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Volume 20, Issue 1, 2024
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Validation of Renal Function using Multiphasic Ratios between Renal Cortex and Medulla in Kidney Recipients
Authors: Chao Wang, Yancheng Song, Zhibin Pan, Guoce Li, Lei Zhang, Hao Bian, Fenghai Liu and Xiaodong YuanObjective To verify the multiphase ratio of Computer Tomography-value between the renal cortex and renal medulla, which can be used to concisely evaluate renal function in kidney recipients. Methods Fifty-eight kidney recipients were retrospectively enrolled and divided into the Normal group (eGFR≥90 mL/min/1.73m2) and Abnormal group (eGFR<90 mL/min/1.73m2) according to Chronicle Kidney Disease Epide Read More
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Muscle CT Radiomics is Feasible in the Identification of Gout
Authors: Ye Zeng, Chunlin Xiang and Gang WuObjective The aim of this study was to investigate the feasibility of muscle CT radiomics in identifying gout. Materials and Methods A total of 30 gout patients and 20 non-gout cases with CT examinations of ankles were analyzed by using the methods of CT radiomics. CT radiomics features of the soleus muscle were extracted using the software of a 3D slicer, and then gout cases and non-gout cases were compared. The radiomics Read More
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Effects of Gadolinium Chelate Administration Timing on T2-weighted and Diffusion-weighted Abdominal MRI Examination: A Prospective Study
Authors: Su-Lan Jia, Hui Xu, Da-Wei Yang, A-Hong Ren and Zheng-Han YangBackground Magnetic Resonance Imaging (MRI) data acquisition includes several sequences that might be optimized to reduce the scan time. Objective This study aimed to investigate the impact of gadolinium chelate administration timing on scan duration and image quality in Diffusion-weighted Imaging (DWI) and T2-weighted Imaging (T2WI) during abdominal MRI examinations. Methods A prospective study was conduc Read More
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CvTMorph: Improving Local Feature Extraction in Medical Image Registration for Respiratory Motion Modeling with Convolutional Vision Transformer
Authors: Peizhi Chen, Xupeng Zou and Yifan GouBackground Accurately modeling respiratory motion in medical images is crucial for various applications, including radiation therapy planning. However, existing registration methods often struggle to extract local features effectively, limiting their performance. Objective In this paper, we aimed to propose a new framework called CvTMorph, which utilizes a Convolutional vision Transformer (CvT) and Convolutional Neural N Read More
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Multimodal Data-driven Segmentation of Bone Metastasis Lesions in SPECT Bone Scans using Deep Learning
Authors: Xiaoqiang Ma, Qiang Lin, Sihan Guo, Yang He, Xianwu Zeng, Yaqiong Song, Yongchun Cao, Zhengxing Man, Caihong Liu and Xiaodi HuangBackground Patients with malignant tumors often develop bone metastases. SPECT bone scintigraphy is an effective tool for surveying bone metastases due to its high sensitivity, low-cost equipment, and radiopharmaceutical. However, the low spatial resolution of SPECT scans significantly hinders manual analysis by nuclear medicine physicians. Deep learning, a promising technique for automated image analysi Read More
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A Case Report of Gastric Oral Contrast-enhanced Ultrasonography in the Diagnosis of Eosinophilic Gastroenteritis in Adults
Authors: Lanyan Qiu and Dong LiuIntroduction Eosinophilic gastroenteritis (EGE) is a rare immune-mediated chronic inflammatory disorder, which is classified into 3 types according to the affected gastric wall layer. The serosal-type EGE is the least common type. Gastric oral contrast-enhanced ultrasonography (OCEUS) may show some specific changes in the serosal-type EGE. Herein, we reported OCEUS findings in a serosal-type EGE case. Case Presentation Read More
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A Comprehensive Review of the Recent Advancements in Imaging Segmentation and Registration Techniques for Glioblastoma and Focusing on the Utilization of Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) Scans
Authors: Tasnim M. Alnawafleh, Yasmin Radzi, Marwan Alshipli, Ammar A. Oglat and Ahmad AlflahatThe most common primary malignant brain tumor is glioblastoma. Glioblastoma Multiforme (GBM) diagnosis is difficult. However, image segmentation and registration methods may simplify and automate Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) scan analysis. Medical practitioners and researchers can better identify and characterize glioblastoma tumors using this technology. Many se Read More
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Computer-aided Detection and Diagnosis of Cancer Regions in Mammogram Images using Resource-Efficient CNN Architecture
Authors: Helan Vidhya Thankaraj and Manikandan ThiyagarajanAim The automatic computer-assisted mammogram classification system is important for women patients to detect and diagnose the cancer regions. In this work, the mammogram images are classified into three cases: healthy, benign and cancer, using the proposed Resource Efficient Convolutional Neural Network (RECNN architecture). Methods The proposed mammogram image classification system consists of Data Read More
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Comprehensive Classification of the Capitellar Injury Concurrent with Radial Head Fracture
Authors: Huli Liu, Qianyun Xie, Yang Zhang, Ying Yang, Yan Jiang, Wen Tang and Sheng SongBackground Capitellar injury (CI) includes capitellar cartilage injury (CCI) and capitellar fracture (CF). A comprehensive classification of CI concurrent with radial head fracture (RHF) that can guide surgical strategy is lacking in the literature. Therefore, this study aimed to introduce a comprehensive classification of CI concurrent with RHF and investigate its value. Methods A total of 35 patients with CI concurrent with Read More
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Co-existing Mediastinal Venous Malformation and Fusiform Superior Vena Cava Aneurysm in a Patient with Ischemic Stroke: A Case Report and Review of Literature
Authors: Gwanghyun Kim, Lyo Min Kwon, Dong A Ye, Minwoo Lee, Young Soo Do and Kyung Sup SongBackground Mediastinal venous malformation (MVM) and fusiform superior vena cava aneurysm (F-SVCA) are both rare congenital vascular anomalies. Case Presentation A 46-year-old male presented with acute ischemic stroke of unknown etiology. Computed tomography (CT) angiography revealed the coexistence of MVM and F-SVCA. Diagnostic venography demonstrated a significant reduction in blood flow ve Read More
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A Case of Non-calcified Intrahepatic Primary Osteosarcoma: A Case Report and a Literature Review
Authors: Chongze Yang, Lan-hui Qin, Pei-yin Chen, Jia-qi Chen and Jin-yuan LiaoIntroduction Intrahepatic primary osteosarcoma is a rare disease with a very low incidence but a very poor prognosis. A total of 12 cases have been previously reported, and in most of these cases, intra-focal calcification was observed. This paper aims to report a case of non-calcified intrahepatic primary osteosarcoma. Case Description We hereby report a female patient with hepatitis B for 20 years, identified during Read More
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A Pelvic Digit as an Incidental Finding on Plain Radiography – A Case Report from Bulgaria
Authors: Pero Popeski, Bilyana Bogdanova, Svetla Dineva and Desislava Kostova-LefterovaIntroduction: “Pelvic rib”, “pelvic digit (finger)”, or “eleventh digit (finger)” is a rare congenital anomaly, in which a finger-like bony structure is present in the soft tissue in the pelvic or abdomen (less common) area. Case Presentation: This case report presents a symptomatic “pelvic digit” discovered in a patient referred to the radiology department after prolonged unilateral hip pain, especially during long walks. To our kno Read More
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Multi-disease X-ray Image Classification of the Chest Based on Global and Local Fusion Adaptive Networks
Authors: Yu Gu, Ru Shi, Shuaikang Yang, Lidong Yang, Baohua Zhang, Jing Wang, Xiaoqi Lu, Jianjun Li, Xin Liu, Ying Zhao, Dahua Yu, Siyuan Tang and Qun HeBackground Chest X-ray image classification for multiple diseases is an important research direction in the field of computer vision and medical image processing. It aims to utilize advanced image processing techniques and deep learning algorithms to automatically analyze and identify X-ray images, determining whether specific pathologies or structural abnormalities exist in the images. Objective We present the MMPDenseN Read More
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Glymphatic System Dysfunction in Congenital Sensorineural Hearing Loss: A DTI-ALPS Study
Authors: Li Sha, Zhen-Gui Xu and Yu-Chen ChenBackground The neural mechanisms underlying Congenital Sensorineural Hearing Loss (CSNHL) remain elusive. Objective This study evaluated the function of the glymphatic system in children with CSNHL compared to normal-hearing children using the DTI-ALPS approach, which utilizes diffusion tensor imaging along the perivascular space. Methods Twenty-six children with CSNHL and 30 age- and sex-matched Healthy C Read More
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Successful Treatment of a Patient with Hepatic Portal Vein Gas after Radiofrequency Ablation of Atrial Fibrillation: A Case Report
More LessBackground Transcatheter radiofrequency ablation is one of the main treatments for atrial fibrillation, but related complications of this surgery are uncommon. Case Presentation Here, we report a 70-year-old elderly male patient with atrial fibrillation who experienced severe abdominal pain early after undergoing radiofrequency ablation; related imaging examinations suggested that the patient had intestinal edema and thick Read More
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Dermatofibrosarcoma Protuberans MRI: A Preliminary Comparison of Different Sequences
Authors: Kangjie Xu, Ziyuan Li, Wei Li, Jianxing Qiu, Hang Li, Yurong Li and Rui PengObjective The purpose of this study was to compare the image quality of different MRI sequences regarding the presentation of Dermatofibrosarcoma Protuberans (DFSP). Materials and Methods We retrospectively collected MRI images of 40 patients who had been pathologically diagnosed with DFSP, including 21 primary tumors and 19 recurrent tumors. The image quality of different MRI sequences Read More
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Our Single Center Experience in Osteoid Osteoma Patients Treated with CT-Guided Percutaneous Radiofrequency Ablation Treatment and Follow-up
Authors: Fatih Düzgün, Hakan Koray Tosyalı and Serdar TarhanIntroduction: Osteoid osteoma (OO) is a painful benign bone tumor. Typically, it causes pain that is most noticeable during the night, which is improved by nonsteroidal anti-inflammatory drugs. In the treatment of symptomatic lesions, open surgery for nidus removal is the gold standard. However, surgical technical difficulties and morbidities vary by location. Percutaneous radiofrequency ablation (RFA) therapy guided by c Read More
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Optimizing Prostate Imaging Practices in Saudi Arabian Hospitals: A Comprehensive Analysis of PI-RADS Compliance in Multiparametric MRI
Background Prostate cancer, a significant contributor to male cancer mortality globally, demands improved diagnostic strategies. In Saudi Arabia, where the incidence is expected to double, this study assessed the compliance of multiparametric MRI (mpMRI) practices with Prostate Imaging-Reporting and Data System version 2 (PI-RADS v2) guidelines across diverse healthcare institutions. Methods A survey was distributed to Read More
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Influence of Seamless Patient-Centered Care on Efficiency, Satisfaction, and Patient Awareness in Imaging Departments: A Prospective Cohort Study
Authors: Shouzhen Yan, Xiaohua Luo, Qianzhi Xia, Shijie Luo and Feng XuAims This study aimed to enhance the existing nursing model in imaging departments by implementing a characteristic seamless nursing care approach and assessing its impact on patient and medical staff satisfaction, nursing quality, examination efficiency, and patient awareness. We hypothesized that the implementation of a seamless nursing care model would be associated with higher patient satisfaction, improved Read More
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Volumes & issues
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Volume 20 (2024)
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Volume 19 (2023)
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Volume 18 (2022)
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Volume 17 (2021)
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Volume 16 (2020)
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Volume 15 (2019)
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Volume 14 (2018)
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Volume 13 (2017)
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Volume 12 (2016)
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Volume 11 (2015)
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Volume 10 (2014)
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Volume 9 (2013)
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Volume 8 (2012)
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Volume 7 (2011)
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Volume 6 (2010)
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Volume 5 (2009)
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Volume 4 (2008)
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Volume 3 (2007)
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Volume 2 (2006)
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Volume 1 (2005)
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