The Philips Angio-iFR medical software device is intended to provide information on the functional significance of a coronary artery lesion to provide guidance on diagnostic decisions similar to that obtained through invasive measures of iFR and FFR. The software application uses the vessel geometry obtained from a coronary angiographic image together with a lumped parameter physiological model to provide the associated iFR and FFR estimates.
This study is intended to demonstrate the diagnostic performance of the image-derived physiology model using the invasive physiological measures as the reference standard. Specific objectives include the following: i) Demonstrate the sensitivity and specificity of image-derived iFR and FFR results for identifying functionally significant lesions as determined by the corresponding invasive measures; ii) Demonstrate the diagnostic agreement of image-derived iFR and FFR estimates with the corresponding invasive measures; iii) Demonstrate the diagnostic performance of image derived physiology estimate (iFR/FFR) is superior to visual angiographic assessment for the identification of functionally significant stenoses as determined by the corresponding invasive physiology measures; iv) Demonstrate reproducibility of the image-derived estimate for a given operator and across multiple operators for a given lesion.
Study Type
OBSERVATIONAL
Enrollment
441
Patients will undergo standard of care diagnostic coronary angiography using established invasive physiological criteria for iFR and FFR to aid in clinical decision making for coronary revascularization. Angiograms will be made in at least two projections, and the treating physician will record his/her estimation of stenosis severity. Resting iFR and Pd/Pa measures will then be made distal to the target lesion; adenosine will be administered, and the FFR measures will be made without moving the wire. An iFR pullback will then be made after hyperemia as abated. Patients will be treated or deferred from treatment based on physician decision aided by the iFR measures.
Diagnostic accuracy of the image-derived iFR
Diagnostic accuracy of the image-derived iFR and FFR estimate for a given lesion compared to the corresponding invasive iFR and FFR values.
Time frame: 1 day
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