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

• Published in: Cardiovascular revascularization medicine 2023-09, Vol.54, p.33-38
• Main Authors: Bass, Ronald D., García-García, Héctor M., Ueki, Yasushi, Holmvang, Lene, Pedrazzini, Giovanni, Roffi, Marco, Koskinas, Konstantinos C., Shibutani, Hiroki, Losdat, Sylvain, Ziemer, Paulo G.P., Blanco, Pablo J., Levine, Molly B., Bourantas, Christos V., Räber, Lorenz
• Format: Article
• Language: English
• Subjects: Coronary artery disease; Intravascular ultrasound; Lumen segmentation; Machine learning; Vessel segmentation
• ISSN: 1553-8389; 1878-0938
• DOI: 10.1016/j.carrev.2023.04.007

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. 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. 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