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Dr. Dinesh Kumbhare

Adjunct Professor

McMaster School of Biomedical Engineering

Expertise:
Biomedical Engineering research clusters: imaging, sensing and detection, therapeutics
Areas of Specialization:
Research Clusters:

Overview

Dinesh is an Associate Professor and Clinician Scientist in the Department of Medicine at the University of Toronto within the Division of Physical Medicine and Rehabilitation. He is a scientist at the Toronto Rehabilitation Institute (TRI) research institute, KITE. He is cross-appointed to the Institute of Biomedical and Biomaterial Engineering, Faculty of Kinesiology & Physical Education and Institute of Health Policy, Management and Evaluation at the University of Toronto. His research interests are in neurophysiology and MRI and ultrasound imaging evaluation of myofascial pain syndrome, and chronic pain.

Dinesh was the principal author of the book, Buschbacher’s Manual of Nerve Conduction Studies. According to the Neurodiagnostic Journal, this is “the gold standard in many EMG labs, this manual is a practical working reference for performing a wide variety of common nerve conduction studies. It provides both practicing clinicians and trainees with an impressive database of reference values they can use to interpret nerve conduction results with confidence”. He is a section editor for the Physiatry Reviews for Evidence in Practice and Resident, Fellow Section with the American Journal of Physical Medicine and Rehabilitation.

He is leading the Pain Research Institute at the Toronto Rehabilitation Institute, a newly established program that will foster a collaborative environment that brings together multidisciplinary and interprofessional constituency of clinicians and researchers.

Education

  • MSc in Health Research Management from McMaster University.
  • PhD in Biomedical Engineering at the University of Toronto.

Publications

Selected

Behr M, Saiel S, Evans E, Kumbhare D (2020)

Machine Learning Diagnostic Modeling for Classifying Fibromyalgia Using B-mode Ultrasound Images

Ultrasonic Imaging 42(3), 135–147

Vadasz B, Gohari J, West D, Grosman-Rimon L, Wright E, Ozcakar L, Kumbhare D (2020)

Improving characterization and diagnosis quality of Myofascial Pain Syndrome: a systematic review of the clinical and biomarker overlap with Delayed Onset Muscle Soreness

European Journal of Physical and Rehabilitation Medicine, DOI:10.23736/S1973-9087.20.05820-7

Behr M, McNabb E, Noseworthy M, Sidkar S, Kumbhare D (2019)

Automatic ROI Placement in the Upper Trapezius Muscle in B-mode Ultrasound Images

Ultrason Imaging. 1;41(4):231-246.

Ahmed S, Haddad C, Subramaniam S, Khattab S, Kumbhare DA (2019)

The effect of electric stimulation techniques on pain and tenderness at the myofascial trigger point: a systematic review and meta-analysis

Pain Medicine. DOI:10.1093/pm/pny278.

Ozcakar L, Ata AM, Kaymak B, Kara M, Kumbhare D (2018)

Ultrasound imaging for sarcopenia, spasticity and painful muscle syndromes

Curr Opinion in Supportive & Palliative Care. 12(3): 373-381

Kumbhare D, Ahmed S, Watter S (2018)

A narrative review on the difficulties associated with fibromyalgia diagnosis

Ther Adv Musculoskel Dis. 10(1): 13-26.

Nasirzadeh Y, Ahmed S, Monteiro S, Grosman-Rimon L, Srbely J, Kumbhare DA (2018)

A survey of healthcare practitioners on myofascial pain criteria

Pain Practice. 18(5): 631-640

Kumbhare DA, Ahmed S, Behr M, Noseworthy M (2018)

Quantitative ultrasound using texture analysis of myofascial pain syndrome in the trapezius

Crit Rev Biomed Eng. 44(6):411-422.

View External Publications