Initial evaluation of three-dimensionally printed patient-specific coronary phantoms for CT-FFR software validation

We developed three-dimensionally (3D) printed patient-specific coronary phantoms that are capable of sustaining physiological flow and pressure conditions. We assessed the accuracy of these phantoms from coronary CT acquisition, benchtop experimentation, and CT-FFR software. Five patients with coron...

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Veröffentlicht in:Journal of medical imaging (Bellingham, Wash.) Wash.), 2019-04, Vol.6 (2), p.021603-021603
Hauptverfasser: Shepard, Lauren M, Sommer, Kelsey N, Angel, Erin, Iyer, Vijay, Wilson, Michael F, Rybicki, Frank J, Mitsouras, Dimitrios, Molloi, Sabee, Ionita, Ciprian N
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Sprache:eng
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Zusammenfassung:We developed three-dimensionally (3D) printed patient-specific coronary phantoms that are capable of sustaining physiological flow and pressure conditions. We assessed the accuracy of these phantoms from coronary CT acquisition, benchtop experimentation, and CT-FFR software. Five patients with coronary artery disease underwent 320-detector row coronary CT angiography (CCTA) (Aquilion ONE, Canon Medical Systems) and a catheter lab procedure to measure fractional flow reserve (FFR). The aortic root and three main coronary arteries were segmented (Vitrea, Vital Images) and 3D printed (Eden 260V, Stratasys). Phantoms were connected into a pulsatile flow loop, which replicated physiological flow and pressure gradients. Contrast was introduced and the phantoms were scanned using the same CT scanner model and CCTA protocol as used for the patients. Image data from the phantoms were input to a CT-FFR research software (Canon Medical Systems) and compared to those derived from the clinical data, along with comparisons between image measurements and benchtop FFR results. Phantom diameter measurements were within 1 mm on average compared to patient measurements. Patient and phantom CT-FFR results had an absolute mean difference of 4.34% and Pearson correlation of 0.95. We have demonstrated the capabilities of 3D printed patient-specific phantoms in a diagnostic software.
ISSN:2329-4302
2329-4310
DOI:10.1117/1.JMI.6.2.021603