Yin Yunqing, Zhang Wei, Chen Yanhui, Zhang Yanfang, Shen Xinying
The Second Clinical Medical College, Jinan University, China.
Department of Intervention, Shenzhen People's Hospital, Shenzhen, 518020, Guangdong, China.
Heliyon. 2024 Nov 20;10(23):e40588. doi: 10.1016/j.heliyon.2024.e40588. eCollection 2024 Dec 15.
Primary hepatic carcinoma, comprising hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC), and combined hepatocellular cholangiocarcinoma (cHCC-CCA), ranks among the most common malignancies worldwide. The heterogeneity of tumors is a primary factor impeding the efficacy of treatments for primary hepatic carcinoma. Immunohistochemical markers may play a potential role in characterizing this heterogeneity, providing significant guidance for prognostic analysis and the development of personalized treatment plans for the patients with primary hepatic carcinoma. Currently, primary hepatic carcinoma immunohistochemical analysis primarily relies on invasive techniques such as surgical pathology and tissue biopsy. Consequently, the non-invasive preoperative acquisition of primary hepatic carcinoma immunohistochemistry has emerged as a focal point of research. As an emerging non-invasive diagnostic technique, radiomics possesses the potential to extensively characterize tumor heterogeneity. It can predict immunohistochemical markers associated with hepatocellular carcinoma preoperatively, demonstrating significant auxiliary utility in clinical guidance. This article summarizes the progress in using radiomics to predict immunohistochemical markers in primary hepatic carcinoma, addresses the challenges faced in this field of study, and anticipates its future application prospects.
原发性肝癌,包括肝细胞癌(HCC)、肝内胆管癌(ICC)和肝内胆管肝细胞癌(cHCC-CCA),是全球最常见的恶性肿瘤之一。肿瘤的异质性是阻碍原发性肝癌治疗效果的主要因素。免疫组化标志物可能在表征这种异质性方面发挥潜在作用,为原发性肝癌患者的预后分析和个性化治疗方案的制定提供重要指导。目前,原发性肝癌免疫组化分析主要依赖手术病理和组织活检等侵入性技术。因此,原发性肝癌免疫组化的非侵入性术前获取已成为研究热点。作为一种新兴的非侵入性诊断技术,放射组学具有广泛表征肿瘤异质性的潜力。它可以术前预测与肝细胞癌相关的免疫组化标志物,在临床指导中显示出显著的辅助作用。本文综述了利用放射组学预测原发性肝癌免疫组化标志物的研究进展,探讨了该研究领域面临的挑战,并展望了其未来的应用前景。