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

doi:10.1016/j.jns.2017.08.3239

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 journal › Letter › peer-review

6 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 language	English
Pages (from-to)	150-152
Number of pages	3
Journal	Journal of the Neurological Sciences
Volume	381
Early online date	22 Aug 2017
DOIs	https://doi.org/10.1016/j.jns.2017.08.3239
Publication status	Published - 15 Oct 2017
Externally published	Yes

Keywords

Computational fluid dynamics
Computed tomography angiography
Fractional flow
Intracranial stenosis

ASJC Scopus subject areas

Neurology
Clinical Neurology

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10.1016/j.jns.2017.08.3239

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Noninvasive fractional flow in intracranial atherosclerotic stenosis : Reproducibility, limitations, and perspectives. / Leng, Xinyi; Lan, Linfang; Ip, Vincent H.L.; Liu, Haipeng; Abrigo, Jill; Liebeskind, David S.; Wong, Lawrence K.S.; Leung, Thomas W.

In: Journal of the Neurological Sciences, Vol. 381, 15.10.2017, p. 150-152.

Research output: Contribution to journal › Letter › peer-review

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

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 ].",

keywords = "Computational fluid dynamics, Computed tomography angiography, Fractional flow, Intracranial stenosis",

author = "Xinyi Leng and Linfang Lan and Ip, {Vincent H.L.} and Haipeng Liu and Jill Abrigo and Liebeskind, {David S.} and Wong, {Lawrence K.S.} and Leung, {Thomas W.}",

year = "2017",

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T2 - Reproducibility, limitations, and perspectives

AU - Leng, Xinyi

AU - Lan, Linfang

AU - Ip, Vincent H.L.

AU - Liu, Haipeng

AU - Abrigo, Jill

AU - Liebeskind, David S.

AU - Wong, Lawrence K.S.

AU - Leung, Thomas W.

PY - 2017/10/15

Y1 - 2017/10/15

N2 - 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 ].

AB - 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 ].

KW - Computational fluid dynamics

KW - Computed tomography angiography

KW - Fractional flow

KW - Intracranial stenosis

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U2 - 10.1016/j.jns.2017.08.3239

DO - 10.1016/j.jns.2017.08.3239

M3 - Letter

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EP - 152

JO - Journal of the Neurological Sciences

JF - Journal of the Neurological Sciences

SN - 0022-510X

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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