Miaomiao Wang, Yinzhong Wang, Liang Cao, Qian Wang, Ya Shen, Xiaoxue Tian, Junqiang Lei
{"title":"基于MRI对肝细胞癌术前血管包覆肿瘤簇的诊断效果:系统回顾和荟萃分析。","authors":"Miaomiao Wang, Yinzhong Wang, Liang Cao, Qian Wang, Ya Shen, Xiaoxue Tian, Junqiang Lei","doi":"10.1007/s11547-025-02100-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Vessels encapsulating tumor clusters (VETC) pattern is a unique pattern of vascular invasion that has been shown to be a poor prognostic factor for hepatocellular carcinoma (HCC). The purpose of this review and meta-analysis was to explore diagnostic performance between non-radiomics and radiomics model based on MRI for preoperative of vessels encapsulating tumor clusters (VETC) in hepatocellular carcinoma (HCC).</p><p><strong>Methods: </strong>All included articles were obtained from PubMed, Embase, Web of Science and Cochrane library as of September 30, 2024. The QUADAS-2 tool was used to assess methodological quality of eligible studies. The pooled data was using a mixed effects model within a 95% confidence interval (CI). Diagnostic performance was represented by summary receiver-operating characteristic curves and the area under the curve (AUC).</p><p><strong>Results: </strong>A total of 14 studies (10 non-radiomics and 6 radiomics) with 2961 HCC patients were included in this study. The pooled sensitivity and specificity of non radiomics model were 0.80 (95%CI:0.76-0.83) and 0.74(95%CI:0.69-0.78), with AUC of 0.84 (95%CI:0.80-0.87); whereas that of radiomics model was 0.88 (95%CI:0.83- 0.91) and 0.86 (95%CI:0.81-0.90) with AUC of 0.93 (95%CI:0.91-0.95).</p><p><strong>Conclusions: </strong>Radiomics model performed better than non-radiomics model based on MRI in preoperative prediction of VETC-positive HCC, but there was heterogeneity between studies, which needs to be interpreted with caution.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":4.8000,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Diagnostic performance based on MRI for preoperative of vessels encapsulating tumor clusters in hepatocellular carcinoma: a systematic review and meta-analysis.\",\"authors\":\"Miaomiao Wang, Yinzhong Wang, Liang Cao, Qian Wang, Ya Shen, Xiaoxue Tian, Junqiang Lei\",\"doi\":\"10.1007/s11547-025-02100-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Vessels encapsulating tumor clusters (VETC) pattern is a unique pattern of vascular invasion that has been shown to be a poor prognostic factor for hepatocellular carcinoma (HCC). The purpose of this review and meta-analysis was to explore diagnostic performance between non-radiomics and radiomics model based on MRI for preoperative of vessels encapsulating tumor clusters (VETC) in hepatocellular carcinoma (HCC).</p><p><strong>Methods: </strong>All included articles were obtained from PubMed, Embase, Web of Science and Cochrane library as of September 30, 2024. The QUADAS-2 tool was used to assess methodological quality of eligible studies. The pooled data was using a mixed effects model within a 95% confidence interval (CI). Diagnostic performance was represented by summary receiver-operating characteristic curves and the area under the curve (AUC).</p><p><strong>Results: </strong>A total of 14 studies (10 non-radiomics and 6 radiomics) with 2961 HCC patients were included in this study. The pooled sensitivity and specificity of non radiomics model were 0.80 (95%CI:0.76-0.83) and 0.74(95%CI:0.69-0.78), with AUC of 0.84 (95%CI:0.80-0.87); whereas that of radiomics model was 0.88 (95%CI:0.83- 0.91) and 0.86 (95%CI:0.81-0.90) with AUC of 0.93 (95%CI:0.91-0.95).</p><p><strong>Conclusions: </strong>Radiomics model performed better than non-radiomics model based on MRI in preoperative prediction of VETC-positive HCC, but there was heterogeneity between studies, which needs to be interpreted with caution.</p>\",\"PeriodicalId\":20817,\"journal\":{\"name\":\"Radiologia Medica\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2025-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Radiologia Medica\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s11547-025-02100-0\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiologia Medica","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11547-025-02100-0","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Diagnostic performance based on MRI for preoperative of vessels encapsulating tumor clusters in hepatocellular carcinoma: a systematic review and meta-analysis.
Objective: Vessels encapsulating tumor clusters (VETC) pattern is a unique pattern of vascular invasion that has been shown to be a poor prognostic factor for hepatocellular carcinoma (HCC). The purpose of this review and meta-analysis was to explore diagnostic performance between non-radiomics and radiomics model based on MRI for preoperative of vessels encapsulating tumor clusters (VETC) in hepatocellular carcinoma (HCC).
Methods: All included articles were obtained from PubMed, Embase, Web of Science and Cochrane library as of September 30, 2024. The QUADAS-2 tool was used to assess methodological quality of eligible studies. The pooled data was using a mixed effects model within a 95% confidence interval (CI). Diagnostic performance was represented by summary receiver-operating characteristic curves and the area under the curve (AUC).
Results: A total of 14 studies (10 non-radiomics and 6 radiomics) with 2961 HCC patients were included in this study. The pooled sensitivity and specificity of non radiomics model were 0.80 (95%CI:0.76-0.83) and 0.74(95%CI:0.69-0.78), with AUC of 0.84 (95%CI:0.80-0.87); whereas that of radiomics model was 0.88 (95%CI:0.83- 0.91) and 0.86 (95%CI:0.81-0.90) with AUC of 0.93 (95%CI:0.91-0.95).
Conclusions: Radiomics model performed better than non-radiomics model based on MRI in preoperative prediction of VETC-positive HCC, but there was heterogeneity between studies, which needs to be interpreted with caution.
期刊介绍:
Felice Perussia founded La radiologia medica in 1914. It is a peer-reviewed journal and serves as the official journal of the Italian Society of Medical and Interventional Radiology (SIRM). The primary purpose of the journal is to disseminate information related to Radiology, especially advancements in diagnostic imaging and related disciplines. La radiologia medica welcomes original research on both fundamental and clinical aspects of modern radiology, with a particular focus on diagnostic and interventional imaging techniques. It also covers topics such as radiotherapy, nuclear medicine, radiobiology, health physics, and artificial intelligence in the context of clinical implications. The journal includes various types of contributions such as original articles, review articles, editorials, short reports, and letters to the editor. With an esteemed Editorial Board and a selection of insightful reports, the journal is an indispensable resource for radiologists and professionals in related fields. Ultimately, La radiologia medica aims to serve as a platform for international collaboration and knowledge sharing within the radiological community.