Background: Computed tomography (CT)–based myocardial extracellular volume (ECV) assessment during transcatheter aortic valve implantation (TAVI) planning is prognostically informative but limited by operator-dependent workflows. We developed a fully automated, standardized pipeline for volumetric ECV quantification and a derived metric reflecting the burden of myocardial extracellular matrix expansion (hECV-B) and evaluated their association with clinical outcomes after TAVI. Methods: In a single-centre study of consecutive pre-TAVI cardiac CT examinations (10/2020–12/2023), a standardized pipeline performed automated cardiac segmentation, reorientation, co-registration and subtraction of late post-contrast and pre-contrast scans, and volumetric ECV mapping. hECV-B was defined as the fraction of left-ventricular voxels above prespecified ECV thresholds. Agreement between automated and manual (two radiologists) ECV was assessed with Bland–Altman analysis. Associations with a composite of all-cause death or heart-failure hospitalization at 12 months were evaluated using Kaplan–Meier/log-rank and multivariable Cox models adjusted for clinical and echocardiographic covariates. Results: Of 664 screened patients, 438 were analysed (221 women and 217 men; median age 82 years). End-to-end processing was ≤4.5 ​min/patient. The composite outcome occurred in 74 patients (16.9%). Bland–Altman analysis showed negligible mean bias (<1%), with wider limits of agreement (−11.3%–13.1%). Elevated automated whole-LV ECV and hECV-B were independently associated with adverse outcomes, with risk predominantly concentrated at higher ECV values. Conclusion: Fully automated CT-derived ECV and hECV-B assessment is feasible at scale and provides operator-independent markers of myocardial extracellular expansion associated with adverse outcomes after TAVI, supporting its potential role in standardized pre-procedural risk stratification in aortic stenosis.

Automatic CT-based quantification of myocardial extracellular volume fraction and high ECV burden and their prognostic value for death and heart failure in patients with aortic stenosis: a real-world data analysis / Colombo, A., Palmisano, A., Gnasso, C., Vignale, D., Bruno, E., Liberotti, M., Metra, M., Montorfano, M., Maisano, F., Tacchetti, C., Esposito, A.. - In: JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY. - ISSN 1934-5925. - 20:3(2026), pp. 247-255. [10.1016/j.jcct.2026.03.002]

Automatic CT-based quantification of myocardial extracellular volume fraction and high ECV burden and their prognostic value for death and heart failure in patients with aortic stenosis: a real-world data analysis

Palmisano A.
Secondo
;
Gnasso C.;Vignale D.;Bruno E.;Metra M.;Montorfano M.;Maisano F.;Tacchetti C.
Penultimo
;
Esposito A.
Ultimo
2026-01-01

Abstract

Background: Computed tomography (CT)–based myocardial extracellular volume (ECV) assessment during transcatheter aortic valve implantation (TAVI) planning is prognostically informative but limited by operator-dependent workflows. We developed a fully automated, standardized pipeline for volumetric ECV quantification and a derived metric reflecting the burden of myocardial extracellular matrix expansion (hECV-B) and evaluated their association with clinical outcomes after TAVI. Methods: In a single-centre study of consecutive pre-TAVI cardiac CT examinations (10/2020–12/2023), a standardized pipeline performed automated cardiac segmentation, reorientation, co-registration and subtraction of late post-contrast and pre-contrast scans, and volumetric ECV mapping. hECV-B was defined as the fraction of left-ventricular voxels above prespecified ECV thresholds. Agreement between automated and manual (two radiologists) ECV was assessed with Bland–Altman analysis. Associations with a composite of all-cause death or heart-failure hospitalization at 12 months were evaluated using Kaplan–Meier/log-rank and multivariable Cox models adjusted for clinical and echocardiographic covariates. Results: Of 664 screened patients, 438 were analysed (221 women and 217 men; median age 82 years). End-to-end processing was ≤4.5 ​min/patient. The composite outcome occurred in 74 patients (16.9%). Bland–Altman analysis showed negligible mean bias (<1%), with wider limits of agreement (−11.3%–13.1%). Elevated automated whole-LV ECV and hECV-B were independently associated with adverse outcomes, with risk predominantly concentrated at higher ECV values. Conclusion: Fully automated CT-derived ECV and hECV-B assessment is feasible at scale and provides operator-independent markers of myocardial extracellular expansion associated with adverse outcomes after TAVI, supporting its potential role in standardized pre-procedural risk stratification in aortic stenosis.
2026
Aortic valve stenosis
Extracellular volume
Image processing, Computer-assisted
Prognosis
Tomography, X-Ray computed
Transcatheter aortic valve replacement
Aortic valve stenosis
Extracellular volume
Image processing, Computer-assisted
Prognosis
Tomography, X-Ray computed
Transcatheter aortic valve replacement
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11768/201937
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