Assessing the Severity and Prognosis in PAH Using Magnetic Resonance Imaging and NT-proBNP

dc.contributor.advisorSwift, Andy J
dc.contributor.advisorKiely, David G
dc.contributor.authorAlandejani, Faisal Abdulwahab
dc.date.accessioned2023-06-05T10:21:07Z
dc.date.available2023-06-05T10:21:07Z
dc.date.issued2022
dc.description.abstractPulmonary arterial hypertension (PAH) is a progressive, life-threatening condition characterised by pulmonary vascular resistance and associated with severe outcomes. According to the European Society of Cardiology and European Respiratory Society (ESC/ERS) guidelines, the risk assessment and prognosis of PAH are reliant on multiple investigations, including cardiac magnetic resonance imaging (MRI) and N-terminal prohormone brain natriuretic peptide (NT-proBNP). The overall aim of this body of work was to investigate the clinical benefit of cardiac MRI including artificial intelligence (AI) approaches, and NT-proBNP to assess the right atrium (RA) and right ventricle (RV) for severity assessment and prognosis in PAH. A cardiac MRI-based automated AI analysis of the RA and RV was developed, and the AI failure rate of the model was tested. Repeatability and agreement of contours of automated cardiac MRI analysis of the RA were evaluated. The prognostic significance of AI RV and AI RA area and their utility to risk stratify patients with PAH have been identified and compared with one another. The importance and relationship between automated cardiac MRI and NT-proBNP in PAH have been highlighted. The work has shown that cardiac MRI RV and RA area measurements can be fully automated using AI with a very low failure rate. The variability of AI-derived RA area measurements was lower than manual measurements in a scan-rescan cohort. Manual and automated RA area measurements moderately correlate with invasive haemodynamics. NT-proBNP showed a moderate correlation when compared to automated RV function. Measures of RV function and RA area have prognostic value; nonetheless, only measures of RV function but not ESC/ERS RA area thresholds identify patients at low-risk of 1-year mortality. Finally, the need for further work exploring larger cohorts with NT-proBNP and cardiac MRI measurements to investigate the incremental value of different approaches when assessing the right ventricle has been recommended.
dc.format.extent170
dc.identifier.urihttps://hdl.handle.net/20.500.14154/68276
dc.language.isoen
dc.subjectPulmonary arterial hypertension
dc.subjectRight atrial area
dc.subjectRight ventricular
dc.subjectCardiac MRI
dc.subjectNT-proBNP
dc.subjectClinical testing
dc.subjectRepeatability assessment
dc.subjectMortality prediction
dc.subjectRisk stratification
dc.subjectEuropean Society of Cardiology and European Respiratory Society guidelines
dc.subjectConvolutional neural networks
dc.subjectArtificial intelligence
dc.subjectDeep learning training
dc.titleAssessing the Severity and Prognosis in PAH Using Magnetic Resonance Imaging and NT-proBNP
dc.typeThesis
sdl.degree.departmentDepartment of Infection, Immunity and Cardiovascular Disease
sdl.degree.disciplinePulmonary Arterial Hypertension
sdl.degree.grantorThe University of Sheffield
sdl.degree.nameDoctor of Philosophy

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