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PubMed Publications| Keyword search (4,164 papers available) |  |
"fat infiltration" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Ultrasound and MRI-based evaluation of relationships between morphological and mechanical properties of the lower lumbar multifidus muscle in chronic low back pain | Naghdi N; Masi S; Bertrand C; Rosenstein B; Cohen-Adad J; Rivaz H; Roy M; Fortin M; | 40488869 HKAP |
| 2 | MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle | McKay MJ; Weber KA; Wesselink EO; Smith ZA; Abbott R; Anderson DB; Ashton-James CE; Atyeo J; Beach AJ; Burns J; Clarke S; Collins NJ; Coppieters MW; Cornwall J; Crawford RJ; De Martino E; Dunn AG; Eyles JP; Feng HJ; Fortin M; Franettovich Smith MM; Galloway G; Gandomkar Z; Glastras S; Henderson LA; Hides JA; Hiller CE; Hilmer SN; Hoggarth MA; Kim B; Lal N; LaPorta L; Magnussen JS; Maloney S; March L; Nackley AG; O' Leary SP; Peolsson A; Perraton Z; Pool-Goudzwaard AL; Schnitzler M; Seitz AL; Semciw AI; Sheard PW; Smith AC; Snodgrass SJ; Sullivan J; Tran V; Valentin S; Walton DM; Wishart LR; Elliott JM; | 39590726 HKAP |
| 3 | Morphological Changes of Deep Extensor Neck Muscles in Relation to the Maximum Level of Cord Compression and Canal Compromise in Patients With Degenerative Cervical Myelopathy | Naghdi N; Elliott JM; Weber MH; Fehlings MG; Fortin M; | 36289049 PERFORM |
| 4 | Paraspinal Muscle Changes in Individuals with and without Chronic Low Back Pain over a 4-Month Period: A Longitudinal MRI Study | Anstruther M; Sean M; Tétreault P; Fortin M; | 38541216 SOH |
| 5 | Thresholding approaches for estimating paraspinal muscle fat infiltration using T1- and T2-weighted MRI: Comparative analysis using water-fat MRI | Ornowski J; Dziesinski L; Hess M; Krug R; Fortin M; Torres-Espin A; Majumdar S; Pedoia V; Bonnheim NB; Bailey JF; | 38222819 HKAP |
| 6 | PILLAR: ParaspInaL muscLe segmentAtion pRoject - a comprehensive online resource to guide manual segmentation of paraspinal muscles from magnetic resonance imaging | Anstruther M; Rossini B; Zhang T; Liang T; Xiao Y; Fortin M; | 37996857 SOH |
| Title: | PILLAR: ParaspInaL muscLe segmentAtion pRoject - a comprehensive online resource to guide manual segmentation of paraspinal muscles from magnetic resonance imaging | ||||
| Authors: | Anstruther M, Rossini B, Zhang T, Liang T, Xiao Y, Fortin M | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/37996857/ | ||||
| DOI: | 10.1186/s12891-023-07029-x | ||||
| Publication: | BMC musculoskeletal disorders | ||||
| Keywords: | Fat infiltration; Low back pain; Lumbar spine; Magnetic resonance imaging; Manual segmentation; | ||||
| PMID: | 37996857 | Category: | Date Added: | 2023-11-24 | |
| Dept Affiliation: |
SOH
1 Department Health Kinesiology and Applied Physiology, Concordia University, 7141 Sherbrooke Street W, SP-165.29, Montreal, QC, H4B 1R6, Canada. 2 Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada. 3 School of Health, Concordia University, Montreal, QC, Canada. 4 Department Health Kinesiology and Applied Physiology, Concordia University, 7141 Sherbrooke Street W, SP-165.29, Montreal, QC, H4B 1R6, Canada. maryse.fortin@concordia.ca. 5 School of Health, Concordia University, Montreal, QC, Canada. maryse.fortin@concordia.ca. 6 Centre de Recherche Interdisciplinaire en Réadaptation (CRIR), Montreal, QC, Canada. maryse.fortin@concordia.ca. |
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Description: |
Background: There is an increasing interest in assessing paraspinal morphology and composition in relation to low back pain (LBP). However, variations in methods and segmentation protocols contribute to the inconsistent findings in the literature. We present an on-line resource, the ParaspInaL muscLe segmentAtion pRoject (PILLAR, https://projectpillar.github.io/ ), to provide a detailed description and visual guide of a segmentation protocol by using the publicly available ITK-SNAP software and discuss related challenges when performing paraspinal lumbar muscles segmentations from magnetic resonance imaging (MRI). Methods: T2-weighted and corresponding fat-water IDEAL axial MRI from 3 males and 3 females (2 chronic LBP and 1 control for each sex) were used to demonstrate our segmentation protocol for each lumbar paraspinal muscle (erector spinae, lumbar multifidus, quadratus lumborum and psoas) and lumbar spinal level (L1-L5). Results: Proper segmentation requires an understanding of the anatomy of paraspinal lumbar muscles and the variations in paraspinal muscle morphology and composition due to age, sex, and the presence of LBP or related spinal pathologies. Other challenges in segmentation includes the presence and variations of intramuscular and epimuscular fat, and side-to-side asymmetry. Conclusion: The growing interest to assess the lumbar musculature and its role in the development and recurrence of LBP prompted the need for comprehensive and easy-to-follow resources, such as the PILLAR project to reduce inconsistencies in segmentation protocols. Standardizing manual muscle measurements from MRI will facilitate comparisons between studies while the field is progressively moving towards the automatization of paraspinal muscle measurements for large cohort studies. |
