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

15 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

Funding

The study was supported by General Research Fund (Reference No. 14117414 ), Research Grant Council of Hong Kong ; and Focused Innovations Scheme B and the Institute of Innovative Medicine , The Chinese University of Hong Kong , China. The funding sources were not involved in study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.

Keywords

Computational fluid dynamics
Computed tomography angiography
Fractional flow
Intracranial stenosis

ASJC Scopus subject areas

Neurology
Clinical Neurology

Access to Document

10.1016/j.jns.2017.08.3239

Cite this

@article{9abbee69b0494af0a6923291f382f6b2,

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",

month = oct,

day = "15",

doi = "10.1016/j.jns.2017.08.3239",

language = "English",

volume = "381",

pages = "150--152",

journal = "Journal of the Neurological Sciences",

issn = "0022-510X",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Noninvasive fractional flow in intracranial atherosclerotic stenosis

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

UR - https://www.scopus.com/pages/publications/85028390668

U2 - 10.1016/j.jns.2017.08.3239

DO - 10.1016/j.jns.2017.08.3239

M3 - Letter

C2 - 28991669

AN - SCOPUS:85028390668

SN - 0022-510X

VL - 381

SP - 150

EP - 152

JO - Journal of the Neurological Sciences

JF - Journal of the Neurological Sciences

ER -

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

Abstract

Funding

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this