AI-derived cardiothoracic structures and coronary artery calcification volumes on non-contrast CT as predictors of mortality in pulmonary hypertension

Abstract Objective To assess the prognostic value of AI-derived cardiothoracic structures and coronary artery calcification volumetric measurements in pulmonary hypertension (PH) using non-gated, non-contrast CT. Materials and methods Patients with suspected PH who underwent non-gated, non-contrast chest CT and right heart catheterisation within one month were retrospectively identified from the Assessing the Spectrum of PH Identified at a Referral Centre (ASPIRE) registry. Two validated deep learning models were used to segment and measure the volumes of cardiothoracic structures and coronary artery calcifications. The prognostic value of AI-derived cardiothoracic structures and coronary artery calcification volumetric measurements was assessed using univariable and multivariable Cox regression adjusted for demographics and PH subgroups and REVEAL scores. Results Six hundred twenty patients were included (mean age 64 ± 13 years; 62% female; 388 patients died during follow-up), comprising 202 patients with pulmonary arterial hypertension, 84 with PH-LHD, 112 with PH associated with lung disease, 65 with chronic thromboembolic PH, 9 with unclear PH, and 148 patients without PH. Calcifications were present in the right coronary artery (RCA), mainstem and left anterior descending artery (LAD), and left circumflex artery (LCX) in 45%, 67%, and 35% of patients, respectively. In multivariable Cox regression analysis adjusted for age, sex, and PH subgroup, right atrial (RA) volume was independently associated with mortality (HR 1.024, 95% CI: 1.009–1.039, p = 0.001), as were coronary artery calcifications in the RCA (HR 1.378, 95% CI: 1.113–1.705, p = 0.003), mainstem and LAD (HR 1.868, 95% CI: 1.441–2.421, p < 0.001), and LCX (HR 1.342, 95% CI: 1.084–1.660, p = 0.007). After further adjustment for the REVEAL risk score, these associations remained significant (RA volume HR 1.026, RCA calcification HR 1.604, mainstem and LAD calcification HR 2.339, LCX calcification HR 1.576; all p < 0.001). Conclusion AI-derived RA volume and coronary artery calcifications are independently associated with increased mortality in PH patients. Key Points Question The prognostic significance of AI-derived cardiothoracic volumes and coronary artery calcification measured on routine non-gated, non-contrast chest CT in patients with PH remains uncertain. Findings AI-derived RA volume and coronary artery calcification volumes independently predicted mortality in PH patients, even after adjustment for demographics, PH subgroups, and REVEAL score. Relevance statement Automated CT-based AI measurements can provide additional prognostic biomarkers to improve risk stratification in PH beyond established clinical scores.

Authors

Publication Details

Journal
European Radiology Cardiovascular and Thoracic
Published
2026-11-03
DOI
https://doi.org/10.1007/s44449-026-00005-2
Primary Topic
Pulmonary Hypertension Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-derived cardiothoracic structures and coronary artery calcification volumes on non-contrast CT as predictors of mortality in pulmonary hypertension

David Gerard Kiely, Alireza Hokmabadi, Andrew J. Swift, Michael J. Sharkey et al.
European Radiology Cardiovascular and Thoracic
Pulmonary Hypertension Research and Treatments
article

AI-derived cardiothoracic structures and coronary artery calcification volumes on non-contrast CT as predictors of mortality in pulmonary hypertension

David Gerard Kiely, Alireza Hokmabadi, Andrew J. Swift, Michael J. Sharkey, Samer Alabed, Turki Nasser Alnasser
article en

Abstract

Abstract Objective To assess the prognostic value of AI-derived cardiothoracic structures and coronary artery calcification volumetric measurements in pulmonary hypertension (PH) using non-gated, non-contrast CT. Materials and methods Patients with suspected PH who underwent non-gated, non-contrast chest CT and right heart catheterisation within one month were retrospectively identified from the Assessing the Spectrum of PH Identified at a Referral Centre (ASPIRE) registry. Two validated deep learning models were used to segment and measure the volumes of cardiothoracic structures and coronary artery calcifications. The prognostic value of AI-derived cardiothoracic structures and coronary artery calcification volumetric measurements was assessed using univariable and multivariable Cox regression adjusted for demographics and PH subgroups and REVEAL scores. Results Six hundred twenty patients were included (mean age 64 ± 13 years; 62% female; 388 patients died during follow-up), comprising 202 patients with pulmonary arterial hypertension, 84 with PH-LHD, 112 with PH associated with lung disease, 65 with chronic thromboembolic PH, 9 with unclear PH, and 148 patients without PH. Calcifications were present in the right coronary artery (RCA), mainstem and left anterior descending artery (LAD), and left circumflex artery (LCX) in 45%, 67%, and 35% of patients, respectively. In multivariable Cox regression analysis adjusted for age, sex, and PH subgroup, right atrial (RA) volume was independently associated with mortality (HR 1.024, 95% CI: 1.009–1.039, p = 0.001), as were coronary artery calcifications in the RCA (HR 1.378, 95% CI: 1.113–1.705, p = 0.003), mainstem and LAD (HR 1.868, 95% CI: 1.441–2.421, p < 0.001), and LCX (HR 1.342, 95% CI: 1.084–1.660, p = 0.007). After further adjustment for the REVEAL risk score, these associations remained significant (RA volume HR 1.026, RCA calcification HR 1.604, mainstem and LAD calcification HR 2.339, LCX calcification HR 1.576; all p < 0.001). Conclusion AI-derived RA volume and coronary artery calcifications are independently associated with increased mortality in PH patients. Key Points Question The prognostic significance of AI-derived cardiothoracic volumes and coronary artery calcification measured on routine non-gated, non-contrast chest CT in patients with PH remains uncertain. Findings AI-derived RA volume and coronary artery calcification volumes independently predicted mortality in PH patients, even after adjustment for demographics, PH subgroups, and REVEAL score. Relevance statement Automated CT-based AI measurements can provide additional prognostic biomarkers to improve risk stratification in PH beyond established clinical scores.

European Radiology Cardiovascular and ThoracicVol. 1(1)
Openalex Percentile: Top 13%
Pulmonary Hypertension Research and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon