Evidence map›Paper›PMID 32469944›Full record

ArticlePloS one2020

Freewater estimatoR using iNtErpolated iniTialization (FERNET): Characterizing peritumoral edema using clinically feasible diffusion MRI data.

Drew Parker, Abdol Aziz Ould Ismail, Ronald Wolf, Steven Brem, Simon Alexander, Wes Hodges, Ofer Pasternak, Emmanuel Caruyer, Ragini Verma

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.9field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 41 citations in OpenAlex.

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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

9 authors at 4 institutions in 3 countries.

Drew ParkerDiCIPHR (Diffusion and Connectomics in Precision Healthcare Research) Lab, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Abdol Aziz Ould IsmailDiCIPHR (Diffusion and Connectomics in Precision Healthcare Research) Lab, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Ronald WolfDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Steven BremDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Simon AlexanderSynaptive Medical Inc., Toronto, ON, Canada.
Wes HodgesSynaptive Medical Inc., Toronto, ON, Canada.
Ofer PasternakDepartments of Psychiatry & Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America.
Emmanuel CaruyerIRISA UMR, Univ Rennes, CNRS, Inria, Inserm, Brittany, France.
Ragini VermaDiCIPHR (Diffusion and Connectomics in Precision Healthcare Research) Lab, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
University of Pennsylvania · USSynaptive (Canada) · CACentre National de la Recherche Scientifique · FRHarvard University · US

Funding

Connectomics meets neuro-oncology: mapping the brain for treatment planningR01NS096606 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI BREM, STEVEN, VERMA, RAGINI · 2016 to 2020
$2.7M
Next Generation Diffusion MRI Biomarkers for Prodromal SchizophreniaR01MH108574 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI PASTERNAK, OFER · 2016 to 2020
$2.2M
Biomedical Image Computing and Informatics ClusterS10OD023495 · OD · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2017 to 2017
$1.9M
NIH HHS S10 OD023495NIMH NIH HHS R01 MH108574NINDS NIH HHS R01 NS096606
6 · The paper itself

Abstract

Characterization of healthy versus pathological tissue in the peritumoral area is confounded by the presence of edema, making free water estimation the key concern in modeling tissue microstructure. Most methods that model tissue microstructure are either based on advanced acquisition schemes not readily available in the clinic or are not designed to address the challenge of edema. This underscores the need for a robust free water elimination (FWE) method that estimates free water in pathological tissue but can be used with clinically prevalent single-shell diffusion tensor imaging data. FWE in single-shell data requires the fitting of a bi-compartment model, which is an ill-posed problem. Its solution requires optimization, which relies on an initialization step. We propose a novel initialization approach for FWE, FERNET, which improves the estimation of free water in edematous and infiltrated peritumoral regions, using single-shell diffusion MRI data. The method has been extensively investigated on simulated data and healthy dataset. Additionally, it has been applied to clinically acquired data from brain tumor patients to characterize the peritumoral region and improve tractography in it.

Indexed as

AdolescentAdultAgedAged, 80 and overAlgorithmsBrainBrain EdemaBrain NeoplasmsDiffusion Magnetic Resonance ImagingFemaleHumansMaleMiddle AgedWaterYoung AdultWater

Identifiers

PMID32469944
PMCPMC7259683
OpenAlexW3029385835

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.