Radiomics in colorectal cancer

iRadiology Pub Date : 2023-09-07 DOI:10.1002/ird3.29
Long Wu, Huan Wu, Chen Li, Baofang Zhang, Xiaoyun Li, Yunhuan Zhen, Haiyang Li
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引用次数: 0

Abstract

Colorectal cancer (CRC) is a global health challenge with high morbidity and mortality. Radiomics, an emerging field, utilizes quantitative imaging features extracted from medical images for CRC diagnosis, staging, treatment response assessment, and prognostication. This review highlights the potential of radiomics for personalized CRC management. Radiomics enables noninvasive tumor characterization, aiding in early detection and accurate diagnosis, and it can be used to predict tumor stage, lymph node involvement, and prognosis. Furthermore, radiomics guides personalized therapies by assessing the treatment response and identifying patients who could benefit. Challenges include standardizing imaging protocols and analysis techniques. Robust validation frameworks and user-friendly software are needed for the integration of radiomics into clinical practice. Despite challenges, radiomics offers valuable insights into tumor biology, treatment response, and prognosis in CRC. Overcoming technical and clinical hurdles will unlock its full potential in CRC management.

Abstract Image

癌症的放射组学
癌症是一个全球性的健康挑战,具有较高的发病率和死亡率。放射组学是一个新兴领域,利用从医学图像中提取的定量成像特征进行CRC诊断、分期、治疗反应评估和预测。这篇综述强调了放射组学在个性化CRC管理方面的潜力。放射组学能够进行无创的肿瘤表征,有助于早期检测和准确诊断,并可用于预测肿瘤分期、淋巴结受累和预后。此外,放射组学通过评估治疗反应和确定可能受益的患者来指导个性化治疗。挑战包括标准化成像协议和分析技术。将放射组学纳入临床实践需要强大的验证框架和用户友好的软件。尽管存在挑战,放射组学为CRC的肿瘤生物学、治疗反应和预后提供了有价值的见解。克服技术和临床障碍将释放其在CRC管理中的全部潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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