ORIGINAL RESEARCH article
Front. Cardiovasc. Med.
Sec. Cardiovascular Imaging
Volume 12 - 2025 | doi: 10.3389/fcvm.2025.1621443
Quantitative cardiac CT perfusion: physiologically-inspired model and identifying microvascular disease from discordant CTA CAD-RADS
Provisionally accepted- 1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, United States
- 2Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, United States
- 3Department of Radiology, MacKay Memorial Hospital, Taipei, Taiwan
- 4Department of Internal Medicine, MacKay Memorial Hospital, Taipei, Taiwan
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Objective. Use our advanced, physiologically inspired cardiac CT perfusion (CCTP) software to distinguish ischemia due to obstructive disease versus microvascular disease (MVD). Background. Previously validated advanced CCTP methods were used. We interpreted results to identify flow-limiting stenosis (i.e., obstructive-lesion & low myocardial blood flow (MBF)) versus microvascular disease (i.e., no-obstructive-lesion & low-MBF). Methods. We retrospectively evaluated 104 patients with suspected CAD, including 18 with diabetes, who underwent CCTA+CCTP. Whole heart and territorial MBF was assessed using our automated pipeline for CCTP analysis that included beam hardening correction; temporal scan registration; automated segmentation; fast, accurate, robust MBF estimation; and visualization. Stenosis severity was scored using the CCTA coronary-artery-disease-reporting-and-data-system (CAD-RADS), with obstructive stenosis deemed as CAD-RADS≥3. Results. We established a threshold MBF (MBF=200-mL/min-100g) for normal perfusion. In patients with CAD-RADS≥3 (obstructive disease), 28/37(76%) patients showed ischemia in the corresponding territory. On a per-vessel basis (n=256), MBF showed a significant difference between territories with and without obstructive stenosis (165±61 mL/min-100g vs. 274±62 mL/min-100g, p<0.05). A significant negative rank correlation (ρ=-0.53, p<0.05) between territory MBF and CAD-RADS was seen. Two patients with obstructive disease had normal perfusion, suggesting collaterals and/or hemodynamically insignificant stenosis. Among diabetics, 10 of 18 (56%) demonstrated diffuse ischemia consistent with MVD. Among non-diabetics, only 6% had MVD. Sex-specific prevalence of MVD was 21%/24% (M/F). Conclusion. CCTA in conjunction with a new automated quantitative CCTP approach can determine the distinction of ischemia due to obstructive lesions versus MVD.
Keywords: cardiac CT perfusion, deep learning, image processing, Coronary CT angiography, flow-limiting stenosis, microvascular disease
Received: 01 May 2025; Accepted: 21 Oct 2025.
Copyright: © 2025 Wu, Song, Hoori, Lee, Al-Kindi, Huang, Yun, Hung, Rajagopalan and Wilson. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Hao Wu, hxw352@case.edu
David Lynn Wilson, david.wilson@case.edu
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.