Adding artificial intelligence case malignancy scoring to reduce screen-reading workload in breast screening program: results of the retrospective REAI program [0.03%]
基于人工智能病理评分减少乳腺筛查中阅片工作量的回顾性研究(REAI计划)结果
Andrea Nitrosi,Paolo Giorgi Rossi,Laura Verzellesi et al.
Andrea Nitrosi et al.
Aim: The AI case malignancy score (AI-CMS) represents the AI algorithm's confidence (from 0 to 100%) that a mammography exam is malignant. This work aims to retrospectively evaluate, through simulation on real-world data,...
Correction: Intraductal papilloma of the breast: low risk, but handle with care [0.03%]
纠正：乳腺管内乳头状瘤：低风险，但需谨慎处理
Luca Nicosia,Luciano Mariano,Carmen Mallardi et al.
Luca Nicosia et al.
Published Erratum
La Radiologia medica. 2025 Nov 24. DOI:10.1007/s11547-025-02150-4 2025
Attenuation-based estimation of myocardial extracellular volume from ECG-ungated whole-body CT examinations as an early biomarker of chemotherapy-induced cardiotoxicity: preliminary findings [0.03%]
基于衰减的心肌细胞外体积分数在ECG非门控全身CT上的测定：化疗诱导的心脏毒性的早期生物标志物的初步研究结果
Giovanni Donato Aquaro,Lorenzo Faggioni,Roberto Francischello et al.
Giovanni Donato Aquaro et al.
Purpose: To evaluate whether myocardial extracellular volume (ECV) could be estimated from whole-body CT examinations without electrocardiographic gating in cancer patients before and after the chemotherapy, with the goal...
Prostatic artery embolization with glue for benign prostatic hyperplasia in elderly patients: three-year results [0.03%]
老年患者良性前列腺增生的前列腺动脉栓塞胶水治疗：三年结果
Antonio Vizzuso,Maria Vittoria Bazzocchi,Mara Bacchiani et al.
Antonio Vizzuso et al.
Purpose: To evaluate the clinical efficacy and safety of prostatic artery embolization (PAE) using glue (n-butyl cyanoacrylate, NBCA) in patients with benign prostatic hyperplasia (BPH) presenting with lower urinary tract...
Decreased T2-signal intensities indicate positive response to front-line radiotherapy in pediatric low-grade gliomas [0.03%]
T2信号强度降低表示儿童低级别胶质瘤一线放射治疗反应良好
Simon Weiner,Monika Warmuth-Metz,Daniela Kandels et al.
Simon Weiner et al.
Purpose: To evaluate MRI changes in T2-weighted imaging (T2WI) signal intensity (T2SI) as a potential imaging marker for assessing response to radiotherapy (RT) in pediatric low-grade glioma (pLGG). ...
Edith Vassallo,Emma Tabone,Reuben Grech et al.
Edith Vassallo et al.
The parapharyngeal space is a complex anatomical site in the head and neck which may harbour clinically occult pathology given its deep-seated location. The vast majority of parapharyngeal space lesions are of intermediate or hyperintense s...
Automated AI fracture detection in initial presentation pediatric wrist X-rays: effects and benefits of adding follow-up examinations [0.03%]
人工智能辅助儿童手腕X光片骨折检测：增加随访检查的影响和好处
Mario Scherkl,Nikolaus Stranger,Andreea Ciornei-Hoffman et al.
Mario Scherkl et al.
Background: Artificial Intelligence (AI) in radiology has shown promise in detecting fractures on initial X-rays. However, the role of follow-up examinations in enhancing AI performance remains unexplored. This study eval...
Feasibility study on QSM and R2* mapping for quantitative evaluation of iron deposition and ovarian function assessment in endometriotic ovarian cysts [0.03%]
定量评价子宫内膜异位囊肿铁沉积及卵巢功能的QSM和R2*mapping可行性研究
Dawei Ding,Lingyu Chang,Xuemei Wang et al.
Dawei Ding et al.
Objectives: To evaluate the feasibility of quantitative susceptibility mapping (QSM) and R2* mapping in assessing iron deposition in endometriotic ovarian cysts (EMO) and their potential implications for ovarian reserve. ...
Whole-lesion histogram analysis of multi-model diffusion-weighted imaging for characterization and molecular classification of breast lesions [0.03%]
多模型弥散加权成像全病变直方图分析用于乳腺病变的特征及分子分型
Yuan Yuan,Manhua Huang,Jie Peng et al.
Yuan Yuan et al.
Purpose: To evaluate the value of whole-lesion histogram analysis derived from mono-exponential, bi-exponential, and stretched-exponential DWI models in differentiating benign from malignant breast lesions and exploring m...
Multi-sequence MRI deep learning and habitat radiomics for predicting mismatch repair status and prognosis in colorectal liver metastasis: a multicenter study [0.03%]
多序列MRI深度学习和放射组学预测结直肠癌肝转移患者错配修复状态及预后的多中心研究
Zhuofu Li,Jianing Zhang,Chao Sun et al.
Zhuofu Li et al.
Purpose: This retrospective study aims to evaluate the habitat radiomics and deep learning models based on multi-sequence MRI in preoperatively predicting mismatch repair (MMR) status, and prognosis in colorectal liver me...