Gadolinium concentration dependent signal enhancement profiles using routine clinical sequences with gadopiclenol, gadoterate, gadobutrol, and gadoxetate at 1.5, 3 and 7 Tesla [0.03%]
不同剂量碘普聲、加德柳匹、钆布醇和 gadoteric acid 在 1.5T、3T 和 7T 上的磁共振成像临床序列中的对比度增强特征
Thomas Marth,Johannes M Froehlich,Daniel Nanz et al.
Thomas Marth et al.
Purpose: Gadopiclenol, a new gadolinium-(Gd) based contrast agent (GBCA), exhibits a higher longitudinal relaxivity (r1) than current standard GBCAs, and, thus, has the potential to be used at lower dose or to generate a ...
Preoperative focal breast edema on T2-weighted MRI as a predictor of sentinel lymph node metastasis in clinically node-negative T1-2 breast cancer: A retrospective bicentric study [0.03%]
T2加权MRI上术前乳腺局部水肿作为临床分期淋巴结阴性T1-2期乳腺癌患者转移的预测因素：一项回顾性的多中心研究
Tianwen Xie,Yan Huang,Qin Xiao et al.
Tianwen Xie et al.
Purpose: To investigate the predictive value of breast edema identified on preoperative T2-weighted MRI for sentinel lymph node (SLN) metastasis in patients with clinically node-negative (cN0) T1 and T2 stage invasive bre...
Cardiovascular magnetic resonance characteristics of focal takotsubo syndrome [0.03%]
孤立性应激性心肌病的心脏磁共振影像特点分析
Mirko T Lüftner,Alexander Isaak,Dmitrij Kravchenko et al.
Mirko T Lüftner et al.
Aims: Focal takotsubo syndrome (TTS) is rare, and limited data are available on its cardiovascular magnetic resonance (CMR) characteristics. We aimed to define CMR characteristics and disease patterns of focal TTS. ...
Impact of the use of deep-learning 3D camera on workflow and patient positioning in CT examinations [0.03%]
深度学习3D相机的使用对CT检查工作流程和患者体位的影响
Akio Ito,Yoshifumi Noda,Nobuyuki Kawai et al.
Akio Ito et al.
Purpose: This study aims to assess the impact of the use of deep-learning three-dimensional (3D) camera on workflow and patient positioning in CT examinations in comparison with manual positioning by radiographers. ...
Photon counting CT versus multi-slice CT for radiographic evaluation of postoperative cochlear implantation: Electrode characteristics and image-quality analysis [0.03%]
光子计数CT与多层螺旋CT术后人工耳蜗影像学评估中的电极特征及图像质量分析
Xu Tian,Yu Huang,Jiajing Tong et al.
Xu Tian et al.
Background and purpose: Cochlear implant surgery is a standard treatment for severe-to-profound hearing loss. Accurate postoperative assessment of cochlear electrode is crucial for patient outcomes. Photon-counting CT (PC...
Deep learning-based temporal muscle quantification on MRI predicts adverse outcomes in acute ischemic stroke [0.03%]
基于深度学习的MRI时相性肌肉量化在急性缺血性卒中的预后价值研究
Ruibin Huang,Jiawei Chen,Huanpeng Wang et al.
Ruibin Huang et al.
Purpose: To develop a deep learning (DL) pipeline for accurate slice selection, temporal muscle (TM) segmentation, TM thickness (TMT) and area (TMA) quantification, and assessment of the prognostic role of TMT and TMA in ...
Role of FAPI PET/CT in cancer of unknown primary (CUP): A systematic review [0.03%]
FAPI-PET/CT在未知原发癌(CUP)中的作用：系统性综述
Justine Maes,Frederik Cleeren,Karolien Goffin et al.
Justine Maes et al.
This systematic review analyzes the value of FAPI PET/CT in diagnosing cancer of unknown primary (CUP). CUP is a metastatic malignant disease in which the site of origin cannot be determined. It accounts for 3-5 % of all malignant neoplasms...
Prediction of histopathology in colon cancer by multidetector computed tomography stratified by tumour side and microsatellite status: A national register study [0.03%]
基于肿瘤位置和微卫星状态分层的多探测器CT预测结肠癌组织病理学：一项全国登记队列研究
Gaia Casarin,Silvia Fattori,Thomas Hasseriis Andersen et al.
Gaia Casarin et al.
Objective: Multidetector computed tomography (MDCT) is widely used for colon cancer staging, although it has known limitations. This study evaluates the accuracy of MDCT in predicting the T category, regional lymph node m...
Validation of artificial intelligence software for automatic calcium scoring in cardiac and chest computed tomography [0.03%]
心血管和胸部CT成像自动钙化积分人工智能软件的验证研究
I Iris Hamelink,Z Zhenhui Nie,T E J Thom Severijn et al.
I Iris Hamelink et al.
Objective: Coronary artery calcium scoring (CACS), i.e. quantification of Agatston (AS) or volume score (VS), can be time consuming. The aim of this study was to compare automated, artificial intelligence (AI)-based CACS ...
Predicting ADC map quality from T2-weighted MRI: A deep learning approach for early quality assessment to assist point-of-care [0.03%]
基于T2加权MRI预测ADC图质量：一种用于早期质量评估以协助即时医疗的深度学习方法
Jeffrey R Brender,Mitsuki Ota,Nathan Nguyen et al.
Jeffrey R Brender et al.
Purpose: Poor quality prostate MRI images compromise diagnostic accuracy, with diffusion-weighted imaging and the resulting apparent diffusion coefficient (ADC) maps being particularly vulnerable. These maps are critical ...