149 QUANTIFICATION OF FIBROCALCIFIC VOLUME IN AORTIC VALVE STENOSIS BY A NOVEL CONTRAST COMPUTED TOMOGRAPHY METHOD BASED ON A GAUSSIAN MIXTURE MODEL. (15th December 2022)

• Record Type: Journal Article
• Authors: Lembo, Maria; Joshi, Shruti J; Carnevale, Lorenzo; Bing, Rong; Tzolos, Evangelos; Barton, Anna K; Geers, Jolien; Pawade, Tania A; Newby, David E; Dey, Damini; Dweck, Marc R
• Is Part Of: European heart journal supplements. Volume 24(2022)Supplement K
• Publication Date: 2022-12-15
• Subjects: Cardiology -- Periodicals; Cardiology -- Europe -- Periodicals; 616.12005
• DOI: 10.1093/eurheartjsupp/suac121.203
• Languages: English
• ISSNs: 1520-765X

Abstract

Abstract: Background: Discordant echocardiographic measurements are observed in up to one third of patients with aortic stenosis (AS), in whom computed tomography (CT) derived aortic valve calcium scoring is now recommended. Nonetheless, CT calcium scoring only evaluates calcific valve thickening and is unable to assess non-calcific fibrotic thickening, which could be a relevant contributor of AS. Aim of the present study was to generate a quick and robust contrast-CT method based on a gaussian mixture model (GMM) for the assessment of fibro-calcific aortic valve thickening in AS patients, and to investigate its reproducibility and associations with echocardiographic parameters of AS severity and disease progression. Methods: A post-hoc analysis of 136 patients with calcific AS (24 with severe, 81 moderate and 31 mild AS) enrolled in the SALTIRE2 trial (Study Investigating the Effects of Drugs used to Treat Osteoporosis on the Progression of Aortic Stenosis) (NCT-02132026) was performed. Aortic valve fibrocalcific volume was calculated using a GMM applied on contrast-CT at baseline and at 1-year follow up. The software estimated the Hounsfield Units (HU) distribution of 3 compartments (blood pool, non-calcific and calcific tissue) within the aortic valve volume of interest, automatically generating thresholds for non-calcific and calcific volumes, respectively computed as the lower 99.7 and the upper 99.7 percentile of the blood pool HU distribution (Figure). Thus, Fibrocalcific volume was measured as the sum of non-calcific and calcific volumes, indexed for CT annulus area and compared to echo parameters of AS severity. Scan-rescan reproducibility and analysis of AS progression were also assessed. Results: Image analysis took 5.8 ± 1.0 minutes per scan and showed excellent scan-rescan reproducibility (mean difference -1%, limits of agreement -9% to 7%). Indexed-fibrocalcific volume correlated well with echocardiographic aortic peak velocity (rho=0.70, p<0.0001), better than non-calcific and calcific volumes alone (rho=0.30 and rho=0.61 respectively, both p<0.0001) and Agatston calcium score (rho=0.63, p<0.0001). Baseline indexed-fibrocalcific volume was also the strongest predictor of subsequent AS progression in terms of change in aortic valve peak velocity (rho=0.29, p=0.006) and mean gradient (rho=0.39, p<0.0001). Progression-to-noise ratio for fibrocalcific volume was favourable (Cohen's statistic d=0.62), indicating that groups sizes of 21, 46 and 170 participants would be required to demonstrate 30%, 20% and 10% reductions in fibro-calcific volume progression with a novel drug respectively (alpha=0.05, power=80%). Conclusions: This contrast CT-based approach based on a GMM is able to provide robust and relatively rapid assessment of fibrocalcific thickening in patients with AS. Fibrocalcific volume measured using this method, correlates well with other markers of AS severity, predicts disease progression and holds promise in tracking disease progression and response to novel therapies.