Predictive value of high-risk esophageal varices in cirrhosis based on dual-energy CT combined with clinical and serologic features.

IF 2.9 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Jiewen Chen, Fei Zhang, Shuitian Wu, Disi Liu, Liyang Yang, Meng Li, Ming Yin, Kun Ma, Ge Wen, Weikang Huang
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引用次数: 0

Abstract

Objective: To investigate the predictive value of dual-energy CT (DECT) in combination with clinical and serologic features for noninvasive assessment of high-risk esophageal variceal (EV) in cirrhosis patients.

Data and methods: 120 patients who had undergone DECT and gastroscopy were retrospectively enrolled. They were categorized into low-risk variceal (LRV) and high-risk variceal (HRV) groups by gastroscopy (LRV: none, mild, HRV: moderate, severe). Clinical data, serologic and DECT parameters were recorded respectively. Multifactorial logistic regression analyses were conducted to develop clinical, serological, DECT, and combined models. AUC was utilized to assess the diagnostic performance. Non-parametric tests were employed to analyze differences in DECT parameters among different grading of EV.

Results: In clinical model, ascites was the independent risk predictor, with 78.3% accuracy,50% sensitivity, 100% specificity, and an AUC of 0.693. The serological model revealed white blood cell count, hematocrit, alanine aminotransferase, and platelet count as predictors for HRV, demonstrating 83.3% accuracy, 90.9% sensitivity, 76.9% specificity, and an AUC of 0.784. The DECT model, identified liver normalized iodine volume (NIV-L) and spleen volume (V-S) as key predictors, with 84% accuracy, 72.7% sensitivity, 92.9% specificity, and an AUC of 0.84. The combined model, integrating NIV-L, V-S, and Ascites, demonstrated superior performance with 82.6% accuracy, 90% sensitivity, 76.9% specificity, and an AUC of 0.878, compared to the other models. Additionally, severe EV had higher V-S and NIV-S values than other grades (p < 0.05), with AUC of 0.874 and 0.864, respectively.

Conclusion: DECT-based NIV-L, V-S, and presence of ascites can predict high-risk esophageal varices.

Clinical relevance statement: Quantitative parameters of DECT can predict high-risk esophageal varices in cirrhotic patients, avoid gastroscopy, if possible, continue hierarchical management.

Trial registration: retrospectively registered.

双能CT结合临床及血清学特征对肝硬化高危食管静脉曲张的预测价值。
目的:探讨双能CT (DECT)结合临床及血清学特征对肝硬化高危食管静脉曲张(EV)无创评估的预测价值。资料和方法:回顾性纳入120例接受DECT和胃镜检查的患者。通过胃镜检查将患者分为低危性静脉曲张(LRV)组和高危性静脉曲张(HRV)组(LRV:无、轻度,HRV:中度、重度)。分别记录临床资料、血清学及DECT参数。进行多因素logistic回归分析以建立临床、血清学、DECT和联合模型。AUC用于评估诊断性能。采用非参数检验分析不同EV分级间DECT参数的差异。结果:在临床模型中,腹水是独立的危险预测因子,准确率为78.3%,敏感性为50%,特异性为100%,AUC为0.693。血清学模型显示,白细胞计数、红细胞压积、丙氨酸转氨酶和血小板计数是HRV的预测因子,准确率为83.3%,灵敏度为90.9%,特异性为76.9%,AUC为0.784。DECT模型将肝脏标准化碘体积(NIV-L)和脾脏体积(V-S)确定为关键预测因子,准确率为84%,灵敏度为72.7%,特异性为92.9%,AUC为0.84。整合NIV-L、V-S和腹水的联合模型与其他模型相比,准确率为82.6%,灵敏度为90%,特异性为76.9%,AUC为0.878。此外,严重EV的V-S和NIV-S值高于其他级别(p)。结论:基于ct的NIV-L、V-S和腹水的存在可以预测高危食管静脉曲张。临床相关性声明:DECT的定量参数可以预测肝硬化患者食管静脉曲张的高危性,避免胃镜检查,如果可能,继续分级管理。试验注册:回顾性注册。
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来源期刊
BMC Medical Imaging
BMC Medical Imaging RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
4.60
自引率
3.70%
发文量
198
审稿时长
27 weeks
期刊介绍: BMC Medical Imaging is an open access journal publishing original peer-reviewed research articles in the development, evaluation, and use of imaging techniques and image processing tools to diagnose and manage disease.
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