Advances in gross tumor target volume determination in radiotherapy for patients with hepatocellular carcinoma

Kangning Meng, G. Gong, Rui Liu, Shanshan Du, Yong Yin
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Abstract

Hepatocellular Carcinoma (HCC) is one of the most common malignant neoplasms. With the advancement of technology, the precision of radiotherapy (RT) for HCC has considerably increased, and it is an indispensable modality in the comprehensive management of HCC. Some RT techniques increase the radiation dose to HCC, which decreases the radiation dose delivered to the surrounding normal liver tissue. This approach significantly improves the efficacy of HCC treatment and reduces the incidence of Radiation-induced Liver Disease (RILD). Clear imaging and precise determination of the Gross Target Volume (GTV) are prerequisites of precise RT of HCC. The main hindrances in determining the HCC GTV include indistinct tumor boundaries on imaging and the impact on respiratory motion. The integration of multimodal imaging, four-dimensional imaging, and artificial intelligence (AI) techniques can help overcome challenges for HCC GTV. In this article, the advancements in medical imaging and precise determination for HCC GTV have been reviewed, providing a framework for the precise RT of HCC.
肝细胞癌患者放射治疗中肿瘤靶体积测定的进展
肝细胞癌(HCC)是最常见的恶性肿瘤之一。随着技术的进步,HCC 放射治疗(RT)的精确度大大提高,是综合治疗 HCC 不可或缺的方式。一些放射治疗技术增加了对 HCC 的放射剂量,从而减少了对周围正常肝组织的放射剂量。这种方法大大提高了 HCC 的治疗效果,降低了辐射诱发肝病(RILD)的发生率。清晰的成像和总靶体积(GTV)的精确确定是对 HCC 进行精确 RT 治疗的先决条件。确定 HCC GTV 的主要障碍包括成像中肿瘤边界不清晰以及呼吸运动的影响。多模态成像、四维成像和人工智能(AI)技术的整合有助于克服 HCC GTV 的挑战。本文回顾了医学成像和精确测定 HCC GTV 的进展,为 HCC 的精确 RT 提供了一个框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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