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

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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.
Author(s)
Nari KimEun Sung LeeSang Eun WonMihyun YangAmy Junghyun LeeYoungbin ShinYousun KoJunhee PyoHyo Jung ParkKyung Won Kim
Issued Date
2022
Type
Article
Keyword
Artificial intelligenceImmunotherapyRECISTRadiomicsiRECIST
DOI
10.3348/kjr.2022.0225
URI
https://oak.ulsan.ac.kr/handle/2021.oak/14402
Publisher
KOREAN JOURNAL OF RADIOLOGY
Language
영어
ISSN
1229-6929
Citation Volume
23
Citation Number
11
Citation Start Page
1089
Citation End Page
1101
Appears in Collections:
Medicine > Nursing
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