Stone Sima

Spine Labs at St George and Sutherland Clincal School at UNSW, NSW, Australia

This delegate is presenting an abstract at this event.

PhD Student at Spine Labs, St George and Sutherland Clinical School, University of New South Wales, focusing on the study of degenerative conditions in the lumbar spine and low back pain.

Presentations this author is a contributor to:

Association between non-spinal comorbid medical conditions and neuropathic low back pain. – A further unravelling of pain complexities in the context of back pain. (107869)

11:45 AM

Stone Sima

Session 2

Establishing a Comprehensive Care Paradigm: Insights from a Specialised Combined Scoliosis Clinic in Australia (#38)

9:45 AM

Alisha Sial

Morning Tea & Poster Viewing

Imaging predictors of progression of lumbar spondylolysis to spondylolisthesis: a systematic review (#14)

12:09 PM

Stone Sima

Lightning Talk I

Decay Variance (DeVa): A novel magnetic resonance imaging postprocessing technique for the assessment of intervertebral disk degeneration and low back pain (#39)

9:45 AM

Stone Sima

Morning Tea & Poster Viewing

Trident Approach to Chronic Low Back Pain Classification: A Comprehensive Cohort Study of Patients with Nociceptive and Neuropathic Pain Assessed by the PainDETECT Questionnaire (#43)

9:45 AM

Stone Sima

Morning Tea & Poster Viewing

Stone Sima

Spine Labs at St George and Sutherland Clincal School at UNSW, NSW, Australia

Association between non-spinal comorbid medical conditions and neuropathic low back pain. – A further unravelling of pain complexities in the context of back pain. (107869)

Establishing a Comprehensive Care Paradigm: Insights from a Specialised Combined Scoliosis Clinic in Australia (#38)

Imaging predictors of progression of lumbar spondylolysis to spondylolisthesis: a systematic review (#14)

Decay Variance (DeVa): A novel magnetic resonance imaging postprocessing technique for the assessment of intervertebral disk degeneration and low back pain (#39)

Trident Approach to Chronic Low Back Pain Classification: A Comprehensive Cohort Study of Patients with Nociceptive and Neuropathic Pain Assessed by the PainDETECT Questionnaire (#43)

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