影像科学与光化学2024，Vol.42Issue(4)：378-384,7.DOI:10.7517/issn.1674-0475.2024.04.12
基于多模态超声参数特征构建肝细胞肝癌微血管侵犯的风险列线图模型
Constructing a Risk Line Graph Model for Microvascular Invasion in Hepatocellular Carcinoma Based on Multimodal Ultrasound Parameter Features
张文婷 1金影 1伍卓乐 2符少清 1许海虹 1黄飞女 1陈君耀1
作者信息
- 1. 海南省肿瘤医院超声科,海南海口 570300
- 2. 海南省人民医院超声科,海南海口 570311
- 折叠
摘要
Abstract
Objective:Based on the characteristics of multimodal ultrasound parameters,a risk nomogram model of microvascular invasion(MVI)in hepatocellular carcinoma(HCC)was constructed.Methods:A total of 172 patients with HCC who were treated after diagnosis in the hospital from May 2021 to August 2022 were retrospectively selected as the research objects.According to the pathological diagnosis,they were divided into MVI non-occurrence group and MVI group.Multivariate Logistic regression was used to analyze the influencing factors of MVI and construct the corresponding risk prediction model.Results:Among them,70 cases(41.70％)in the MVI non-onset group and 102 cases(59.30％)in the MVI group;the lesion size,AP,PP and PVP of the two groups were independent factors affecting the occurrence of MVI in HCC patients(P＜0.05).Model formula:Logit(P)=12.151+0.067×lesion size-2.253×AP-2.553×PP-3.565×PVP.The area under the ROC curve was 0.971,95％CI:0.951-0.991,the sensitivity was 0.892,and the specificity was 0.943.Conclusion:The predictive model of MVI risk column chart for HCC patients has good predictive performance,with lesion size,AP,PP,and PVP being the main influencing factors for the occurrence of MVI in patients.关键词
多模态超声/肝细胞肝癌/微血管侵犯/列线图/预测模型Key words
multimodal ultrasound/hepatocellular carcinoma(HCC)/microvascular invasion/column chart/prediction model分类
医药卫生引用本文复制引用
张文婷,金影,伍卓乐,符少清,许海虹,黄飞女,陈君耀..基于多模态超声参数特征构建肝细胞肝癌微血管侵犯的风险列线图模型[J].影像科学与光化学,2024,42(4):378-384,7.
