Radiomics Detection of Pulmonary Hypertension via Texture-Based Assessments of Cardiac MRI: A Machine-Learning Model Comparison—Cardiac MRI Radiomics in Pulmonary Hypertension

Radiomics Detection of Pulmonary Hypertension via Texture-Based Assessments of Cardiac MRI: A Machine-Learning Model Comparison—Cardiac MRI Radiomics in Pulmonary Hypertension

The role of reliable, non-invasive imaging-based recognition of pulmonary hypertension (PH) remains a diagnostic challenge. The aim of the current pilot radiomics study was to assess the diagnostic performance of cardiac MRI (cMRI)-based texture features to accurately predict PH. The study involved...

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Bibliographic Details
Main Authors: Sarv Priya, Tanya Aggarwal, Caitlin Ward, Girish Bathla, Mathews Jacob, Alicia Gerke, Eric A. Hoffman, Prashant Nagpal
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Journal of Clinical Medicine
Subjects:
cardiac MRI
radiomics
pulmonary hypertension
machine learning
texture
Online Access:https://www.mdpi.com/2077-0383/10/9/1921

Internet

https://www.mdpi.com/2077-0383/10/9/1921

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