Evidence map›Paper›PMID 32006950›Full record

ReviewNeurosurgical focus2020

Tractography and the connectome in neurosurgical treatment of gliomas: the premise, the progress, and the potential.

Fraser Henderson, Kalil G Abdullah, Ragini Verma, Steven Brem

Open access · diamondAbstract readReview
In one paragraph

Review in Neurosurgical focus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 1 pooled it
9.1field-weighted citation impact, top 2% 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

75 citing papers in PubMed, 1 synthesis or guideline pooled it, 148 citations in OpenAlex.

  1. Pooled it
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15 more citing papers are in PubMed but not listed here.

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

4 authors at 3 institutions in 1 country.

Fraser Henderson1Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania.
Kalil G Abdullah4Department of Neurosurgery, University of Texas Southwestern Medical Center, Dallas, Texas.
Ragini Verma1Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania.
Steven Brem1Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania.
University of Pennsylvania · USMedical University of South Carolina · USThe University of Texas Southwestern Medical Center · 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
NINDS NIH HHS R01 NS096606
6 · The paper itself

Abstract

The ability of diffusion tensor MRI to detect the preferential diffusion of water in cerebral white matter tracts enables neurosurgeons to noninvasively visualize the relationship of lesions to functional neural pathways. Although viewed as a research tool in its infancy, diffusion tractography has evolved into a neurosurgical tool with applications in glioma surgery that are enhanced by evolutions in crossing fiber visualization, edema correction, and automated tract identification. In this paper the current literature supporting the use of tractography in brain tumor surgery is summarized, highlighting important clinical studies on the application of diffusion tensor imaging (DTI) for preoperative planning of glioma resection, and risk assessment to analyze postoperative outcomes. The key methods of tractography in current practice and crucial white matter fiber bundles are summarized. After a review of the physical basis of DTI and post-DTI tractography, the authors discuss the methodologies with which to adapt DT image processing for surgical planning, as well as the potential of connectomic imaging to facilitate a network approach to oncofunctional optimization in glioma surgery.

Indexed as

Brain NeoplasmsConnectomeDiffusion Tensor ImagingGliomaHumansNerve NetNeurosurgical ProceduresTreatment OutcomeAF = arcuate fasciculusconnectomicsCSD = constrained spherical deconvolutionCST = corticospinal tractdiffusion tensor imagingDSI = diffusion spectrum imagingDTIDTI = diffusion tensor imagingFACT = fiber assignment by continuous trackingFA = fractional anisotropyfiber tractographyfMRI = functional MRIglioma surgeryGQI = generalized Q-sampling imagingGTR = gross-total resectionHARDI = high angular resolution diffusion imagingHDFT = high-definition fiber tractographyHGG = high-grade gliomaIFOF = inferior fronto-occipital fasciculusKPS = Karnofsky Performance ScaleLGG = low-grade gliomaODF = orientation distribution functionQA = quantitative anisotropyQBI = Q-ball imagingROI = region of interestSDF = spin distribution functionSLF = superior longitudinal fasciculusUKF = unscented Kalman filter

Identifiers

PMID32006950
PMCPMC7831974
OpenAlexW3004082770

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.