Logistic regression analyses for preoperative assessment of liver functional reserve based on virtual touch tissues quantification and fibrosis-4
10.3760/cma.j.cn113884-20200901-00466
- VernacularTitle:基于VTQ和FIB-4的logistic回归模型诊断肝脏外科手术前肝脏储备功能明显受损的研究
- Author:
Chunrui LIU
1
;
Wentao KONG
;
Hao HAN
;
Liang MAO
;
Yudong QIU
;
Min WU
Author Information
1. 南京大学医学院附属鼓楼医院超声诊断科，南京 210008
- Keywords:
Hepatectomy;
Liver function tests;
Elasticity imaging techniques;
Regression models
- From:
Chinese Journal of Hepatobiliary Surgery
2021;27(7):489-493
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the effect of logistic regression model based on virtual touch tissues quantification (VTQ) and fibrosis index based on four factors (FIB-4) in assessing impaired liver reserve function (LFR) in hepatic surgery patients before surgical resection.Methods:From January 2016 to October 2018, 173 patients including 135 males and 38 females with the mean age of 58.6 years old, scheduled for potential hepatectomy in Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, were enrolled in our retrospective study. According to indocyanine green retention test at 15 minutes (ICG R15), the patients were divided into two groups, LFR-impaired group ( n=11, ICG R15≥20%) and control group ( n=162, ICG R15 < 20%). VTQ, FIB-4, platelet count and other parameters were compared between two groups. The multivariate logistic regression model was used to establish a risk model to access the impaired LFR. Receiver operating characteristic (ROC) curve was used to analyze the efficacy of each parameter in LFR-impaired. Results:The platelet count in LFR-impaired group was lower than that in control group, VTQ and FIB-4 were higher than that in control group (all P<0.05). Logistic regression showed that VTQ ( OR=4.382, 95% CI: 1.380-13.918)) and FIB-4 ( OR=2.112, 95% CI: 1.342-3.325) were risk factors for LFR-impaired. The final prediction model of LFR-impaired group was Logit (P)=-6.185+ 0.748×FIB-4+ 1.477×VTQ. The cut-off point (sensitivity, specificity, accuracy) of logistic model, FIB-4 and VTQ were 0.098 (72.8%, 90.1%, 89.0%), 0.990 (90.9%, 79.0%, 79.8%) and 1.8 m/s (81.8%, 77.8%, 78.0%), respectively. The specificity, accuracy of logistic model was higher than FIB-4 or VTQ. Conclusions:Logistic regression model based on VTQ and FIB-4 may improve the specificity and accuracy in the diagnosis of significant LFR impairment. VTQ can further assist clinicians in preoperative evaluation of LFR.
