Institute for Medical Imaging Technology, Ruijin Hospital, Shanghai, 201800, China.
School of Biomedical Engineering, ShanghaiTech University, Shanghai, 201210, China.
Cancer Imaging. 2024 Aug 15;24(1):107. doi: 10.1186/s40644-024-00758-9.
Extensive efforts have been dedicated to exploring the impact of tumor heterogeneity on cancer treatment at both histological and genetic levels. To accurately measure intra-tumoral heterogeneity, a non-invasive imaging technique, known as habitat imaging, was developed. The technique quantifies intra-tumoral heterogeneity by dividing complex tumors into distinct sub- regions, called habitats. This article reviews the following aspects of habitat imaging in cancer treatment, with a focus on radiotherapy: (1) Habitat imaging biomarkers for assessing tumor physiology; (2) Methods for habitat generation; (3) Efforts to combine radiomics, another imaging quantification method, with habitat imaging; (4) Technical challenges and potential solutions related to habitat imaging; (5) Pathological validation of habitat imaging and how it can be utilized to evaluate cancer treatment by predicting treatment response including survival rate, recurrence, and pathological response as well as ongoing open clinical trials.
人们在组织学和遗传学层面上投入了大量精力来探索肿瘤异质性对癌症治疗的影响。为了准确测量肿瘤内异质性,开发了一种名为栖息地成像的非侵入性成像技术。该技术通过将复杂的肿瘤划分为不同的亚区域(称为栖息地)来量化肿瘤内异质性。本文综述了癌症治疗中栖息地成像的以下几个方面,重点是放射治疗:(1)用于评估肿瘤生理学的栖息地成像生物标志物;(2)生成栖息地的方法;(3)将另一种成像量化方法——放射组学与栖息地成像相结合的努力;(4)与栖息地成像相关的技术挑战和潜在解决方案;(5)栖息地成像的病理验证以及如何利用它来评估癌症治疗,包括预测生存率、复发率和病理反应以及正在进行的临床试验。