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- Volume 20, Issue 1, 2024
Current Medical Imaging - Volume 20, Issue 1, 2024
Volume 20, Issue 1, 2024
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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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