Education and training in low-dose CT lung cancer screening across Europe: a survey study [0.03%]
欧洲低剂量CT肺癌筛查的教育和培训：一项调查研究
Rebecca Mura,Pamela Zolda,Roberta Eufrasia Ledda et al.
Rebecca Mura et al.
Objectives: To explore the status of low-dose CT lung cancer screening (LCS) training practices, identify existing gaps, and define key competencies to be included in LCS educational curricula. ...
Standardising infection control in CT intravenous contrast practice: an eDelphi study [0.03%]
计算机断层扫描静脉内使用含碘造影剂实践中的感染控制标准化：一项e德尔菲研究
Suzanne Hill,Yobelli Alexandra Jimenez,Sarah Lewis et al.
Suzanne Hill et al.
Objectives: Develop consensus-based recommendations for infection, prevention and control (IPC) practices in CT regarding (1) guiding principles for Intravenous (IV) Contrast training and compliance and (2) best practices...
Multi-component radiological model based on intratumoral CT threshold segmentation for predicting visceral pleural invasion in lung adenocarcinoma ≤ 30 mm [0.03%]
基于肿瘤内CT阈值分割的多组分放射学模型预测≤30mm肺腺癌脏层胸膜侵犯
Yuanxin Sun,Jing Chen,Tingting Wang et al.
Yuanxin Sun et al.
Objectives: This retrospective study aims to investigate the value of intratumoral computed tomography (CT) threshold segmentation in radiomics, deep learning (DL), and radiomics-DL combined models for predicting visceral...
Chinese expert concern and consensus on applications of artificial intelligence in clinical cancer imaging [0.03%]
中国人工智能在临床癌症影像应用的争议与共识
Hong Wu,Xiaorui Yin,Jiejun Cheng et al.
Hong Wu et al.
Artificial intelligence (AI) demonstrates potential throughout the cancer care continuum, with evidence supporting its application in medical imaging for detection, staging, treatment planning, and prognostic evaluation. However, clinical t...
Radiological pure-solid appearance clinical stage I lung adenocarcinoma: a comparative study of mucinous and non-mucinous adenocarcinoma based on imaging features and survival outcomes [0.03%]
基于影像学特征和生存结果的黏液性与非黏液性肺腺癌的比较研究——以放射学表现为纯实性的Ⅰ期肺腺癌为例
Wei Li,He Du,Shixing Wu et al.
Wei Li et al.
Objectives: Our study aims to compare the clinicopathological, genetic, and prognostic differences between pure-solid appearance clinical stage I mucinous and non-mucinous adenocarcinomas. ...
Spectral CT parameters of perivascular adipose tissue as non-invasive biomarkers for identifying symptomatic carotid atherosclerosis [0.03%]
基于光谱CT参数的血管周脂肪组织无创评估对有症状颈动脉斑块性质的影响研究
Xiaohan Zheng,Xuehuan Liu,Jinyu Song et al.
Xiaohan Zheng et al.
Objectives: To evaluate the association between computed tomography (CT) spectral parameters of perivascular adipose tissue (PVAT) and carotid plaque composition, and to assess their value for identifying symptomatic plaq...
Assessment of inter-reader agreement and diagnostic performance of Node-RADS in colon cancer [0.03%]
结直肠癌患者淋巴结清扫数目及Node-RADS效能的多中心研究
Hui Wang,Bailing Dai,Na Feng et al.
Hui Wang et al.
Objectives: To assess the inter-reader agreement and diagnostic performance of Node-reporting and data system (Node-RADS) in the evaluation of colon cancer among radiologists with varied experience levels. ...
Temporal changes in breast cancer lifetime risk and implications for personalised surveillance in high-risk women [0.03%]
乳腺癌终生发病风险的时程变化及对高危女性个体化筛查的启示
Machteld Keupers,Sam Nijssen,Willem Sarkol et al.
Machteld Keupers et al.
Objectives: To evaluate temporal changes in breast cancer lifetime risk (BC-LTR) over a 10-year period among women with clinically elevated risk but without known pathogenic genetic mutations, using the International Brea...
Indeterminate CT reporting of adult acute appendicitis: radiologist versus lexicon-based diagnostic certainty [0.03%]
成人急性阑尾炎CT检查的不确定报告：放射科医生与基于词典的确诊之间的差异
Piyachai Siriphiphatcharoen,Rathachai Kaewlai,Sasima Tongsai et al.
Piyachai Siriphiphatcharoen et al.
Objectives: To evaluate report indeterminacy, diagnostic performance, and agreement with final diagnosis in CT performed for suspected adult acute appendicitis (AA), comparing original radiologist reports, adjudicated imp...
Multidimensional deep learning for grading and prognostic assessment of intrahepatic mass-forming cholangiocarcinoma [0.03%]
用于肝内胆管癌分级和预后评估的多维深度学习
Liyong Zhuo,Wenjing Chen,Zijun Song et al.
Liyong Zhuo et al.
Objective: To develop an interpretable magnetic resonance imaging (MRI)-based framework for preoperative histologic grading of intrahepatic mass-forming cholangiocarcinoma (IMCC) and exploratory prognostic stratification....