Keyword search (3,157 papers available)


Seasonal Changes in Lumbar Multifidus Muscle in University Rugby Players.

Author(s): Roy A, Rivaz H, Rizk A, Frenette S, Boily M, Fortin M

PURPOSE: Although smaller lumbar multifidus muscle (LMM) was reported to be a strong predictor of lower limb injury (LLI) in Australian Football League (AFL) players, LMM morphology has not been investigated in rugby athletes. This study examined seasonal c...

Article GUID: 32925493
The effect of low back pain and lower limb injury on lumbar multifidus muscle morphology and function in university soccer players.

Author(s): Nandlall N, Rivaz H, Rizk A, Frenette S, Boily M, Fortin M

BMC Musculoskelet Disord. 2020 Feb 12;21(1):96 Authors: Nandlall N, Rivaz H, Rizk A, Frenette S, Boily M, Fortin M

Article GUID: 32050966
3D normalized cross-correlation for estimation of the displacement field in ultrasound elastography.

Author(s): Mirzaei M, Asif A, Fortin M, Rivaz H

Ultrasonics. 2019 Nov 09;102:106053 Authors: Mirzaei M, Asif A, Fortin M, Rivaz H

Article GUID: 31790861
Association Between Paraspinal Muscle Morphology, Clinical Symptoms, and Functional Status in Patients With Degenerative Cervical Myelopathy.

Author(s): Fortin M, Dobrescu O, Courtemanche M, Sparrey CJ, Santaguida C, Fehlings MG, Weber MH

Spine (Phila Pa 1976). 2017 Feb 15;42(4):232-239 Authors: Fortin M, Dobrescu O, Courtemanche M, Sparrey CJ, Santaguida C, Fehlings MG, Weber MH

Article GUID: 28207658
Relationship between cervical muscle morphology evaluated by MRI, cervical muscle strength and functional outcomes in patients with degenerative cervical myelopathy.

Author(s): Fortin M, Wilk N, Dobrescu O, Martel P, Santaguida C, Weber MH

Musculoskelet Sci Pract. 2018 12;38:1-7 Authors: Fortin M, Wilk N, Dobrescu O, Martel P, Santaguida C, Weber MH

Article GUID: 30059855
Corrigendum to "Ultrasonography of multifidus muscle morphology and function in ice hockey players with and without low back pain" [Physical Therapy in Sport 37 (2019) 77-85].

Author(s): Fortin M, Rizk A, Frenette S, Boily M, Rivaz H

Phys Ther Sport. 2019 Apr 17;38:16 Authors: Fortin M, Rizk A, Frenette S, Boily M, Rivaz H PMID: 31005031 [PubMed - as supplied by publisher]

Article GUID: 31005031
REtroSpective Evaluation of Cerebral Tumors (RESECT): A clinical database of pre-operative MRI and intra-operative ultrasound in low-grade glioma surgeries.

Author(s): Xiao Y, Fortin M, Unsgård G, Rivaz H, Reinertsen I

Med Phys. 2017 Jul;44(7):3875-3882 Authors: Xiao Y, Fortin M, Unsgård G, Rivaz H, Reinertsen I

Article GUID: 28391601
Evaluation of an automated thresholding algorithm for the quantification of paraspinal muscle composition from MRI images.

Author(s): Fortin M, Omidyeganeh M, Battié MC, Ahmad O, Rivaz H

Biomed Eng Online. 2017 May 22;16(1):61 Authors: Fortin M, Omidyeganeh M, Battié MC, Ahmad O, Rivaz H

Article GUID: 28532491
Association between paraspinal muscle morphology, clinical symptoms and functional status in patients with lumbar spinal stenosis.

Author(s): Fortin M, Lazáry À, Varga PP, Battié MC

Eur Spine J. 2017 10;26(10):2543-2551 Authors: Fortin M, Lazáry À, Varga PP, Battié MC

Article GUID: 28748488
Quantitative Magnetic Resonance Imaging Analysis of the Cervical Spine Extensor Muscles: Intrarater and Interrater Reliability of a Novice and an Experienced Rater.

Author(s): Fortin M, Dobrescu O, Jarzem P, Ouellet J, Weber MH

Asian Spine J. 2018 Feb;12(1):94-102 Authors: Fortin M, Dobrescu O, Jarzem P, Ouellet J, Weber MH

Article GUID: 29503688
Population-averaged MRI atlases for automated image processing and assessments of lumbar paraspinal muscles.

Author(s): Xiao Y, Fortin M, Battié MC, Rivaz H

Eur Spine J. 2018 Oct;27(10):2442-2448 Authors: Xiao Y, Fortin M, Battié MC, Rivaz H

Article GUID: 30051147
Ultrasonography of multifidus muscle morphology and function in ice hockey players with and without low back pain.

Author(s): Fortin M, Rizk A, Frenette S, Boily M, Rivaz H

Phys Ther Sport. 2019 Mar 13;37:77-85 Authors: Fortin M, Rizk A, Frenette S, Boily M, Rivaz H

Article GUID: 30897493
Are Magnetic Resonance Imaging Technologies Crucial to Our Understanding of Spinal Conditions?

Author(s): Crawford RJ, Fortin M, Weber KA, Smith A, Elliott JM

J Orthop Sports Phys Ther. 2019 Mar 26;:1-32 Authors: Crawford RJ, Fortin M, Weber KA, Smith A, Elliott JM

Article GUID: 30913967
Title:Are Magnetic Resonance Imaging Technologies Crucial to Our Understanding of Spinal Conditions?
Authors:Crawford RJ,  Fortin M,  Weber KA,  Smith A,  Elliott JM
Link:https://www.ncbi.nlm.nih.gov/pubmed/30913967?dopt=Abstract
Category:J Orthop Sports Phys Ther
PMID:30913967
Dept Affiliation: PERFORM
1 Optical-Bio Micro Systems Laboratory, Mechanical, Industrial and Aerospace Engineering Department, Concordia University, 1455 De Maisonneuve Blvd. W. Montréal, QC, H3G1M8, Canada.

Description:

Are Magnetic Resonance Imaging Technologies Crucial to Our Understanding of Spinal Conditions?

J Orthop Sports Phys Ther. 2019 Mar 26;:1-32

Authors: Crawford RJ, Fortin M, Weber KA, Smith A, Elliott JM

Abstract

SYNOPSIS: The development of persistent spinal (traumatic and non-traumatic) pain is common and contributes to high societal and personal costs, globally. There is an acknowledged urgency for new and interdisciplinary approaches to the problem, and soft tissues including skeletal muscles, the spinal cord, and brain are rightly receiving increased attention as important biological contributors. In reaction to recent suspicion of and questioned value for imaging-based findings, this paper serves to recognize the promise that the technological evolution of imaging techniques, and particularly magnetic resonance imaging (MRI), is allowing in characterizing previously less visible morphology. We emphasize the value for quantification and data analysis of several contributors in the biopsychosocial model for understanding spinal pain. Further, we highlight emerging evidence regarding the pathobiology of changes to muscle composition (eg, atrophy, fatty infiltration) as well as advancements in neuro- and musculoskeletal imaging techniques (eg, fat/water imaging, functional MRI, diffusion imaging, magnetization transfer imaging) of these important soft tissues. These non-invasive and objective data sources may complement known prognostic factors of poor recovery, patient self-report, diagnostic tests, and the -omics fields. When combined, advanced 'big-data' analyses may assist in identifying associations previously not considered. Our clinical commentary is supported by empirical findings that may orient future efforts towards collaborative conversation and hypotheses-generation, interdisciplinary research, translating across a number of health fields. Our emphasis is that MRI technologies and research are crucial to the advancement of our understanding of the complexities of spinal conditions. J Orthop Sports Phys Ther, Epub 26 Mar 2019. doi:10.2519/jospt.2019.8793.

PMID: 30913967 [PubMed - as supplied by publisher]