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Diagnostic Performance of Artificial Intelligence-Based Angiography-Derived Non-Hyperemic Pressure Ratio Using
Hiroyuki Omori1,2, Yoshiaki Kawase1, Takuya Mizukami1,3
1Department of Cardiovascular Medicine, Gifu Heart Center.
Artificial intelligence-derived non-hyperemic pressure ratio (angioNHPR) accurately detects coronary artery disease without pressure wires. This novel AI tool shows diagnostic performance comparable to invasive methods, improving non-invasive assessments.
Area of Science:
- Cardiology
- Medical Imaging
- Artificial Intelligence in Medicine
Background:
- The angiography-derived non-hyperemic pressure ratio (angioNHPR) is a novel index for assessing coronary artery disease.
- It utilizes artificial intelligence (AI) and does not require invasive pressure wires.
Purpose of the Study:
- To investigate the diagnostic accuracy of angioNHPR for detecting hemodynamically relevant coronary artery disease.
- To compare angioNHPR performance against invasive non-hyperemic pressure ratio (NHPR).
Main Methods:
- Retrospective single-center study involving 222 vessels from 178 patients.
- AI software automatically segmented lumen and centerline from two angiographic projections.
- angioNHPR was calculated and compared with invasive NHPR as the reference standard.
Main Results:
- angioNHPR demonstrated an accuracy of 76.6% and an area under the curve (AUC) of 0.81.
- It showed good correlation (r=0.72) and agreement with invasive NHPR.
- The AUC of angioNHPR was significantly higher than 2D quantitative coronary angiography (0.69).
Conclusions:
- AI-based angioNHPR shows good diagnostic performance for detecting physiologically significant stenosis.
- This non-invasive method offers a promising alternative to pressure wire-based assessments.
- angioNHPR represents a significant advancement in non-invasive coronary artery disease evaluation.
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