Noninvasive assessment of pulmonary vascular resistance: a synergistic approach using computed tomography pulmonary angiography and echocardiography in pulmonary hypertension
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background: Pulmonary vascular resistance (PVR) is essential in managing pulmonary hypertension (PH) and has prompted the search for noninvasive assessment techniques. This study investigates the integration of morphological parameters from computed tomography pulmonary angiography (CTPA) and functional parameters from transthoracic echocardiography (TTE) to develop a noninvasive method for evaluating PVR in patients with PH. Methods: Data from PH patients who underwent CTPA, TTE, and right heart catheterization (RHC) were analyzed retrospectively. The Cobb angle, defined as the angle between the spine and interventricular septum, was calculated by CTPA. It is assumed that thorax geometry, pericardial morphology, and body surface area (BSA) are factors influencing the Cobb angle measurement, and these factors were adjusted for in the analysis. Multiple linear regression was performed to evaluate the multivariate ability to predict PVR. Multivariate Cox regression analysis assessed the prognostic value of parameters in predicting hospitalization for heart failure. Results: =0.634, P<0.001) and was effective across different demographics. After multivariable adjustment, the Cobb angle [hazard ratio (HR): 1.057; P<0.001], Cobb angle/BSA (HR: 1.087; P<0.001), tricuspid annular plane systolic excursion (TAPSE) (HR: 0.878; P=0.014), RVOT-AT (HR: 0.968; P=0.030), and right ventricular myocardial performance index (RVMPI) (HR: 5.324; P<0.001) remained significant independent predictors of heart failure. Conclusions: The integration of BSA-adjusted morphological markers from CTPA with hemodynamic parameters derived from TTE provides a promising noninvasive method for predicting PVR and demonstrates significant prognostic value in evaluating heart failure in PH patients.
Authors: Junqing Ma, Wenting Li, Sunan Xu, Ruichen Ren, Xiaopei Cui, Yongze Zheng, Yan Deng, Yongfeng Liang, Yang Zhang
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4413369221
