Dinesh Kumbhare1, Saurabh Shaw2, Sara Ahmed3, Michael D Noseworthy4. 1. Department of Medicine, Division of Physical Medicine and Rehabilitation, Toronto Rehabilitation Institute, 550 University Ave, Suite 7-131, Toronto, ON, M5G 2A2, Canada. dinesh.kumbhare@uhn.ca. 2. Department of Psychology, McMaster University, Hamilton, Canada. 3. University of Toronto, Toronto, Canada. 4. Department of Electrical and Computer Engineering, McMaster University, Hamilton, Canada.
Abstract
PURPOSE: Ultrasound is a non-invasive quantitative method to characterize sonographic textures of skeletal muscles. To date, there is no information available on the trapezius muscle. This study assessed the trapezius muscles of patients with myofascial pain compared with normal healthy participants. METHODS: The trapezius muscles of 15 healthy and 17 myofascial pain participants were assessed using B-mode ultrasound to obtain 120 images for healthy and 162 images from myofascial pain participants. Texture features such as blob area, count and local binary patterns (LBP) were calculated. Multi-feature classification and analysis were performed using principal component analysis (PCA) and MANOVA to determine whether there were statistical differences. RESULTS: We demonstrate the two principal components composed of a combination of LBP and blob parameters which explain 92.55% of the cumulative variance of our data set. In addition, blob characteristics were significantly different between healthy and myofascial pain participants. CONCLUSION: Our study provides evidence that texture analysis techniques can differentiate between healthy and myofascial pain affected trapezius muscles. Further research is necessary to evaluate the nature of these differences.
PURPOSE: Ultrasound is a non-invasive quantitative method to characterize sonographic textures of skeletal muscles. To date, there is no information available on the trapezius muscle. This study assessed the trapezius muscles of patients with myofascial pain compared with normal healthy participants. METHODS: The trapezius muscles of 15 healthy and 17 myofascial painparticipants were assessed using B-mode ultrasound to obtain 120 images for healthy and 162 images from myofascial painparticipants. Texture features such as blob area, count and local binary patterns (LBP) were calculated. Multi-feature classification and analysis were performed using principal component analysis (PCA) and MANOVA to determine whether there were statistical differences. RESULTS: We demonstrate the two principal components composed of a combination of LBP and blob parameters which explain 92.55% of the cumulative variance of our data set. In addition, blob characteristics were significantly different between healthy and myofascial painparticipants. CONCLUSION: Our study provides evidence that texture analysis techniques can differentiate between healthy and myofascial pain affected trapezius muscles. Further research is necessary to evaluate the nature of these differences.
Authors: Felipe C K Duarte; Daniel W D West; Lukas D Linde; Samah Hassan; Dinesh A Kumbhare Journal: Curr Rheumatol Rep Date: 2021-07-08 Impact factor: 4.592