Predictive value of spectral CT multi-quantitative parameters combined with clinical characteristics on high-risk gastroesophageal varices of liver cirrhosis
10.3969/j.issn.1002-1671.2025.02.013
- VernacularTitle:能谱CT多定量参数结合临床特征对肝硬化高危食管胃静脉曲张的预测价值
- Author:
Ruisui HUANG
1
;
Wenqi QIN
1
;
Ke DING
1
;
Shanjin LU
1
;
Bin LIN
1
;
Jianning HUANG
1
;
Juan SU
1
Author Information
1. 广西医科大学第三附属医院放射科,广西 南宁 530031
- Publication Type:Journal Article
- Keywords:
spectral CT;
liver cirrhosis;
gastroesophageal varices;
nomogram
- From:
Journal of Practical Radiology
2025;41(2):236-240
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the application value of spectral CT multi-quantitative parameters combined with clinical characteristics in predicting high-risk gastroesophageal varices(GOV)in patients with liver cirrhosis.Methods The results of upper abdominal spectral CT enhancement and electronic gastroscopy in 112 patients diagnosed with liver cirrhosis were analyzed retrospec-tively,and the clinical data were collected.According to the gastroscopic manifestations,the patients were divided into high-risk GOV group(n=74)and low-risk GOV group(n=38).Univariate analysis was used to compare the spectral CT quantitative parameters and clinical characteristics between the two groups.Multivariate logistic regression analysis was used to screen the independent risk factors for high-risk GOV.R software was used to construct a nomogram model for predicting high-risk GOV,and the differentia-tion,calibration and clinical practicability of the prediction model were evaluated.Results The normalized iodine concentration(NIC)of liver left lobe,prothrombin time(PT),albumin(ALB)and liver function grading were independent risk factors for high-risk GOV(P＜0.05).The area under the curve(AUC)of receiver operating characteristic(ROC)curve of predicting high-risk GOV in nomo-gram model was 0.893.Calibration curve showed that the predicted results were basically consistent with the actual results.Decision curve analysis(DCA)showed that the prediction model had good clinical practicability.Conclusion The nomogram model based on NIC of liver left lobe,PT,ALB and liver function grading is helpful to predict patients with high-risk GOV in liver cirrhosis,and pro-vides a reference for clinical prevention and treatment of esophagogastric variceal bleeding(EVB).
