Evidence map›Paper›PMID 31144009›Full record

ArticleSurgical and radiologic anatomy : SRA2019

Differences between generalized Q-sampling imaging and diffusion tensor imaging in visualization of crossing neural fibers in the brain.

Zhuoru Jin, Yue Bao, Yong Wang, Zhipeng Li, Xiaomeng Zheng, Shengrong Long, Yibao Wang

Open access · hybridAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Surgical and radiologic anatomy : SRA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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  11. Could DTI Unlock the Mystery of Subjective Tinnitus: It's Time for Parameters That Go A Little Out of the Routine.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2024
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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 3 institutions in 2 countries.

Zhuoru JinDepartment of Neurosurgery, The First Affiliated Hospital of China Medical University, No. 155, North Nanjing Street, Heping District, Shenyang, 110001, Liaoning, P. R. China.
Yue BaoDepartment of Neurosurgery, The First Affiliated Hospital of China Medical University, No. 155, North Nanjing Street, Heping District, Shenyang, 110001, Liaoning, P. R. China.
Yong WangDepartment of Neurosurgery, The First Affiliated Hospital of China Medical University, No. 155, North Nanjing Street, Heping District, Shenyang, 110001, Liaoning, P. R. China.
Zhipeng LiDepartment of Neurosurgery, The First Affiliated Hospital of China Medical University, No. 155, North Nanjing Street, Heping District, Shenyang, 110001, Liaoning, P. R. China.
Xiaomeng ZhengDepartment of Neurosurgery, University of Birmingham, Edgbaston Street, Birmingham, UK.
Shengrong LongDepartment of Neurosurgery, The First Affiliated Hospital of China Medical University, No. 155, North Nanjing Street, Heping District, Shenyang, 110001, Liaoning, P. R. China.
Yibao WangDepartment of Neurosurgery, The First Affiliated Hospital of China Medical University, No. 155, North Nanjing Street, Heping District, Shenyang, 110001, Liaoning, P. R. China. cmuwyb@hotmail.com.
First Hospital of China Medical University · CNChina Medical University · CNUniversity of Birmingham · GB

Funding

National Natural Science Foundation of China No.31540077
6 · The paper itself

Abstract

purposeThe aim of this study was to discuss the advantages of GQI reconstruction in the imaging of nerve fibers at crossing regions. Compared with DTI, the paper also discussed the advantages of GQI in imaging principles.

methods3-T MRI data from five normal participants were reconstructed using GQI and DTI. After adjusting the parameters, we compared the differences in reconstructed nerve fibers at the crossing regions between the two methods. To complete this study, we chose four obvious examples (the optic nerve, the Superior cerebellar peduncles, the intersection of the pyramidal tract, the corpus callosum and the arcuate fibers and the intersection of the supplementary motor area (SMA) and the anterior part of arcuate fasciculus) to illustrate.

resultsBy reconstructing nerve fibers in three regions, we can find that crossing-area images of nerve fibers significantly differed between DTI and GQI reconstruction. Although crossing fibers could be clearly and completely visualized after GQI reconstruction, they showed artifacts, incompleteness, deletions, and fractures after DTI reconstruction. After GQI reconstruction, we can find that there were two or more nerve fibers in each voxel. However, only one nerve fiber was present in each voxel after DTI reconstruction.

conclusionThe imaging of crossing fibers is more complete, consistent, and accurate when they are reconstructed by GQI than when they are reconstructed by DTI.

Indexed as

Diffusion Tensor ImagingImage Processing, Computer-AssistedNerve FibersAdultArtifactsBrainFemaleHealthy VolunteersHumansMaleMiddle AgedDiffusion tensor imagingOptic nervePyramidal tractWhite matter

Identifiers

PMID31144009
PMCPMC6694094
OpenAlexW2947098836

What OpenQuestion holds

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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.