CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Evolution of Radiological Treatment Response Assessments for Cancer Immunotherapy: From iRECIST to Radiomics and Artificial Intelligence.
Evolution of Radiological Treatment Response Assessments for Cancer Immunotherapy: From iRECIST to Radiomics and Artificial Intelligence.
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免疫治疗已经彻底改变了癌症治疗,并开辟了新的范式。在免疫治疗和分子靶向治疗时代,精准医学受到重视,而早期疗效评估是这一方法的关键要素。免疫治疗的治疗反应评估对放射科医生来说具有挑战性,因为免疫治疗药物从免疫检查点抑制剂到CAR-T 细胞迅速发展,许多放射科医生可能并不熟悉,而且治疗可能出现非典型反应,如假性进展和超进展。因此,新的反应评估方法,如免疫反应评估、功能/分子影像生物标志物以及人工智能(包括影像组学和机器学习方法)已被开发和研究。放射科医生应了解免疫治疗发展的最新趋势和新的反应评估方法。
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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