Evidence map›Paper›PMID 31830068›Full record

ArticlePloS one2019

Fiber visualization for preoperative glioma assessment: Tractography versus local connectivity mapping.

Thomas Schult, Till-Karsten Hauser, Uwe Klose, Helene Hurth, Hans-Heino Ehricke

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

5 authors.

Thomas SchultInstitute for Applied Computer Science, Stralsund University of Applied Sciences, Stralsund, Germany.ORCID 0000-0002-3434-5571
Till-Karsten HauserDepartment of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, Tübingen, Germany.
Uwe KloseDepartment of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, Tübingen, Germany.ORCID 0000-0001-5236-3450
Helene HurthDepartment of Neurosurgery, University Hospital Tübingen, Tübingen, Germany.
Hans-Heino EhrickeInstitute for Applied Computer Science, Stralsund University of Applied Sciences, Stralsund, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In diffusion MRI, the advent of high angular resolution diffusion imaging (HARDI) and HARDI with compressed sensing (HARDI+CS) has led to clinically practical signal acquisition techniques which allow for the assessment of white matter architecture in routine patient studies. However, the reconstruction and visualization of fiber pathways by tractography has not yet been established as a standard methodology which can easily be applied. This is due to various algorithmic problems, such as a lack of robustness, error propagation and the necessity of fine-tuning parameters depending on the clinical question. In the framework of a clinical study of glioma patients, we compare two different whole-brain tracking methods to a local connectivity mapping approach which has recently shown promising results in an adaptation to diffusion MRI. The ability of the three methods to correctly depict fiber affection is analyzed by comparing visualization results to representations of local diffusion profiles provided by orientation distribution functions (ODFs). Our results suggest that methods beyond fiber tractography, which visualize local connectedness rather than global connectivity, should be evaluated further for pre-surgical assessment of fiber affection.

Indexed as

AlgorithmsNeural PathwaysAdultAgedBrain MappingDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleFiber Optic TechnologyGliomaHumansImage Processing, Computer-AssistedMaleMiddle Aged

Identifiers

PMID31830068
PMCPMC6907809

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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.