Application Value of Intelligent Quick Magnetic Resonance in Accelerating Brain MR Scanning Speed and Improving Image Quality for Acute Ischemic Stroke [0.03%]
智能快速磁共振在加速急性缺血性卒中脑MR扫描速度及提高图像质量中的应用价值
Bo Xue,Dengjie Duan,Junbang Feng et al.
Bo Xue et al.
Introduction: This study aimed to evaluate the effectiveness of intelligent quick magnetic resonance (IQMR) for accelerating brain MRI scanning and improving image quality in patients with acute ischemic stroke. ...
Sonographic and Clinicopathological Characterization of Struma Ovarii: A Retrospective Analysis for Enhanced Preoperative Diagnosis [0.03%]
卵巢畸胎瘤的超声与临床病理特征分析及术前诊断价值探讨
Jianlin Cao,Zhaowei Meng,Cuimei Li
Jianlin Cao
Introduction: Struma ovarii (SO) is a rare ovarian teratoma composed predominantly of thyroid tissue, often misdiagnosed due to its non-specific clinical manifestations and low prevalence. ...
Identification of PD-L1 Expression in Resectable NSCLC using Interpretable Machine Learning Model Based on Spectral CT [0.03%]
基于光谱CT的可解释机器学习模型在可手术NSCLC患者PD-L1表达识别中的应用研究
Henan Lou,Shiyu Cui,Yinying Dong et al.
Henan Lou et al.
Introduction: This study aimed to explore the value of a machine learning model based on spectral computed tomography (CT) for predicting the programmed death ligand-1 (PD-L1) expression in resectable non-small cell lung ...
Imaging of Carotid Blowout Syndrome in a Patient with Nasopharyngeal Carcinoma After Radiation Therapy [0.03%]
放射治疗后鼻咽癌患者的颈动脉体征影像学检查结果显示异常
Yuanling Yang,Xinting Peng,Weiyi Liu et al.
Yuanling Yang et al.
Introduction: This case highlights the rare but life-threatening complication of carotid blowout syndrome (CBS) after radiotherapy for nasopharyngeal carcinoma (NPC). It is characterized by rupture of the carotid artery, ...
Cytotoxic Lesions of the Corpus Callosum (CLOCC) in Siblings: A Case Report [0.03%]
胼胝体细胞毒性病变(CLOCC)的同胞姐妹病例报告
Qihong Chen,Jinqi Huang,Jianfang Huang
Qihong Chen
Introduction/background: Cytotoxic lesions of the corpus callosum (CLOCC) are a rare clinical-radiological syndrome, and cases occurring consecutively in siblings are exceptionally uncommon. This study reports two pediatr...
Prevalence and Determinants of the Pool Sign in Lung Cancer Patients with Brain Metastasis [0.03%]
伴有脑转移的肺癌患者的“池征”发生率及影响因素分析
Ying Long,Zhao-Ping Chen,Lin-Hui Wang et al.
Ying Long et al.
Purpose: The pool sign, an emerging MRI biomarker for differentiating brain metastases (BM) from primary neoplasms, is primarily documented in case reports. Systematic data on its prevalence and determinants in BM among p...
MRI Evaluation of Fetoscopic Endoluminal Tracheal Occlusion for an Isolated Left Congenital Diaphragmatic Hernia and Clinical Outcomes of Neonates after Delivery: Five Case Reports and Literature Review [0.03%]
磁共振评估胎儿镜下气管闭塞术治疗孤立性左侧先天性膈疝的疗效及新生儿预后：5例报告和文献回顾
Wei Tang,Yan Zhou,Wei Tian et al.
Wei Tang et al.
Introduction: Prenatal intervention with fetoscopic endoluminal tracheal occlusion (FETO) using a balloon can stimulate lung growth and improve neonatal survival for moderate and severe congenital diaphragmatic hernia (CD...
Federated Deep Learning Approaches for Detecting Ocular Diseases in Medical Imaging: A Systematic Review [0.03%]
面向医学图像眼疾检测的联 fed学习方法综述
Seema Gulati,Kalpna Guleria,Nitin Goyal et al.
Seema Gulati et al.
Introduction: Artificial intelligence has significantly enhanced disease diagnosis in healthcare, particularly through Deep Learning (DL) and Federated Learning (FL) approaches. These technologies have shown promise in de...
Quantitative MR Imaging Marker: Effective Cross-Sectional Area of the Rotator Cuff and Its Correlation with the Biodex Isokinetic Test [0.03%]
定量MR影像标志物：肩袖的有效横截面积及其与等速肌力测试的相关性研究
Kyu-Chong Lee,Woong Kyo Jeong,Kyung-Sik Ahn et al.
Kyu-Chong Lee et al.
Objective: To evaluate the correlation between the effective cross-sectional area (eCSA) of the Rotator Cuff muscle measured using Dixon MRI and the outcomes of the Biodex Isokinetic Test. ...
A Comparative Study of Consistency on 1.5-T to 3.0-T Magnetic Resonance Imaging Conversion [0.03%]
从1.5T到3.0T磁共振成像的连贯性对比研究
Jie Li,Yujie Zhang,Jingang Chen et al.
Jie Li et al.
Purposes: Deep learning methods were employed to perform harmonization analysis on whole-brain scans obtained from 1.5-T and 3.0-T scanners, aiming to increase comparability between different magnetic resonance imaging (M...