Evidence map›Paper›PMID 33015576›Full record

ArticleJOR spine2020

Quantitative identification and segmentation repeatability of thoracic spinal muscle morphology.

Anoosha Pai S, Honglin Zhang, Jason R Shewchuk, Bedoor Al Omran, John Street, David Wilson, Majid Doroudi, Stephen H M Brown, Thomas R Oxland

Registry-linked trialAbstract read
In one paragraph

Article in JOR spine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06729281 (The Effect of Kinesio Taping on Posture in Healthy Young Adults), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

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.

NCT06729281 naactive not recruitingnot on this mapstarted 2024, after this paper: background citation

The Effect of Kinesio Taping on Posture in Healthy Young Adults

TypeinterventionalSponsorElem YorulmazRan2024 to 2024Enrolled100ConditionsHealthy Young Adults Who Are Health Care Workers at Haydarpaşa Numune Training and Research HospitalArmskinesio tape
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Anoosha Pai SSchool of Biomedical Engineering University of British Columbia Vancouver Canada.
Honglin ZhangCentre for Hip Health and Mobility University of British Columbia Vancouver Canada.
Jason R ShewchukDepartment of Radiology Vancouver General Hospital Vancouver Canada.
Bedoor Al OmranDepartment of Radiology Vancouver General Hospital Vancouver Canada.
John StreetICORD University of British Columbia Vancouver Canada.
David WilsonICORD University of British Columbia Vancouver Canada.
Majid DoroudiDepartment of Cellular and Physiological Sciences University of British Columbia Vancouver Canada.
Stephen H M BrownDepartment of Human Health and Nutritional Sciences University of Guelph Guelph Canada.
Thomas R OxlandICORD University of British Columbia Vancouver Canada.ORCID https://orcid.org/0000-0003-3556-6525

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMRI derived spinal-muscle morphology measurements have potential diagnostic, prognostic, and therapeutic applications in spinal health. Muscle morphology in the thoracic spine is an important determinant of kyphosis severity in older adults. However, the literature on quantification of spinal muscles to date has been limited to cervical and lumbar regions. Hence, we aim to propose a method to quantitatively identify regions of interest of thoracic spinal muscle in axial MR images and investigate the repeatability of their measurements.

methodsMiddle (T4-T5) and lower (T8-T9) thoracic levels of six healthy volunteers (age 26 ± 6 years) were imaged in an upright open scanner (0.5T MROpen, Paramed, Genoa, Italy). A descriptive methodology for defining the regions of interest of trapezius, erector spinae, and transversospinalis in axial MR images was developed. The guidelines for segmentation are laid out based on the points of origin and insertion, probable size, shape, and the position of the muscle groups relative to other recognizable anatomical landmarks as seen from typical axial MR images. 2D parameters such as muscle cross-sectional area (CSA) and muscle position (radius and angle) with respect to the vertebral body centroid were computed and 3D muscle geometries were generated. Intra and inter-rater segmentation repeatability was assessed with intraclass correlation coefficient (ICC (3,1)) for 2D parameters and with dice coefficient (DC) for 3D parameters.

resultsIntra and inter-rater repeatability for 2D and 3D parameters for all muscles was generally good/excellent (average ICC (3,1) = 0.9 with ranges of 0.56-0.98; average DC = 0.92 with ranges from 0.85-0.95).

conclusionThe guidelines proposed are important for reliable MRI-based measurements and allow meaningful comparisons of muscle morphometry in the thoracic spine across different studies globally. Good segmentation repeatability suggests we can further investigate the effect of posture and spinal curvature on muscle morphology in the thoracic spine.

Indexed as

erector spinaemagnetic resonance imagingmanual segmentationmuscle morphometryparaspinal muscleregion of interestthoracic muscletransversospinalistrapeziusupright open MRI

Identifiers

PMID33015576
PMCPMC7524235

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Registered trials

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.