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Effect of High-Intensity Statin Therapy on Atherosclerosis (IBIS-4): Manual Versus Automated Methods of IVUS Analysis.

Authors :
Bass RD
García-García HM
Ueki Y
Holmvang L
Pedrazzini G
Roffi M
Koskinas KC
Shibutani H
Losdat S
Ziemer PGP
Blanco PJ
Levine MB
Bourantas CV
Räber L
Source :
Cardiovascular revascularization medicine : including molecular interventions [Cardiovasc Revasc Med] 2023 Sep; Vol. 54, pp. 33-38. Date of Electronic Publication: 2023 Apr 15.
Publication Year :
2023

Abstract

Aims: Standard manual analysis of IVUS to study the impact of anti-atherosclerotic therapies on the coronary vessel wall is done by a core laboratory (CL), the ground truth (GT). Automatic segmentation of IVUS with a machine learning (ML) algorithm has the potential to replace manual readings with an unbiased and reproducible method. The aim is to determine if results from a CL can be replicated with ML methods.<br />Methods: This is a post-hoc, comparative analysis of the IBIS-4 (Integrated Biomarkers and Imaging Study-4) study (NCT00962416). The GT baseline and 13-month follow-up measurements of lumen and vessel area and percent atheroma volume (PAV) after statin induction were repeated by the ML algorithm.<br />Results: The primary endpoint was change in PAV. PAV as measured by GT was 43.95 % at baseline and 43.02 % at follow-up with a change of -0.90 % (p = 0.007) while the ML algorithm measured 43.69 % and 42.41 % for baseline and follow-up, respectively, with a change of -1.28 % (p < 0.001). Along the most diseased 10 mm segments, GT-PAV was 52.31 % at baseline and 49.42 % at follow-up, with a change of -2.94 % (p < 0.001). The same segments measured by the ML algorithm resulted in PAV of 51.55 % at baseline and 47.81 % at follow-up with a change of -3.74 % (p < 0.001).<br />Conclusions: PAV, the most used endpoint in clinical trials, analyzed by the CL is closely replicated by the ML algorithm. ML automatic segmentation of lumen, vessel and plaque effectively reproduces GT and may be used in future clinical trials as the standard.<br />Competing Interests: Declaration of competing interest Héctor M. García-García reports the following Institutional grant support: Biotronik, Boston Scientific, Medtronic, Abbott, Neovasc, Shockwave, Phillips and Corflow; Speaker's fee from Boston Scientific and Amgen. Lorenz Räber reports institutional grant support: Abbott, Biotronik, Boston Scientific, Sanofi, Regeneron, Infraredx and consultation fees by Abbott, Amgen, AstraZeneca, Occlutec, Medtronic, Sanofi, Vifor. Marco Roffi reports institutional research grants from Terumo, Biotronik, Medtronic and Cordis/Cardinal Health.<br /> (Copyright © 2023 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1878-0938
Volume :
54
Database :
MEDLINE
Journal :
Cardiovascular revascularization medicine : including molecular interventions
Publication Type :
Academic Journal
Accession number :
37087308
Full Text :
https://doi.org/10.1016/j.carrev.2023.04.007