超声结合影像组学与AI在胃肠间质瘤诊断及预后评估中的应用进展

Advances in the application of ultrasound combined with radiomics and artificial intelligence in the diagnosis and prognostic evaluation of gastrointestinal stromal tumors

摘要

胃肠道间质瘤（gastrointestinal stromal tumors,GISTs）作为最常见的胃肠道间叶源性肿瘤，其早期诊断和精准评估对临床治疗至关重要。超声检查在GISTs的初步检测、血流动力学监测及预后评估中发挥着重要作用，但其表现复杂多样，增加了诊断难度。影像组学与人工智能（artificial intelligence,AI）技术显著提升了医学影像分析效率，有望提高诊断精度并为预后评估提供科学依据。本综述系统回顾了超声影像组学与AI技术在GISTs诊断及预后评估中的最新研究进展，重点探讨了其在早期诊断和危险度评估中的应用价值，希望能为优化临床决策提供理论支持。

Abstract

Gastrointestinal stromal tumors（GISTs） are the most common mesenchymal neoplasms of the gastrointestinal tract，and early diagnosis and accurate evaluation are of great significance for clinical treatment. Ultrasound examination plays an important role in the preliminary detection，hemodynamic monitoring，and prognostic assessment of GISTs，but the complex and diverse manifestations of GISTs have increased the difficulties in diagnosis. Radiomics and artificial intelligence（AI） have significantly improved the efficiency of medical imaging analysis，and they are expected to enhance diagnostic accuracy and provide a scientific basis for prognostic evaluation. This article systematically reviews the latest research advances in ultrasound-based radiomics and AI in the diagnosis and prognostic evaluation of GISTs，with a focus on their application value in early diagnosis and risk assessment，in order to provide theoretical support for optimizing clinical decision-making.

Graphical abstract

关键词

胃肠道间质瘤 / 影像组学 / 超声影像学 / 人工智能

Key words

gastrointestinal stromal tumors / radiomics / ultrasound imaging / artificial intelligence

基金资助

重庆市科学技术局自然科学基金面上资助项目(2022NSCQ-MSX0133)

如影随形-胃肠微无创诊疗临床创新团队资助项目(W0189)