| 王一可,高伟,朱璐,赵磊,杨振兴,吴慧,郝粉娥.影像组学及其联合人工智能预测直肠癌壁外血管侵犯研究进展[J].中国介入影像与治疗学,2026,23(5):309-312 |
| 影像组学及其联合人工智能预测直肠癌壁外血管侵犯研究进展 |
| Research progresses in radiomics and combined with artificial intelligence for predicting extramural vascular invasion of rectal cancer |
| 投稿时间：2025-12-22 修订日期：2026-03-06 |
| DOI：10.13929/j.issn.1672-8475.2026.05.011 |
| 中文关键词: 直肠肿瘤 壁外血管侵犯 人工智能 磁共振成像 体层摄影术,X线计算机 影像组学 |
| 英文关键词:rectal neoplasms extramural venous invasion artificial intelligence magnetic resonance imaging tomography, X-ray computed radiomics |
| 基金项目:内蒙古自治区医师协会临床医学研究及临床新技术推广项目（YSXH2024KYF042）、内蒙古医科大学大学生创新创业训练计划（S202410132014）。 |
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| 中文摘要: |
| 直肠癌壁外血管侵犯（EMVI）是影响治疗决策和预后的关键因素，而影像学对此敏感度及特异度均有限。人工智能（AI）技术的快速发展为基于影像学预测直肠癌EMVI提供了新的途径。本文就影像组学及其联合AI预测直肠癌EMVI研究进展进行综述。 |
| 英文摘要: |
| Extramural vascular invasion （EMVI） is a critical impact factor of treatment decisions and prognosis of rectal cancer. Imaging serves as the primary method for preoperative diagnosis and assessment of rectal cancer， but its sensitivity and specificity for evaluating EMVI of rectal cancer are limited. In recent years， the rapid advancement of artificial intelligence （AI） technology has provided new approaches for predicting EMVI of rectal cancer based on imaging. The research progresses in radiomics and combined with AI for predicting EMVI of rectal cancer were reviewed in this article. |
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