Liu Y N, Xu Y K, Deng S Y, Ding H G
Department of Gastroenterology and Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing 10006, China.
Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Zhonghua Gan Zang Bing Za Zhi. 2022 Aug 20;30(8):809-813. doi: 10.3760/cma.j.cn501113-20220628-00359.
Hepatocellular carcinoma (HCC) is one of the most common malignant tumors worldwide. Microvascular invasion (MVI) is considered the major risk factor for postoperative recurrence and metastasis in HCC. The diagnosis of MVI relies on the postoperative pathological assessment of the tumor tissues. Seeking non-invasive methods and biomarkers for evaluation of MVI before surgery has important clinical implications for guiding surgical treatment and improving patients' survival. Recent studies have reported the applications of radiomics technique in prediction of MVI in HCC and showed promising results. Herein we summarized the research progress in CT- or MRI-based radiomics models for prediction of MVI in HCC to provide helpful thinking for further research in this field.
肝细胞癌(HCC)是全球最常见的恶性肿瘤之一。微血管侵犯(MVI)被认为是HCC术后复发和转移的主要危险因素。MVI的诊断依赖于肿瘤组织的术后病理评估。寻找术前评估MVI的非侵入性方法和生物标志物对于指导手术治疗和提高患者生存率具有重要的临床意义。最近的研究报道了放射组学技术在预测HCC的MVI中的应用,并显示出有前景的结果。在此,我们总结了基于CT或MRI的放射组学模型在预测HCC的MVI方面的研究进展,为该领域的进一步研究提供有益的思路。