Detection of pulmonary hypertension in idiopathic pulmonary fibrosis using random forest models and automated measures of central computed tomography structures
The RF model with volumetric measures showed superior predictive performance for PH. Notably, both the RF model and segmentations of central CT structures are automated, facilitating seamless integration into clinical practice.
Authors
- Raúl San Jośe Estépar (ORCID: https://orcid.org/0000-0002-3677-1996)
- Farbod N. Rahaghi (ORCID: https://orcid.org/0000-0003-0419-9670)
- R. San José Estépar (ORCID: https://orcid.org/0000-0002-7095-2432)
- Toru Shirahata (ORCID: https://orcid.org/0000-0002-8975-6618)
- Eileen M. Harder (ORCID: https://orcid.org/0000-0003-1085-6024)
- Aaron B. Waxman (ORCID: https://orcid.org/0000-0001-7797-0361)
- Pietro Nardelli (ORCID: https://orcid.org/0000-0003-4280-558X)
- Ariel H. Curiale (ORCID: https://orcid.org/0000-0003-3102-4374)
- George R. Washko (ORCID: https://orcid.org/0000-0002-2712-0569)
- Sydney B. Montesi (ORCID: https://orcid.org/0000-0002-5724-6808)
- Rebecca Vanderpool (ORCID: https://orcid.org/0000-0001-6038-0568)
- Rajan Saggar (ORCID: https://orcid.org/0000-0002-5536-5934)
- Sirus Jesudasen (ORCID: https://orcid.org/0000-0002-2962-1228)
- Badar Patel (ORCID: https://orcid.org/0009-0004-3051-8772)
Institutions
- Brigham and Women's Hospital (US)
- Beth Israel Deaconess Medical Center (US)
- Harvard University (US)
- University of California, Los Angeles (US)
- University of California System (US)
- Massachusetts General Hospital (US)
- Saitama Medical University Hospital (JP)
- The Ohio State University (US)
Publication Details
- Journal
- ERJ Open Research
- Published
- 2025-02-27
- DOI
- https://doi.org/10.1183/23120541.01057-2024
- Primary Topic
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- National Heart, Lung, and Blood Institute
- NIH Clinical Center