肝细胞癌免疫治疗和分子影像学的进展与挑战。

IF 2.9 4区 医学 Q3 ENDOCRINOLOGY & METABOLISM
Tu Haibin
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引用次数: 0

摘要

肝细胞癌(HCC)是癌症死亡的主要原因,晚期疾病对传统治疗具有耐药性。靶向联合免疫治疗,如ICIs与TKIs或抗vegf药物,改善了结果,但异质性反应需要预测性生物标志物。分子成像(MRI, PET/CT, CT, CEUS)为分层和监测提供了非侵入性肿瘤免疫微环境(TIME)见解。这篇综述综合了研究进展,证明了响应预测的auc为0.85,同时批评了人工智能等局限性,并提出了人工智能多模态融合。我们概述了精确肿瘤学的路线图,提高HCC的疗效和个体化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Advances and challenges in immunotherapy and molecular imaging for hepatocellular carcinoma.

Advances and challenges in immunotherapy and molecular imaging for hepatocellular carcinoma.

Advances and challenges in immunotherapy and molecular imaging for hepatocellular carcinoma.

Advances and challenges in immunotherapy and molecular imaging for hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality, with advanced disease resistant to conventional therapies. Targeted combined immunotherapy, such as ICIs with TKIs or anti-VEGF agents, has improved outcomes, but heterogeneous responses necessitate predictive biomarkers. Molecular imaging (MRI, PET/CT, CT, CEUS) provides non-invasive tumor immune microenvironment (TIME) insights for stratification and monitoring. This review synthesizes advances, evidencing AUCs > 0.85 in response prediction, while critiquing limitations like artifacts and proposing AI-multimodal fusion. We outline a roadmap for precision oncology, enhancing efficacy and personalization in HCC.

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来源期刊
Discover. Oncology
Discover. Oncology Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
2.40
自引率
9.10%
发文量
122
审稿时长
5 weeks
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