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Current Medical Imaging - Online First
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41
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41 results
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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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YOLOv8 Algorithm-aided Detection of Rib Fracture on Multiplane Reconstruction Images
Authors: Shihong Liu, Wei Zhang and Gang WuAvailable online: 17 March 2025More LessObjective: This study aimed to develop and assess the performance of a YOLOv8 algorithm-aided detection model for identifying rib fractures on multiplane reconstruction (MPR) images, addressing the limitations of current AI models and the labor-intensive nature of manual diagnosis. Methods: Ethical approval was obtained, and a dataset comprising 624 MPR images, confirmed by CT, was collected from three regions 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 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 YeAvailable online: 17 March 2025More LessBackground: Muscle 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. Objective: This 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. 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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Significance and Predictive Value of Delphian Lymph Node in Papillary Thyroid Carcinoma
Authors: Yaqi Cui, Yimeng Li, Xinlu Yin and Jiadong WangAvailable online: 13 March 2025More LessBackground: Delphian 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. Methods: In the present study, the clinicopathologic features and metastatic risks were stati 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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A Comparison of the Diagnostic Value of Multiorgan Point-of-care Ultrasound between High-risk and Medium-to-low-risk Pulmonary Embolism Cases
Authors: Weihua Wu, Zhenfei Yu, Kang Cheng, Manqiong Xie, Shunjin Fang and Jianfeng ZhuAvailable online: 27 January 2025More LessObjective: This study aimed to explore the diagnostic value of multiorgan (heart, lungs, blood vessels) point-of-care ultrasound (PoCUS) in patients with high-risk and medium-to-low-risk pulmonary embolism (PE). Methods: Clinical data of 92 patients with suspected PE, admitted to Hangzhou TCM Hospital affiliated with Zhejiang Chinese Medical University from July 2021 to June 2023, were retrospectively analyzed. According t Read More
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CERVIXNET: An Efficient Approach for the Detection and Classifications of the Cervigram Images Using Modified Deep Learning Architecture
Authors: N. Karthikeyan, Gokul Chandrasekaran and S. SudhaAvailable online: 23 January 2025More LessIntroduction: The earlier detection of cervical cancer in women patients can save human life. This article proposes a novel methodology for detecting abnormal cervigram images from healthy cervigram images and segments the cancer regions in the abnormal cervigram images using the deep learning method. The conventional deep learning architecture has been modified into the proposed CervixNet architecture to i 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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Deep Learning-assisted Diagnosis of Extrahepatic Common Bile Duct Obstruction Using MRCP Imaging and Clinical Parameters
Authors: Do Kieu Trang Thoi, Jung Hyun Lim, Jin-Seok Park and Suhyun ParkAvailable online: 20 January 2025More LessBackground:Extrahepatic Common Bile Duct Obstruction (EHBDO) is a serious condition that requires accurate diagnosis for effective treatment. Magnetic Resonance Cholangiopancreatography (MRCP) is a widely used noninvasive imaging technique for visualizing bile ducts, but its interpretation can be complex.Objective:This study aimed to develop a deep learning-based classification model that integrates MRCP i 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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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 YeAvailable online: 14 January 2025More LessBackground: The malignant risk of cystic-solid thyroid nodules may be underestimated in the ultrasound assessment. Objective: This systematic review and meta-analysis aimed to evaluate the value of multimodal ultrasound characteristics in the malignant risk assessment of cystic-solid thyroid nodules. Methods: We conducted a comprehensive search of PubMed, Web of Science, and Cochrane Library databases for studi Read More
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Machine-Learning Based Computed Tomography Radiomics Nomgram For Predicting Perineural Invasion In Gastric Cancer
Authors: Pei Huang, Sheng Li, Zhikang Deng, Fangfang Hu, Di Jin, Situ Xiong and Bing FanAvailable online: 13 January 2025More LessObjective: The 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. Methods: This study included 205 GC patients, who were randomly divided into a training set (n=143) and a validation set (n=62 Read More
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Pneumocephalus and Pneumorrhachis Following Titanium Rib Implant: A Case Report and Literature Review
Authors: Yusuf Koksal and Sefer Burak AydinAvailable online: 13 January 2025More LessIntroduction: Pneumocephalus and pneumorrhachis are rare postoperative complications, commonly occurring within a few days to months after spinal surgery. They are very rarely reported after thoracic surgeries. This case highlights a unique presentation in the emergency department involving headache and vomiting caused by late complications following thoracic surgery with a titanium rib implant. Case Presentation: 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 ChenAvailable online: 09 January 2025More LessPurpose: This 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 Methods: A 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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Enhanced Pneumonia Detection in Chest X-Rays Using Hybrid Convolutional and Vision Transformer Networks
Authors: Benzorgat Mustapha, Yatong Zhou, Chunyan Shan and Zhitao XiaoAvailable online: 09 January 2025More LessObjective: The 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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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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Magnetic Resonance Imaging Study on Older Patients with Cognitive Impairment and Depression
Authors: Shuang Zhang, Yuping Qin, Meng Ding, Jining Yang and Tao ZhangAvailable online: 02 January 2025More LessBackground: Understanding brain changes in older patients with depression and their relationship with cognitive abilities may aid in the diagnosis of depression in this population. This study aimed to explore the association between brain lesions and cognitive performance in older patients with depression. Methods: We utilized magnetic resonance imaging data from a previous study, which included older adults with and without 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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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 LiuAvailable online: 02 January 2025More LessObjective: The study aimed to evaluate the clinical efficacy of CT-guided radiofrequency ablation in conjunction with targeted therapy in lung cancer patients. Methods: We 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 targe Read More
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Perforated Meckel's Diverticulum in an Adult that Resembles Acute Appendicitis: A Case Report and Review of the Literature
Authors: Noha Bakhsh and Mai BanjarAvailable online: 02 January 2025More LessBackground: Perforation is one of the rarest effects of Meckel's diverticulum and may clinically resemble acute appendicitis. Case Report: A 34-year-old woman with pain in the right iliac fossa, nausea, and vomiting for three days was brought to the emergency department. An abdominal examination indicated rebound tenderness in the area of the right iliac fossa. Abdominal ultrasound showed a heterogeneous lesion in t 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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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 LiAvailable online: 02 January 2025More LessObjective: Fibrosing 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 TB-related FM in patients with tuberculosis (TB). Additionally, the Read More
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Exploration of Cervical Cancer Image Processing and Detection Based on U-RCNNs
Authors: Cheng Cheng, Yi Yang and Youshan QuAvailable online: 02 January 2025More LessBackground: Cervical cancer is a prevalent malignancy among women, often asymptomatic in early stages, complicating detection. Objective: This study aims to investigate innovative techniques for early cervical cancer detection using a novel U-RCNNS model. Methods: Cervical epithelial cell images stained with hematoxylin and eosin (HE) were analyzed using the U-RCNNS model, which integrates U-Net for segmentation and 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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Challenges in Diagnosing Primary Intracranial Ewing Sarcoma/Peripheral Primitive Neuroectodermal Tumor: A Case Report
Authors: Shigang Luo, Feifei Wang, Huan Haung and GuangCai TangAvailable online: 02 January 2025More LessBackground: Primary intracranial Ewing Sarcoma/peripheral Primitive Neuroectodermal Tumor (EWS/pPNET) is exceedingly rare and easy to misdiagnose. Case Presentation: We present a case involving a 23-year-old male who presented with headaches and vomiting. The preoperative brain imaging revealed an irregular mass in the left parietal lobe, initially misdiagnosed as meningioma. However, the surgical specimen Read More
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Sound Touch Viscosity (STVi) for Thyroid Gland Evaluation in Healthy Individuals: A Pilot Study : STVi for Thyroid Gland Evaluation
Authors: Feng Mao, Yuemingming Jiang, Yunzhong Wang, Zhenbin Xu, Zhuo Wei, Xueli Zhu, Libin Chen and Shengmin ZhangAvailable online: 02 January 2025More LessObjective: This prospective study aimed to establish the typical viscosity range of the thyroid gland in healthy individuals using a new method called the Sound Touch Viscosity (STVi) technique with a linear array transducer. Methods: Seventy-eight healthy volunteers were enrolled between March, 2023 and April, 2023. Thyroid viscosity was measured using the Resona R9 ultrasound system equipped with a linear array transducer (L 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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Imaging Characteristics of Primary Mucinous Cystadenocarcinoma of the Breast: A Case Report and Literature Review
Authors: Yizhong Bian, Lei Xu, Yibo Zhou and Jizhen LiAvailable online: 02 January 2025More LessIntroduction: Mucinous Cystadenocarcinoma (MCA) of the breast remains a relatively rare condition, and to date, there is no systematic summary of its imaging manifestations. Therefore, this report presents a detailed account of the diagnosis and treatment of mucinous cystadenocarcinoma in a 40-year-old woman, with a particular focus on imaging findings. Additionally, we conducted a comprehensive literature review on thi Read More
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Clinical Features and Ultrasonographic Manifestations of Retroperitoneal Nerve Sheath Tumors
Authors: Xiaoqing Wang, Xiaoying Zhang, Rui Zhao, Yan Liu, Chaoyang Wen and Haining ZhengAvailable online: 02 January 2025More LessObjectives: Retroperitoneal nerve sheath tumors are uncommon, representing a small fraction of all primary retroperitoneal neoplasms. Accurate differentiation between benign and malignant forms is essential for optimal clinical management. This study assessed the clinical profiles and sonographic traits of retroperitoneal nerve sheath tumors with the goal of enhancing diagnostic precision and developing therapeutic str 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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Exploring the Prevalence and Coexistence of Metabolic Dysfunction-associated Steatotic Liver Disease in Type 2 Diabetes Mellitus Patients Using Ultrasound: A Cross-sectional Study
Available online: 02 January 2025More LessBackground: Type 2 diabetes Mellitus (T2DM) increases vulnerability to metabolic dysfunction-associated steatotic liver disease (MASLD). Therefore, this study aims to determine the prevalence and coexistence of MASLD in patients with T2DM using ultrasound. Methods: This cross-sectional retrospective study included 168 patients with T2DM from multiple diabetes clinics in Abha City, Asir region, recruited between August 2 Read More
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Breast Reconstruction Using Laparoscopically Harvested Pedicled Omental Flap: Imaging Findings and a Case of Recurrence Among Eight Patients
Authors: Jung Hee Byon, Soyeoun Lim, Kyoungkyg Bae and Minseo BangAvailable online: 02 January 2025More LessBackground: Laparoscopically Harvested Pedicled Omental Flap [LHPOF] has become a viable option for breast reconstruction due to advancements in minimally invasive techniques, offering benefits like reduced postoperative pain and minimal scarring. Case Presentation: This study examines the imaging findings in eight patients who underwent breast reconstruction using a LHPOF. Imaging modalities, including Read More
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A Retrospective Study of Ultrasound-guided Hydrodilatation of Glenohumeral Joint Combined with Corticosteroid Injection in Patients with Frozen Shoulder
Available online: 13 December 2024More LessObjective The purpose of this study was to establish the efficacy of ultrasound (US)-guided hydrodilatation of the glenohumeral joint, in conjunction with corticosteroid injection, in alleviating pain and improving shoulder joint adhesion among patients with primary frozen shoulder (FS). Background: FS, also known as adhesive capsulitis, is a pathological condition characterized by pain and potential functional impairment. Read More
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