Evidence map›Paper›PMID 27079371›Full record

ArticleAJNR. American journal of neuroradiology2016

Improved Leakage Correction for Single-Echo Dynamic Susceptibility Contrast Perfusion MRI Estimates of Relative Cerebral Blood Volume in High-Grade Gliomas by Accounting for Bidirectional Contrast Agent Exchange.

K Leu, J L Boxerman, T F Cloughesy, A Lai, P L Nghiemphu, L M Liau, W B Pope, B M Ellingson

Abstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Advanced MR Techniques for Preoperative Glioma Characterization: Part 1.Journal of magnetic resonance imaging : JMRI · 2023
    Review
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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

8 authors.

K LeuFrom the UCLA Brain Tumor Imaging Laboratory (K.L., B.M.E.), Center for Computer Vision and Imaging Biomarkers Department of Bioengineering (K.L., B.M.E.), Henry Samueli School of Engineering and Applied Science Departments of Radiological Sciences (K.L., W.B.P., B.M.E.).ORCID 0000-0002-0523-1575
J L BoxermanDepartment of Diagnostic Imaging (J.L.B.), Rhode Island Hospital and Alpert Medical School of Brown University, Providence, Rhode Island.ORCID 0000-0002-0594-1542
T F CloughesyUCLA Neuro-Oncology Program (T.F.C., A.L., P.L.N., B.M.E.), University of California, Los Angeles, Los Angeles, California.ORCID 0000-0002-8656-7483
A LaiUCLA Neuro-Oncology Program (T.F.C., A.L., P.L.N., B.M.E.), University of California, Los Angeles, Los Angeles, California Neurology (A.L., P.L.N.).ORCID 0000-0002-7265-2986
P L NghiemphuUCLA Neuro-Oncology Program (T.F.C., A.L., P.L.N., B.M.E.), University of California, Los Angeles, Los Angeles, California Neurology (A.L., P.L.N.).ORCID 0000-0003-4064-6079
L M LiauNeurosurgery (L.M.L.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.ORCID 0000-0002-4053-0052
W B PopeDepartments of Radiological Sciences (K.L., W.B.P., B.M.E.).ORCID 0000-0003-4803-1992
B M EllingsonFrom the UCLA Brain Tumor Imaging Laboratory (K.L., B.M.E.), Center for Computer Vision and Imaging Biomarkers Department of Bioengineering (K.L., B.M.E.), Henry Samueli School of Engineering and Applied Science UCLA Neuro-Oncology Program (T.F.C., A.L., P.L.N., B.M.E.), University of California, Los Angeles, Los Angeles, California Departments of Radiological Sciences (K.L., W.B.P., B.M.E.) Biomedical Physics (B.M.E.) bellingson@mednet.ucla.edu.ORCID 0000-0002-2764-6640

Funding

UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
Cell invasion, motility, and proliferation level estimate maps in gliomasR21CA167354 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ELLINGSON, BENJAMIN M. · 2012 to 2013
$358k
EPA EP-C-15-003NCI NIH HHS R21 CA167354NIGMS NIH HHS T32 GM008042
6 · The paper itself

Abstract

background and purposeContrast agent extravasation through a disrupted blood-brain barrier potentiates inaccurate DSC MR imaging estimation of relative CBV. We explored whether incorporation of an interstitial washout rate in a leakage-correction model for single-echo, gradient-echo DSC MR imaging improves relative CBV estimates in high-grade gliomas. MATERIALS AND

methodsWe modified the traditional model-based postprocessing leakage-correction algorithm, assuming unidirectional contrast agent extravasation (Boxerman-Weisskoff model) to account for bidirectional contrast agent exchange between intra- and extravascular spaces (bidirectional model). For both models, we compared the goodness of fit with the parent leakage-contaminated relaxation rate curves by using the Akaike Information Criterion and the difference between modeled interstitial relaxation rate curves and dynamic contrast-enhanced MR imaging by using Euclidean distance in 21 patients with glioblastoma multiforme.

resultsThe bidirectional model had improved Akaike Information Criterion versus the bidirectional model in >50% of enhancing tumor voxels in all 21 glioblastoma multiformes (77% ± 9%; P < .0001) and had reduced the Euclidean distance in >50% of enhancing tumor voxels for 17/21 glioblastoma multiformes (62% ± 17%; P = .0041). The bidirectional model and dynamic contrast-enhanced-derived kep demonstrated a strong correlation (r = 0.74 ± 0.13). On average, enhancing tumor relative CBV for the Boxerman-Weisskoff model exceeded that for the bidirectional model by 16.6% ± 14.0%.

conclusionsInclusion of the bidirectional exchange in leakage-correction models for single-echo DSC MR imaging improves the model fit to leakage-contaminated DSC MR imaging data and significantly improves the estimation of relative CBV in high-grade gliomas.

Indexed as

AlgorithmsAdultAgedBrain NeoplasmsCerebral Blood VolumeContrast MediaExtravasation of Diagnostic and Therapeutic MaterialsFemaleGliomaHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedModels, TheoreticalContrast Media

Identifiers

PMID27079371
PMCPMC4983482

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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.