结直肠肛门外科2026，Vol.32Issue(1)：32-36,5.DOI:10.19668/j.cnki.issn1674-0491.2026.01.005
直肠癌癌结节影像学评估现状与挑战:从解剖形态到人工智能
Current status and challenges in imaging evaluation of tumor deposits in rectal cancer:from anatomical morphology to artificial intelligence
冯彩珍 1王屹1
作者信息
- 1. 北京大学人民医院放射科 北京 100044
- 折叠
摘要
Abstract
Tumor deposits(TDs)in rectal cancer represent a high-risk pathological feature independent of lymph node metastasis.They hold significant value in risk stratification and treatment decision-making for rectal cancer and have been incorporated into magnetic resonance imaging-based rectal cancer assessment criteria.Furthermore,quantitative func-tional imaging and integrated artificial intelligence(AI)models show potential in enhancing the diagnostic efficacy for TDs.The imaging evaluation system for rectal cancer is evolving from purely morphological descriptions toward a compre-hensive model that encompasses functional imaging,AI,and predictions of biological behavior.This article focuses on ana-lyzing the barriers to the clinical translation of advanced imaging technologies,the impact of deviations from the patho-logical"gold standard"on AI models,and the generalizability limitations of single-center data,aiming to provide an ob-jective reference for clinical diagnosis and treatment.关键词
直肠癌/癌结节/磁共振影像学/人工智能Key words
rectal cancer/tumor deposits/magnetic resonance imaging/artificial intelligence分类
医药卫生引用本文复制引用
冯彩珍,王屹..直肠癌癌结节影像学评估现状与挑战:从解剖形态到人工智能[J].结直肠肛门外科,2026,32(1):32-36,5.
