Xu Xiaopan, Wang Huanjun, Guo Yan, Zhang Xi, Li Baojuan, Du Peng, Liu Yang, Lu Hongbing
School of Biomedical Engineering, Air Force Medical University, Xi'an, China.
Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Front Oncol. 2021 Jul 15;11:704039. doi: 10.3389/fonc.2021.704039. eCollection 2021.
Urinary bladder cancer (BCa) is a highly prevalent disease among aged males. Precise diagnosis of tumor phenotypes and recurrence risk is of vital importance in the clinical management of BCa. Although imaging modalities such as CT and multiparametric MRI have played an essential role in the noninvasive diagnosis and prognosis of BCa, radiomics has also shown great potential in the precise diagnosis of BCa and preoperative prediction of the recurrence risk. Radiomics-empowered image interpretation can amplify the differences in tumor heterogeneity between different phenotypes, i.e., high-grade low-grade, early-stage vs. advanced-stage, and nonmuscle-invasive muscle-invasive. With a multimodal radiomics strategy, the recurrence risk of BCa can be preoperatively predicted, providing critical information for the clinical decision making. We thus reviewed the rapid progress in the field of medical imaging empowered by the radiomics for decoding the phenotype and recurrence risk of BCa during the past 20 years, summarizing the entire pipeline of the radiomics strategy for the definition of BCa phenotype and recurrence risk including region of interest definition, radiomics feature extraction, tumor phenotype prediction and recurrence risk stratification. We particularly focus on current pitfalls, challenges and opportunities to promote massive clinical applications of radiomics pipeline in the near future.
膀胱癌(BCa)在老年男性中是一种高度流行的疾病。精确诊断肿瘤表型和复发风险在BCa的临床管理中至关重要。尽管CT和多参数MRI等成像方式在BCa的无创诊断和预后评估中发挥了重要作用,但放射组学在BCa的精确诊断和复发风险的术前预测方面也显示出巨大潜力。基于放射组学的图像解读可以放大不同表型肿瘤异质性的差异,即高级别与低级别、早期与晚期、非肌层浸润性与肌层浸润性。通过多模态放射组学策略,可以术前预测BCa的复发风险,为临床决策提供关键信息。因此,我们回顾了过去20年中由放射组学推动的医学成像领域在解码BCa表型和复发风险方面的快速进展,总结了用于定义BCa表型和复发风险的放射组学策略的整个流程,包括感兴趣区域定义、放射组学特征提取、肿瘤表型预测和复发风险分层。我们特别关注当前的缺陷、挑战和机遇,以促进放射组学流程在不久的将来大规模临床应用。