ArticleEuropean journal of radiology open2025
Cardiac MRI-derived ventricular-pulmonary arterial coupling predicts outcomes in connective tissue disease-associated pulmonary arterial hypertension patients.
Article in European journal of radiology open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Pulmonary ParenchymalJournal of clinical medicine · 2026Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: To evaluate the prognostic value of cardiovascular magnetic resonance (CMR) parameters in patients with connective tissue disease-associated pulmonary arterial hypertension (CTD-PAH). Materials and methods: This retrospective cohort study involved 135 patients with documented CTD-PAH. Cardiac functional parameters including right ventricle end-diastolic volume index (RVEDVI), end-systolic volume index (RVESVI), stroke volume index (RVSVI), ejection fraction (RVEF), and SV/ESV; the volumetric parameter; T1 mapping and late gadolinium enhancement (LGE) parameters; strain parameters like RV global longitudinal strain(GLS); and hemodynamics parameters like mean velocity at the pulmonary artery (mvPA) and PA relative area change (PA RAC) were calculated from CMR images. Survival analysis was conducted using Kaplan-Meier and Cox regression. The endpoint was the occurrence of clinical deterioration events. Results: The median follow-up time was 22.27 months (interquartile range: 11.5-31.9 months).RVIP ECV, RVGLS, RVEDVI, RVESVI, RVMI, and RAA, as well as mvPA, SV/ESV, RVEF, and PA RAC, were associated with adverse outcomes. SV/ESV ≤ 0.55, RV GLS > -12.1 %, and PA RAC≤ 16.1 % were significant independent predictors of prognosis. The combined parameters provided incremental prognostic value over COMPERA 2.0 (area under the curve (AUC) from 0.771 to 0.899; P = 0.001).And time-dependent ROC curve confirmed the predictive efficiency of the combined parameters in year 3, with the AUC reaching 0.821(95 % CI: 0.698-0.945). Conclusion: Multiparametric CMR provides a non-invasive, efficient method to assess prognosis in CTD-PAH patients. Key parameters including SV/ESV, RV GLS, and PA RAC significantly predicted survival and confer incremental prognostic utility over COMPERA 2.0, offering reliable prognostic markers for clinical interventions.
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