A stepwise strategy integrating dynamic stress CT myocardial perfusion and deep learning-based FFR in the work-up of stable coronary artery disease
Creators
- 1. The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong (China)
- 2. Department of Radiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong (China)
Description
To validate a novel stepwise strategy in which computed tomography-derived fractional flow reserve (FFR) is restricted to intermediate stenosis on coronary computed tomography angiography (CCTA) and computed tomography myocardial perfusion imaging (CT-MPI) was reserved for vessels with gray zone FFR values. This retrospective study included 87 consecutive patients (age, 58 ± 10 years; 70% male) who underwent CCTA, dynamic CT-MPI, interventional coronary angiography (ICA), and fractional flow reserve (FFR) for suspected or known coronary artery disease. FFR was computed using a deep learning-based platform. Three stepwise strategies (CCTA + FFR + CT-MPI, CCTA + FFR, CCTA + CT-MPI) were constructed and their diagnostic performance was evaluated using ICA/FFR as the reference standard. The proportions of vessels requiring further ICA/FFR measurement based on different strategies were noted. Furthermore, the net reclassification index (NRI) was calculated to ascertain the superior model. The CCTA + FFR + CT-MPI strategy yielded the lowest proportion of vessels requiring additional ICA/FFR measurement when compared to the CCTA + FFR and CCTA + CT-MPI strategies (12%, 22%, and 24%). The CCTA + FFR + CT-MPI strategy exhibited the highest accuracy for ruling-out (91%, 84%, and 85%) and ruling-in (90%, 85%, and 85%) functionally significant lesions. All strategies exhibited comparable sensitivity for ruling-out functionally significant lesions and specificity for ruling-in functionally significant lesions (p > 0.05). The NRI indicated that the CCTA + FFR + CT-MPI strategy outperformed the CCTA + FFR strategy (NRI = 0.238, p < 0.001) and the CCTA + CT-MPI strategy (NRI = 0.233%, p < 0.001). The CCTA + FFR + CT-MPI stepwise strategy was superior to the CCTA + FFR strategy and CCTA+ CT-MPI strategy by minimizing unnecessary invasive diagnostic catheterization without compromising the agreement rate with ICA/FFR. Our novel stepwise strategy facilitates greater confidence and accuracy when clinicians need to decide on interventional coronary angiography referral or deferral, reducing the burden of invasive investigations on patients.
Additional details
Identifiers
Publishing Information
- Journal Title
- European Radiology (Internet)
- Journal Volume
- 34
- Journal Issue
- 8
- Journal Page Range
- p. 4939-4949
- ISSN
- 1432-1084
- CODEN
- EURAE3
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 55079723
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- ACCURACY; BLOOD FLOW; CHEST; CLINICAL TRIALS; COMPARATIVE EVALUATIONS; COMPUTERIZED TOMOGRAPHY; CORONARIES; DATA COMPILATION; DIAGNOSIS; IMAGE PROCESSING; MACHINE LEARNING; MYOCARDIUM; PAIN; PERFORMANCE; SENSITIVITY; SPECIFICITY; VASCULAR DISEASES
- Descriptors DEC
- ALGORITHMS; ARTERIES; ARTIFICIAL INTELLIGENCE; BLOOD VESSELS; BODY; CARDIOVASCULAR DISEASES; CARDIOVASCULAR SYSTEM; DATA; DATA PROCESSING; DIAGNOSTIC TECHNIQUES; DISEASES; EVALUATION; HEART; INFORMATION; LEARNING; MATHEMATICAL LOGIC; MUSCLES; ORGANS; PROCESSING; SYMPTOMS; TESTING; TOMOGRAPHY