MRI- and report-based multimodal model with SHAP-based explanation for preoperative prediction of deep stromal invasion in early-stage cervical cancer [0.03%]
基于MRI和报告的多模态模型结合SHAP解释用于早期宫颈癌术前深肌层浸润预测
Raoying Xie,Yao Ai,Anqi Bao et al.
Raoying Xie et al.
Objectives: Depth of stromal invasion (DSI) is a key prognostic factor significantly influencing treatment decisions in early-stage cervical cancer (ESCC). This study aims to develop an explainable multimodal data fusion ...
Decoding collaboration obstacles: a survey on reporting preferences between neuroradiologists and clinical specialists [0.03%]
神经放射学家和临床专科医生合作障碍的破解：一项关于报告偏好的调查研究
Felix Gunzer,Giovanna Brandi,Reza Seiffert et al.
Felix Gunzer et al.
Objectives: To quantify reporting preferences and communication barriers between neuroradiologists and neuro-associated clinicians at a tertiary neuroscience center. ...
Parameters of dual-layer spectral detector CT for differentiating pathological types of colorectal adenocarcinoma [0.03%]
双层谱探测器CT鉴别结直肠腺癌病理分型的参数研究
Sisi Huang,Dongping Jiang,Shuang Tang et al.
Sisi Huang et al.
Objectives: To investigate the diagnostic performance of quantitative parameters derived from Dual-layer spectral detector CT (DLCT) in distinguishing between mucinous adenocarcinoma (MC) and adenocarcinoma not otherwise ...
How should we interpret excessive left ventricular trabeculation? Update on controversies from the cardiac imaging perspective [0.03%]
从心脏影像学角度更新左心室隔间隔过长的争议解读方向
Roque Oca Pernas,Nerea Hormaza Aguirre,Marcos Mestas Nuñes et al.
Roque Oca Pernas et al.
There are well-established and widely accepted criteria for determining the presence of excessive myocardial trabeculation (ET) in the left ventricle in patients undergoing cardiac imaging studies. ET has been documented in healthy individu...
Imaging-based clinical decision tree enables risk stratification of extraprostatic extension before radical prostatectomy in prostate cancer patients [0.03%]
基于影像的临床决策树能够在根治性前列腺切除术前对前列腺癌患者进行移出腺体外扩展的风险分层
Charlie A Hamm,Tim Rüterhenke,Georg L Baumgärtner et al.
Charlie A Hamm et al.
Objectives: Extraprostatic extension (EPE) significantly impacts surgical planning for prostate cancer (PCa) patients, influencing nerve-sparing surgery and neoadjuvant therapy decisions. However, Likert-scale-based radio...
Microstructural mapping of time-dependent diffusion MRI for predicting lymphovascular invasion in rectal cancer: a proof-of-concept investigation [0.03%]
基于时间依赖性弥散MRI的微结构表型预测直肠癌淋巴血管侵犯的价值研究
Fulin Lu,Yanwan Li,Ran Wu et al.
Fulin Lu et al.
Objective: To evaluate the value of time-dependent diffusion MRI (td-dMRI) derived microstructural parameters for predicting lymphovascular invasion (LVI) in rectal cancer. ...
CT-based interpretable delta-radiomics model for risk stratification of pulmonary ground-glass nodules: a multicentre study [0.03%]
基于CT的可解释性delta-影像组学模型在肺磨玻璃结节风险分层中的应用：多中心研究
Zhen Ye,Yingying Miao,Ping Wang et al.
Zhen Ye et al.
Objectives: To develop and externally validate an interpretable fusion model combining multi-time-point CT radiomics with clinical-semantic features to predict invasiveness of pulmonary ground-glass nodules and support th...
Simone Busoni,Anna Pichiecchio,Lara Cristiano et al.
Simone Busoni et al.
Objectives: Over the last few years, with the introduction of advanced MR imaging techniques, increasing exam demand and the growth of multi-center clinical trials and artificial intelligence (AI)-driven analysis, it has ...
Gender equity in radiology and radiology research: a survey by the European Society of Radiology [0.03%]
欧洲放射学会关于放射学和放射学研究中的性别平等的调查研究
Anna D&#x;Angelo,Elisabetta Giannotti,Minerva Becker et al.
Anna D&#x;Angelo et al.
Objectives: Gender equity in medicine remains a topic of increasing attention. The aim was to investigate if gender influences the radiology profession, with a focus on career progression, leadership roles, work-life bala...
Enhancing radiology workflows through collaborative AI-assisted chest X-ray reporting using large vision-language models: a proof-of-concept study [0.03%]
利用大规模视觉语言模型进行协作式AI辅助胸部X光报告以优化放射科工作流程的原理验证研究
Chantal Pellegrini,Ege Özsoy,Florian T Gassert et al.
Chantal Pellegrini et al.
Objectives: To evaluate whether collaborative assistance from an artificial intelligence-based tool that proposes partial radiology report content can improve reporting efficiency and radiologist satisfaction in chest X-r...