A multivariable model combining the elastic-to-muscular pulmonary artery area ratio with echocardiographic pulmonary arterial systolic pressure identified pulmonary hypertension with an AUC of 0.95.
Cohort (n=80)
Single-blind
No
Does the combination of EM-AR derived from 3D digital models and echocardiographic PASP accurately predict pulmonary hypertension in patients with suspected PH?
80 patients with suspected pulmonary hypertension
Elastic-to-muscular pulmonary artery area ratio (EM-AR) derived from 3D digital models, alone and combined with echocardiographic pulmonary arterial systolic pressure (PASP)
Invasive mean pulmonary arterial pressure (mPAP) from right heart catheterization (reference standard)
Diagnostic accuracy for predicting pulmonary hypertension (correlation with invasive mPAP and AUC)surrogate
Combining 3D-derived elastic-to-muscular pulmonary artery area ratio with echocardiographic PASP provides excellent diagnostic accuracy for the noninvasive prediction of pulmonary hypertension.
Effect estimate: AUC 0.95 (95% CI 0.90-0.99)
Absolute Event Rate: 0.95% vs 0.92%
p-value: p=0.032
Abstract Objectives This study aimed to evaluate the diagnostic accuracy of the elastic-to-muscular pulmonary artery area ratio (EM-AR) derived from 3D digital models for predicting pulmonary hypertension (PH), both alone and in combination with echocardiographic pulmonary arterial systolic pressure (PASP). Methods This retrospective diagnostic study enrolled 80 patients with suspected PH, using invasive mean pulmonary arterial pressure (mPAP) from right heart catheterization as the reference standard. Cross-sectional areas of elastic (third-order) and muscular (sixth-order) pulmonary arteries in the right lower lobe were measured from 3D digital models to calculate EM-AR. A multivariate linear regression model combining EM-AR and PASP was developed to predict mPAP (mPAP predicted ). Results Quantitative analysis revealed significant remodeling of the pulmonary arterial tree in the PH group, characterized by enlargement of elastic arteries ( p < 0.001), reduction in muscular artery area ( P < 0.001), and a consequent elevation in the EM-AR ( P < 0.001). The EM-AR showed the strongest correlation with invasive mPAP (r = 0.73, P < 0.001) compared to its individual components (elastic artery: r = 0.54, P < 0.001; muscular artery: r = − 0.52, P < 0.001). The composite mPAP, derived from a multiple linear regression model of EM-AR and PASP, correlated strongly with invasive mPAP (r = 0.82, P < 0.001) and achieved superior diagnostic accuracy for PH (AUC = 0.95). At the optimal cut-off of 23.9 mmHg, it identified PH with 83.1% sensitivity and 95.2% specificity. Conclusions The EM-AR derived from 3D-printed digital models appears to be a promising indicator of pulmonary vascular remodeling. In our cohort, a multivariable model combining EM-AR with echocardiographic PASP demonstrated excellent diagnostic performance for the noninvasive prediction of pulmonary hypertension.
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Gen Zhang
Suzhou Municipal Hospital
Jixiang Liang
China Academy of Printing Technology
Zhipeng Ren
Chinese Academy of Sciences
European journal of medical research
Xi'an Jiaotong University
Suzhou Municipal Hospital
Beijing City University
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Zhang et al. (Wed,) conducted a cohort in Suspected pulmonary hypertension (n=80). Composite model of elastic-to-muscular pulmonary artery area ratio (EM-AR) and echocardiographic PASP vs. EM-AR alone was evaluated on Diagnostic accuracy (AUC) for identifying pulmonary hypertension (AUC 0.95, 95% CI 0.90-0.99, p=0.032). A multivariable model combining the elastic-to-muscular pulmonary artery area ratio with echocardiographic pulmonary arterial systolic pressure identified pulmonary hypertension with an AUC of 0.95.
synapsesocial.com/papers/69fd7fcdbfa21ec5bbf0875e — DOI: https://doi.org/10.1186/s40001-026-04549-9