Reduced environmental impact in body CT imaging with deep learning reconstruction: experience of a high-volume tertiary referral center [0.03%]
基于深度学习图像重建降低体部CT环境影响的单中心经验研究
Paolo Niccolò Franco,Cesare Maino,Davide Gandola et al.
Paolo Niccolò Franco et al.
Purpose: To evaluate the environmental impact associated with CT scanners equipped with deep-learning-based image reconstruction (DLIR) compared with scanners equipped with hybrid-iterative reconstruction (HIR), focusing ...
A perioperative multi-modal fusion and deep learning-based prognostic system for upper tract urothelial carcinoma: a multi-institutional study [0.03%]
基于术前多模式影像组学与深度学习的上尿路尿路上皮癌预后系统的一项多中心研究
Xiang Peng,Yang Li,Wei Shi et al.
Xiang Peng et al.
Objectives: Precise perioperative risk stratification for upper tract urothelial carcinoma (UTUC) is essential. We developed a multimodal prognostic model integrating perioperative clinical data, radiomics, and deep learn...
The clinicoradiological and pathological-molecular characteristics associated with spread through air spaces in stage IA invasive lung adenocarcinoma [0.03%]
伴随肺内扩散的IA期肺癌的临床影像学及病理分子特征
Feng Xu,Xian Li,Wei-Hua Zhao et al.
Feng Xu et al.
Objectives: To investigate the clinicoradiological and pathological-molecular characteristics associated with spread through air spaces (STAS) in stage IA invasive lung adenocarcinoma (ILADC). ...
Four-dimensional flow MRI for identifying high-risk esophageal varices: a comparison and combination with spleen volume and splenic extracellular volume fraction [0.03%]
四种流体磁共振成像识别高危食管静脉曲张的价值及其与脾脏体积和脾脏细胞外容量分数的比较和联合应用
Xiaohuan Li,Yuhan Zhang,Zhiyuan Chen et al.
Xiaohuan Li et al.
Objectives: To evaluate the diagnostic performance of four-dimensional flow MRI alone and in combination with spleen volume and splenic extracellular volume fraction (ECV) for identifying high-risk esophageal variceal (HR...
A review of radiological characteristics and patterns of fat necrosis after different autologous breast surgery techniques [0.03%]
不同自体乳腺手术后脂肪坏死的放射学特征和模式综述
Nieke N P M Smeins,Zoë M A Kuijlaars,Silvia Pérez Rodrigo et al.
Nieke N P M Smeins et al.
Background: The aim of this systematic review was to compare the radiological characteristics of fat necrosis distribution and morphology of tissue flaps versus autologous fat transfer (AFT) on ultrasound (US), mammograph...
CT-based vascular invasion in pancreatic ductal adenocarcinoma compared with intraoperative and histological findings [0.03%]
基于CT的血管侵犯与胰腺导管腺癌的术中和组织学发现相比
Gala Nacul Mora,Andreas Andreou,Ziad Maksoud et al.
Gala Nacul Mora et al.
Purpose: To assess the concordance of CT-based radiological, surgical, and histopathological determination of vascular invasion in pancreatic ductal adenocarcinoma (PDAC). ...
Clinical relevance and governance of scout imaging data: a national survey of UK cross-sectional imaging radiographers [0.03%]
英国UK断层扫描影像技师的定位影像数据的临床相关性和管理情况的全国调查结果分析报告
Theophilus N Akudjedu,Julianna M Hapi,Wisdom S Mensah et al.
Theophilus N Akudjedu et al.
Objectives: To examine the presence and content of standard policies and protocols for managing scout imaging data from cross-sectional imaging in the UK, including storage practices and required actions when clinical abn...
Lobar-level radiomic clustering reveals background lung changes associated with lung cancer risk: a new perspective for early screening [0.03%]
基于亚叶级的影像组学聚类揭示了与肺癌风险相关肺背景野改变：早筛新视角
Yihuan Wang,Chen Zhu,Zhenzhen Lu et al.
Yihuan Wang et al.
Background: The concept of field cancerization highlights spatially diffuse, pre-malignant changes in carcinogen-exposed lung tissue, yet current screening rarely captures such effects regionally. This exploratory study a...
Dual-energy CT pulmonary angiography using dual-flow mixture bolus tracking: potential for contrast medium and radiation exposure reduction [0.03%]
基于双重灌注流混合法的双能量CT肺动脉造影降低对比剂与辐射剂量的潜能研究
Mingjue Jian,Lisheng Huang,Chenxi Zhang et al.
Mingjue Jian et al.
Objectives: To assess the feasibility and image quality of a bolus tracking protocol with dual-flow mixture for contrast medium volume and radiation dose reduction in dual-energy CT pulmonary angiography (CTPA). ...
Deep learning-based CT slice synthesis improves radiomic feature reproducibility and discriminative performance in lung nodule assessment [0.03%]
基于深度学习的CT图像合成提高肺结节影像组学特征的重复性及鉴别能力
Hujun Yang,Zhengping Zhang,Lei Tian et al.
Hujun Yang et al.
Objectives: To investigate the effect of CT slice thickness on radiomic features (RFs) in terms of reproducibility and discriminative power, and to assess whether a deep learning-based CT slice synthesis (DLS) algorithm c...