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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
Hao  WuHao Wu1*Yingnan  SongYingnan Song1Ammar  HooriAmmar Hoori1Juhwan  LeeJuhwan Lee1Sadeer  Al-KindiSadeer Al-Kindi2Wei-Ming  HuangWei-Ming Huang3Chun-Ho  YunChun-Ho Yun3Chung-Lieh  HungChung-Lieh Hung4Sanjay  RajagopalanSanjay Rajagopalan2David  Lynn WilsonDavid Lynn Wilson1*
  • 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

The final, formatted version of the article will be published soon.

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

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