Evidence map›Paper›PMID 25676350›Full record

ArticleJournal of magnetic resonance imaging : JMRI2015

Optimization of phase-contrast MRI for the quantification of whole-brain cerebral blood flow.

Shin-Lei Peng, Pan Su, Fu-Nien Wang, Yan Cao, Rong Zhang, Hanzhang Lu, Peiying Liu

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
5.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 69 citations in OpenAlex.

  1. Phase contrast mapping MRI measurements of global cerebral blood flow across different perfusion states - A direct comparison withJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019
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  16. VICTR: Venous transit time imaging by changes in TMagnetic resonance in medicine · 2024
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  20. Cerebral blood flow and cerebrovascular resistance across the adult lifespan: A multimodality approach.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 6 institutions in 2 countries.

Shin-Lei PengDepartment of Radiology, Johns Hopkins University, Baltimore, Maryland, USA.
Pan SuDepartment of Radiology, Johns Hopkins University, Baltimore, Maryland, USA.
Fu-Nien WangDepartment of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan.
Yan CaoDepartment of Mathematical Sciences, University of Texas at Dallas, Richardson, Texas, USA.
Rong ZhangInstitute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital Dallas, Dallas, Texas, USA.
Hanzhang LuDepartment of Radiology, Johns Hopkins University, Baltimore, Maryland, USA.
Peiying LiuDepartment of Radiology, Johns Hopkins University, Baltimore, Maryland, USA.
Johns Hopkins University · USAdvanced Imaging Research (United States) · USNational Tsing Hua University · TWTexas Health Dallas · USThe University of Texas at Dallas · USThe University of Texas Southwestern Medical Center · US

Funding

Normalized functional MRI in human brain disordersR01MH084021 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI LU, HANZHANG · 2008 to 2017
$3.6M
Modulation of brain activity by control of the inspired airR01NS067015 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI LU, HANZHANG · 2010 to 2013
$1.5M
Cognition and cerebrovascular function across the lifespanR01AG042753 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI LU, HANZHANG · 2013 to 2015
$841k
Quantification of brain metabolic rate in neonates using MRIR21NS085634 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI LIU, PEIYING · 2014 to 2015
$441k
NIA NIH HHS R01 AG042753NIMH NIH HHS R01 MH084021NINDS NIH HHS R01 NS067015NINDS NIH HHS R21 NS085634
6 · The paper itself

Abstract

backgroundWhole-brain cerebral blood flow (CBF) measured by phase-contrast MRI (PC-MRI) provides an important index for brain function. This work aimed to optimize the PC-MRI imaging protocol for accurate CBF measurements.

methodsTwo studies were performed on a 3 Tesla system. In Study 1 (N = 12), we optimized in-plane resolution of PC-MRI acquisition for CBF quantification by considering accuracy, precision, and scan duration. In Study 2 (N = 7), we assessed the detrimental effect of nonperpendicular imaging slice orientation on CBF quantification. Both One-way analysis of variance with repeated measurement and Friedman test were used to examine the effects of resolution and angulation on CBF quantification. Additionally, we evaluated the inter-rater reliability in PC-MRI data processing.

resultsOur results showed that CBF measurement with 0.7 mm resolution could be overestimated by up to 13.3% when compared with 0.4 mm resolution. Moreover, CBF could also be overestimated by up to 18.8% when the slice orientation is deviated by 30° from the ideal angulation. However, within 10° of the ideal slice orientation, estimated CBF was not significantly different from each other (P = 0.23 and 0.45 for internal carotid artery and vertebral artery, respectively). Inter-rater difference was <3%.

conclusionFor fast and accurate quantification of whole-brain CBF with PC-MRI, we recommend the use of an imaging resolution of 0.5 mm and a slice orientation that is less than 10° from vessel's axial plane.

Indexed as

AdultBlood Flow VelocityBrainCerebrovascular CirculationFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedMagnetic Resonance AngiographyMaleMiddle AgedReproducibility of ResultsSensitivity and Specificityblood flow quantificationcerebral blood flowflow velocitypartial voluming effectphase-contrast MRI

Identifiers

PMID25676350
PMCPMC4532651
OpenAlexW2104806005

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.