Evidence map›Paper›PMID 28492341›Full record

ReviewJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2017

Implications of neurovascular uncoupling in functional magnetic resonance imaging (fMRI) of brain tumors.

Rebecca W Pak, Darian H Hadjiabadi, Janaka Senarathna, Shruti Agarwal, Nitish V Thakor, Jay J Pillai, Arvind P Pathak

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  18. Tumour-infiltrated cortex participates in large-scale cognitive circuits.Cortex; a journal devoted to the study of the nervous system and behavior · 2024
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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.

Rebecca W Pak1 Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, USA.
Darian H Hadjiabadi1 Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, USA.
Janaka Senarathna1 Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, USA.
Shruti Agarwal2 Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, USA.
Nitish V Thakor1 Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, USA.
Jay J Pillai2 Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, USA.
Arvind P Pathak1 Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, USA.

Funding

Multiscale Image-based Modeling of Antiangiogenic Resistance in Breast CancerR01CA196701 · NCI · JOHNS HOPKINS UNIVERSITY · PI Arvind P Pathak · 2015 to 2026
$3.6M
Neuroimaging tools for presurgical brain mappingR42CA173976 · NCI · PRISM CLINICAL IMAGING INC. · PI DEYOE, EDGAR A, PILLAI, JAY J · 2015 to 2017
$1.6M
A Wireless Laser Speckle and Fluorescence Imager for In vivo Brain Tumor ImagingR21CA175784 · NCI · JOHNS HOPKINS UNIVERSITY · PI PATHAK, ARVIND P · 2013 to 2014
$380k
NCI NIH HHS R01 CA196701NCI NIH HHS R21 CA175784NCI NIH HHS R42 CA173976
6 · The paper itself

Abstract

Functional magnetic resonance imaging (fMRI) serves as a critical tool for presurgical mapping of eloquent cortex and changes in neurological function in patients diagnosed with brain tumors. However, the blood-oxygen-level-dependent (BOLD) contrast mechanism underlying fMRI assumes that neurovascular coupling remains intact during brain tumor progression, and that measured changes in cerebral blood flow (CBF) are correlated with neuronal function. Recent preclinical and clinical studies have demonstrated that even low-grade brain tumors can exhibit neurovascular uncoupling (NVU), which can confound interpretation of fMRI data. Therefore, to avoid neurosurgical complications, it is crucial to understand the biophysical basis of NVU and its impact on fMRI. Here we review the physiology of the neurovascular unit, how it is remodeled, and functionally altered by brain cancer cells. We first discuss the latest findings about the components of the neurovascular unit. Next, we synthesize results from preclinical and clinical studies to illustrate how brain tumor induced NVU affects fMRI data interpretation. We examine advances in functional imaging methods that permit the clinical evaluation of brain tumors with NVU. Finally, we discuss how the suppression of anomalous tumor blood vessel formation with antiangiogenic therapies can "normalize" the brain tumor vasculature, and potentially restore neurovascular coupling.

Indexed as

AnimalsBlood VesselsBrain NeoplasmsHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingNeovascularization, PathologicNeuronsangiogenesiscancercooptioncouplingfunctional magnetic resonance imagingNeurovascular

Identifiers

PMID28492341
PMCPMC5669348

What OpenQuestion holds

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Registered trials

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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.