Evidence map›Paper›PMID 35352437›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging2022

Inferior fronto-occipital fascicle displacement in temporoinsular gliomas using diffusion tensor imaging.

Àngels Camins, Pablo Naval-Baudin, Carles Majós, Joanna Sierpowska, Jose L Sanmillan, Mónica Cos, Antoni Rodriguez-Fornells, Andreu Gabarrós

Open access · hybridAbstract read
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Color Maps: Facilitating the Clinical Impact of Quantitative MRI.Journal of magnetic resonance imaging : JMRI · 2025
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  8. Inferior fronto-occipital fascicle displacement in temporoinsular gliomas using diffusion tensor imaging.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022
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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

8 authors at 3 institutions in 2 countries.

Àngels CaminsRadiology Department, Institut de Diagnostic per la Imatge, Hospital Universitari de Bellvitge (HUB), Barcelona, Spain.ORCID 0000-0003-2678-8134
Pablo Naval-BaudinRadiology Department, Institut de Diagnostic per la Imatge, Hospital Universitari de Bellvitge (HUB), Barcelona, Spain.ORCID 0000-0002-8714-0764
Carles MajósRadiology Department, Institut de Diagnostic per la Imatge, Hospital Universitari de Bellvitge (HUB), Barcelona, Spain.
Joanna SierpowskaDonders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
Jose L SanmillanNeurosurgery Department, Hospital Universitari de Bellvitge (HUB), Campus Bellvitge, University of Barcelona - IDIBELL, Barcelona, Spain.
Mónica CosRadiology Department, Institut de Diagnostic per la Imatge, Hospital Universitari de Bellvitge (HUB), Barcelona, Spain.
Antoni Rodriguez-FornellsCognition and Brain Plasticity Unit, Department of Cognition, Development and Educational Psychology, University of Barcelona, Barcelona, Spain.
Andreu GabarrósNeurosurgery Department, Hospital Universitari de Bellvitge (HUB), Campus Bellvitge, University of Barcelona - IDIBELL, Barcelona, Spain.
Bellvitge University Hospital · ESInstitució Catalana de Recerca i Estudis Avançats · ESRadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeBrain tumors can result in displacement or destruction of important white matter tracts such as the inferior fronto-occipital fascicle (IFOF). Diffusion tensor imaging (DTI) can assess the extent of this effect and potentially provide neurosurgeons with an accurate map to guide tumor resection; analyze IFOF displacement patterns in temporoinsular gliomas based on tumor grading and topography in the temporal lobe; and assess whether these patterns follow a predictable pattern, to assist in maximal tumor resection while preserving IFOF function.

methodsThirty-four patients with temporal gliomas and available presurgical MRI were recruited. Twenty-two had insula infiltration. DTI deterministic region of interest (ROI)-based tractography was performed using commercial software. Tumor topographic imaging characteristics analyzed were as follows: location in the temporal lobe and extent of extratemporal involvement. Qualitative tractographic data obtained from directional DTI color maps included type of involvement (displaced/edematous-infiltrated/destroyed) and displacement direction. Quantitative tractographic data of ipsi- and contralateral IFOF included whole tract volume, fractional anisotropy, and fractional anisotropy of a 2-dimensional coronal ROI on the tract at the point of maximum tumor involvement.

resultsThe most common tract involvement pattern was edematous/infiltrative displacement. Displacement patterns depended on main tumor location in the temporal lobe and presence of insular involvement. All tumors showed superior displacement pattern. In lateral tumors, displacement tendency was medial. In medial tumors, displacement tendency was lateral. When we add insular involvement, the tendency was more medial displacement. A qualitative and quantitative assessment supported these results.

conclusionsIFOF displacement patterns are reproducible and suitable for temporoinsular gliomas presurgical planning.

Indexed as

Brain NeoplasmsGliomaWhite MatterDiffusion Tensor ImagingFrontal LobeHumansdiffusion tensor imaginggliomainferior fronto-occipital fasciculussurgical navigation systemstemporal lobe

Identifiers

PMID35352437
PMCPMC9544573
OpenAlexW4220767815

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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.