Suppr超能文献

基于CT和MRI图像的影像组学在预测肝细胞癌微血管侵犯中的研究进展

[Research progress in radiomics based on CT and MRI images for prediction of microvascular invasion in hepatocellular carcinoma].

作者信息

Liu Y N, Xu Y K, Deng S Y, Ding H G

机构信息

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.

出版信息

Zhonghua Gan Zang Bing Za Zhi. 2022 Aug 20;30(8):809-813. doi: 10.3760/cma.j.cn501113-20220628-00359.

Abstract

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.

摘要

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。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验