Deep learning based multi-shot breast diffusion MRI: Improving imaging quality and reduced distortion [0.03%]
基于深度学习的多发射乳腺扩散MRI：提高图像质量和减少变形
Ning Chien,Yi-Hsuan Cho,Ming-Yang Wang et al.
Ning Chien et al.
Objective: To investigate the imaging performance of deep-learning reconstruction on multiplexed sensitivity encoding (MUSE DL) compared to single-shot diffusion-weighted imaging (SS-DWI) in the breast. ...
Potential values of uEXPLORER total-body PET/CT in nasopharyngeal carcinoma: dynamic imaging and kinetic parameters [0.03%]
uEXPLORER全身PET/CT在鼻咽癌中的潜在价值：动态显像及动力学参数分析
Ying-Ying Hu,Zhen-Chong Yang,Li-Ping Liang et al.
Ying-Ying Hu et al.
Objectives: To explore the dynamic imaging and kinetic parameters of total-body positron-emission tomography/computed tomography (TB-PET/CT) in nasopharyngeal carcinoma (NPC). ...
Fully automatic bile duct segmentation in magnetic resonance cholangiopancreatography for biliary surgery planning using deep learning [0.03%]
基于深度学习的磁共振胆道造影全自动胆管分割以进行胆道手术计划
Haisu Tao,Junfeng Wang,Kangwei Guo et al.
Haisu Tao et al.
Objectives: To automatically and accurately perform three-dimensional reconstruction of dilated and non-dilated bile ducts based on magnetic resonance cholangiopancreatography (MRCP) data, assisting in the formulation of ...
Measuring the impact of using 3D helical scout scans on overscan and radiation exposure [0.03%]
测量使用3D螺旋定位扫描对超范围扫描和辐射暴露的影响
Alice Gutowski,Dana Jackson,Daniel Carrion et al.
Alice Gutowski et al.
Objectives: Scout scans in CT imaging guide scan range selection but are limited by restricted exposure angles and poor anatomical visibility, potentially increasing patient dose or missing vital anatomy. Low-dose 3D heli...
Evaluation of diffusion-weighted imaging datasets for the assessment of disease activity in lymphoma patients [0.03%]
评估弥散加权成像数据集在淋巴瘤患者疾病活动性评估中的价值
Jennifer Haferkamp,Michal-Kamil Chodyla,Aydin Demircioglu et al.
Jennifer Haferkamp et al.
Purpose: To assess the clinical applicability of Diffusion Weighted Imaging (DWI) datasets as a radiation-free alternative to 18F-FDG PET for the evaluation of the vitality of lymphoma lesions. ...
Accelerating non-contrast MR angiography of the thoracic aorta using compressed SENSE with deep learning reconstruction [0.03%]
基于深度学习重建的压缩SENSE在非对比剂胸部主动脉MR血管造影中的应用
Jan P Janssen,Roman J Gertz,Juliana Tristram et al.
Jan P Janssen et al.
Purpose: REACT (Relaxation-Enhanced Angiography without ContrasT) is a reliable non-contrast magnetic resonance angiography for imaging of the thoracic aorta but remains time-consuming. This study evaluates acceleration o...
Synthetic MRI as a T2WI alternative in bp-MRI: comparable image quality and improved PI-RADS performance [0.03%]
合成MRI作为bp-MRI中T2WI的替代方法：图像质量和PI-RADS性能改善可比拟
You Yun,Jinxia Guo,Nannan Shao et al.
You Yun et al.
Objectives: Prostate cancer significantly impacts men's health, highlighting the necessity for precise diagnosis. This study evaluates combining Magnetic Resonance Image Compilation (MAGiC) parameters with Prostate Imagin...
Cerebral collateral cascade associated with infarct growth rate in ischemic stroke patients undergoing endovascular treatment [0.03%]
接受血管内治疗的缺血性卒中患者侧支循环与梗死体积增长速度相关性研究
Liping Huang,Hongfa Zhang,Wenze Li et al.
Liping Huang et al.
Background: Variability in infarct growth rate(IGR) is strongly associated with clinical outcomes in acute ischemic stroke(AIS) patients receiving endovascular treatment(EVT). Recently, the cerebral collateral cascade(CCC...
Chat GPT-4 shows high agreement in MRI protocol selection compared to board-certified neuroradiologists [0.03%]
与认证神经放射科医师相比，Chat GPT-4在MRI检查方案选择上表现出高度一致性
Zeynep Bendella,Barbara Daria Wichtmann,Ralf Clauberg et al.
Zeynep Bendella et al.
Objectives: The aim of this study was to determine whether ChatGPT-4 can correctly suggest MRI protocols and additional MRI sequences based on real-world Radiology Request Forms (RRFs) as well as to investigate the abilit...
Reference standard methodology in the clinical evaluation of AI chest X-ray algorithms for lung cancer detection: A systematic review [0.03%]
肺癌筛查人工智能胸部X线算法临床评价参考标准方法学系统综述
Sean F Duncan,Andrew C Kidd,Jesus Perdomo Lampignano et al.
Sean F Duncan et al.
Background: Lung cancer remains the leading cause of cancer death worldwide, with early diagnosis linked to improved survival. Artificial intelligence (AI) holds promise for augmenting radiologists' workflows in chest X-r...