Evidence map›Paper›PMID 27015212›Full record

ArticleMedicine2016

Assessing Region of Interest Schemes for the Corticospinal Tract in Patients With Brain Tumors.

Chen Niu, Xin Liu, Yong Yang, Kun Zhang, Zhigang Min, Maode Wang, Wenfei Li, Liping Guo, Pan Lin, Ming Zhang

Open access · goldAbstract readComparative Study
In one paragraph

Article in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  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

10 authors at 4 institutions in 1 country.

Chen NiuFrom the Department of Medical Imaging, The First Affiliated Hospital of Xi'An Jiaotong University, Xi'an, Shaanxi (CN, MG, WL, LG, MZ); Key Laboratory of Biomedical Information Engineering of Education Ministry, Institute of Biomedical Engineering, Xi'an Jiaotong University, Xi'an (XL); School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, People's Republic of China (YY); Department of Electronics Engineering, Northwestern Polytechnical University, Xi'an (KZ); Department of Neurosurgey, First Affiliated Hospital of Xi'An Jiaotong University, Xi'an, Shaanxi (MW); Key Laboratory of Biomedical Information Engineering of Education Ministry, Institute of Biomedical Engineering, Xi'an Jiaotong University, Xi'an (PL); and Department of Medical Imaging, The First Affiliated Hospital of Xi'An Jiaotong University, Xi'an (MZ), Shaanxi, China.
Xin Liu
Yong Yang
Kun Zhang
Zhigang Min
Maode Wang
Wenfei Li
Liping Guo
Pan Lin
Ming Zhang
Northwestern Polytechnical University · CNXi'an Jiaotong University · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CNJiangxi University of Finance and Economics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffusion tensor imaging (DTI) and diffusion tensor tractography (DTT) techniques are widely used for identifying the corticospinal tract (CST) white matter pathways as part of presurgical planning. However, mass effects in patients with brain tumors tend to cause anatomical distortions and compensatory functional reorganization of the cortex, which may lead to inaccurate mapping of white matter tracts. To overcome these problems, we compared different region-of-interest (ROI) selection schemes to track CST fibers in patients with brain tumors. Our study investigated the CSTs of 16 patients with intracranial tumors. The patients were classified into 3 subgroups according to the spatial relationships of the lesion and the primary motor cortex (PMC)/internal capsule. Specifically, we investigated the key factors that cause distorted tractography in patients with tumors. We compared 3 CST tractography methods that used different ROI selection schemes. The results indicate that CST fiber tracking methods based only on anatomical ROIs could possibly lead to distortions near the PMC region and may be unable to effectively localize the PMC. In contrast, the dual ROI method, which uses ROIs that have been selected from both blood oxygen level-dependent functional MRI (BOLD-fMRI) activation and anatomical landmarks, enabled the tracking of fibers to the motor cortex. The results demonstrate that the dual ROI method can localize the entire CST fiber pathway and can accurately describe the spatial relationships of CST fibers relative to the tumor. These results illustrate the reliability of using fMRI-guided DTT in patients with tumors. The combination of fMRI and anatomical information enhances the identification of tracts of interest in brains with anatomical deformations, which provides neurosurgeons with a more accurate approach for visualizing and localizing white matter fiber tracts in patients with brain tumors. This approach enhances surgical performance and perserves brain function.

Indexed as

Diffusion Tensor ImagingAdultAgedBrain NeoplasmsFemaleHumansMaleMiddle AgedPyramidal Tracts

Identifiers

PMID27015212
PMCPMC4998407
OpenAlexW2331570685

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.