Evidence map›Paper›PMID 33708924›Full record

ArticleAnnals of translational medicine2021

Lateralizing the affected side of hippocampal sclerosis with quantitative high angular resolution diffusion scalars: a preliminary approach validated by diffusion spectrum imaging.

Yi-He Wang, Zhen-Ming Wang, Peng-Hu Wei, Chao Lu, Xiao-Tong Fan, Lian-Kun Ren, Yong-Zhi Shan, Jie Lu, Guo-Guang Zhao

Abstract read
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Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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  3. Combined [European radiology · 2022
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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yi-He WangDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Zhen-Ming WangDepartment of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Peng-Hu WeiDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Chao LuDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xiao-Tong FanDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Lian-Kun RenDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yong-Zhi ShanDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jie LuDepartment of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Guo-Guang ZhaoDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConflicts in regarding the lateralization of the seizure onset for mesial temporal lobe epilepsy (MTLE) are frequently encountered during presurgical evaluation. As a more elaborate, quantified protocol, indices of diffusion spectrum imaging (DSI) might be sensitive to evaluate the seizure involvement. However, the accuracy was less revealed. Herein, we determined the lateralizing value of the DSI indices among MTLE patients.

methodsEleven MTLE patients were enrolled together with 11 matched health contrasts. All the participants underwent a DSI scan and with reconstruction of the diffusion scalar, including quantitative anisotropy (QA), isotropic (ISO), and track density imaging (TDI) values. Statistics of these indices were applied to identify the differences between the healthy and ipsilateral sides, and those between the patients and the controls, with special attention to areas of the crura of fornix (FORX), the parahippocampal radiation of the cingulum (PHCR), the hippocampus (HP), parahippocampus (PHC), amygdala (AM) and entorhinal cortex (EC).

resultsRegarding lateralization, TDI of the FORX and the PHCR reached an AUC value of 0.95 and 0.93, respectively (P<0.05), and QA, ISO, TDI of the PHCR, as well as TDI of the FORX were statistically significant amongst the laterals of the patients (P<0.05). Also, the QA of the PHCR were statistically different in the patients' ipsilateral side relative to the contrasts (P<0.017). The diffusion level on different grey matter structures were significantly decreased including HP, AM and EC in GQI space (P<0.017).

conclusionsThe quantitative diffusion scalars of the DSI, especially TDI of the FORX and the PHCR, are sensitive indices to define the ipsilateral side for MTLE patients. For preliminary exploration, the use of quantitative DSI scalars may help to improve the seizure outcome by increasing the accuracy of localization and lateralization for MTLE.

Indexed as

Diffusion spectrum imaging (DSI)high angular quantitative analysismesial temporal lobe epilepsy (MTLE)

Identifiers

PMID33708924
PMCPMC7944293

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