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

Front Oncol. 2024 May 22:14:1346407. doi: 10.3389/fonc.2024.1346407. eCollection 2024.

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.

Keywords: GTV determination; hepatocellular carcinoma; image segmentation - deep learning; multimodal imaging; radiotherapy.

Publication types

  • Review

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The authors (KM, GG, RL, SD and YY) acknowledge financial support for their research work and contribution writing this paper from their sponsors including National Nature Science Foundation of China (Grant Nos. 82072094, 82001902, and 12275162) and Nature Science Foundation of Shandong Province (Grant Nos. ZR2020QH198 and ZR2019LZL017).