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Volume 21, Issue 1, 2025
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Recurrence of Pleomorphic Adenoma in the Submandibular Gland: A Case Report and Literature Review
Authors: Zhiqiong Li, Guiying Yuan, Ye Zhang, Junbin Huang, Fan Xu, Yuchao Xiong and Xuwen ZengIntroductionRecurrent pleomorphic adenoma (PA) in the submandibular gland is a rare tumor that may be misdiagnosed as an inflammatory lesion. The imaging manifestations of the submandibular gland recurrent PA are unclear, with only three case reports reporting CT and MRI imaging, respectively. Our report is the first case report that comprehensively describes the imaging manifestations of recurrent PA in the subma Read More
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A Comparative Study on CT-guided Radiofrequency Ablation and Targeted Therapy: Intervention Efficacy and Survival Rates in Lung Cancer Patients
Authors: Tianyu Zhao, Chunjing Zhang, Hang Dai, Jingyu Li, Liguo Hao and Yanan LiuObjectiveThe study aimed to evaluate the clinical efficacy of CT-guided radiofrequency ablation in conjunction with targeted therapy in lung cancer patients.MethodsWe retrospectively analyzed 80 lung cancer patients. They were stratified into the Observation Group (OG; n=40, treated with CT-guided radiofrequency ablation in conjunction with targeted therapy) and the Control Group (CG; n=40, treated solely with targeted ther Read More
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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 ChenBackground 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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A Robust Approach to Early Glaucoma Identification from Retinal Fundus Images using Dirichlet-based Weighted Average Ensemble and Bayesian Optimization
Authors: Mohamed Mouhafid, Yatong Zhou, Chunyan Shan and Zhitao XiaoObjective Glaucoma is a leading cause of irreversible visual impairment and blindness worldwide, primarily linked to increased intraocular pressure (IOP). Early detection is essential to prevent further visual impairment, yet the manual diagnosis of retinal fundus images (RFIs) is both time-consuming and inefficient. Although automated methods for glaucoma detection (GD) exist, they often rely on individual models with ma Read More
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Intestinal Lipoma Acting as a Lead Point of Intussusception: A Case Series
Authors: Mei-Ying Jiang, Xiao-Yan Luo, Xiu-Qin Luo, Ai-fang Jin and Zhe-Huang LuoBackground Lipomas represent a rare benign etiology of intussusception in adults, affecting both the small intestine and the colon. Diagnosing intussusception in adults can be challenging, and there are no reports on the use of positron emission tomography/CT (PET/CT) in the diagnosis of lipoma-induced intussusception. This study aimed to preliminarily explore the potential diagnostic utility of 18F-FDG PET/CT in the diagno Read More
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Background Parenchymal Enhancement in Breast MRI Correlates with Molecular Subtypes of Breast Cancer
Authors: Hongyu Liu, Xinyue Chen, Yanna Wang, Xiaoping Yang and Yuxingzi ChenPurpose MRI could be considered as a non-destructive disease diagnosis procedure, this procedure does not allow directly molecular types of cancer. Herein, we aimed to evaluate the correlation of breast MRI background parenchymal enhancement (BPE) and fibroglandular tissue (FGT) with the molecular subtypes and immunohistochemical markers of breast cancer. Methods This was a single-cross-sectional retrospectiv Read More
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Post-mortem Cardiac MRI in Sudden Cardiac Death: The Interesting Intertwining of Radiology and Histology to Diagnose Arrhythmic Death or Myocardial Infarction
IntroductionAlthough the “conventional” autopsy is still considered the “gold standard” for the definition of the cause of death, an emerging interest in non-invasive cadaveric investigations is spreading. Among all these, the application of post-mortem magnetic resonance imaging of the heart is increasingly gaining ground in the study of sudden cardiac death.MethodsUsing the diffusion tensor imaging sequence, the pres Read More
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Renal Parenchymal Damage and Persistent Hematuria after D-J Insertion: A Report on Two Cases
More LessIntroduction/Background:In this case series, we present two male cases with renal parenchymal perforation without perirenal hematoma after D-J ureteral stent insertion, one with nutcracker renal vein syndrome. Our study provides new and important contributions to the field of science regarding what to consider during D-J stent insertion in similar cases and in patients with obstruction in the urinary collecting system for Read More
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Morphology and Distribution of Fat Globules in Osteomyelitis on Magnetic Resonance Imaging
Authors: Li-Yuan Xie, Lei Cao, Wen-Juan Wu, Ji-Cun Liu, Na Zhao, Yong-Li Zheng, Xiao-Na Zhu, Bu-Lang Gao and Gui-Fen HanIntroductionThe purpose of this study was to investigate the morphology and distribution characteristics of fat globules in osteomyelitis on magnetic resonance imaging (MRI).Materials and MethodsPatients with pathologically-confirmed osteomyelitis and MRI scans were retrospectively enrolled, and fat globules on the MRI images were analyzed.ResultsAmong 103 patients with non-traumatic osteomyelitis, 75 were fat globule neg Read More
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Significance and Predictive Value of Delphian Lymph Node in Papillary Thyroid Carcinoma
Authors: Yaqi Cui, Yimeng Li, Xinlu Yin and Jiadong WangBackgroundDelphian lymph node (DLN) metastasis is common in papillary thyroid cancer (PTC). However, few studies have specifically investigated the clinicopathologic characteristics of DLN metastasis in PTC. This study aimed to examine the incidence, risk factors, and predictive value of DLN in papillary thyroid carcinoma.MethodsIn the present study, the clinicopathologic features and metastatic risks were statistically analyze Read More
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Radiation-induced Lung Injury CT Features: Early Non-Small Cell Lung Cancer SBRT Prognosticators
Authors: Fang Wang, Lingling Wang, Hong Yang, Yujin Xu and Haitao JiangObjectiveThis study aimed to determine the relationship between Radiation-Induced Lung Injury (RILI) and the clinical outcome of Non-Small Cell Lung Cancer (NSCLC) following Stereotactic Ablative Radiotherapy (SABR).MethodsClinical data and follow-up CT scanning of 101 patients with early NSCLC who received SABR treatment from January 2012 to December 2018 were retrospectively collected, and the Progression Free Su Read More
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Preoperative CT-based Intratumoral and Peritumoral Radiomics Prediction for Vasculogenic Mimicry in Lung Adenocarcinoma
Authors: Shuhua Li, Yang Li, Ying Meng, Jingcheng Huang, Yihong Gu, Yan Song, Shuni Zhang, Zhiya Zhang, Weiming Zhao and Zongyu XieObjectiveThis study seeks to assess vasculogenic mimicry (VM) occurrence in lung adenocarcinoma (LUAD) by delineating intratumoral and peritumoral characteristics using preoperative CT-based radiomics and a nomogram for enhanced precision.Materials and MethodsOur retrospective analysis enrolled 150 LUAD patients, ascertained their VM status, and stratified them randomly into development (n=105) Read More
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Prediction of Cardiac Remodeling and/or Myocardial Fibrosis Based on Hemodynamic Parameters of Vena Cava in Athletes
Authors: Bin-yao Liu, Fan Zhang, Min-song Tang, Xing-yuan Kou, Qian Liu, Xin-rong Fan, Rui Li and Jing ChenPurposeThis study aimed to assess the hemodynamic changes in the vena cava and predict the likelihood of Cardiac Remodeling (CR) and Myocardial Fibrosis (MF) in athletes utilizing four-dimensional (4D) parameters.Materials and MethodsA total of 108 athletes and 29 healthy sedentary controls were prospectively recruited and underwent Cardiac Magnetic Resonance (CMR) scanning. The 4D flow parameters, i Read More
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Image Findings from Dual-phase Computed Tomography Pulmonary Angiography for Diagnosing Tuberculosis-associated Fibrosing Mediastinitis
Authors: Mengdi Zhang, Chao Bu, Kaiyu Jiang, Xiaozhou Long, Zhonghua Sun, Yunshan Cao and Yu LiObjectiveFibrosing mediastinitis (FM) is a rare and benign disease affecting the mediastinum and often causes pulmonary hypertension (PH). Timely diagnosis of PH caused by FM is clinically important to mitigate complications such as right heart failure in affected individuals. This retrospective study aimed to analyze the CT imaging characteristics of tuberculosis (TB) related FM in patients with (TB). Additionally, the study investi Read More
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Machine-learning based Computed Tomography Radiomics Nomogram for Predicting Perineural Invasion in Gastric Cancer
Authors: Pei Huang, Sheng Li, Zhikang Deng, Fangfang Hu, Di Jin, Situ Xiong and Bing FanObjectiveThe aim of this study was to develop and validate predictive models for perineural invasion (PNI) in gastric cancer (GC) using clinical factors and radiomics features derived from contrast-enhanced computed tomography (CE-CT) scans and to compare the performance of these models.MethodsThis study included 205 GC patients, who were randomly divided into a training set (n=143) and a validation set (n=62) i Read More
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A Machine Learning Model Based on Multi-Phase Contrast-enhanced CT for the Preoperative Prediction of the Muscle-Invasive Status of Bladder Cancer
Authors: Xucheng He, Yuqing Chen, Shanshan Zhou, Guisheng Wang, Rongrong Hua, Caihong Li, Yang Wang, Xiaoxia Chen and Ju YeBackgroundMuscle infiltration of bladder cancer has become the most important index to evaluate its prognosis. Machine learning is expected to accurately identify its muscle infiltration status on images.ObjectiveThis study aimed to establish and validate a machine learning prediction model based on multi-phase contrast-enhanced CT (MCECT) for preoperatively evaluating the muscle-invasive status of bladder cancer.Method Read More
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Demographic Characteristics of Pneumoconiosis Cases: A Single Centre Experience
Authors: Bilge Akgündüz and Sermin TokBackgroundPneumoconiosis is a preventable occupational lung disease that is caused by the inhalation of inorganic occupational dust. The disease can progress and result in functional impairment. Profusion scores are crucial for the assessment of disease severity.ObjectiveThis study aimed to determine the prevalence of pneumoconiosis cases with a profusion score of 0/1 and explore the correlation between pneumoconiosis a Read More
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Malignant Risk Assessment of Cystic-solid Thyroid Nodules Based on Multimodal Ultrasound Features: A Systematic Review and Meta-analysis
Authors: Rongwei Liu, Hua Chen, Jianming Song and Jun YeBackgroundThe malignant risk of cystic-solid thyroid nodules may be underestimated in the ultrasound assessment.ObjectiveThis systematic review and meta-analysis aimed to evaluate the value of multimodal ultrasound characteristics in the malignant risk assessment of cystic-solid thyroid nodules.MethodsWe conducted a comprehensive search of PubMed, Web of Science, and Cochrane Library databases for studies depicti Read More
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Enhanced Pneumonia Detection in Chest x-rays using Hybrid Convolutional and Vision Transformer Networks
Authors: Benzorgat Mustapha, Yatong Zhou, Chunyan Shan and Zhitao XiaoObjectiveThe objective of this research is to enhance pneumonia detection in chest X-rays by leveraging a novel hybrid deep learning model that combines Convolutional Neural Networks (CNNs) with modified Swin Transformer blocks. This study aims to significantly improve diagnostic accuracy, reduce misclassifications, and provide a robust, deployable solution for underdeveloped regions where access to conventional Read More
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A Novel Fragmentation-based Approach for Accurate Segmentation of Small-sized Brain Tumors in MRI Images
Authors: Mohd. Anjum, Sana Shahab, Shabir Ahmad and Taegkeun WhangboAims:In the dynamic landscape of healthcare, integrating Artificial Intelligence paradigms has become essential for sophisticated brain image analysis, especially in tumor detection. This research addresses the need for heightened learning precision in handling sensitive medical images by introducing the Fragmented Segment Detection Technique.Background:The ever-evolving healthcare landscape demands advanced met Read More
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Volumes & issues
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Volume 21 (2025)
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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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