Incident fractures of the distal radius: Dual-energy CT-derived metrics for opportunistic risk stratification [0.03%]
远端桡骨创伤性骨折：使用双能量CT进行机会性危险分层的计量研究
Leon D Gruenewald,Christian Booz,Jennifer Gotta et al.
Leon D Gruenewald et al.
Background: Dual-energy CT (DECT)-derived bone mineral density (BMD) of the distal radius and other CT-derived metrics related to bone health have been suggested for opportunistic osteoporosis screening and risk evaluatio...
CT-derived fractional flow reserve in intracranial arterial stenosis: A pilot study based on computational fluid dynamics [0.03%]
基于计算流体动力学的颅内动脉狭窄的CT衍生分数血流_reserve：一项初步研究
Zhuhao Yin,Changsheng Zhou,Jian Guo et al.
Zhuhao Yin et al.
Background: CT-derived fractional flow reserve (CT-FFR) has been widely applied in coronary hemodynamic assessment. However, the feasieablity and standardization measurement in intracranial artery stenosis (ICAS) remains ...
The value of dual-layer spectral detector CT in preoperative T staging of laryngeal and hypopharyngeal squamous cell carcinoma [0.03%]
双层光谱探测器CT对喉及下咽鳞癌T分期术前评估的价值
Ting Zheng,Yan Xiao,Fan Yang et al.
Ting Zheng et al.
Purpose: To explore the optimal kiloelectron voltage (keV) of virtual monochromatic images (VMIs) of dual-layer spectral detector computed tomography (DLSCT) to display laryngeal and hypopharyngeal squamous cell carcinoma...
Towards safer imaging: A comparative study of deep learning-based denoising and iterative reconstruction in intraindividual low-dose CT scans using an in-vivo large animal model [0.03%]
更安全的成像方法：使用体内大型动物模型在个体低剂量CT扫描中基于深度学习的去噪和迭代重建的比较研究
Jonas Mück,Elisa Reiter,Wilfried Klingert et al.
Jonas Mück et al.
Purpose: Computed tomography (CT) scans are a significant source of medically induced radiation exposure. Novel deep learning-based denoising (DLD) algorithms have been shown to enable diagnostic image quality at lower ra...
Artificial intelligence-assisted diagnosis of congenital heart disease and associated pulmonary arterial hypertension from chest radiographs: A multi-reader multi-case study [0.03%]
人工智能辅助从胸部X光片诊断先天性心脏病及其相关的肺动脉高压：一个多读者多病例研究
Pei-Lun Han,Lei Jiang,Jun-Long Cheng et al.
Pei-Lun Han et al.
Objectives: To explore the possibility of automatic diagnosis of congenital heart disease (CHD) and pulmonary arterial hypertension associated with CHD (PAH-CHD) from chest radiographs using artificial intelligence (AI) t...
Prospective evaluation of MR-TRG (Tumor Regression Grade) in esophageal cancer after neo-adjuvant therapy: Preliminary results [0.03%]
新辅助治疗后食管癌MR-TRG(肿瘤退缩等级)的前瞻性评估:初步结果
Pauline Chapellier,François Fasquelle,Chiara Saglietti et al.
Pauline Chapellier et al.
Purpose: To develop MRI-based criteria to assess tumor response to neoadjuvant therapies (NAT) of esophageal cancers (EC) and to evaluate its diagnostic performance in predicting the pathological Tumor Regression Grade (p...
Comparing extracellular volume fraction with apparent diffusion coefficient for the characterization of breast tumors [0.03%]
乳腺肿瘤表征中细胞外体积分数与表观扩散系数的比较研究
Xiaoxia Wang,Lihong Du,Ying Cao et al.
Xiaoxia Wang et al.
Purpose: To investigate the feasibility of dual-energy CT (DECT)-derived extracellular volume (ECV) fraction for characterization of breast tumors, compared to apparent diffusion coefficient (ADC) and validated against hi...
Corrigendum to "Effect of visceral fat area on the accuracy of preoperative CT-N staging of colorectal cancer" [Eur. J. Radiol. 168 (2023) 111131] [0.03%]
对“内脏脂肪面积对结肠癌术前CT-N分期准确性的影响”[Eur. J. Radiol. 168 (2023) 111131]的更正
Meizhen Xie,Gangyi Liu,Yan Dong et al.
Meizhen Xie et al.
Published Erratum
European journal of radiology. 2024 Jan:170:111253. DOI:10.1016/j.ejrad.2023.111253 2024
Can the use of whole-body CT be reduced in cases of kinetic-based polytrauma patients without a clinical severity criterion? A bi-center retrospective study [0.03%]
在没有临床严重标准的情况下能否减少动能多发伤患者的全身CT检查？一个两项中心的回顾性研究
Robin Naccache,Ugo Scemama,Ahmed-Ali El Ahmadi et al.
Robin Naccache et al.
Objective: To identify clinical and biological criteria predictive of significant traumatic injury in only kinetic-based polytrauma patients without clinical severity criteria. To propose a decisional algorithm to assist ...
Magnetic susceptibility and R2*-based texture analysis for evaluating liver fibrosis in chronic liver disease [0.03%]
磁敏感和R2 * -基于纹理分析评估慢性肝病的肝纤维化
Ran Guo,Haodong Zhong,Feng Xing et al.
Ran Guo et al.
Purpose: To explore potential feasibility of texture features in magnetic susceptibility and R2* maps for evaluating liver fibrosis. Methods: ...