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癌症免疫治疗的放射治疗反应评估演变:从 iRECIST 到放射组学和人工智能。

Evolution of Radiological Treatment Response Assessments for Cancer Immunotherapy: From iRECIST to Radiomics and Artificial Intelligence.

机构信息

Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.

出版信息

Korean J Radiol. 2022 Nov;23(11):1089-1101. doi: 10.3348/kjr.2022.0225. Epub 2022 Sep 5.

Abstract

Immunotherapy has revolutionized and opened a new paradigm for cancer treatment. In the era of immunotherapy and molecular targeted therapy, precision medicine has gained emphasis, and an early response assessment is a key element of this approach. Treatment response assessment for immunotherapy is challenging for radiologists because of the rapid development of immunotherapeutic agents, from immune checkpoint inhibitors to chimeric antigen receptor-T cells, with which many radiologists may not be familiar, and the atypical responses to therapy, such as pseudoprogression and hyperprogression. Therefore, new response assessment methods such as immune response assessment, functional/molecular imaging biomarkers, and artificial intelligence (including radiomics and machine learning approaches) have been developed and investigated. Radiologists should be aware of recent trends in immunotherapy development and new response assessment methods.

摘要

免疫疗法彻底改变了癌症治疗模式,开创了新局面。在免疫治疗和分子靶向治疗时代,精准医疗备受关注,早期疗效评估是该治疗方法的关键要素。免疫治疗的疗效评估对放射科医生来说颇具挑战,因为免疫治疗药物发展迅速,从免疫检查点抑制剂到嵌合抗原受体 T 细胞,许多放射科医生对此可能并不熟悉,而且治疗的反应也不典型,如假性进展和超进展。因此,已经开发并研究了新的疗效评估方法,如免疫反应评估、功能/分子成像生物标志物和人工智能(包括放射组学和机器学习方法)。放射科医生应了解免疫治疗的最新发展趋势和新的疗效评估方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faa4/9614294/e76f3e4f86a6/kjr-23-1089-g001.jpg

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