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Stress Computed Tomography Perfusion Versus Fractional Flow Reserve CT Derived in Suspected Coronary Artery Disease: The PERFECTION Study

  • Gianluca Pontone*
  • , Andrea Baggiano
  • , Daniele Andreini
  • , Andrea I. Guaricci
  • , M. Guglielmo
  • , Giuseppe Muscogiuri
  • , L. Fusini
  • , F. Fazzari
  • , S. Mushtaq
  • , Edoardo Conte
  • , Giuseppe Calligaris
  • , Stefano De Martini
  • , Cristina Ferrari
  • , Stefano Galli
  • , Luca Grancini
  • , P. Ravagnani
  • , Giovanni Teruzzi
  • , Daniela Trabattoni
  • , Franco Fabbiocchi
  • , Alessandro Lualdi
  • P. Montorsi, Mark G. Rabbat, Antonio L. Bartorelli, M. Pepi
*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Objectives: This study sought to compare the diagnostic accuracy of coronary computed tomography angiography (cCTA) with that of cCTA+fractional flow reserve derived from cCTA datasets (FFRCT) and that of cCTA+static stress-computed tomography perfusion (stress-CTP) in detecting functionally significant coronary artery lesions using invasive coronary angiography (ICA) plus invasive FFR as the reference standard. Background: FFRCT and static stress-CTP are new techniques that combine anatomy and functional evaluation to improve assessment of coronary artery disease (CAD) using cCTA. Methods: A total of 147 consecutive symptomatic patients scheduled for clinically indicated ICA+invasive FFR were evaluated with cCTA, FFRCT, and stress-CTP. Results: Vessel-based and patient-based sensitivity, specificity, and negative predictive values, and positive predictive values, and accuracy rates of cCTA were 99%, 76%, 100%, 61%, 82%, and 95%, 54%, 94%, 63%, 73%, respectively. cCTA+FFRCT showed vessel-based and patient-based sensitivity, specificity, and negative predictive values, and positive predictive values and accuracy rates of 88%, 94%, 95%, 84%, 92%, and 90%, 85%, 92%, 83%, 87%, respectively. Finally, cCTA+stress-CTP showed vessel-based and patient-based sensitivity, specificity, and negative predictive values, and positive predictive values and accuracy rates of 92%, 95%, 97%, 87%, 94% and 98%, 87%, 99%, 86%, 92%, respectively. Both FFRCT and stress-CTP significantly improved specificity and positive predictive values compared to those of cCTA alone. The area under the curve to detect flow-limiting stenoses of cCTA, cCTA+FFRCT, and cCTA+CTP were 0.89, 0.93, 0.92, and 0.90, 0.94, and 0.93 in a vessel-based and patient-based model, respectively, with significant additional values for both cCTA+FFRCT and cCTA+CTP versus cCTA alone (p < 0.001) but no differences between cCTA+FFRCT versus cCTA+CTP. Conclusions: FFRCT and stress-CTP in addition to cCTA are valid and comparable tools to evaluate the functional relevance of CAD.

Original languageEnglish
Pages (from-to)1487-1497
Number of pages11
JournalJACC: Cardiovascular Imaging
Volume12
Issue number8P1
DOIs
Publication statusPublished - Aug 2019
Externally publishedYes

Keywords

  • accuracy
  • computed tomography
  • coronary artery disease
  • fractional flow reserve
  • perfusion

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