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KMID : 0880420220230111089
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Korean Journal of Radiology
2022 Volume.23 No. 11 p.1089 ~ p.1101
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Evolution of Radiological Treatment Response Assessments for Cancer Immunotherapy: From iRECIST to Radiomics and Artificial Intelligence
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Kim Na-Ri
Lee Eun-Sung
Won Sang-Eun
Yang Mi-Hyun
Lee Amy-Junghyun
Shin Young-Bin
Ko You-Sun
Pyo Jun-Hee
Park Hyo-Jung
Kim Kyung-Won
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Abstract
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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.
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KEYWORD
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Artificial intelligence, Immunotherapy, RECIST, Radiomics, iRECIST.
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