Evidence map›Paper›PMID 33654667›Full record

ArticleQuantitative imaging in medicine and surgery2021

Quantitative research on the interaction between cerebral edema and peripheral cerebral blood perfusion using swept-source optical coherence tomography.

Jian Liu, Yan Li, Yang Lin, Ziyue Meng, Xuyang Guo, Yao Yu, Zhenhe Ma

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 58% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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 2 institutions in 2 countries.

Jian LiuSchool of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China.
Yan LiSchool of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China.
Yang LinSchool of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China.
Ziyue MengSchool of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China.
Xuyang GuoDepartment of Bioengineering, University of Washington, Seattle, USA.
Yao YuSchool of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China.
Zhenhe MaSchool of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China.
Northeastern University · CNSeattle University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIschemic cerebral edema (CE) is a major leading cause of death in patients with ischemic stroke. The CE progression is closely related to the local cerebral blood perfusion (LCBP) level surrounding the edema area. Quantitative studying the interaction between the CE and peripheral LCBP may provide new inspiration for control and even treatment of CE.

methodsPhotothrombosis ischemia mouse model was established and observed for 9 hours using swept-source optical coherence tomography (SS-OCT). OCT-based angiography and OCT-based attenuation imaging techniques were used to reconstruct the angiograms reflecting the cerebral blood perfusion (CBP) level and optical attenuation coefficient (OAC) maps reflecting the edema state. The influence of edema on LCBP was analyzed by quantifying the blood perfusion in different spatial locations around the edema tissue, and the influence of LCBP on CE progression was revealed by comparing the changes of the edema area and LCBP level over time.

resultsPreliminary studies show that the effect of edema tissue on LCBP is very significant, which shows a clear spatial dependence. LCBP near the edema tissue is 15-20% lower than that far away from the edema tissue. When the LCBP drops to around 60% of the initial value, the edema area increases sharply. In addition, the level of CBP in the contralateral hemisphere also decreases with time. When the contralateral CBP drops to around 60%, there is a certain probability that contralateral edema will occur.

conclusionsCE progression is not only related to the LCBP around the edema tissue but also related to the CBP of non-edematous regions. Controlling the CBP level of non-edematous regions may play a positive role in the treatment of CE. This work provides a new method and inspiration for exploring the mechanism of ischemic CE progression.

Indexed as

cerebral edemalocal cerebral blood perfusion (LCBP)Optical coherence tomography (OCT)

Identifiers

PMID33654667
PMCPMC7829176
OpenAlexW3114262514

What OpenQuestion holds

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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.