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Current Medical Imaging - Current Issue
Volume 20, Issue 1, 2024
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Feasibility of Weight-based Tube Voltage and Iodine Delivery Rate for Coronary Artery CT Angiography
Authors: Ying Wang, Yan Zhang, Aihui Di, Qizheng Wang, Yongye Chen, Huishu Yuan and Ning LangPurposeThe objective of this study was to evaluate the feasibility of weight-based tube voltage and iodine delivery rate (IDR) for coronary artery CT angiography (CCTA).MethodsA total of 193 patients (mean age: 58 ± 12 years) with suspected coronary heart disease indicated for CCTA between May and October 2022 were prospectively enrolled. The subjects were divided into five groups according to body weight: < 60 kg, 60 – 6 Read More
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A Radiomics-clinical Nomogram based on CT Radiomics to Predict Acquired T790M Mutation Status in Non-small Cell Lung Cancer Patients
Authors: Wanrong Xiong, Xiufang Yu, Tong Zhou, Huizhen Huang, Zhenhua Zhao and Ting WangObjective To develop and validate a radiomics-clinical nomogram for the detection of the acquired T790M mutation in patients with advanced non-small cell lung cancer (NSCLC) with resistance after the duration of first-line epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI) treatment. Materials and Methods Thoracic CT was collected from 120 advanced NSCLC patients who suffered progression on first- or s Read More
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Effect of Breath Training on Image Quality of Chest Magnetic Resonance Free-breathing Sequence
Authors: Yehai Jiang, Doudou Pu, Shan Dang and Nan YuBackground:Magnetic Resonance Imaging (MRI) plays a role in demonstrating substantial utility in lung lesion imaging, detection, diagnosis, and evaluation. Previous studies have found that free-breathing star VIBE sequences not only have high image quality but also have a high ability to detect and display nodules. However, in our routine clinical practice, we have encountered suboptimal image quality in the free-breathin Read More
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Resorptive Root Features in Mandibular Molars with Pronounced Root Divergence on Panoramic Radiographs: A Case Series
Authors: Su-Jin Jeon and Han-Gyeol YeomIntroduction The visualization and understanding of the details of the root configurations and root canal structure are essential prior to root canal treatment. This study aimed to identify key indicators of pronounced root divergence between the distobuccal and distolingual roots in mandibular first molars by highlighting common features observed in panoramic radiographs. These indicators can help predict the likelihood of enc Read More
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Performance Analysis of Alexnet for Classification of Knee Osteoarthritis
Authors: Sivakumari T. and Vani R.Background In recent years, automated grading of knee osteoarthritis (KOA) has focused on determining disease progression. Clinical examinations and radiographic image review are necessary for diagnosis. Timely and accurate diagnosis, along with medical care, can slow down KOA progression. X-rays and MRI are crucial diagnostic tools. KOA diagnosis traditionally relies on radiologists' and clinicians' experience. How Read More
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MRI-based Texture Analysis in Differentiation of Benign and Malignant Vertebral Compression Fractures
Authors: Nuri Karabay, Huseyin Odaman, Alper Vahaplar, Ceren Kizmazoglu and Orhan KalemciIntroductionThe diagnosis and characterization of vertebral compression fractures are very important for clinical management. In this evaluation, which is usually performed with diagnostic (conventional) imaging, the findings are not always typical or diagnostic. Therefore, it is important to have new information to support imaging findings. Texture analysis is a method that can evaluate information contained in diagnostic im Read More
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Latest Developments in Magnetic Resonance Imaging for Evaluating the Molecular Microenvironment of Gliomas
Authors: Hanwen Zhang, Hongbo Zhang, Fan Lin and Biao HuangThe 2021 World Health Organization (WHO) Classification of Tumors of the Central Nervous System has brought a transformative shift in the categorization of adult gliomas. Departing from traditional histological subtypes, the new classification system is guided by molecular genotypes, particularly the Isocitrate Dehydrogenase (IDH) mutation. This alteration reflects a pivotal change in understanding tumor behavior, em Read More
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mSegResRF-SPECT: A Novel Joint Classification Model of Whole Body Bone Scan Images for Bone Metastasis Diagnosis
Authors: Bangning Ji, Gang He, Jun Wen, Zhengguo Chen and Ling ZhaoBackground Whole-body bone scanning is a nuclear medicine technique with high sensitivity used for the diagnosis of bone-related diseases [e.g., bone metastases] that can be obtained by positron emission tomography (PET) or single-photon emission computed tomography[SPECT] imaging, depending on the different radiopharmaceuticals used. In contrast to the high sensitivity of the bone scan, it has low specificity, which le Read More
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MRI Manifestations of Breast Cancer Stroma and their Role in Predicting Molecular Subtype: A Case-control Study
Authors: Lanyun Wang, Wenjing Li, Wenjun Yang, Xilin Sun, Yi Ding, Qian Zhao, Weiyan Liu, Xiaoli Xie, Jingjing Xu, Ran Wei, Shizhen Zhu, Yaqiong Ge, Pu-Yeh Wu and Bin SongObjective This study explored whether breast MRI manifestations could be used to predict the stroma distribution of breast cancer (BC) and the role of tumor stroma-based MRI manifestations in molecular subtype prediction. Methods 57 patients with pathologically confirmed invasive BC (non-special type) who had lumpy BC on MRI within one week before surgery were retrospectively collected in the study. Stroma distributions Read More
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CT Quantification of Interstitial Lung Abnormalities and Changes of Age-related Pathomorphology
Authors: Xin Li, Zhimei Gao, Zhenlong Zhu, Yonghui Yang, Hao Liu, Yan Li, Qi Jiao, Dianping You and Shujing LiBackground Interstitial lung abnormalities (ILA) are associated with further disease progression, increased mortality risk, and decline in lung function in the elderly, which deserves enough attention. Objective The objective of this study was to quantify the extent of interstitial lung abnormalities (ILA) in a non-smoking asymptomatic urban cohort in China using low-dose CT (LDCT) and to analyze the age-related path Read More
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Hepatic Portal Venous Gas Associated with Acute Upper Gastrointestinal Hemorrhage: A Case Report and Literature Review
Authors: Chun Wang, Yuanyuan Li, Yunxiang Yin, Cheng Xi and Meixian SuBackgroundHepatic portal venous gas (HPVG) is very rare; it is associated with multiple gastrointestinal etiologies, with pathophysiology not yet fully understood. It is characteristically fast-progressing and has a high mortality rate. Treatment choice depends on the etiology, including conservative and surgical management.Case PresentationWe report an adult patient (less than 25 years old) of HPVG combined with acute upper gas Read More
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T2-weighted Imaging Features of the Fetal Thymus in the Middle and Late Pregnancy: A Post-mortem Study based on Magnetic Resonance Imaging
Authors: Leilei Yuan, Baohua Lv, Han Wang, Zhaohua Wang, Hua Shang, Xiujuan Li, Lisha Liang and Xiangtao LinBackground Fat-suppressed (FS) T2-weighed turbo spin-echo (TSE) sequence was used to detect the signal of the thymus and the characteristics of the thymus location, measure the two-dimensional diameter at specific levels, and analyze the association with gestational weeks. Methods This study involved 51 fetal specimens. Post-mortem MRI scanning was implemented with a 3.0-T MRI system. T2-weighted imaging (T2WI) f Read More
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MR Evaluation of an Unusual Intruder of the Bladder: A Bladder Fibroid Case Report
Authors: Zong Yi Chin, Yee Liang Thian and Yi Ting LimIntroductionMesenchymal tumours of the bladder are benign but rare occurrences and represent approximately 1% of all bladder tumours.Case ReportWe report a case of a large bladder leiomyoma in an asymptomatic patient. A large pelvic mass was discovered incidentally on the bedside ultrasound scan during a review at the gynecology clinic. Intra-operatively, no mass was seen in the pelvis, and cystoscopy demonstrate Read More
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Development and Validation of an Algorithm Model for Predicting Heat Sink Effects during Pulmonary Thermal Ablation
Authors: Peng Du, Zenan Chen, Chang Yuwen, Liangliang Meng, Wei Feng, Zongyuan Ge, Xiao Zhang and Yueyong XiaoAims The aim of this study was to develop an algorithm model to predict the heat sink effect during thermal ablation of lung tumors and to assist doctors in the formulation and adjustment of surgical protocols. Background The heat sink effect is an important factor affecting the therapeutic effect of tumor thermal ablation. At present, there is no algorithm model to predict the intraoperative heat sink effect automatically, whi Read More
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Clinical Application of MRI in Coronavirus Disease 2019: A Bibliometric Analysis
Authors: Jinqun Hu, Jian Xiong, Jing Jiang, Ying Wei, Fayang Ling, Shichun Luo, Jiao Chen, Chengguo Su, Xiao Wang, Wenchuan Qi and Fanrong LiangBackground Currently, coronavirus disease 2019 (COVID-19) continues to remain in the pandemic stage, leading to severe challenges in the global public healthcare system. Magnetic resonance imaging (MRI) methods have played an important role in the diagnosis of COVID-19 and the structural evaluation of the affected organs. Reviewing and summarizing the application of MRI has significant clinical implications for C Read More
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Evaluation of Interstitial Lung Diseases with Deep Learning Method of Two Major Computed Tomography Patterns
Authors: Hüseyin Alper Kiziloğlu, Emrah Çevik and Kenan ZenginBackground Interstitial lung diseases (ILD) encompass various disorders characterized by inflammation and/or fibrosis in the lung interstitium. These conditions produce distinct patterns in High-Resolution Computed Tomography (HRCT). Objective We employ a deep learning method to diagnose the most commonly encountered patterns in ILD differentially. Materials and Methods Patients were categorized into usual inte Read More
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Medical Image Fusion Based on Local Saliency Energy and Multi-scale Fractal Dimension
Authors: Yaoyong Zhou, Xiaoliang Zhu, Panyun Zhou, Zhenwei Xu, Tianliang Liu, Wangjie Li and Renxian GeBackground: At present, there are some problems in multimodal medical image fusion, such as texture detail loss, leading to edge contour blurring and image energy loss, leading to contrast reduction. Objective: To solve these problems and obtain higher-quality fusion images, this study proposes an image fusion method based on local saliency energy and multi-scale fractal dimension. Methods: First, by using a non-subsa Read More
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Multimodal Imaging for the Diagnosis of Massive Left Atrial Metastasis from Lung Cancer - A Case Report
Authors: Li Sun, Ronghong Jiao, Yuanyuan Xing and Yuquan YeBackground:Secondary cardiac tumors are a rare disease that is hard to detect when the tumor is small and asymptomatic. This case report focuses on a massive pulmonary metastasis filling almost the entire left atrium. Multimodal enhancement imaging, cardiac contrast-enhanced ultrasound (CEUS), enhanced electron computed tomography, and positron emission tomography imaging were applied to detect the m Read More
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MR Diffusion-Weighted Imaging in Evaluating Immediate HIFU Treatment Response of Uterine Fibroids
Authors: Yunneng Cui, Jing Zhang, Jiaming RAO, Minqing Feng, Liangfeng Yao, Weibin Liao, Cuishan Liang and Yanping HuangBackground:Nowadays, High Intensity Focused Ultrasound (HIFU) is a common surgery option for the treatment of uterine fibroids in China, the immediate response of which is clinically evaluated using Contrast Enhanced (CE) imaging. However, the injection of gadolinium with its potential adverse effect is of concern in CE and therefore, it deserves efforts to find a better imaging method without the need for contrast agent Read More
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Histogram Feature Analysis of Tumor Body on Diffusion-weighted MR Imaging in Differentiation between Granulosa Cell Tumors and Other Sex-cord Tumors in Ovary: Comparison with Histological Results
Authors: Minjie Wu, Tianping Wang, Feiran Zhang, Yida Wang, Guofu Zhang, Minhua Shen and He ZhangObjective We aimed to differentiate granulosa cell tumors (GCT) from other ovarian sex-cord tumors (OSCs) based on feature analysis of the tumor body on MR imaging. Methods We retrospectively enrolled 27 patients with pathologically proven sex-cord tumours (14 GSTs, 8 fibromas, 4 fibrothecomas, and 1 sclerosing stromal tumour) from our institution. All MRI examinations were performed at least one month prior to Read More
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The Efficiency of Acoustic Radiation Force Impulse (ARFI) Elastography in the Differentiation of Renal Cell Carcinoma and Oncocytoma
Purpose This study is to investigate the effectiveness of Acoustic Radiation Force Impulse (ARFI) elastography in differentiating radiologically similar renal cell carcinoma (RCC) and oncocytoma in solid masses of the kidney. Methods The patients with solid renal mass histopathological diagnosed after excision or tru-cat biopsy who underwent a preoperative ARFI elastography of the lesion during a 4-year period were included in th Read More
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Decreased Cerebral Perfusion in Chronic Migraine: A Voxel-based Cerebral Blood Flow Analysis Using 3D Pseudo-continuous Arterial Spin Labeling
Authors: Xin Li, Mengqi Liu, Shuqiang Zhao and Zhiye ChenBackground A contrast agent-free approach would be preferable to the frequently used invasive approaches for evaluating cerebral perfusion in chronic migraineurs (CM). In this work, non-invasive quantitative volumetric perfusion imaging was used to evaluate alterations in cerebral perfusion in CM. Methods We used conventional brain structural imaging sequences and 3D pseudo-continuous arterial spin labeling (3D Read More
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Investigation of Medical Image Technology Based on Big Data Neuroscience in Exercise Rehabilitation
Authors: Shuhua Zhang and Jijin SunPurposeThe purpose of this article is to combine the functional information of CT images with the anatomical and soft tissue information of MRI through image fusion technology, providing more detailed information for rehabilitation treatment and thus providing a scientific basis for clinical applications and better training plans.MethodsIn this paper, functional brain imaging technology combining CT (computed tomography) Read More
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Segmentation of Brain MRI Images using Multi-Kernel FCM EHO Method
Authors: Sreedhar Kollem, Ch. Rajendra Prasad, J. Ajayan, Sreejith S., LMI Leo Joseph and Patteti KrishnaBackgroundIn image processing, image segmentation is a more challenging task due to different shapes, locations, image intensities, etc. Brain tumors are one of the most common diseases in the world. So, the detection and segmentation of brain tumors are important in the medical field.ObjectiveThe primary goal of this work is to use the proposed methodology to segment brain MRI images into tumor and non-tumo Read More
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Fallopian Tube Leiomyoma Presenting as a Huge Abdominopelvic Cystic Mass: A Case Report and Literature Review
Authors: Juan Wu, Xiaofeng Wang, Na Ye, Xueliang Yan, Xiangting Zeng and Fang NieIntroduction Fallopian tube leiomyoma is an uncommon, benign gynecologic tumor that originates from the smooth muscle of the fallopian tube or vascular cells supplying the fallopian tube. Case Presentation In this study, we report a case of a patient with fallopian tube leiomyoma. What makes this instance even more unique is the association of the leiomyoma with cystic degeneration, manifesting as a large abdominopel Read More
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Quantitative Comparison of Liver Volume, Proton Density Fat Fraction, and Time Burden between Automatic Whole Liver Segmentation and Manual Sampling MRI Strategies for Diagnosing Metabolic Dysfunction-associated Steatotic Liver Disease in Obese Patients
Authors: Di Cao, Yifan Yang, Mengyi Li, Yang Liu, Dawei Yang, Hui Xu, Han Lv, Zhongtao Zhang, Peng Zhang, Xibin Jia and Zhenghan YangBackgroundThe performance of automatic liver segmentation and manual sampling MRI strategies needs be compared to determine interchangeability.ObjectiveTo compare automatic liver segmentation and manual sampling strategies (manual whole liver segmentation and standardized manual region of interest) for performance in quantifying liver volume and MRI-proton density fat fraction (MRI-PDFF), iden Read More
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Structured Reporting of Computed Tomography Enterography in Crohn’s Disease
Authors: Hui Zhu, Suying Chen, Jinghao Chen, Jushun Yang, Ruochen Cong, Jinjie Sun, Yachun Xu and Bosheng HeBackground:To compare the integrity, clarity, conciseness, etc., of the structured report (SR) versus free-text report (FTR) for computed tomography enterography of Crohn’s disease (CD).Methods:FTRs and SRs were generated for 30 patients with CD. The integrity, clarity, conciseness etc., of SRs versus FTRs, were compared. In this study, an evidence-based medicine practice model was utilized on 92 CD p Read More
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Zinner Syndrome: Radiologic Diagnosis in a Rare Case
Authors: Derya Bas and Mustafa Orhan NalbantBackground Zinner’s syndrome is a rare congenital malformation of the seminal vesicle and ipsilateral upper urinary tract caused by mesonephric duct developmental anomaly during early embryogenesis. This study aimed to demonstrate the significance of magnetic resonance imaging (MRI) in distinguishing pelvic cysts in males, given that MRI is the gold standard exam for confirming the diagnosis and managing therapy. Cas Read More
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How to Collect and Interpret Medical Pictures Captured in Highly Challenging Environments that Range from Nanoscale to Hyperspectral Imaging
Authors: Asif A. Laghari, Vania V. Estrela and Shoulin YinDigital well-being records are multimodal and high-dimensional (HD). Better theradiagnostics stem from new computationally thorough and edgy technologies, i.e., hyperspectral (HSI) imaging, super-resolution, and nanoimaging, but advance mess data portrayal and retrieval. A patient's state involves multiple signals, medical imaging (MI) modalities, clinical variables, dialogs between clinicians and patients, metadata, genome Read More
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Deep Learning Models for Coronary Atherosclerosis Detection in Coronary CT Angiography
Authors: Amel Laidi, Mohammed Ammar, Mostafa EL Habib Daho and Said MahmoudiBackground Patients with atherosclerosis have a rather high risk of showing complications, if not diagnosed quickly and efficiently. Objective In this paper we aim to test and compare different pre-trained deep learning models, to find the best model for atherosclerosis detection in coronary CT angiography. Methods We experimented with different pre-trained deep learning models and fine-tuned each model to achieve the best Read More
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Medical Imaging and Analysis of Thermal Necrosis During Bone Grinding: Implementation of Non-dominated Sorting Genetic Algorithm (NSGA-III) in Healthcare
Authors: Atul Babbar, Vivek Jain, Dheeraj Gupta, Vidyapati Kumar, Bhargav Prajwal Pathri and Ankit SharmaBackgroundMedical imaging plays a key role in neurosurgery; thereby, imaging and analysis of the soft and hard tissues during bone grinding is of paramount importance for neurosurgeons. Bone grinding, a minimally invasive operation in the field of neurosurgery amid osteotomy, has been used during brain cancer surgery.Aims and ObjectivesWith increasing attention to neural tissue damage in machining operations, imagin Read More
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Performance of the Iterative OSEM and HYPER Algorithm for Total-body PET at SUVmax with a Low 18F-FDG Activity, a Short Acquisition Time and Small Lesions
Authors: Keyu Zan, Yanhua Duan, Minjie Zhao, Hui Li, Xiao Cui, Leiying Chai and Zhaoping ChengObjectiveThe primary objective of this comparative investigation was to examine the qualitative attributes of image reconstructions utilizing two distinct algorithms, namely OSEM and HYPER Iterative, in total-body 18F- FDG PET/CT under various acquisition durations and injection activities.MethodsAn initial assessment was executed using a NEMA phantom to compare image quality engendered by OSEM and HYPE Read More
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The Evaluation of Clinical and Intravoxel Incoherent Motion Parameters of Primary Lesion in Oligometastatic Prostate Cancer
Authors: Shuang Meng, Lihua Chen, Nan Wang, Yunsong Liu and Ailian LiuBackground:In the realm of cancer studies,the differences among the biological behavior of oligometastatic prostate cancer (OPCa), localized prostate cancer (LPCa), and widely prostate cancer (WPCa) are still unclear.Objectives:The purpose of our study was to assess the clinical and intravoxel incoherent motion (IVIM) parameters of tumor burden in OPCa. In addition, the correlation between clinical and IVIM paramet Read More
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Recurrent Plunging Ranula – A Rare Case Report
Authors: Jyotsna Naresh Bharti and Jitendra Singh NigamBackground:Plunging ranula is a variant of ranula, which present as a painless subcutaneous anterolateral neck mass and is located beyond the mylohyoid muscle. Plunging ranula is a diagnostic challenge and can present with intraoral component.Case Report:An elderly male presented with painless neck mass in the cervical region for three months. The mass was excised, and the patient is doing well on follow-up. We report Read More
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Research Progress in Tumor Diagnosis Based on Raman Spectroscopy
Authors: Zhichao Wang, Huanghao Shi, Litao Zhou, Jian Yin, Huancai Yin, Liangxu Xie and Shan ChangBackground Cancer is a major disease that threatens human life and health. Raman spectroscopy can provide an effective detection method. Objective The study aimed to introduce the application of Raman spectroscopy to tumor detection. We have introduced the current mainstream Raman spectroscopy technology and related application research. Methods This article has first introduced the grim situation of maligna Read More
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Real-time Strain-encoding Cardiovascular MRI for Assessment of Regional Heart Function in Tetralogy of Fallot Patients
Background Tetralogy of Fallot (ToF) is the most common form of cyanotic congenital heart disease, where right ventricular (RV) function is an important determinant of subsequent intervention. Objective In this study, we evaluate the feasibility of fast strain-encoding (fastSENC; a one-heartbeat sequence) magnetic resonance imaging (MRI) for assessing regional cardiac function in ToF. Methods FastSENC was implemen Read More
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Predicting One-year Recurrence of HCC based on Gadoxetic Acid-enhanced MRI by Machine Learning Models
Authors: Yingyu Lin, Jifei Wang, Yuying Chen, Xiaoqi Zhou, Mimi Tang, Meicheng Chen, Chenyu Song, Danyang Xu, Zhenpeng Peng, Shi-Ting Feng, Chunxiang Zhou and Zhi DongObjective Accurate prediction of recurrence risk after resction in patients with Hepatocellular Carcinoma (HCC) may help to individualize therapy strategies. This study aimed to develop machine learning models based on preoperative clinical factors and multiparameter Magnetic Resonance Imaging (MRI) characteristics to predict the 1-year recurrence after HCC resection. Methods Eighty-two patients with single HCC who un Read More
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Imaging Features and Misdiagnosis of Giant Cerebral Cavernous Malformations
Authors: Mengqiang Xiao, Meng Zhang, Min Lei, Fenghuan Lin, Yanxia Chen, Jingfeng Liu, Jun Chen and Nianyuan LuoBackground While cerebral cavernous malformations (CCMs) have been extensively described, few reports have described the imaging appearance of giant CCMs (GCCMs). Objective To describe the imaging characteristics of GCCMs and study the reasons for preoperative misdiagnosis. Methods We retrospectively analyzed the data of 12 patients (5 men, 7 women; mean age, 35.23 ± 12.64 years) with histopathologically confirm Read More
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Evaluation of the Atherogenic Effect of Covid-19 Pneumonia on Coronary and Carotid Arteries in Patients who Recovered from the Disease
Authors: Semih Sağlık and Necip NasBackground Acute inflammation induced by COVID-19 may lead to atherosclerotic plaque development or complicate existing plaque. In this study, we aimed to determine the atherogenic effect of COVID-19 pneumonia, confirmed by thoracic computed tomography, on coronary and carotid arteries in patients who recovered from the disease. Methods Our study included patients who were diagnosed with COVID-19 in our hos Read More
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Clinical Presentations, MDCT Features, and Treatment of Three Types of Adult Intussusceptions Based on the Location
Authors: Qiu-jie Dong, Jing Shi, Chun-lai Zhang, Xiao-guang Li, Xiao Chen and Yi WangPurposeThis study aimed to explore the similarities and differences in clinical presentations, multidetector computed tomographic (MDCT) features, and treatment of three types of adult intussusceptions based on location.MethodsWe retrospectively reviewed 184 adult patients with 192 intussusceptions. Depending on the location, intussusceptions were classified as enteric, ileocolic, and colonic types. The similarities and Read More
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Ultrasonographically Measured Rectus Femoris Cross-sectional Area might Predict Osteosarcopenia
Aim:We have aimed to investigate the role of ultrasonographic muscle parameters (UMP) in predicting osteosarcopenia in bedridden patients in a palliative care center.Background:The role of ultrasound has not been evaluated in predicting osteosarcopenia.Objective:Reduced muscle thickness (MT) and cross-sectional area (CSA) have often been observed in individuals with sarcopenia, reflecting muscle loss and atrophy. Meanw Read More
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The Relationship between Quantitative Parameters of Dual-energy CT and HIF-1α Expression in Non-Small Cell Lung Cancer
Authors: Xi-Wen Meng, Ya-Wen Pi, Guang-Li Wang, Shu-Na Qi, Gui-Hui Zhang and Yu-Xia ChengObjective:This study aimed to investigate whether there is a correlation between quantitative parameters of dual-energy computed tomography (DECT) and the relative expression of HIF-1α in patients with non-small cell lung cancer (NSCLC) to preliminarily explore the value of DECT in evaluating the hypoxia of tumor microenvironment and tumor biological behavior and provide more information for the treatment of NS Read More
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Diagnostic Strategy for Suspected Unilateral Absence of the Pulmonary Artery
Authors: Van Luong Hoang, Viet Anh Lam and Thanh Nguyen PhamBackgroundUnilateral absence of the pulmonary artery (UAPA) is a very rare congenital anomaly.ObjectiveTo analyze the diagnostic strategy applied to seven patients with UAPA who were examined and subsequently treated at the National Lung Hospital, Hanoi, Vietnam.MethodsAll seven patients, including three pediatric cases (1, 2, and 14 years old) and four adult cases (21, 26, 44, and 53 years old), had a history of recu Read More
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Prediction of Lymphovascular Space Invision in Endometrial Cancer based on Multi-parameter MRI Radiomics Model
Authors: Jin Jun Wang, Xiao Hong Zhang, Xing Hua Guo, Yang Ying, Xiang Wang, Zhong Hua Luan, Wei Qin Lv and Peng Fei WangObjective To explore the application value of a combined model based on multi-parameter MRI radiomics and clinical features in preoperative prediction of lymphatic vascular space invasion (LVSI) in endometrial carcinoma (EC). Methods This retrospective study collected the clinicopathological and imaging data of 218 patients with EC in Yuncheng Central Hospital from March 2018 to May 2022. The patients w Read More
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Application Exploration of Medical Image-aided Diagnosis of Breast Tumour Based on Deep Learning
Authors: Zhen Hong, Xin Yan, Ran Zhang, Yuanfang Ren, Qian Tong and Chadi AltrjmanBackgroundNowadays, people attach increasing importance to accurate and timely disease diagnosis and personalized treatment. Because of the uncertainty and latency of the pathogenesis, it is difficult to detect breast tumour early. With higher resolution, magnetic resonance imaging (MRI) has become an important method for early detection of cancer in recent years. At present, DL technology can automatically study imag Read More
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Does Post-/Long-COVID-19 Affect Renal Stiffness without Causing any Chronic Systemic Disorders?
Authors: Serdal Çitil and Yusuf AksuBackground In the last few years, coronavirus disease 2019 (COVID-19) has changed human lifestyle, behavior, and perception of life. This disease is caused by severe acute respiratory syndrome coronavirus 2 (SARS-COV-2). In the literature, there are limited studies about the late renal effects of COVID-19 that reflect the systemic involvement of this disease. Aim In the present study, we aimed to compare sonoelastographic ch Read More
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A Retrospective Analysis of the Computed Tomography Findings and Diagnosis of 53 Cases of Elastofibroma in the Infrascapular Region
Authors: Jian-wu Wang and Ru-chen PengObjectiveIn this work, we have used histopathology as the gold standard for the diagnosis, calculated the sensitivity and positive predictive value (PPV) of computed tomography (CT), and analyzed the CT and clinical characteristics of pathologically proven elastofibromas.MethodsA systematic retrospective analysis was performed on all patients with infrascapular lesions who were treated in the hospital from 2006 to 2018. CT a Read More
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Clinical and Temporal Radiological Findings from Critical Patients with COVID-19 Pneumonia: A Descriptive Study
Authors: Ye Tian, Yuqiong Wang, Min Liu, Xu Huang, Yi Zhang, Xiaojing Wu, Linna Huang, Xiaoyang Cui, Sichao Gu and Qingyuan ZhanBackground In late December 2019, Wuhan, the capital of Hubei Province, China, became the center of an outbreak of pneumonia caused by severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2). Introduction The radiological changes in the lungs of critical people with coronavirus disease 2019 (COVID-19) pneumonia at different times have not been fully characterized. We aim to describe the computed Read More
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The Value of Nerve Ultrasound to Diagnose and Follow Up the Multifocal Neurolyphomatosis in the Upper Limb---- Case Report and Literature Review
Authors: Nan Zhuang, Lu Xie, Dongsheng Liu and HaiQin XieIntroductionNeurolymphomatosis (NL) is a rare disease. Ultrasound (US) plays a crucial role in diagnosing and following up the NL.Case PresentationA 59-year-old man was hospitalized with acute pain in the left upper extremity. Ultrasound revealed segmental swelling of multiple nerves around his left elbow with abundant blood flow signals. Contrast-Enhanced Ultrasound (CEUS) showed a rapid, complete and ho Read More
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Modular Edge Analysis Reveals Chemotherapy-induced Brain Network Changes in Lung Cancer Patients
Authors: Jia You, Zhengqian Wang, Lanyue Hu, Yujie Zhang, Feifei Chen, Xindao Yin, Yu-Chen Chen and Xiaomin YongBackground Lung cancer patients with post-chemotherapy may have disconnected or weakened function connections within brain networks. Objective This study aimed to explore the abnormality of brain functional networks in lung cancer patients with post-chemotherapy by modular edge analysis. Methods Resting-state functional magnetic resonance imaging (rs-fMRI) scans were performed on 40 patients after chem Read More
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Another CCTA Incidental Finding: Case Report of an Idiopathic Pulmonary Vein Pseudo-thrombosis
Authors: Abraham Bordon, Noah Weg, Raphael Miller, Jay Leb, Seth I Sokol and Mark GuelfguatIntroduction While pulmonary vein filling defects on CT are typically considered diagnostic for thrombus, under certain circumstances, they can be artifactual as a result of flow phenomena. Case Presentation We report a case of a 53-year-old female with chest pain who was found to have filling defects in pulmonary vein branches on CCTA that were initially treated as thromboses. However, follow-up cardiac MRI was negative for Read More
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A Case Report of Diffuse-type Tenosynovial Giant Cell Tumor as a Calcaneus Mass: A Diagnostic Challenge
Authors: Zheng Wang, Xiang Wang and Shutong ZhangIntroduction Diffuse-type tenosynovial giant cell tumor (D-TGCT) originates from synovial cells in tendon sheaths and bursae and rarely presents as a calcaneal mass. Case Report A 44-year-old female presented with left heel pain that had persisted for over a year and had worsened over the past six months. A mass was found on the Lateral radiograph of the calcaneus, which was diagnosed as an aneurysmal bone cyst. Non-c Read More
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The Diagnostic Value of Abnormal Bone Marrow Signal Changes on Magnetic Resonance Imaging: Is Bone Marrow Biopsy Essential?
Authors: Fatma Arikan, Yasin Yildiz, Rabia Ergelen, Isık Atagündüz and Tayfur ToptasBackground It is essential to determine whether bone marrow signal changes on magnetic resonance imaging (MRI) represent a physiological response or pathology; at present, the clinical significance of these signal changes is unclear. It is unknown whether a bone marrow biopsy is required when bone marrow signal changes are detected incidentally in individuals without suspected malignancy. Objective The primar Read More
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The Effect of Contrast-enhanced Ultrasound via Vessels and Surgical Drains Guidance Percutaneous Catheter Drainage in the Treatment of Pyogenic Liver Abscess
Authors: Yuan Ming, Hongmei Wei, Yulin Zhang, Guoqiang Gao, Bo Deng, Li Huang, Qiuping Wang, Xiaodan Zheng and Xue LuoBackground: Pyogenic liver abscess (PLA) is a purulent disease caused by microbial contamination of liver parenchyma and includes amoebic liver abscess, fungal liver abscess, and the most common bacterial liver abscess. Objective: Explore the efficacy of contrast-enhanced ultrasound (CEUS) via vessels and surgical drain guidance percutaneous catheter drainage (PCD) in the treatment of pyogenic liver abscesses (PLA). Materi Read More
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Epithelioid Mesothelioma of Peritoneum Masquerading as Peritoneal Carcinomatosis
More LessIntroduction Mesothelioma is an insidious neoplasm that develops from mesothelial cells. About 80% of mesotheliomas originate in the pleural cavity. Other sites where it has been reported are the peritoneal cavity, tunica vaginalis, and the pericardium. Case Presentation A 45-year-old female complained of abdominal distention and pain for three months. There was a significant weight loss of approximately 15 kg in the Read More
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A New Approach based on Fuzzy Clustering and Enhancement Operator for Medical Image Contrast Enhancement
More LessBackground: Image enhancement is a very significant topic in image processing that improves the quality of the images. The methods of image enhancement are classified into 3 categories. They include histogram method, fuzzy logic method and optimal method. Studies on image enhancement are often based on rules: if it's bright then it's brighter, if it's dark then it's darker and using the global approach. So, it's h Read More
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The Correlation between Region-specific Epicardial Adipose Tissue and Myocardial Ischemia Defined by CT-FFR in Type 2 Diabetes Mellitus Patients
Authors: Zheng Wang, Zengfa Huang and Xiang WangBackground Epicardial Adipose Tissue (EAT) accumulation is closely associated with the presence and severity of coronary artery disease (CAD), myocardial ischemia, plaque vulnerability, and major adverse cardiovascular events. Objective The aim of this study was to investigate the correlation between myocardial ischemia defined by computed tomography-derived fractional flow reserve (CT-FFR) and region-specific Read More
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Combination of Contrast-enhanced FlAIR and Contrast-enhanced T1WI: A Quick and Efficient Method in Detecting Brain Metastases of Lung Cancers
Authors: Linlin Sun, Shihai Luan, Xiaodan Ye, Jing Chen, Jueqian Shi, Huiyuan Zhu, Haiyang Dong, Guangyu Tao, Xuemei Liu, Li Zhu and Hong YuBackground Some patients with suspected brain metastases (BM) could not tolerate longer scanning examinations according to the standardized MRI protocol. Objective The purpose of this study was to evaluate the clinical value of contrast-enhanced fast fluid-attenuated inversion recovery (CE FLAIR) imaging in combination with contrast-enhanced T1 weighted imaging (CE T1WI) in detecting BM of lung cancer and explore a Read More
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SegEIR-Net: A Robust Histopathology Image Analysis Framework for Accurate Breast Cancer Classification
Authors: Pritpal Singh, Rakesh Kumar, Meenu Gupta and Fadi Al-TurjmanBackground Breast Cancer (BC) is a significant threat affecting women globally. An accurate and reliable disease classification method is required to get an early diagnosis. However, existing approaches lack accurate and robust classification. Objective This study aims to design a model to classify BC Histopathology images accurately by leveraging segmentation techniques. Methods This work proposes a combined segment Read More
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Additional Non-contrast CT to Portal Venous Phase is not Relevant for Patients referred for Colonic Diverticulitis or Sigmoiditis Suspicion
Objective To evaluate the usefulness of unenhanced CT added to the portal venous phase in the diagnostic accuracy of acute colonic diverticulitis/sigmoiditis. Methods Between January 1st and December 31st, 2020, all consecutive adult patients referred to the radiology department for clinical suspicion of acute colonic diverticulitis/sigmoiditis were retrospectively screened. To be included, patients must h Read More
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- Medicine, Imaging, Radiology, Nuclear Medicine
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Secondary Degeneration of White Matter Tract following Basal Ganglia Infarction: A Longitudinal Diffusion Tensor Imaging Study
Authors: Shasha Zheng, Qixiang Lin, Miao Zhang, Hesheng Liu, Yong He and Jie LuIntroductionWe explored the relationship between secondary degeneration of white matter (WM) tracts and motor outcomes after left basal ganglia infarction and investigated alterations in the diffusion indices of WM tracts in distal areas.MethodsClinical neurological evaluations were accomplished using the Fugl–Meyer scale (FMS). Then, the fractional anisotropy (FA) of the bilateral superior corona radiata (SCR), Read More
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Salt-and-pepper Noise Reduction for Medical Images based on Image Fusion
Authors: Shixiao Wu, Chengcheng Guo and Xinghuan WangBackground During the collection process, the prostate capsula is prone to introduce salt and pepper noise due to gastrointestinal peristalsis, which will affect the precision of subsequent object detection. Objective A cascade optimization scheme for image denoising based on image fusion was proposed to improve the peak signal-to-noise ratio (PSNR) and contour protection performance of heterogeneous medical images after Read More
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Assessment of the Characteristics of Patent Foramen Ovale Associated with Cryptogenic Stroke
Authors: Hong Pu, Qing Zhang, Jing Wu, Yuan Zhang, Yaxi Zhao and Ling LiObjective This study aims to comprehensively assess the characteristics of patent foramen ovale (PFO) in relation to Cryptogenic Strok (CS) by utilizing transesophageal echocardiography (TEE) and contrast transthoracic echocardiography (c-TTE) and to identify high-risk factors associated with PFO-related CS. Background Transcatheter PFO closure has demonstrated its effectiveness in preventing PFO-related CS. Therefore Read More
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T1 Mapping and Amide Proton Transfer Weighted Imaging for Predicting Lymph Node Metastasis in Patients with Rectal Cancer
Authors: Yue Wang, Anliang Chen, Wenjun Hu, Yuhui Liu, Jiazheng Wang, Liangjie Lin, Qingwei Song and Ailian LiuBackground: Accurate preoperative judgment of lymph node (LN) metastasis is a critical step in creating a treatment strategy and evaluating prognosis in rectal cancer (RC) patients. Objective: This study aimed to explore the value of T1 mapping and amide proton transfer weighted (APTw) imaging in predicting LN metastasis in patients with rectal cancer. Methods: In a retrospective study, twenty-three patients with patholog Read More
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Disease Course and Pulmonary Involvement of COVID-19 during the Delta Variant Period in Germany: A Comparative Study of Vaccinated and Unvaccinated Patients at a Tertiary Hospital
Background Despite the availability of vaccines, there is an increasing number of SARS-CoV-2-breakthrough-infections. Objective The aim of this study was to determine whether there is a radiological difference in lung parenchymal involvement between infected vaccinated and unvaccinated patients. Additionally, we aimed to investigate whether vaccination has an impact on the course of illness and the need for intensive car Read More
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Empirical Curvelet-ridgelet Wavelet Transform for Multimodal Fusion of Brain Images
Authors: Anupama Jamwal and Shruti JainBackground: Empirical curvelet and ridgelet image fusion is an emerging technique in the field of image processing that aims to combine the benefits of both transforms. Objective: The proposed method begins by decomposing the input images into curvelet and ridgelet coefficients using respective transform algorithms for Computerized Tomography (CT) and magnetic Resonance Imaging (MR) brain images. Methods: An Read More
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Anomalous Origin of the Left Coronary Artery from the Pulmonary Artery Diagnosed in Adulthood
Authors: Nanai Xie, Jingyan Liu, Heng Zhang, Yuhui Zhu and Wanling MaIntroduction An anomalous left coronary artery from the pulmonary artery (ALCAPA) is a rare heart malformation, with 90% of patients dying during the first year of life. If the right coronary artery compensation and multiple collateral circulation are sufficiently established, the patient's myocardial ischemia symptoms are mild and appear later, which is called the adult type ALCAPA. Case Description A 42-year-old woman Read More
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Fusion of Multimodal Medical Images based on Fine-grained Saliency and Anisotropic Diffusion Filter
Authors: Harmanpreet Kaur, Renu Vig, Naresh Kumar, Apoorav Sharma, Ayush Dogra and Bhawna GoyalBackground A clinical medical image provides vital information about a person's health and bodily condition. Typically, doctors monitor and examine several types of medical images individually to gather supplementary information for illness diagnosis and treatment. As it is arduous to analyze and diagnose from a single image, multi-modality images have been shown to enhance the precision of diagnosis and evaluatio Read More
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Relationships between Size-specific Dose Estimate and Signal to Noise Ratio under Chest CT Examinations with Tube Current Modulation
Authors: Tian Qin, Jing Wang, Mengting Wang, Ye Gu, Zongyu Xie and Baohui LiangPurposeExploring the relationship between the signal-to-noise ratio (SNR) of organs and size-specific dose estimate (SSDE) in tube current modulation (TCM) chest CT examination.MethodsForty patients who received TCM chest CT scanning were retrospectively collected and divided into four groups according to the tube voltage and sexes. We chose to set up the region of interest (ROI) at the tracheal bifurcation and its u Read More
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Dual-energy CT Portal Venography: Clinical Application Values and Future Opportunities
Authors: Yu Yang Peng, Jing Yan, Yu Ru Li, Xiao Rui Lu, Lu Yao Wang, Ping Fan Jia and Xing GuoStandard multidetector computed tomography (MDCT) uses a single X-ray tube to emit a mixed energy X-ray beam, which is received by a single detector. The difference is that dual-energy CT (DECT), a new equipment in recent years, employs a single X-ray tube or two X-ray tubes to emit two single-energy X-ray beams, which are received by a single or two detectors. The application of dual-energy technology to portal ven Read More
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Enhanced Regularized Ensemble Encoderdecoder Network for Accurate Brain Tumor Segmentation
Background Segmenting tumors in MRI scans is a difficult and time-consuming task for radiologists. This is because tumors come in different shapes, sizes, and textures, making them hard to identify visually. Objective This study proposes a new method called the enhanced regularized ensemble encoder-decoder network (EREEDN) for more accurate brain tumor segmentation. Methods The EREEDN model first preproce Read More
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Differentiating the Presence of Brain Stroke Types in MR Images using CNN Architecture
Authors: Srisabarimani Kaliannan and Arthi RengarajBackgroud Stroke is reportedly the biggest cause of death and disability in the world, according to the World Health Organisation (WHO). The severity of a stroke can be lowered by recognising the many stroke warning indicators early on. Using CNN, the primary goal of this study is to predict the likelihood that a brain stroke would develop at an early stage. Objective The novelty of the proposed work is to acquire mode Read More
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A Novel Approach to the Technique of Lung Region Segmentation Based on a Deep Learning Model to Diagnose COVID-19 X-ray Images
Authors: Xuejie Ding, Qi Zhou, Zifan Liu, Jamal Alzobair Hammad Kowah, Lisheng Wang, Xialing Huang and Xu LiuBackground The novel coronavirus pandemic has caused a global health crisis, placing immense strain on healthcare systems worldwide. Chest X-ray technology has emerged as a critical tool for the diagnosis and treatment of COVID-19. However, the manual interpretation of chest X-ray films has proven to be inefficient and time-consuming, necessitating the development of an automated classification system. Objective In res Read More
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Immunoglobulin G4 (IgG4)-related Lymphadenopathy in Submandibular Space Mimicking Submandibular Malignant Tumor: A Case Report
By Go Eun YangBackground: Immunoglobulin G4 (Ig G4)-related disease is rare; however, it is a fibroinflammatory disease that has been studied a lot so far. Although the expression pattern varies depending on the organ affected, it usually manifests as organ hypertrophy and organ dysfunction. Case Presentation: A 46-year-old man was referred to our otorhinolaryngology department for left submandibular swelling and tenderness th Read More
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MRI Plain Scan: A Tool in the Management of Cervical Cancer during Pregnancy
Authors: Feng Gao, Ting Qian, Minghua Sun, Yuanyuan Lu, Jiejun Cheng and Le FuObjective The purpose of this study was to assess the diagnostic value of magnetic resonance imaging (MRI) in staging and treatment of cervical cancer in pregnancy, and to evaluate the benefit of apparent diffusion coefficient (ADC) during neoadjuvant chemotherapy management. Materials and Methods This was a retrospective cohort study. Patients were divided into two groups according to the stage of cervical cancer. The Read More
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Computational Model for the Detection of Diabetic Retinopathy in 2-D Color Fundus Retina Scan
Authors: Akshit Aggarwal, Shruti Jain and Himanshu JindalBackground Diabetic Retinopathy (DR) is a growing problem in Asian countries. DR accounts for 5% to 7% of all blindness in the entire area. In India, the record of DR-affected patients will reach around 79.4 million by 2030. Aims The main objective of the investigation is to utilize 2-D colored fundus retina scans to determine if an individual possesses DR or not. In this regard, Engineering-based techniques such as deep learnin Read More
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Intravoxel Incoherent Motion Diffusion-weighted Magnetic Resonance Imaging combined with Texture Analysis in Predicting the Histological Grades of Rectal Adenocarcinoma
Authors: Fei Gao, Jie Zhou, Wuteng Cao, Jiaying Gong, Peipei Wang, Chuanbin Wang, Xin Fang and Zhiyang ZhouPurpose To evaluate the predictive value of 3.0T MRI Intravoxel Incoherent motion diffusion-weighted magnetic resonance imaging (IVIM-DWI) combined with texture analysis (TA) in the histological grade of rectal adenocarcinoma. Methods Seventy-one patients with rectal adenocarcinoma confirmed by pathology after surgical resection were collected retrospectively. According to pathology, they were divided into a poorly d Read More
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Iatrogenic Pseudoaneurysm with Acute Arterial Thrombosis in Multiple Branches of the Lower Limbs Treated by Ultrasound-guided Thrombin Injection: A Case Report
Authors: Bo Gou, Bin Tu, Feng-Yue Xin, Ji-Cheng Zhang, Jie Wang and Jian LiuIntroductionWith the development of vascular intervention, pseudoaneurysm complications are increasing. Ultrasound-guided thrombin injection (UGTI) is currently the treatment of choice for pseudoaneurysm, but the pharmacological properties of thrombin may trigger acute thrombosis within the vessel lumen. Despite a very low incidence, this type of primary arterial thrombosis is a serious complication of UGTI, and cas Read More
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A Good Prognosis of Patients with Acute Pancreatitis Combined with Pulmonary Embolism: Early Identification and Intervention
Authors: Ling-ling Yan, Shao-wei Li, Yu-xin Fang, Xiao-dan Yan and Bi-li HeBackground Pulmonary embolism (PE) is a relatively rare vascular complication of acute pancreatitis (AP), and its mortality rate is high. To our knowledge, relevant literature reports still need to be summarized. In this study, we analyzed the clinical characteristics, treatment, and prognosis of five patients with AP complicated by PE and summarized and reviewed the relevant literature. Methods Clinical data of patients with A Read More
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Clinical Implementation of Dual-Energy CT Technical for Hepatobiliary Imaging
Authors: Tian Li, Hao Xiong, Guang-Hai Ji, Xiao-Han Zhang, Jie Peng and Bo LiDual-energy computed tomography (DECT) applies two energy spectra distributions to collect raw data based on traditional CT imaging. The application of hepatobiliary imaging, has the advantages of optimizing the scanning scheme, improving the imaging quality, highlighting the disease characterization, and increasing the detection rate of lesions. In order to summarize the clinical application value of DECT in hepatobiliar Read More
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Machine Learning-based Deep Analysis of Human Blood using NIR Spectrophotometry Signatures
Authors: Yogesh Kumar, Ayush Dogra, Varun Dhiman, Vishavpreet Singh, Ajeet Kaushik and Sanjeev KumarBackground Non-invasive bio-diagnostics are essential for providing patients with safer treatment. In this subject, significant growth is attained for non-invasive anaemia detection in terms of Hb concentration by means of spectroscopic and image analysis. The lower satisfaction rate is found due to inconsistent results in various patient settings. Objective This observational study aims to present an adaptable point-of-care Nea Read More
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The Sentinel Node and Occult Lesion Localization (SNOLL) Technique Using a Single Radiopharmaceutical in Non-palpable Breast Lesions
Authors: Berna Okudan, Bedri Seven and Pelin ArıcanBackground In order to perform a full surgical resection on non-palpable breast lesions, a current method necessitates correct intraoperative localization. Additionally, because it is an important prognostic factor for these patients, the examination of the lymph node status is crucial. Objective The aim of this study was to evaluate the efficiency of the sentinel node and occult lesion localization (SNOLL) technique in loc Read More
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Primary Pulmonary Enteric Adenocarcinoma: Rare Imaging Findings
Authors: Lixuan Xie, Zhijun Liu and Yousan ChenIntroduction Pulmonary enteric adenocarcinoma (PEAC) is an extremely rare variant of lung adenocarcinoma characterized by pathological features similar to those of colorectal adenocarcinoma. It is mostly observed on computed tomography (CT) and positron emission tomography (PET)/CT as solitary or multiple nodules/masses in the lung. It tends to grow rapidly and is difficult to distinguish from lung metastatic col Read More
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Conspicuous Peripheral Retinal Hemorrhages with a Relatively Preserved Posterior Pole in Immune Thrombocytopenic Purpura
Authors: Cemal Çavdarlı, Hülya Güvenç, Sebile Çomçalı, Çiğdem Coşkun and Mehmet Numan AlpBackground Immune thrombocytopenic purpura (ITP) is a rare auto-antibody mediated disease of isolated thrombocytopenia (<100,000/µL) with normal haemoglobin levels and leukocyte counts. Only a small number of ITP cases have been reported with accompanying ophthalmological findings. Herein, we report an ITP case with demonstrative retinal haemorrhages. Case Presentation A fifty-five-year-old woman with a k Read More
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Internal Carotid Artery Dissecting Aneurysm Associated with Persistent Trigeminal Artery: A Case Report
Authors: Chunqing Bu, Xiaomin Liu, Yanfeng Zhang, Jun Chen and Jinshen WangBackground Persistent trigeminal artery (PTA) is the most common vascular anastomosis between the carotid artery and vertebrobasilar systems. We report a very rare case of dissecting aneurysm in the right internal carotid artery (ICA) with ipsilateral PTA and discuss its clinical importance. Case Report A 38-year-old male presented to the emergency department with paroxysmal dysphasia for 6h. Brain magnetic resonance ( Read More
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7 Tesla MRI Liver Fat Quantification in Mice: Data Quality Assessment
Purpose The objective of this study was to evaluate the robustness of proton density fat fraction (PDFF) data determined by magnetic resonance imaging (MRI) and spectroscopy (MRS) via spatially resolved error estimation. Materials and Methods Using standard T2* relaxation time measurement protocols, in-vivo and ex-vivo MRI data with water and fat nominally in phase or out of phase relative to each other were Read More
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A Systematic Review and Meta-Analysis of MRI Radiomics for Predicting Microvascular Invasion in Patients with Hepatocellular Carcinoma
Authors: Hai-ying Zhou, Jin-mei Cheng, Tian-wu Chen, Xiao-ming Zhang, Jing Ou, Jin-ming Cao and Hong-jun LiBackgroundThe prediction power of MRI radiomics for microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC) remains uncertain.ObjectiveTo investigate the prediction performance of MRI radiomics for MVI in HCC.MethodsOriginal studies focusing on preoperative prediction performance of MRI radiomics for MVI in HCC, were systematically searched from databases of PubMed, Embase, Web of Sci Read More
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Imaging Characteristics of Clear Cell Papillary Renal Cell Carcinoma: Identifying the Sheep in Wolf’s Clothing
Authors: Shunfa Huang, Qiying Tang, Minrong Wu, Lianting Zhong, Danlan Lian, Yuqin Ding and Jianjun ZhouObjective This study aimed to describe the characteristics of computed tomography (CT) and magnetic resonance imaging (MRI) of clear cell papillary renal cell carcinoma (CCPRCC). Methods This retrospective study comprised 27 patients diagnosed with 29 tumors of CCPRCC. The study was approved by the Medical Ethics Committee and the requirement for the informed consent was waived. The inclusion criteria stipulat Read More
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Enhanced CT Findings in a Case of Recurrent Pelvic Follicular Dendritic Cell Sarcoma
Authors: Wenhan Feng, Mingchuan Yu and Haibo LiIntroduction Follicular Dendritic Cell Sarcomas (FDCS)was first found in 1986; the specificity of the disease is its rarity, with an incidence of only 0.4%, numerous doctors for its lack of understanding, the accuracy of imaging diagnosis is not great, which is easy to delay the treatment. This article summarizes several characteristic imaging manifestations of FDCS to provide imaging physicians with an understanding of the im Read More
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nnUNet for Automatic Kidney and Cyst Segmentation in Autosomal Dominant Polycystic Kidney Disease
Authors: Chetana Krishnan, Emma Schmidt, Ezinwanne Onuoha, Michal Mrug, Carlos E. Cardenas and Harrison KimBackground Autosomal Dominant Polycystic Kidney Disease (ADPKD) is a genetic disorder that causes uncontrolled kidney cyst growth, leading to kidney volume enlargement and renal function loss over time. Total kidney volume (TKV) and cyst burdens have been used as prognostic imaging biomarkers for ADPKD. Objective This study aimed to evaluate nnUNet for automatic kidney and cyst segmentation in T2-weighted (T2W Read More
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Magnetic Resonance Imaging of Dural Sinus Malformation in a Fetus: A Case Report
Authors: Fangli Li, Hui Gao, Huashan Lin and Wei ZhangBackground Dural sinus malformation (DSM) is a rather rare congenital condition that can be encountered in the fetus and infants. The cause and etiology of DSM remain unclear. Obstetric ultrasound plays a key role in screening fetal brain malformations, and MRI is frequently used as a complementary method to confirm the diagnosis and provide more details. Objective Here, we present a fetus with DSM by multiple ima Read More
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Quantitative Perfusion Analysis of Contrast-enhanced Ultrasound Might Help Differentiate Benign and Malignant Solid Cystic Lesions of the Kidney: A Case Report and Literature Review
More LessBackground Mixed epithelial and stromal tumor of the kidney (MESTK) is a rare benign lesion that appears as a solid cystic renal lesion or complex renal cystic lesion on medical imaging. There are no definite imaging criteria for METSK diagnosis. Case Presentation We present a case of a solid cystic renal mass that was evaluated by contrast-enhanced ultrasound (CEUS) during an imaging workup. The patient underwent nephre Read More
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Functional Integration of the Subregions of the Primary Motor Cortex: The Impact of Handedness and Hemispheric Lateralization
More LessObjective Cytoarchitectonic mapping has revealed distinct subregions within Broadmann area 4 (BA 4) – BA 4a and BA 4p – with varying functional roles across tasks. We investigate their functional connectivity using resting-state functional magnetic resonance imaging (rsfMRI) to explore bilateral differences and the impact of handedness on connectivity within major brain networks. Methods This retrospective study involv Read More
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Automated Diagnosis of Bone Metastasis by Classifying Bone Scintigrams Using a Self-defined Deep Learning Model
Authors: Yubo Wang, Qiang Lin, Shaofang Zhao, Xianwu Zeng, Bowen Zheng, Yongchun Cao and Zhengxing ManBackground Patients with cancer can develop bone metastasis when a solid tumor invades the bone, which is the third most commonly affected site by metastatic cancer, after the lung and liver. The early detection of bone metastases is crucial for making appropriate treatment decisions and increasing survival rates. Deep learning, a mainstream branch of machine learning, has rapidly become an effective approach to analyzi Read More
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Motion-resolved 3D Pulmonary MRI Reconstruction using Sinusoidal Representation Networks
By Qing ZouBackground Deep learning reconstruction for free-breathing pulmonary MRI. Objective To propose a motion-resolved 3D pulmonary MRI reconstruction scheme using the sinusoidal representation network (SIREN). Methods The proposed scheme learns the registration maps using SIREN to register an averaging image to get the final reconstructions. The learning of the network relies only on the undersampled data Read More
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Machine Learning in Magnetic Resonance Images of Glioblastoma: A Review
Authors: Georgina Waldo-Benítez, Luis Carlos Padierna, Pablo Cerón and Modesto A. SosaBackground:The purpose of this work was to identify which Glioblastoma (GBM) problems can be handled by Magnetic Resonance Imaging (MRI) and Machine Learning (ML) techniques. Results, limitations, and trends through a review of the scientific literature in the last 5 years were performed. Google Scholar, PubMed, Elsevier databases, and forward and backward citations were used for searching articles applying Read More
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External Validation of Ultrasound Radiomics for Small (≤ 4 cm) Renal Mass Differentiation: A Comparison with Radiologists
Authors: Ming Liang, Licong Dong, Bing Ou, Xinbao Zhao, Jiayi Wu, Haolin Qiu, Mengting Ye and Baoming LuoBackground:Renal cell carcinoma, especially in small renal masses (≤ 4 cm) (SRM), has increased. Pathological analysis revealed a high proportion of benign masses, highlighting the urgent need for precise SRM differentiation.Objectives:This research aimed to independently validate the performance of machine learning-based ultrasound (US) radiomics analysis in differentiating benign from malignant SRM, and to compa Read More
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Implication of Bone Mineral Density and Body Composition Parameters for Length of Hospital Stay in Patients with COVID-19
Authors: Wenmin Guan, Tingting Zhang, Jing Sun, Xuan Wei, Wei Wei, Ying Yan, Lijun Song, Husheng Qian, Daning Wang, Meiqin Qiao, Guanghong Liu, Lu Ren, Zhenghan Yang, Yan Xu and Zhenchang WangBackground:Multisystem information, including musculoskeletal information, can be captured from chest CT scans of patients with COVID-19 without further examination.Aims:This study aims to assess the relationship between chest CT-extracted baseline bone mineral density (BMD) and body composition parameters and the length of hospital stay in these patients.Methods:A retrospective analysis was performed in a coh Read More
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Morphological Correlation between the Diameters of the Left Main Coronary Artery and its Branches Measured by QCA and Derived by Finet’s Law
More LessBackground Coronary artery diseases are the leading cause of death worldwide. Stenting or angioplasty of coronary arteries as interventional management requires knowledge about the morphology of the coronary tree, including luminal diameters. Objective This work aimed to study the diameters of the left main coronary artery and its branches measured by QCA in relation to the diameters derived by Finet’s law. Metho Read More
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