Sunday, November 25 | 10:55 a.m.-11:05 a.m. | SSA03-02 | Room S404AB
Both fractional flow reserve CT (FFR-CT) and CT perfusion are viable options for detecting stenosis in patients with coronary artery disease (CAD), though CT perfusion may be more accurate, according to researchers from Italy.The team of investigators, led by Dr. Giuseppe Muscogiuri from Centro Cardiologico Monzino in Milan, conducted a prospective study (the PERFECTION trial) comparing the value of stress coronary CT perfusion with that of FFR-CT for evaluating patients with suspected CAD.
Muscogiuri and colleagues examined 147 patients who presented with chest pain and were indicated for invasive coronary angiography and invasive FFR. Most of the patients also underwent coronary CT angiography (CCTA) and CT perfusion.
Overall, both the FFR-CT and CT perfusion measurements were better than CCTA alone at identifying stenoses of at least 80% in coronary vessels, with accuracies of at least 92%. However, CT perfusion demonstrated a slightly higher sensitivity, specificity, and accuracy than FFR-CT.
The high accuracy of FFR-CT may make CCTA plus FFR-CT sufficient for ruling out functionally relevant stenosis in patients suspected of having CAD, Muscogiuri told AuntMInnie.com. Nonetheless, it would also be reasonable to acquire a CT perfusion exam in addition to CCTA and FFR-CT, especially for the improved specificity.
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&dpr=2&fit=crop&h=167&q=70&w=250)
