Evidence map›Paper›PMID 26362714›Full record

ArticleMagnetic resonance in medicine2016

Validation of a T1 and T2* leakage correction method based on multiecho dynamic susceptibility contrast MRI using MION as a reference standard.

Ashley M Stokes, Natenael Semmineh, C Chad Quarles

Abstract readEvaluation StudyValidation Study
In one paragraph

Article in Magnetic resonance in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Preclinical in-vivo cerebrovascular imaging in rodent models: Methods and applications in Alzheimer's disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
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  11. Evaluation of single bolus, dual-echo dynamic susceptibility contrast MRI protocols in brain tumor patients.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
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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

3 authors at 1 institution in 1 country.

Ashley M StokesDepartment of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee, USA.
Natenael SemminehInstitute of Imaging Science, Vanderbilt University, Nashville, Tennessee, USA.
C Chad QuarlesDepartment of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee, USA.
Vanderbilt University · US

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
MRI Assessment of Tumor Perfusion, Permeability and CellularityR01CA158079 · NCI · VANDERBILT UNIVERSITY · PI QUARLES, CHRISTOPHER CHAD · 2011 to 2021
$3.5M
NCI NIH HHS P30 CA068485NCI NIH HHS R01 CA158079
6 · The paper itself

Abstract

purposeA combined biophysical- and pharmacokinetic-based method is proposed to separate, quantify, and correct for both T1 and T2* leakage effects using dual-echo dynamic susceptibility contrast (DSC) acquisitions to provide more accurate hemodynamic measures, as validated by a reference intravascular contrast agent (CA). THEORY AND

methodsDual-echo DSC-MRI data were acquired in two rodent glioma models. The T1 leakage effects were removed and also quantified to subsequently correct for the remaining T2* leakage effects. Pharmacokinetic, biophysical, and combined biophysical and pharmacokinetic models were used to obtain corrected cerebral blood volume (CBV) and cerebral blood flow (CBF), and these were compared with CBV and CBF from an intravascular CA.

resultsT1 -corrected CBV was significantly overestimated compared with MION CBV, while T1 + T2*-correction yielded CBV values closer to the reference values. The pharmacokinetic and simplified biophysical methods showed similar results and underestimated CBV in tumors exhibiting strong T2* leakage effects. The combined method was effective for correcting T1 and T2* leakage effects across tumor types.

conclusionCorrecting for both T1 and T2* leakage effects yielded more accurate measures of CBV. The combined correction method yields more reliable CBV measures than either correction method alone, but for certain brain tumor types (e.g., gliomas), the simplified biophysical method may provide a robust and computationally efficient alternative. Magn Reson Med 76:613-625, 2016. © 2015 Wiley Periodicals, Inc.

Indexed as

AlgorithmsArtifactsAnimalsBrain NeoplasmsCell Line, TumorContrast MediaExtravasation of Diagnostic and Therapeutic MaterialsGliomaImage EnhancementImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleRatsRats, Inbred F344Rats, WistarReference ValuesContrast Mediabiophysical modelcontrast agent leakagedynamic susceptibility-contrast MRIleakage correctionperfusion imagingtumor hemodynamics

Identifiers

PMID26362714
PMCPMC4788990
OpenAlexW1872356490

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.