Evidence map›Paper›PMID 38729956›Full record

ArticleScientific reports2024

Quantification of attenuation and speckle features from endoscopic OCT images for the diagnosis of human brain glioma.

P V Aleksandrova, K I Zaytsev, P V Nikitin, A I Alekseeva, V Y Zaitsev, K B Dolganov, I V Reshetov, P A Karalkin, V N Kurlov, V V Tuchin and 1 more

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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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. Review
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

11 authors.

P V AleksandrovaProkhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia, 119991. aleksandrovapolina98@gmail.com.
K I ZaytsevProkhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia, 119991.
P V NikitinDepartment of Biomedical Engineering, University of Houston, Houston, TX, USA.
A I AlekseevaAvtsyn Research Institute of Human Morphology, FSBSI "Petrovsky National Research Centre of Surgery", Moscow, Russia, 117418.
V Y ZaitsevA.V. Gaponov-Grekhov Institute of Applied Physics of the Russian Academy of Sciences, Nizhny Novgorod, Russia, 603950.ORCID 0000-0002-2122-2943
K B DolganovProkhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia, 119991.
I V ReshetovInstitute for Cluster Oncology, Sechenov First Moscow State Medical University, Moscow, Russia, 119991.
P A KaralkinInstitute for Cluster Oncology, Sechenov First Moscow State Medical University, Moscow, Russia, 119991.
V N KurlovOsipyan Institute of Solid State Physics of the Russian Academy of Sciences, Chernogolovka, Russia, 142432.
V V TuchinScience Medical Center, Saratov State University, Saratov, Russia, 410000.ORCID 0000-0001-7479-2694
I N DolganovaOsipyan Institute of Solid State Physics of the Russian Academy of Sciences, Chernogolovka, Russia, 142432. in.dolganova@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Application of optical coherence tomography (OCT) in neurosurgery mostly includes the discrimination between intact and malignant tissues aimed at the detection of brain tumor margins. For particular tissue types, the existing approaches demonstrate low performance, which stimulates the further research for their improvement. The analysis of speckle patterns of brain OCT images is proposed to be taken into account for the discrimination between human brain glioma tissue and intact cortex and white matter. The speckle properties provide additional information of tissue structure, which could help to increase the efficiency of tissue differentiation. The wavelet analysis of OCT speckle patterns was applied to extract the power of local brightness fluctuations in speckle and its standard deviation. The speckle properties are analysed together with attenuation ones using a set of ex vivo brain tissue samples, including glioma of different grades. Various combinations of these features are considered to perform linear discriminant analysis for tissue differentiation. The results reveal that it is reasonable to include the local brightness fluctuations at first two wavelet decomposition levels in the analysis of OCT brain images aimed at neurosurgical diagnosis.

Indexed as

Brain NeoplasmsGliomaTomography, Optical CoherenceHumansWavelet Analysis

Identifiers

PMID38729956
PMCPMC11087587

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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.