Evidence map›Paper›PMID 35053503›Full record

ArticleCancers2022

TMS Seeded Diffusion Tensor Imaging Tractography Predicts Permanent Neurological Deficits.

Matthew Muir, Sarah Prinsloo, Hayley Michener, Jeffrey I Traylor, Rajan Patel, Ron Gadot, Dhiego Chaves de Almeida Bastos, Vinodh A Kumar, Sherise Ferguson, Sujit S Prabhu

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Neuromodulation in Neuro-Oncology: A Scoping Review.Journal of personalized medicine · 2026
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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

10 authors at 4 institutions in 1 country.

Matthew MuirDepartment of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-7218-7017
Sarah PrinslooDepartment of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Hayley MichenerDepartment of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Jeffrey I TraylorDepartment of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX 77030, USA.ORCID 0000-0003-1749-8143
Rajan PatelDepartment of Neurosurgery, Baylor College of Medicine, Houston, TX 77030, USA.
Ron GadotDepartment of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Dhiego Chaves de Almeida BastosDepartment of Neurosurgery, Cleveland Clinic, Cleveland, OH 61349, USA.
Vinodh A KumarDepartment of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-8322-1233
Sherise FergusonDepartment of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Sujit S PrabhuDepartment of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
The University of Texas MD Anderson Cancer Center · USBaylor College of Medicine · USCleveland Clinic · USNeurological Surgery · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgeons must optimize the onco-functional balance by maximizing the extent of resection and minimizing postoperative neurological morbidity. Optimal patient selection and surgical planning requires preoperative identification of nonresectable structures. Transcranial magnetic stimulation is a method of noninvasively mapping the cortical representations of the speech and motor systems. Despite recent promising data, its clinical relevance and appropriate role in a comprehensive mapping approach remains unknown. In this study, we aim to provide direct evidence regarding the clinical utility of transcranial magnetic stimulation by interrogating the eloquence of TMS points. Forty-two glioma patients were included in this retrospective study. We collected motor function outcomes 3 months postoperatively. We overlayed the postoperative MRI onto the preoperative MRI to visualize preoperative TMS points in the context of the surgical cavity. We then generated diffusion tensor imaging tractography to identify meaningful subsets of TMS points. We correlated the resection of preoperative imaging features with clinical outcomes. The resection of TMS-positive points was significantly predictive of permanent deficits (

Indexed as

diffusion tensor imagingeloquencefunctional imaginggliomaneurological deficitonco-functional balancetractographytranscranial magnetic stimulation

Identifiers

PMID35053503
PMCPMC8774180
OpenAlexW4206287916

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.