影像学在预测直肠癌新辅助放化疗后肿瘤退缩分级中的研究进展

Progress of Imaging in Predicting Tumor Regression Grade After Neoadjuvant Chemoradiotherapy for Rectal Cancer

术前准确预测局部进展期直肠癌患者新辅助放化疗(Neoadjuvant Chemoradiotherapy,NCRT)后肿瘤退缩分级(Tumor Regression Grade,TRG)有助于为患者提供个体化治疗方案。影像学方法是预测TRG的主要手段,但常规影像学方法的预测效能不佳。造影、功能成像在内的多种影像学新技术的发展提供了新的手段,影像组学在海量图像中,利用计算机识别深层次的信息,能够对临床关注的疗效、预后及治疗决策等提供更客观的依据。本文针对影像学预测NCRT后直肠癌的TRG的大量应用研究进行综述,以期了解其最新进展。

Accurate preoperative prediction of tumor regression grade(TRG)after neoadjuvant chemoradiotherapy(NCRT)in patients with locally advanced rectal cancer before surgery can help to provide an individualized treatment plan for patients.Imaging methods are the primary means of predicting TRG,but the predictive efficacy of traditional imaging methods is unsatisfactory.The development of several new imaging techniques,including contrast enhanced and functional imaging,provides new means,radiomics can provide more objective support for clinical concerns such as efficacy,prognosis,and treatment decisions by using computers to identify deep-seated information in a large number of images.This paper aims to review a large number of applied studies on imaging to predict TRG in rectal cancer after NCRT,to understand its latest progress.