Reproducibility of automated and manual determination of the pulmonary artery to aorta ratio (PA:A) of ‘real-world’ CT scans

The PA:A as a marker of acute exacerbations of COPD (AECOPD) was validated using research CT scans. Automation and validation using ‘real-world’ community-acquired CTs would facilitate uptake into clinical practice. We aimed to validate the reproducibility of the PA:A in a community practice-based study with raters (R) of varying levels of expertise and a semi-automated software (SlicerCIP, chestimagingplatform.org) against a thoracic radiologist (gold standard). Randomly selected CTs from a community practice database were anonymized. Two medical students (R1, R2) and a gynecologist (R3) performed between 4 and 3 consecutive randomized, blinded measures of the PA:A (trials). A general and a thoracic radiologist each performed 1 trial. R2 performed a Slicer-assisted trial. 33 CTs (18 contrast, 15 non-contrast) from 6 subjects (4 COPD, 1 asthma, 1 PH, 1M:5F, age 67 mean years(±16SD), PA:A ratio 0.86(±0.11)). Results are shown in Table1. <fig><object-id>erj;64/suppl_68/PA1657/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig> The PA:A of ‘real-world’ CTs exhibit excellent intra- and inter-rater agreement and reproducibility between radiologists matching those of research CTs. With experience, clinicians obtain similar results. While Slicer-assisted performance is less than expert radiologist and trained clinician, it is better than untrained clinician. Whether the PA:A of ‘real-world’ CTs will be equally predictive for AECOPD as that of research CT scans remains to be determined.

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Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.pa1657
Primary Topic
Hemodynamic Monitoring and Therapy
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article
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article

Reproducibility of automated and manual determination of the pulmonary artery to aorta ratio (PA:A) of ‘real-world’ CT scans

Henry Jason Biem, Raúl San Jośe Estépar, R. San José Estépar, Misha Fotovati et al.
Hemodynamic Monitoring and Therapy
article

Reproducibility of automated and manual determination of the pulmonary artery to aorta ratio (PA:A) of ‘real-world’ CT scans

Henry Jason Biem, Raúl San Jośe Estépar, R. San José Estépar, Misha Fotovati, Sandra Derksen Biem, Micheal Chad McInnis, Fadi Aris, Ronald J. Dandurand, Richard Pang, Paolo F. Medina, Luis Henry Gonzalez Torres
article en

Abstract

The PA:A as a marker of acute exacerbations of COPD (AECOPD) was validated using research CT scans. Automation and validation using ‘real-world’ community-acquired CTs would facilitate uptake into clinical practice. We aimed to validate the reproducibility of the PA:A in a community practice-based study with raters (R) of varying levels of expertise and a semi-automated software (SlicerCIP, chestimagingplatform.org) against a thoracic radiologist (gold standard). Randomly selected CTs from a community practice database were anonymized. Two medical students (R1, R2) and a gynecologist (R3) performed between 4 and 3 consecutive randomized, blinded measures of the PA:A (trials). A general and a thoracic radiologist each performed 1 trial. R2 performed a Slicer-assisted trial. 33 CTs (18 contrast, 15 non-contrast) from 6 subjects (4 COPD, 1 asthma, 1 PH, 1M:5F, age 67 mean years(±16SD), PA:A ratio 0.86(±0.11)). Results are shown in Table1. <fig><object-id>erj;64/suppl_68/PA1657/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig> The PA:A of ‘real-world’ CTs exhibit excellent intra- and inter-rater agreement and reproducibility between radiologists matching those of research CTs. With experience, clinicians obtain similar results. While Slicer-assisted performance is less than expert radiologist and trained clinician, it is better than untrained clinician. Whether the PA:A of ‘real-world’ CTs will be equally predictive for AECOPD as that of research CT scans remains to be determined.

University of Toronto (CA), McGill University Health Centre (CA), Lakeshore General Hospital (CA), Woman's Hospital (US), Université Laval (CA), McGill University (CA), Université de Montréal (CA)
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Hemodynamic Monitoring and Therapy
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