Assessing diagnostic accuracy of intravascular imaging for functionally significant coronary stenosis: updated findings from a meta-analysis

  • Published on 01/06/2025
  •  Reading time: 5 min.

Fabrizio D'Ascenzo1,2, Riccardo Improta3,4, Federico Giacobbe1,2, Gianluca Di Pietro3,4, Daniela Zugna5, Stefano Siliano1,2, Marco Gatti6, Francesco Bruno2, Tsunekazu Kakuta7, Seung-Jea Tahk8, Tomasz Pawlowski9, Francesco Burzotta10, Riccardo Faletti6, Gennaro Sardella3,4, Gaetano Maria Deferrari1,2, Massimo Mancone3,4, Ovidio De Filippo2

1Department of Medical Sciences, University of Turin, Turin, Italy
2Division of Cardiology, Cardiovascular and Thoracic Department, "Citta della Salute e della Scienza" Hospital, Turin, Italy
3Department of Internal, Clinical, Anesthesiological and Cardiovascular Sciences, La Sapienza University, Rome, Italy
4Division of Cardiovascular Diseases, Cardio-thoracic-vascular and Organ Transplantation Surgery Department, Umberto I Hospital, Rome, Italy
5Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
6Department of Surgical Sciences, Radiology Unit, University of Turin, Turin, Italy
7Tsuchiura Kyodo General Hospital, Tokyo Medical and Dental University, Tokyo, Japan
8Department of Cardiology, Ajou University School of Medicine, Suwon, Republic of Korea
9Department of Invasive Cardiology, Central Clinical Hospital of the Ministry of Interior, Warsaw, Poland
10Cardiovascular and Thoracic Sciences, Catholic University of the Sacred Heart - Faculty of Medicine and Surgery, Rome, Italy

Correspondence to Dr Ovidio De Filippo; ovidio.defilippo@gmail.com

Abstract

Background Accurate discrimination of functionally significant coronary stenosis using intravascular imaging remains uncertain, particularly with regard to vessel size. This meta-analysis evaluates the diagnostic performance of intravascular ultrasound (IVUS) and optical coherence tomography (OCT) for identifying functionally significant coronary stenosis as confirmed by fractional flow reserve (FFR).
Methods A systematic search of PubMed, Scopus and Google...

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