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放射组学在直肠癌中的新兴应用:现状与未来展望。

Emerging applications of radiomics in rectal cancer: State of the art and future perspectives.

机构信息

Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, Zhejiang Province, China.

出版信息

World J Gastroenterol. 2021 Jul 7;27(25):3802-3814. doi: 10.3748/wjg.v27.i25.3802.

Abstract

Rectal cancer (RC) is the third most commonly diagnosed cancer and has a high risk of mortality, although overall survival rates have improved. Preoperative assessments and predictions, including risk stratification, responses to therapy, long-term clinical outcomes, and gene mutation status, are crucial to guide the optimization of personalized treatment strategies. Radiomics is a novel approach that enables the evaluation of the heterogeneity and biological behavior of tumors by quantitative extraction of features from medical imaging. As these extracted features cannot be captured by visual inspection, the field holds significant promise. Recent studies have proved the rapid development of radiomics and validated its diagnostic and predictive efficacy. Nonetheless, existing radiomics research on RC is highly heterogeneous due to challenges in workflow standardization and limitations of objective cohort conditions. Here, we present a summary of existing research based on computed tomography and magnetic resonance imaging. We highlight the most salient issues in the field of radiomics and analyze the most urgent problems that require resolution. Our review provides a cutting-edge view of the use of radiomics to detect and evaluate RC, and will benefit researchers dedicated to using this state-of-the-art technology in the era of precision medicine.

摘要

直肠癌(RC)是第三大常见癌症,死亡率高,尽管整体生存率有所提高。术前评估和预测,包括风险分层、对治疗的反应、长期临床结果和基因突变状态,对于指导优化个性化治疗策略至关重要。放射组学是一种新方法,可通过从医学成像中定量提取特征来评估肿瘤的异质性和生物学行为。由于这些提取的特征无法通过视觉检查来捕捉,因此该领域具有很大的潜力。最近的研究证明了放射组学的快速发展,并验证了其诊断和预测功效。然而,由于工作流程标准化的挑战和客观队列条件的限制,现有的 RC 放射组学研究具有高度异质性。在这里,我们根据计算机断层扫描和磁共振成像总结了现有的研究。我们强调了放射组学领域最突出的问题,并分析了需要解决的最紧迫问题。我们的综述提供了使用放射组学检测和评估 RC 的最新观点,将使致力于在精准医学时代使用这项最先进技术的研究人员受益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8174/8291019/854cacc5df45/WJG-27-3802-g001.jpg

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