Evidence map›Paper›PMID 33913502›Full record

ArticleNeurosurgery2021

Enhanced Fiber Tractography Using Edema Correction: Application and Evaluation in High-Grade Gliomas.

Fraser Henderson, Drew Parker, Anupa A Vijayakumari, Mark Elliott, Timothy Lucas, Michael L McGarvey, Lauren Karpf, Lisa Desiderio, Jessica Harsch, Scott Levy and 5 more

Abstract read
In one paragraph

Article in Neurosurgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
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  7. The Brain Connectome for Clinical Neuroscience.Advances in experimental medicine and biology · 2024
    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

15 authors.

Fraser HendersonDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Drew ParkerDiCIPHR (Diffusion and Connectomics in Precision Healthcare Research) Lab, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-2253-7506
Anupa A VijayakumariDiCIPHR (Diffusion and Connectomics in Precision Healthcare Research) Lab, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Mark ElliottCenter for Magnetic Resonance and Optical Imaging, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Timothy LucasDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Michael L McGarveyDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Lauren KarpfNeuroradiology Clinical Research Division, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Lisa DesiderioNeuroradiology Clinical Research Division, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jessica HarschNeurosurgery Clinical Research Division, Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Scott LevyNeurosurgery Clinical Research Division, Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Eileen Maloney-WilenskyNeurosurgery Clinical Research Division, Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ronald L WolfDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Wesley B HodgesSynaptive Medical Inc, Toronto, Canada.
Steven BremDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ragini VermaDiCIPHR (Diffusion and Connectomics in Precision Healthcare Research) Lab, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

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
Biomedical Image Computing and Informatics ClusterS10OD023495 · OD · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2017 to 2017
$1.9M
NIH HHS S10 OD023495NINDS NIH HHS R01 NS096606
6 · The paper itself

Abstract

backgroundA limitation of diffusion tensor imaging (DTI)-based tractography is peritumoral edema that confounds traditional diffusion-based magnetic resonance metrics.

objectiveTo augment fiber-tracking through peritumoral regions by performing novel edema correction on clinically feasible DTI acquisitions and assess the accuracy of the fiber-tracks using intraoperative stimulation mapping (ISM), task-based functional magnetic resonance imaging (fMRI) activation maps, and postoperative follow-up as reference standards.

methodsEdema correction, using our bi-compartment free water modeling algorithm (FERNET), was performed on clinically acquired DTI data from a cohort of 10 patients presenting with suspected high-grade glioma and peritumoral edema in proximity to and/or infiltrating language or motor pathways. Deterministic fiber-tracking was then performed on the corrected and uncorrected DTI to identify tracts pertaining to the eloquent region involved (language or motor). Tracking results were compared visually and quantitatively using mean fiber count, voxel count, and mean fiber length. The tracts through the edematous region were verified based on overlay with the corresponding motor or language task-based fMRI activation maps and intraoperative ISM points, as well as at time points after surgery when peritumoral edema had subsided.

resultsVolume and number of fibers increased with application of edema correction; concordantly, mean fractional anisotropy decreased. Overlay with functional activation maps and ISM-verified eloquence of the increased fibers. Comparison with postsurgical follow-up scans with lower edema further confirmed the accuracy of the tracts.

conclusionThis method of edema correction can be applied to standard clinical DTI to improve visualization of motor and language tracts in patients with glioma-associated peritumoral edema.

Indexed as

Brain NeoplasmsGliomaDiffusion Tensor ImagingEdemaHumansMagnetic Resonance ImagingDiffusion tensor imaging, Tractography, GlioblastomaFree water correction, Edema invariance

Identifiers

PMID33913502
PMCPMC8279840

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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.