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Current Medical Imaging - Online First
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18
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Evaluation of Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer through Shear-Wave Elastography
Authors: Qingfu Qian, Minling Zhuo, Yue Yu, Ensheng Xue, Xiaodong Lin and Zhikui ChenAvailable online: 17 March 2025More LessBackground: There remains a lack of methods to accurately assess the efficacy of neoadjuvant chemoradiotherapy for locally advanced rectal cancer. Objective: This study aimed to investigate the value of shear-wave elastography in evaluating the treatment response to neoadjuvant chemoradiotherapy for locally advanced rectal cancer. Materials and Methods: This prospective observational study enrolled 275 patient Read More
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Correlation between Liver fat Content Determined by Ultrasonic Attenuation Imaging and Lipid Metabolism in Patients with Non-Alcoholic Fatty Liver Disease
Authors: Yanhong Hao, Yanjing Zhang, Guolin Yin, Lei Zhang and Liping LiuAvailable online: 17 March 2025More LessObjective: This study aimed to investigate the utility of ultrasonic attenuation imaging (ATI) in assessing the relationship between hepatic fat content and lipid metabolism in patients diagnosed with type 2 diabetes mellitus (T2DM) and non-alcoholic fatty liver disease (NAFLD). Methods: 239 patients diagnosed with T2DM were included, with liver fat quantified using proton density fat fraction (PDFF). We analyzed the variance Read More
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Imaging Findings of Primary Squamous Cell Carcinoma of the Liver: Case Presentation and Literature Review
Authors: Yichuan Mao, Xiuzhen Yao, Gui Xu, Feng Yang, Xiangqun Zhou, Xiaoqin Wu, Weiqun Ao and Jun LinAvailable online: 17 March 2025More LessIntroduction: Primary Squamous Cell Carcinoma of the Liver (PSCCL) is an exceptionally rare clinical entity characterized by diagnostic challenges, aggressive behavior, and poor prognosis. Globally, few studies have investigated PSCCL. Case Presentation: We report the case of a 76-year-old male patient with PSCCL, detailing his clinical presentation and imaging findings, to offer insights into the preoperative diagnosis of this d Read More
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Primary Cardiac Angiosarcoma Diagnosed by Multimodality Imaging: A Case Report: Multimodality Imaging of Cardiac Angiosarcoma
Authors: Qin Zhang, Shuying Luo, Hua Ye, Tao Yang, Tijiang Zhang, Bangguo Li and Hong YuAvailable online: 17 March 2025More LessBackground: Primary cardiac tumors are rare. Most primary cardiac tumors are benign, with approximately 10.83% being malignant. We present a rare case of Primary Cardiac Angiosarcoma (PCA) with multiple metastases diagnosed using multimodality imaging, to enhance the understanding of PCA among clinicians and radiologists. Case Description: A 29-year-old woman presented to our hospital with a 2-day history of chest Read More
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Fetal Diagnostics using Vision Transformer for Enhanced Health and Severity Prediction in Ultrasound Imaging
Authors: Eshika Jain, Pratham Kaushik, Vinay Kukreja, Sakshi, Ayush Dogra and Bhawna GoyalAvailable online: 17 March 2025More LessAim: This research aims to develop and evaluate a novel health classification and severity detection system based on Vision Transformers (ViTs) for fetal ultrasound imagery. This contributes to improved precision in fetal health status detection and abnormalities with more accurate results than other traditional models. Background: Amidst the other imperatives of resource-deficient developing nations, mitigating neonatal mortal Read More
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A Case of Bronchogenic Cyst Detected by Ultrasound
Authors: Lei Zhang, Dong-hui Ji and Kuo-peng LiangAvailable online: 14 March 2025More LessBackground: Bronchogenic cysts are congenital cystic anomalies of the bronchus that originate from abnormal development of the bronchial tree during the embryonic period. Their common manifestation is a space-occupying lesion in the lungs or mediastinum. Common imaging modalities for detecting bronchogenic cysts include chest X-ray and chest computed tomography (CT) scans. Case Presentation: A 24-year-old fem Read More
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Differentiation of Minute Pulmonary Meningothelial-Like Nodules and Adenocarcinoma In situ with CT Radiomics
Authors: Yawen Zhang, Leilei Zhou, Jun Yao, Hai Xu, Yu-Chen Chen and Xiaomin YongAvailable online: 14 March 2025More LessBackground: An effective preoperative diagnosis between minute pulmonary meningothelial-like nodules (MPMNs) and adenocarcinoma in situ (AIS) can provide clinicians with appropriate treatment strategies. Objective: This study aimed to differentiate MPMNs from AIS via computed tomography (CT) radiomics approaches. Methods: Clinical and imaging data from fifty-one patients diagnosed with MPMNs and 55 patie Read More
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Clinical Evaluation of ODIS-1 Orthodontic Operation and Image Quality of Digital Imaging System
Authors: Yuanli Zhang, Hong Huang, Chongzhi Yin, Guizhi Zhang, Yang Wang, Rui Gao and Jinlin SongAvailable online: 11 March 2025More LessBackground: With the rapid development of computer technology, the application of digital technology to the display and processing of medical images has become a common concern. In recent years, oral digital imaging technology has received more and more attention. Objective: This paper mainly aims at the ODIS-1 oral digital imaging system to analyze and study the image quality and image aims at the ODIS-1 oral d Read More
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Sonographic Features of Juvenile Fibroadenoma in Children-a Retrospective Study
Authors: Jian Shi, Luzeng Chen, Jingming Ye, Shuang Zhang, Hong Zhang, Yuhong Shao and Xiuming SunAvailable online: 27 January 2025More LessAims: Studies specifically examining the sonographic features of juvenile fibroadenoma in the pediatric population have not been documented. We aimed to analyze sonograms of juvenile fibroadenoma in children. Subjects and Methods: Patients aged ≤ 18 years who underwent breast ultrasound examinations at our department and had pathologically proven juvenile fibroadenoma from September 2002 to January 202 Read More
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Personalized Respiratory Motion Modeling Incorporating Longitudinal Data through Two-stage Transfer Learning
Authors: Peizhi Chen, Xupeng Zou and Yifan GuoAvailable online: 21 January 2025More LessPurpose: This study aims to develop an accurate image registration framework for personalized respiratory motion modeling. Methods: The proposed framework incorporates longitudinal data through a two-stage transfer learning approach. In the first stage, transfer learning is employed on longitudinal data collected from the same device. In the second stage, a personalized model is constructed using the trans Read More
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White Matter Fiber Bundle Alterations Correlate with Gait and Cognitive Impairments in Parkinson’s Disease based on HARDI Data
Authors: Lining Dong, Mingkai Zhang, Zheng Wang, Ying Yan, Ran An, Zhenchang Wang and Xuan WeiAvailable online: 14 January 2025More LessBackground: The neuroanatomical basis of white matter fiber tracts in gait impairments in individuals suffering from Parkinson’s Disease (PD) is unclear. Methods: Twenty-four individuals living with PD and 29 Healthy Controls (HCs) were included. For each participant, two-shell High Angular Resolution Diffusion Imaging (HARDI) and high-resolution 3D structural images were acquired using the 3T MRI. Diffusion-weighted data Read More
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The Value of Using Quantitative MRI based on Synthetic Acquisition and Apparent Diffusion Coefficient to Monitor Multiple Sclerosis Lesion Activity
Authors: Abdullah H. Abujamea, Fahad B. Albadr and Arwa M. AsiriAvailable online: 09 January 2025More LessBackground: Multiple sclerosis (MS) is one of the most common disabling central nervous system diseases affecting young adults. Magnetic resonance imaging (MRI) is an essential tool for diagnosing and following up multiple sclerosis. Over the years, many MRI techniques have been developed to improve the sensitivity of MS disease detection. In recent years synthetic MRI (sMRI) and quantitative MRI (qMRI) have gain Read More
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Lightweight Lung-nodule Detection Model Combined with Multidimensional Attention Convolution
Authors: He-He Huang, Yuetao Zhao, Sen-Yu Wei, Chen Zhao, Yu Shi, Yuan Li, Weijia Huang, Yifei Yang and Jianhua XuAvailable online: 02 January 2025More LessBackground: Early and timely detection of pulmonary nodules and initiation treatment can substantially improve the survival rate of lung carcinoma. However, current detection methods based on convolutional neural networks (CNNs) cannot easily detect pulmonary nodules owing to low detection accuracy and the difficulty in detecting small-sized pulmonary nodules; meanwhile, more accurate CNN-based models are Read More
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Intracranial Structural Malformations in Children in Tibet: CT and MRI Findings in a Single Tertiary Center
Authors: Xuan Yin, Dawa Ciren, Ciren Guojie, Guofu Zhang, Jimei Wang and He ZhangAvailable online: 02 January 2025More LessObjectives: The objective of this study was to summarize the findings of children’s intracranial congenital or developmental malformations found during imaging procedures in the Tibetan plateau. Methods: We retrospectively reviewed the imaging data of the suspected patients who presented with the central nervous system (CNS) malformations and were enrolled either through the clinic or after ultrasound examinations betw Read More
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FedPneu: Federated Learning for Pneumonia Detection across Multiclient Cross-Silo Healthcare Datasets
Authors: Shagun Sharma, Kalpna Guleria and Ayush DograAvailable online: 02 January 2025More LessBackground: Pneumonia is an acute respiratory infection that has emerged as the predominant catalyst for escalating mortality rates worldwide. In the pursuit of the prevention and prediction of pneumonia, this work employs the development of an advanced deep-learning model by using a federated learning framework. The deep learning models rely on the utilization of a centralized system for disease prediction on the me Read More
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Advanced CNN Architecture for Brain Tumor Segmentation and Classification using BraTS-GOAT 2024 Dataset
Authors: Vaidehi Satushe, Vibha Vyas, Shilpa Metkar and Davinder Paul SinghAvailable online: 02 January 2025More LessBackground: The BraTS Generalizability Across Tumors (BraTS-GoAT) initiative addresses the critical need for robust and generalizable models in brain tumor segmentation. Despite advancements in automated segmentation techniques, the variability in tumor characteristics and imaging modalities across clinical settings presents a significant challenge. Objective: This study aims to develop an advanced CNN-based model Read More
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Displaced Femoral Neck Fractures Treated with Percutaneous Compression Plates in Elderly Individuals: An Effect Analysis Based on Imaging
Authors: Huli Liu, Kai Zhao, Ying Yang, Liansheng Dai, Sanjun Gu, Haifeng Li and Yu LiuAvailable online: 02 January 2025More LessBackground: The effects of percutaneous compression plate (PCP) internal fixation for femoral neck fractures (FNFs) in elderly individuals have rarely been reported. Therefore, this study aimed to investigate the efficacy of PCCP internal fixation for displaced FNFs in elderly individuals based on imaging. Methods: The clinical data of 32 elderly patients with FNFs treated with PCCP from January 2015 to December 2022 were re Read More
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Enhanced Detection of Colon Diseases via a Fused Deep Learning Model with an Auxiliary Fusion Layer and Residual Blocks on Endoscopic Images
Authors: Rakesh Kumar, Vatsala Anand, Sheifali Gupta, Ahmad Almogren, Salil Bharany, Ayman Altameem and Ateeq Ur RehmanAvailable online: 02 January 2025More LessBackground: Colon diseases are major global health issues that often require early detection and correct diagnosis to be effectively treated. Deep learning approaches and recent developments in medical imaging have demonstrated promise in increasing diagnostic accuracy. Objective: This work suggests that a Convolutional Neural Network (CNN) model paired with other models can detect different gastrointestinal (GI) abno Read More
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