Evidence map›Paper›PMID 38463389›Full record

ArticleExperimental biology and medicine (Maywood, N.J.)2024

Ultrasound-based assessment of the expression of inflammatory markers in the rectus femoris muscle of rats.

Bahareh Ahmadi, Felipe C K Duarte, John Srbely, Pawel M Bartlewski

Abstract read
In one paragraph

Article in Experimental biology and medicine (Maywood, N.J.), 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

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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

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

4 authors.

Bahareh AhmadiDepartment of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada.
Felipe C K DuarteSchool of Health, Medical and Applied Sciences, Central Queensland University, Brisbane, QLD, Australia.
John SrbelyDepartment of Human Health and Nutritional Sciences, College of Biological Sciences, University of Guelph, Guelph, ON, Canada.
Pawel M BartlewskiDepartment of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasonographic characteristics of skeletal muscles are related to their health status and functional capacity, but they still provide limited information on muscle composition during the inflammatory process. It has been demonstrated that an alteration in muscle composition or structure can have disparate effects on different ranges of ultrasonogram pixel intensities. Therefore, monitoring specific clusters or bands of pixel intensity values could help detect echotextural changes in skeletal muscles associated with neurogenic inflammation. Here we compare two methods of ultrasonographic image analysis, namely, the echointensity (EI) segmentation approach (EI banding method) and detection of selective pixel intensity ranges correlated with the expression of inflammatory regulators using an in-house developed computer algorithm (r-Algo). This study utilized an experimental model of neurogenic inflammation in segmentally linked myotomes (i.e., rectus femoris (RF) muscle) of rats subjected to lumbar facet injury. Our results show that there were no significant differences in RF echotextural variables for different EI bands (with 50- or 25-pixel intervals) between surgery and sham-operated rats, and no significant correlations among individual EI band pixel characteristics and protein expression of inflammatory regulators studied. However, mean numerical pixel values for the pixel intensity ranges identified with the proprietary r-Algo computer program correlated with protein expression of ERK1/2 and substance P (both 86-101-pixel ranges) and CaMKII (86-103-pixel range) in RF, and were greater (

Indexed as

Neurogenic InflammationQuadriceps MuscleAnimalsImage Processing, Computer-AssistedMuscle, SkeletalRatsUltrasonographyfirst order echotextural variablesinflammatory regulatorsneurogenic inflammationratrectus femoris

Identifiers

PMID38463389
PMCPMC10911122

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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.