Noninvasive fractional flow in intracranial atherosclerotic stenosis: Reproducibility, limitations, and perspectives

Xinyi Leng, Linfang Lan, Vincent H.L. Ip, Haipeng Liu, Jill Abrigo, David S. Liebeskind, Lawrence K.S. Wong, Thomas W. Leung

Research output: Contribution to journalLetter

4 Citations (Scopus)

Abstract

During the past 2 decades, fractional flow reserve (FFR) obtained at percutaneous coronary angiography that denotes pressure gradient across coronary artery stenosis has been considered diagnostic of ischemia-causing lesions and useful in guiding revascularization and prognostication [ 1 ]. FFR derived noninvasively, from computational fluid dynamics (CFD) models based on CT angiography (CTA), has been suggested of a moderate-to-high diagnostic accuracy (0.69 to 0.86) in detecting ischemia-causing coronary stenoses with reference to the invasive FFR
[ 2 ].
Original languageEnglish
Pages (from-to)150-152
Number of pages3
JournalJournal of the Neurological Sciences
Volume381
Early online date22 Aug 2017
DOIs
Publication statusPublished - 15 Oct 2017
Externally publishedYes

Keywords

  • Computational fluid dynamics
  • Computed tomography angiography
  • Fractional flow
  • Intracranial stenosis

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

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