Predictive Value of Spectral Computed Tomography Parameters in Esophageal Variceal Rupture and Bleeding in Cirrhosis

Background: To evaluate the value of the spectral CT parameters in predicting the risk of esophageal variceal bleeding in cirrhosis with portal hypertension and to provide a reference for clinical diagnosis and treatment. Methods: Seventy-eight patients were divided into an esophageal variceal bleeding group and a non- esophageal variceal bleeding group. A comparison of variables including age, gender, platelet count, Child–Pugh classification, and spectral parameters between the 2 groups was done. Baseline model and spectral model were constructed with conventional parameters and conventional parameters coupled with spectral parameters, respectively. The 2 models were analyzed by the Receiver Operating Characteristic (ROC) curve. Results: The baseline model was established based on 4 conventional parameters and evaluated by ROC curve analysis. The spectral model was constructed based on the variables in the baseline combined with normalized iodine density in the liver parenchyma for the arterial phase, normalized iodine density in the liver parenchyma for the portal phase, normalized iodine density in the splenic parenchyma for the portal phase, diameter of the main portal vein, diameter of the splenic vein, and normalized iodine density of the left gastric vein. Normalized iodine density of the left gastric vein, normalized iodine density in the liver parenchyma for the portal phase, and Child–Pugh classification were the influencing factors of esophageal variceal bleeding in cirrhosis patients. The Area Under Curve (AUC) for the baseline and spectral models were compared (0.664 vs. 0.860) and the difference was found to be statistically significant (P < .001). Conclusions: The use of spectral CT parameters in consort with the conventional parameters can improve the diagnostic effectiveness of esophageal variceal bleeding in cirrhosis cases and screen for high-risk esophageal variceal bleeding patients. It may also provide an objective basis for the clinical prevention and treatment of esophageal variceal bleeding.

[1]  猪口 貞樹 Correction: UK guidelines on the management of variceal haemorrhage in cirrhotic patients , 2022, Gut.

[2]  Junlin Zhou,et al.  Dual-energy computed tomography for non-invasive prediction of the risk of oesophageal variceal bleeding with hepatitis B cirrhosis , 2021, Abdominal Radiology.

[3]  D. Srivastava,et al.  Noninvasive Staging of Liver Fibrosis Using 5-Minute Delayed Dual-Energy CT: Comparison with US Elastography and Correlation with Histologic Findings. , 2021, Radiology.

[4]  Yiguang Lin,et al.  The Prognosis Analysis of Liver Cirrhosis with Acute Variceal Bleeding and Validation of Current Prognostic Models: A Large Scale Retrospective Cohort Study , 2020, BioMed research international.

[5]  David Chellini,et al.  Dual-Energy CT Principles and Applications. , 2020, Radiologic technology.

[6]  G. Keramida,et al.  Stimulation of the hepatic arterial buffer response using exogenous adenosine: hepatic rest/stress perfusion imaging , 2020, European Radiology.

[7]  Y. Gao,et al.  [Quantitative assessment of hepatic and splenic blood flow status in patients with hypersplenism of different degrees based on multi-slice spiral CT whole-liver perfusion imaging]. , 2020, Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology.

[8]  F. Bendtsen,et al.  Pathophysiological-based treatments of complications of cirrhosis , 2020, Scandinavian journal of gastroenterology.

[9]  Dustin Becker,et al.  Model Assisted Analysis of the Hepatic Arterial Buffer Response During Ex Vivo Porcine Liver Perfusion , 2020, IEEE Transactions on Biomedical Engineering.

[10]  A. Gadano,et al.  What's new in portal hypertension? , 2020, Liver international : official journal of the International Association for the Study of the Liver.

[11]  Xinjun Han,et al.  Assessing Liver Hemodynamics in Children With Cholestatic Cirrhosis by Use of Dual-Energy Spectral CT. , 2020, AJR. American journal of roentgenology.

[12]  G. Squadrito,et al.  Dual-source dual-energy CT in the evaluation of hepatic fractional extracellular space in cirrhosis , 2019, La radiologia medica.

[13]  Lei Wang,et al.  Iodine density Changes in Hepatic and Splenic Parenchyma in Liver Cirrhosis with Dual Energy CT (DECT): A Preliminary Study. , 2019, Academic radiology.

[14]  G. Garcia‐Tsao,et al.  Screening and Surveillance of Varices in Patients With Cirrhosis. , 2019, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

[15]  Jin Mo Goo,et al.  Dual-Energy CT: New Horizon in Medical Imaging , 2017, Korean journal of radiology.

[16]  G. D’Amico,et al.  Natural history and prognostic indicators of survival in cirrhosis: a systematic review of 118 studies. , 2006, Journal of hepatology.

[17]  K. Kowdley,et al.  Prediction of varices in patients with cirrhosis: a high-stakes numbers game? , 2002, Journal of clinical gastroenterology.

[18]  Xiao‐Yu Yin,et al.  Color Doppler velocity profile assessment of portal hemodynamics in cirrhotic patients with portal hypertension: Correlation with esophageal variceal bleeding , 2001, Journal of clinical ultrasound : JCU.

[19]  R. Jalan,et al.  UK guidelines on the management of variceal haemorrhage in cirrhotic patients , 2000, Gut.