Evidence map›Paper›PMID 38242903›Full record

ArticleScientific reports2024

Real-time laser speckle contrast imaging for intraoperative neurovascular blood flow assessment: animal experimental study.

Anton Konovalov, Fyodor Grebenev, Dmitry Stavtsev, Igor Kozlov, Vadim Gadjiagaev, Gennadii Piavchenko, Dmitry Telyshev, Alexander Yu Gerasimenko, Igor Meglinski, Savely Zalogin and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 10 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

14 authors at 3 institutions in 1 country.

Anton KonovalovBurdenko Neurosurgшcal Center, Moscow, Russian Federation. ANKonovalov@nsi.ru.
Fyodor GrebenevBurdenko Neurosurgшcal Center, Moscow, Russian Federation.
Dmitry StavtsevInstitute for Bionic Technologies and Engineering, I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation.
Igor KozlovInstitute for Bionic Technologies and Engineering, I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation.
Vadim GadjiagaevBurdenko Neurosurgшcal Center, Moscow, Russian Federation.
Gennadii PiavchenkoDepartment of Human Anatomy and Histology, I.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation.
Dmitry TelyshevInstitute for Bionic Technologies and Engineering, I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation.
Alexander Yu GerasimenkoInstitute for Bionic Technologies and Engineering, I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation.
Igor MeglinskiDepartment of Human Anatomy and Histology, I.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation. i.meglinski@aston.ac.uk.
Savely ZaloginDepartment of Operative Surgery and Topographic Anatomy, I.M, Sechenov First Moscow State Medical University, Moscow, Russia.
Anton ArtemyevDepartment of Operative Surgery and Topographic Anatomy, I.M, Sechenov First Moscow State Medical University, Moscow, Russia.
Grigorii GolodnevDepartment of Operative Surgery and Topographic Anatomy, I.M, Sechenov First Moscow State Medical University, Moscow, Russia.
Tatiana ShumeikoDepartment of Operative Surgery and Topographic Anatomy, I.M, Sechenov First Moscow State Medical University, Moscow, Russia.
Shalva EliavaBurdenko Neurosurgшcal Center, Moscow, Russian Federation.
Sechenov University · RUBurdenko Neurosurgery Institute · RUNational Research University of Electronic Technology · RU

Funding

Russian Science Foundation , https://rscf.ru/project/22-65-00096/ № 22-65-00096
6 · The paper itself

Abstract

The use of various blood flow control methods in neurovascular interventions is crucial for reducing postoperative complications. Neurosurgeons worldwide use different methods, such as contact Dopplerography, intraoperative indocyanine videoangiography (ICG) video angiography, fluorescein angiography, flowmetry, intraoperative angiography, and direct angiography. However, there is no noninvasive method that can assess the presence of blood flow in the vessels of the brain without the introduction of fluorescent substances throughout the intervention. The real-time laser-speckle contrast imaging (LSCI) method was studied for its effectiveness in controlling blood flow in standard cerebrovascular surgery cases in rat common carotid arteries, such as proximal occlusion, trapping, reperfusion, anastomosis, and intraoperative vessel thrombosis. The real-time LSCI method is a promising method for use in neurosurgical practice. This approach allows timely diagnosis of intraoperative disturbance of blood flow in vessels in cases of clip occlusion or thrombosis. Additionally, LSCI allows us to reliably confirm the functioning of the anastomosis and reperfusion after removal of the clips and thrombolysis in real time. An unresolved limitation of the method is noise from movements, but this does not reduce the value of the method. Additional research is required to improve the quality of the data obtained.

Indexed as

Indocyanine GreenThrombosisAnimalsColoring AgentsFluorescein AngiographyLaser Speckle Contrast ImagingRatsColoring AgentsIndocyanine Green

Identifiers

PMID38242903
PMCPMC10799050
OpenAlexW4391023789

What OpenQuestion holds

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LicenceCC BY
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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.