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Diagnosis of Pulmonary Hypertension with Cardiac MRI: Derivation and Validation of Regression Models

PURPOSE: To derive and test multiparametric cardiac MRI models for the diagnosis of pulmonary hypertension (PH). MATERIALS AND METHODS: Images and patient data from consecutive patients suspected of having PH who underwent cardiac MRI and right-sided heart catheterization (RHC) between 2012 and 2016...

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Autores principales: Johns, Christopher S., Kiely, David G., Rajaram, Smitha, Hill, Catherine, Thomas, Steven, Karunasaagarar, Kavitasagary, Garg, Pankaj, Hamilton, Neil, Solanki, Roshni, Capener, David A., Elliot, Charles, Sabroe, Ian, Charalamopopoulos, Athanasios, Condliffe, Robin, Wild, James M., Swift, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Radiological Society of North America 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6314564/
https://www.ncbi.nlm.nih.gov/pubmed/30351254
http://dx.doi.org/10.1148/radiol.2018180603
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author Johns, Christopher S.
Kiely, David G.
Rajaram, Smitha
Hill, Catherine
Thomas, Steven
Karunasaagarar, Kavitasagary
Garg, Pankaj
Hamilton, Neil
Solanki, Roshni
Capener, David A.
Elliot, Charles
Sabroe, Ian
Charalamopopoulos, Athanasios
Condliffe, Robin
Wild, James M.
Swift, Andrew J.
author_facet Johns, Christopher S.
Kiely, David G.
Rajaram, Smitha
Hill, Catherine
Thomas, Steven
Karunasaagarar, Kavitasagary
Garg, Pankaj
Hamilton, Neil
Solanki, Roshni
Capener, David A.
Elliot, Charles
Sabroe, Ian
Charalamopopoulos, Athanasios
Condliffe, Robin
Wild, James M.
Swift, Andrew J.
author_sort Johns, Christopher S.
collection PubMed
description PURPOSE: To derive and test multiparametric cardiac MRI models for the diagnosis of pulmonary hypertension (PH). MATERIALS AND METHODS: Images and patient data from consecutive patients suspected of having PH who underwent cardiac MRI and right-sided heart catheterization (RHC) between 2012 and 2016 were retrospectively reviewed. Of 2437 MR images identified, 603 fit the inclusion criteria. The mean patient age was 61 years (range, 18–88 years; mean age of women, 60 years [range, 18–84 years]; mean age of men, 62 years [range, 22–88 years]). In the first 300 patients (derivation cohort), cardiac MRI metrics that showed correlation with mean pulmonary arterial pressure (mPAP) were used to create a regression algorithm. The performance of the model was assessed in the 303-patient validation cohort by using receiver operating characteristic (ROC) and χ(2) analysis. RESULTS: In the derivation cohort, cardiac MRI mPAP model 1 (right ventricle and black blood) was defined as follows: −179 + log(e) interventricular septal angle × 42.7 + log(10) ventricular mass index (right ventricular mass/left ventricular mass) × 7.57 + black blood slow flow score × 3.39. In the validation cohort, cardiac MRI mPAP model 1 had strong agreement with RHC-measured mPAP, an intraclass coefficient of 0.78, and high diagnostic accuracy (area under the ROC curve = 0.95; 95% confidence interval [CI]: 0.93, 0.98). The threshold of at least 25 mm Hg had a sensitivity of 93% (95% CI: 89%, 96%), specificity of 79% (95% CI: 65%, 89%), positive predictive value of 96% (95% CI: 93%, 98%), and negative predictive value of 67% (95% CI: 53%, 78%) in the validation cohort. A second model, cardiac MRI mPAP model 2 (right ventricle pulmonary artery), which excludes the black blood flow score, had equivalent diagnostic accuracy (ROC difference: P = .24). CONCLUSION: Multiparametric cardiac MRI models have high diagnostic accuracy in patients suspected of having pulmonary hypertension. Published under a CC BY 4.0 license. Online supplemental material is available for this article. See also the editorial by Colletti in this issue.
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spelling pubmed-63145642019-01-08 Diagnosis of Pulmonary Hypertension with Cardiac MRI: Derivation and Validation of Regression Models Johns, Christopher S. Kiely, David G. Rajaram, Smitha Hill, Catherine Thomas, Steven Karunasaagarar, Kavitasagary Garg, Pankaj Hamilton, Neil Solanki, Roshni Capener, David A. Elliot, Charles Sabroe, Ian Charalamopopoulos, Athanasios Condliffe, Robin Wild, James M. Swift, Andrew J. Radiology Original Research PURPOSE: To derive and test multiparametric cardiac MRI models for the diagnosis of pulmonary hypertension (PH). MATERIALS AND METHODS: Images and patient data from consecutive patients suspected of having PH who underwent cardiac MRI and right-sided heart catheterization (RHC) between 2012 and 2016 were retrospectively reviewed. Of 2437 MR images identified, 603 fit the inclusion criteria. The mean patient age was 61 years (range, 18–88 years; mean age of women, 60 years [range, 18–84 years]; mean age of men, 62 years [range, 22–88 years]). In the first 300 patients (derivation cohort), cardiac MRI metrics that showed correlation with mean pulmonary arterial pressure (mPAP) were used to create a regression algorithm. The performance of the model was assessed in the 303-patient validation cohort by using receiver operating characteristic (ROC) and χ(2) analysis. RESULTS: In the derivation cohort, cardiac MRI mPAP model 1 (right ventricle and black blood) was defined as follows: −179 + log(e) interventricular septal angle × 42.7 + log(10) ventricular mass index (right ventricular mass/left ventricular mass) × 7.57 + black blood slow flow score × 3.39. In the validation cohort, cardiac MRI mPAP model 1 had strong agreement with RHC-measured mPAP, an intraclass coefficient of 0.78, and high diagnostic accuracy (area under the ROC curve = 0.95; 95% confidence interval [CI]: 0.93, 0.98). The threshold of at least 25 mm Hg had a sensitivity of 93% (95% CI: 89%, 96%), specificity of 79% (95% CI: 65%, 89%), positive predictive value of 96% (95% CI: 93%, 98%), and negative predictive value of 67% (95% CI: 53%, 78%) in the validation cohort. A second model, cardiac MRI mPAP model 2 (right ventricle pulmonary artery), which excludes the black blood flow score, had equivalent diagnostic accuracy (ROC difference: P = .24). CONCLUSION: Multiparametric cardiac MRI models have high diagnostic accuracy in patients suspected of having pulmonary hypertension. Published under a CC BY 4.0 license. Online supplemental material is available for this article. See also the editorial by Colletti in this issue. Radiological Society of North America 2019-01 2018-10-23 /pmc/articles/PMC6314564/ /pubmed/30351254 http://dx.doi.org/10.1148/radiol.2018180603 Text en http://creativecommons.org/licenses/by/4.0/ Published under a (http://creativecommons.org/licenses/by/4.0/) CC BY 4.0 license.
spellingShingle Original Research
Johns, Christopher S.
Kiely, David G.
Rajaram, Smitha
Hill, Catherine
Thomas, Steven
Karunasaagarar, Kavitasagary
Garg, Pankaj
Hamilton, Neil
Solanki, Roshni
Capener, David A.
Elliot, Charles
Sabroe, Ian
Charalamopopoulos, Athanasios
Condliffe, Robin
Wild, James M.
Swift, Andrew J.
Diagnosis of Pulmonary Hypertension with Cardiac MRI: Derivation and Validation of Regression Models
title Diagnosis of Pulmonary Hypertension with Cardiac MRI: Derivation and Validation of Regression Models
title_full Diagnosis of Pulmonary Hypertension with Cardiac MRI: Derivation and Validation of Regression Models
title_fullStr Diagnosis of Pulmonary Hypertension with Cardiac MRI: Derivation and Validation of Regression Models
title_full_unstemmed Diagnosis of Pulmonary Hypertension with Cardiac MRI: Derivation and Validation of Regression Models
title_short Diagnosis of Pulmonary Hypertension with Cardiac MRI: Derivation and Validation of Regression Models
title_sort diagnosis of pulmonary hypertension with cardiac mri: derivation and validation of regression models
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6314564/
https://www.ncbi.nlm.nih.gov/pubmed/30351254
http://dx.doi.org/10.1148/radiol.2018180603
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