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一种基于MRI上肝脏/脾脏体积及门静脉直径的新型模型,用于预测乙肝肝硬化患者的静脉曲张出血。

A novel model based on liver/spleen volumes and portal vein diameter on MRI to predict variceal bleeding in HBV cirrhosis.

作者信息

Tan Bang-Guo, Tang Zhao, Ou Jing, Zhou Hai-Ying, Li Rui, Chen Tian-Wu, Zhang Xiao-Ming, Li Hong-Jun, Hu Jiani

机构信息

Sichuan Key Laboratory of Medical Imaging, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, 1# Maoyuan South Road, Shunqing District, Nanchong, 637000, Sichuan, China.

Department of Radiology, Panzhihua Central Hospital, 34# Yikang Street, East District, Panzhihua, 617067, Sichuan, China.

出版信息

Eur Radiol. 2023 Feb;33(2):1378-1387. doi: 10.1007/s00330-022-09107-5. Epub 2022 Sep 1.

Abstract

OBJECTIVE

To develop a novel logistic regression model based on liver/spleen volumes and portal vein diameter measured on magnetic resonance imaging (MRI) for predicting oesophagogastric variceal bleeding (OVB) secondary to HBV cirrhosis.

METHODS

One hundred eighty-five consecutive cirrhotic patients with hepatitis B undergoing abdominal contrast-enhanced MRI were randomly divided into training cohort (n = 130) and validation cohort (n = 55). Spleen volume, total liver volume, four liver lobe volumes, and diameters of portal venous system were measured on MRI. Ratios of spleen volume to total liver and to individual liver lobe volumes were calculated. In training cohort, univariate analyses and binary logistic regression analyses were to determine independent predictors. Performance of the model for predicting OVB constructed based on independent predictors from training cohort was evaluated by receiver operating characteristic (ROC) analysis, and was validated by Kappa test in validation cohort.

RESULTS

OVB occurred in 42 and 18 individuals in training and validation cohorts during the 2 years' follow-up, respectively. An OVB prediction model was constructed based on the independent predictors including right liver lobe volume (RV), left gastric vein diameter (LGVD) and portal vein diameter (PVD) (odds ratio = 0.993, 2.202 and 1.613, respectively; p-values < 0.001 for all). The logistic regression model equation (-0.007 × RV + 0.79 × LGVD + 0.478 × PVD-6.73) for predicting OVB obtained excellent performance with an area under ROC curve of 0.907. The excellent performance was confirmed by Kappa test with K-value of 0.802 in validation cohort.

CONCLUSION

The novel logistic regression model can be reliable for predicting OVB.

KEY POINTS

• Patients with oesophagogastric variceal bleeding are mainly characterized by decreased right lobe volume, and increased spleen volume and diameters of portal vein system. • The right liver lobe volume, left gastric vein diameter and portal vein diameter are the independent predictors of oesophagogastric variceal bleeding. • The novel model developed based on the independent predictors performed well in predicting oesophagogastric variceal bleeding with an area under the receiver operating characteristic curve of 0.907.

摘要

目的

基于磁共振成像(MRI)测量的肝脏/脾脏体积和门静脉直径,开发一种新型逻辑回归模型,用于预测乙型肝炎病毒(HBV)肝硬化继发的食管胃静脉曲张出血(OVB)。

方法

185例连续接受腹部对比增强MRI检查的乙型肝炎肝硬化患者被随机分为训练队列(n = 130)和验证队列(n = 55)。在MRI上测量脾脏体积、肝脏总体积、四个肝叶体积以及门静脉系统直径。计算脾脏体积与肝脏总体积以及与各个肝叶体积的比值。在训练队列中,进行单因素分析和二元逻辑回归分析以确定独立预测因素。通过受试者工作特征(ROC)分析评估基于训练队列中的独立预测因素构建的预测OVB模型的性能,并在验证队列中通过Kappa检验进行验证。

结果

在2年的随访期间,训练队列和验证队列中分别有42例和18例发生OVB。基于包括右肝叶体积(RV)、胃左静脉直径(LGVD)和门静脉直径(PVD)在内的独立预测因素构建了一个OVB预测模型(比值比分别为0.993、2.202和1.613;所有p值均<0.001)。用于预测OVB的逻辑回归模型方程(-0.007×RV + 0.79×LGVD + 0.478×PVD - 6.73)表现出色,ROC曲线下面积为0.907。在验证队列中通过Kappa检验得到了证实,K值为0.802。

结论

新型逻辑回归模型在预测OVB方面可能是可靠的。

关键点

• 食管胃静脉曲张出血患者的主要特征是右叶体积减小,脾脏体积和门静脉系统直径增加。• 右肝叶体积、胃左静脉直径和门静脉直径是食管胃静脉曲张出血的独立预测因素。• 基于独立预测因素开发的新型模型在预测食管胃静脉曲张出血方面表现良好,受试者工作特征曲线下面积为0.907。

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