Advancements in Radiomics for Immunotherapy of Non-small Cell Lung Cancer
| Autor: | Yue HOU, Tianming ZHANG, Hong WANG |
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| Jazyk: | čínština |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Chinese Journal of Lung Cancer, Vol 27, Iss 8, Pp 637-644 (2024) |
| Druh dokumentu: | article |
| ISSN: | 1009-3419 1999-6187 |
| DOI: | 10.3779/j.issn.1009-3419.2024.102.29 |
| Popis: | Lung cancer is the main cause of cancer-related deaths, with non-small cell lung cancer (NSCLC) being the predominant subtype. At present, immunotherapy represented by immune checkpoint inhibitors (ICIs) of programmed cell death receptor 1 or its ligand has been widely used in the clinical diagnosis and treatment of patients with NSCLC. However, only a few patients can benefit from it, and reliable predictive markers for immunotherapy are lacking. Radiomics is a tool that uses computer software and algorithms to extract a large amount of quantitative information from biomedical images. A large number of studies have confirmed that the radiomic model that predicts the immune efficacy of NSCLC can be used as a new type of immune efficacy predictive marker, which is expected to guide the individualized diagnosis and treatment decisions for patients with lung cancer and has a bright application prospect. This article reviews the research progress of radiomics in predicting the immune therapy response of NSCLC, identifying pseudo-progression and hyperprogression, ICIs-related pneumonia, cachexia risk, and combining with other genomics. |
| Databáze: | Directory of Open Access Journals |
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