Development and Validation of a Deep Learning–enabled Single Breath-hold Abbreviated MRI Protocol for Hepatocellular Carcinoma Diagnosis

作者：Yunfei Zhang, Zhijun Geng, Xianling Qian, Yuyao Xiao, Ruofan Sheng, Mengsu Zeng · 发表于：Radiology Artificial Intelligence · 年份：2026 · DOI：10.1148/ryai.250914 · 被引用次数：1 · 研究领域：Hepatocellular Carcinoma Treatment and Prognosis、MRI in cancer diagnosis、Radiomics and Machine Learning in Medical Imaging

A deep learning-based single breath-hold abbreviated MRI protocol for hepatocellular carcinoma diagnosis was developed, enabling gadolinium-free, ultrafast imaging while preserving full-sequence diagnostic information and demonstrating performance comparable to that of conventional complete MRI.