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Application of CT-Based Radiomics in Predicting Portal Pressure and Patient Outcome in Portal Hypertension
44 Pages Posted: 18 Jun 2019
More...Abstract
Purpose: Portal venous pressure (PVP) is of clinical significance, especially in patients with portal hypertension. However, the invasive nature and associated complications limits its application. The aim of the study is to propose a noninvasive predictive model of PVP values based on CT-extracted radiomic features.
Methods: Radiomics PVP (rPVP) models based on liver, spleen and combined features were established on an experimental cohort of 169 subjects. A validation cohort of 62 patients treated for gastroesopaheal varices (GOV) was used to cofirm the utlity of rPVP in predicting variceal recurrence.
Results: rPVP results from all three models were significantly correlated to patient response to endoscopic treatment for GOV. Among which, the model containing both liver and spleen features has the highest predictability of variceal recurrence, with an optimal cut-off value at 29.102mmHg (AUC 0.866). A Kaplan Meier analysis further confirmed the difference between patients with varying rPVP values.
Conclusion: PVP values can be accurately predicted by a non-invasiave, CT derived radiomics model. rPVP serves as a non-invsavie and precise reference for predicting treatment outcome for GOV secondary to portal hypertension.
Funding: This study was supported by the Innovation Fund of Shanghai Scientific Committee (No. 15411950501).
Declaration of Interest: No authors have a conflict of interest, financial or others, to declare.
Ethical Approval: The present study was approved by the Ethics Committee of Zhongshan Hospital, Fudan University (B2015-133R).
Keywords: portal venous pressure; radiomics; esophageal and gastric varices; portal hypertension
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