Evidence map›Paper›PMID 28829841›Full record

ArticlePloS one2017

A pilot study of pre-operative motor dysfunction from gliomas in the region of corticospinal tract: Evaluation with diffusion tensor imaging.

Bo Gao, Xudong Shen, Mark S Shiroishi, Mingfan Pang, Zhiqian Li, Benxia Yu, Guiquan Shen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

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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

7 authors at 5 institutions in 2 countries.

Bo GaoDepartment of Radiology, Yantai Yuhuangding Hospital, Yantai, Shandong, People's Republic of China.
Xudong ShenDepartment of Radiology, Enshi Central Hospital, Enshi, Hubei, People's Republic of China.
Mark S ShiroishiDepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America.
Mingfan PangChinese Center for Disease Control and Prevention, Beijing, People's Republic of China.
Zhiqian LiDepartment of Radiology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, People's Republic of China.
Benxia YuDepartment of Radiology, Yantai Yuhuangding Hospital, Yantai, Shandong, People's Republic of China.
Guiquan ShenDepartment of Radiology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, People's Republic of China.
Guiyang Medical University · CNYuhuangding Hospital · CNChinese Center For Disease Control and Prevention · CNThe Central Hospital of Enshi Tujia and Miao Autonomous Prefecture · CNUniversity of Southern California · US

Funding

Southern California Clinical and Translational Science InstituteKL2TR000131 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$2.1M
NCATS NIH HHS KL2 TR000131NCI NIH HHS L30 CA209248
6 · The paper itself

Abstract

background and purposeBrain tumors in the corticospinal tract (CST) region are more likely to cause motor dysfunction. The aim of this study is to evaluate the effect of gliomas located in the CST region on motor function with diffusion tensor imaging (DTI) preoperatively. MATERIALS AND

methodsForty-five patients with histopathologically confirmed gliomas were included in this pilot study, in all cases (low-grade n = 13, high-grade n = 32) CST but not the motor cortex were involved by the tumor. DTI image were acquired and the posterior limb of the internal capsule fractional anisotropy (FA) and relative FA (rFA = affected FA/contralateral FA) were measured. Injury of the CST from tumor was divided into three grades (grade 1: displacement, grade 2: displacement and infiltration, grade 3: displacement and disruption). The fiber density index (FDi) and relative FDi (rFDi = affected FDi/contralateral FDi) of the injured and contralateral CST were measured. The correlations between muscle strength and the CST injury grade and the rFA, affected FDi, rFDi values were calculated using Spearman rank correlation analysis. rFA and rFDi values of muscle strength groups (MMT2-5) were compared with one-way analysis of variance (ANOVA). The difference of muscle strength between low- and high-grade glioma groups were analysed with the Mann-Whitney U-test.

resultsMuscle strength was negatively correlated with the injury grade of the CST (r = -0.840, P<0.001). Muscle strength was positively correlated with rFA, FDi and rFDi (correlation coefficients (r) were 0.615, 0.643 and 0.567 for rFA, FDi and rFDi, respectively). The rFA values between grades (2&3, 2&4, 2&5, 3&5, 4&5) of muscle strength were significantly different (P<0.05), the rFDi values between grades (2&4, 2&5, 3&4, 3&5) of muscle strength were significantly different (P<0.05), while the rFA and rFDi values in the remaining groups of muscle strength grades showed no significant differences(P>0.05).

conclusionsPreoperative DTI and diffusion tensor tractography may quantify the injury degrees of CST and the extent of motor dysfunction in patients with brain glioma.

Indexed as

Psychomotor PerformanceBrain NeoplasmsDiffusion Tensor ImagingGliomaHumansPilot Projects

Identifiers

PMID28829841
PMCPMC5568729
OpenAlexW2746489519

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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.