Cargando…
Non-invasive detection of severe PH in lung disease using magnetic resonance imaging
INTRODUCTION: Severe 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 utili...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149807/ https://www.ncbi.nlm.nih.gov/pubmed/37139140 http://dx.doi.org/10.3389/fcvm.2023.1016994 |
_version_ | 1785035225185648640 |
---|---|
author | Alkhanfar, Dheyaa Dwivedi, Krit Alandejani, Faisal Shahin, Yousef Alabed, Samer Johns, Chris Garg, Pankaj Thompson, A. A. Roger Rothman, Alexander M. K. Hameed, Abdul Charalampopoulos, Athanasios Wild, Jim M. Condliffe, Robin Kiely, David G. Swift, Andrew J. |
author_facet | Alkhanfar, Dheyaa Dwivedi, Krit Alandejani, Faisal Shahin, Yousef Alabed, Samer Johns, Chris Garg, Pankaj Thompson, A. A. Roger Rothman, Alexander M. K. Hameed, Abdul Charalampopoulos, Athanasios Wild, Jim M. Condliffe, Robin Kiely, David G. Swift, Andrew J. |
author_sort | Alkhanfar, Dheyaa |
collection | PubMed |
description | INTRODUCTION: Severe 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. METHODS: 167 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. RESULTS: The 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 < 0.0001), sensitivity 92.3%, specificity 70.2%, PPV 77.4%, and NPV 89.2%. The Whitfield model also had high accuracy in the test cohort (area under the ROC curve (0.92) (p < 0.0001), sensitivity 80.8%, specificity 87.2%, PPV 87.5%, and NPV 80.4%. CONCLUSION: The CLD-PH MRI model and Whitfield model have high accuracy to detect severe PH in CLD, and have strong prognostic value. |
format | Online Article Text |
id | pubmed-10149807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101498072023-05-02 Non-invasive detection of severe PH in lung disease using magnetic resonance imaging Alkhanfar, Dheyaa Dwivedi, Krit Alandejani, Faisal Shahin, Yousef Alabed, Samer Johns, Chris Garg, Pankaj Thompson, A. A. Roger Rothman, Alexander M. K. Hameed, Abdul Charalampopoulos, Athanasios Wild, Jim M. Condliffe, Robin Kiely, David G. Swift, Andrew J. Front Cardiovasc Med Cardiovascular Medicine INTRODUCTION: Severe 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. METHODS: 167 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. RESULTS: The 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 < 0.0001), sensitivity 92.3%, specificity 70.2%, PPV 77.4%, and NPV 89.2%. The Whitfield model also had high accuracy in the test cohort (area under the ROC curve (0.92) (p < 0.0001), sensitivity 80.8%, specificity 87.2%, PPV 87.5%, and NPV 80.4%. CONCLUSION: The CLD-PH MRI model and Whitfield model have high accuracy to detect severe PH in CLD, and have strong prognostic value. Frontiers Media S.A. 2023-04-17 /pmc/articles/PMC10149807/ /pubmed/37139140 http://dx.doi.org/10.3389/fcvm.2023.1016994 Text en © 2023 Alkhanfar, Dwivedi, Alandejani, Shahin, Alabed, Johns, Garg, Thompson, Rothman, Hameed, Charalampopoulos, Wild, Condliffe, Kiely and Swift. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cardiovascular Medicine Alkhanfar, Dheyaa Dwivedi, Krit Alandejani, Faisal Shahin, Yousef Alabed, Samer Johns, Chris Garg, Pankaj Thompson, A. A. Roger Rothman, Alexander M. K. Hameed, Abdul Charalampopoulos, Athanasios Wild, Jim M. Condliffe, Robin Kiely, David G. Swift, Andrew J. Non-invasive detection of severe PH in lung disease using magnetic resonance imaging |
title | Non-invasive detection of severe PH in lung disease using magnetic resonance imaging |
title_full | Non-invasive detection of severe PH in lung disease using magnetic resonance imaging |
title_fullStr | Non-invasive detection of severe PH in lung disease using magnetic resonance imaging |
title_full_unstemmed | Non-invasive detection of severe PH in lung disease using magnetic resonance imaging |
title_short | Non-invasive detection of severe PH in lung disease using magnetic resonance imaging |
title_sort | non-invasive detection of severe ph in lung disease using magnetic resonance imaging |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149807/ https://www.ncbi.nlm.nih.gov/pubmed/37139140 http://dx.doi.org/10.3389/fcvm.2023.1016994 |
work_keys_str_mv | AT alkhanfardheyaa noninvasivedetectionofseverephinlungdiseaseusingmagneticresonanceimaging AT dwivedikrit noninvasivedetectionofseverephinlungdiseaseusingmagneticresonanceimaging AT alandejanifaisal noninvasivedetectionofseverephinlungdiseaseusingmagneticresonanceimaging AT shahinyousef noninvasivedetectionofseverephinlungdiseaseusingmagneticresonanceimaging AT alabedsamer noninvasivedetectionofseverephinlungdiseaseusingmagneticresonanceimaging AT johnschris noninvasivedetectionofseverephinlungdiseaseusingmagneticresonanceimaging AT gargpankaj noninvasivedetectionofseverephinlungdiseaseusingmagneticresonanceimaging AT thompsonaaroger noninvasivedetectionofseverephinlungdiseaseusingmagneticresonanceimaging AT rothmanalexandermk noninvasivedetectionofseverephinlungdiseaseusingmagneticresonanceimaging AT hameedabdul noninvasivedetectionofseverephinlungdiseaseusingmagneticresonanceimaging AT charalampopoulosathanasios noninvasivedetectionofseverephinlungdiseaseusingmagneticresonanceimaging AT wildjimm noninvasivedetectionofseverephinlungdiseaseusingmagneticresonanceimaging AT condlifferobin noninvasivedetectionofseverephinlungdiseaseusingmagneticresonanceimaging AT kielydavidg noninvasivedetectionofseverephinlungdiseaseusingmagneticresonanceimaging AT swiftandrewj noninvasivedetectionofseverephinlungdiseaseusingmagneticresonanceimaging |