Evidence map›Paper›PMID 26117712›Full record

ReviewNeuro-oncology2015

High-definition fiber tractography for the evaluation of perilesional white matter tracts in high-grade glioma surgery.

Kumar Abhinav, Fang-Cheng Yeh, Alireza Mansouri, Gelareh Zadeh, Juan C Fernandez-Miranda

Registry-linked trialOpen access · bronzeAbstract readCase ReportsReview
In one paragraph

Review in Neuro-oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04343157 (UCSD Image-Guided Cognitive-Sparing Radiosurgery for Brain Metastases), which is not on this map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
7.8field-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.

NCT04343157 phase2recruitingnot on this mapstarted 2019, after this paper: background citation

UCSD Image-Guided Cognitive-Sparing Radiosurgery for Brain Metastases: Avoidance of Eloquent White Matter and Hippocampal Regions

TypeinterventionalSponsorJona Hattangadi-GluthRan2019 to 2028Enrolled60ConditionsBrain Metastases, Adult, Neurocognitive Function, CancerArmsCognitive Sparing Brain Stereotactic Radiosurgery (SRS)
3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 85 citations in OpenAlex.

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  15. 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

5 authors at 4 institutions in 2 countries.

Kumar AbhinavDepartment of Neurological Surgery, University of Pittsburgh School of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (K.A., J.C.F.-M.); Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania (F.-C.Y); Department of Neurosurgery, University of Toronto, Toronto, Canada (A.M., G.Z.).
Fang-Cheng YehDepartment of Neurological Surgery, University of Pittsburgh School of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (K.A., J.C.F.-M.); Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania (F.-C.Y); Department of Neurosurgery, University of Toronto, Toronto, Canada (A.M., G.Z.).
Alireza MansouriDepartment of Neurological Surgery, University of Pittsburgh School of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (K.A., J.C.F.-M.); Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania (F.-C.Y); Department of Neurosurgery, University of Toronto, Toronto, Canada (A.M., G.Z.).
Gelareh ZadehDepartment of Neurological Surgery, University of Pittsburgh School of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (K.A., J.C.F.-M.); Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania (F.-C.Y); Department of Neurosurgery, University of Toronto, Toronto, Canada (A.M., G.Z.).
Juan C Fernandez-MirandaDepartment of Neurological Surgery, University of Pittsburgh School of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (K.A., J.C.F.-M.); Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania (F.-C.Y); Department of Neurosurgery, University of Toronto, Toronto, Canada (A.M., G.Z.).
University of Pittsburgh Medical Center · USCarnegie Mellon University · USNeurological Surgery · USUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional white matter (WM) imaging approaches, such as diffusion tensor imaging (DTI), have been used to preoperatively identify the location of affected WM tracts in patients with intracranial tumors in order to maximize the extent of resection and potentially reduce postoperative morbidity. DTI, however, has limitations that include its inability to resolve multiple crossing fibers and its susceptibility to partial volume effects. Therefore, recent focus has shifted to more advanced WM imaging techniques such as high-definition fiber tractography (HDFT). In this paper, we illustrate the application of HDFT, which in our preliminary experience has enabled accurate depiction of perilesional tracts in a 3-dimensional manner in multiple anatomical compartments including edematous zones around high-grade gliomas. This has facilitated accurate surgical planning. This is illustrated by using case examples of patients with glioblastoma multiforme. We also discuss future directions in the role of these techniques in surgery for gliomas.

Indexed as

AgedBrain NeoplasmsDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleGliomaHumansImage EnhancementImage Interpretation, Computer-AssistedMaleMiddle AgedNeoplasm GradingReproducibility of ResultsWhite MatterDiffusion tensor imagingedemaglioblastoma multiformeintracranial mass lesions

Identifiers

PMID26117712
PMCPMC4588761
OpenAlexW2098063347

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.