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PubMed Publications| Keyword search (4,163 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: | MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle | ||||
| Authors: | 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 | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/39590726/ | ||||
| DOI: | 10.3390/jimaging10110262 | ||||
| Publication: | Journal of imaging | ||||
| Keywords: | MR imaging; artificial intelligence; machine learning; muscle fat infiltration; neural networks; normative reference data; public datasets; | ||||
| PMID: | 39590726 | Category: | Date Added: | 2024-11-26 | |
| Dept Affiliation: |
HKAP
1 Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia. 2 Division of Pain Medicine, Stanford University School of Medicine, Stanford University, Stanford, CA 94304, USA. 3 Faculty of Behavioural and Movement Sciences, Amsterdam Movement Sciences-Program Musculoskeletal Health, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, The Netherlands. 4 Department of Rehabilitation Medicine, University of Oklahoma, Norman, OK 73019, USA. 5 Department of Rehabilitation Medicine, University of Minnesota, Minneapolis, MN 55455, USA. 6 Faculty of Medicine, Health and Human Sciences, Macquarie University, Macquarie Park, NSW 2109, Australia. 7 Disability Prevention Program, Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN 38105, USA. 8 School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, 4072 QLD, Australia. 9 School of Health Sciences and Social Work, Griffith University, Brisbane, QLD 4111, Australia. 10 Otago Medical School, University of Otago, Dunedin 9016, New Zealand. 11 Faculty of Health Sciences, Curtin University, Perth, WA 6845, Australia. 12 Department of Health Science and Technology, Aalborg University, Gistrup, 9260 North Jutland, Denmark. 13 Northern Sydney Local Health District, The Kolling Institute, St Leonards, NSW 2065, Australia. 14 Department of Health, Kinesiology & Applied Physiology, Concordia University, Montreal, QC H4B 1R6, Canada. 15 Herston Imaging Research Facility, University of Queensland, Brisbane, QLD 4072, Australia. 16 Department of Physical Therapy, North Central College, Naperville, IL 60540, USA. 17 School of Rehabilitative and Health Sciences, Regis University, Denver, CO 80221, USA. 18 Center for Translational Pain Medicine, Department of Anesthesiology, School of Medicine, Duke University, Durham, NC 27710, USA. 19 Occupational and Environmental Medicine Centre, Department of Health Medicine and Caring Sciences, Unit of Clinical Medicine, Linköping University, 58183 Linköping, Sweden. 20 Department of Health Medicine and Caring Sciences, Unit of Physiotherapy, Linköping University, 58183 Linköping, Sweden. 21 School of Allied Health, La Trobe University, Melbourne, VIC 3086, Australia. 22 Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA. 23 School of Medicine, University of Colorado, Aurora, CO 80045, USA. 24 Discipline of Physiotherapy, University of Newcastle, Callaghan, NSW 2308, Australia. 25 Adelaide Medical School, University of Adelaide, Adelaide, SA 5005, Australia. 26 School of Health & Social Care, Edinburgh Napier University, Edinburgh, Scotland EH11 4BN, UK. 27 School of Physical Therapy, Western University, London, ON N6A 3K7, Canada. 28 School of Medicine and Dentistry, Griffith University, Brisbane, QLD 4111, Australia. |
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Description: |
Disorders affecting the neurological and musculoskeletal systems represent international health priorities. A significant impediment to progress in trials of new therapies is the absence of responsive, objective, and valid outcome measures sensitive to early disease changes. A key finding in individuals with neuromuscular and musculoskeletal disorders is the compositional changes to muscles, evinced by the expression of fatty infiltrates. Quantification of skeletal muscle composition by MRI has emerged as a sensitive marker for the severity of these disorders; however, little is known about the composition of healthy muscles across the lifespan. Knowledge of what is 'typical' age-related muscle composition is essential to accurately identify and evaluate what is 'atypical'. This innovative project, known as the MuscleMap, will achieve the first important steps towards establishing a world-first, normative reference MRI dataset of skeletal muscle composition with the potential to provide valuable insights into various diseases and disorders, ultimately improving patient care and advancing research in the field. |
