| Title: |
Non-invasive detection of severe PH in lung disease using magnetic resonance imaging |
| Authors: |
Dheyaa Alkhanfar, Krit Dwivedi, Faisal Alandejani, Yousef Shahin, Samer Alabed, Chris Johns, Pankaj Garg, A. A. Roger Thompson, Alexander M. K. Rothman, Abdul Hameed, Athanasios Charalampopoulos, Jim M. Wild, Robin Condliffe, David G. Kiely, Andrew J. Swift |
| Source: |
Frontiers in Cardiovascular Medicine, Vol 10 (2023) |
| Publisher Information: |
Frontiers Media S.A., 2023. |
| Publication Year: |
2023 |
| Collection: |
LCC:Diseases of the circulatory (Cardiovascular) system |
| Subject Terms: |
severe PH, chronic lung disease (CLD), COPD, ILD, cardiac MRI, Diseases of the circulatory (Cardiovascular) system, RC666-701 |
| More Details: |
IntroductionSevere pulmonary hypertension (mean pulmonary artery pressure ≥35 mmHg) in chronic lung disease (PH-CLD) is associated with high mortality and morbidity. Data suggesting potential response to vasodilator therapy in patients with PH-CLD is emerging. The current diagnostic strategy utilises transthoracic Echocardiography (TTE), which can be technically challenging in some patients with advanced CLD. The aim of this study was to evaluate the diagnostic role of MRI models to diagnose severe PH in CLD.Methods167 patients with CLD referred for suspected PH who underwent baseline cardiac MRI, pulmonary function tests and right heart catheterisation were identified. In a derivation cohort (n = 67) a bi-logistic regression model was developed to identify severe PH and compared to a previously published multiparameter model (Whitfield model), which is based on interventricular septal angle, ventricular mass index and diastolic pulmonary artery area. The model was evaluated in a test cohort.ResultsThe CLD-PH MRI model [= (−13.104) + (13.059 * VMI)—(0.237 * PA RAC) + (0.083 * Systolic Septal Angle)], had high accuracy in the test cohort (area under the ROC curve (0.91) (p |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2297-055X |
| Relation: |
https://www.frontiersin.org/articles/10.3389/fcvm.2023.1016994/full; https://doaj.org/toc/2297-055X |
| DOI: |
10.3389/fcvm.2023.1016994 |
| Access URL: |
https://doaj.org/article/8a0b7e2af820457c84af45ea9b632f88 |
| Accession Number: |
edsdoj.8a0b7e2af820457c84af45ea9b632f88 |
| Database: |
Directory of Open Access Journals |
