Harwant Singh*

Department of Spine and Joint Clinic, Pantai Hospital Malaysia, Malaysia

*Corresponding Author: Harwant Singh, Department of Spine and Joint Clinic, Pantai Hospital Malaysia, Malaysia.

Received: December 27, 2022; Published: January 10, 2023

Abstract

Models do not replace skill or knowledge; they augment and inform it. Knowing their limitations is essential’…. Mark Bessoudo. I chose the above two quotations; as it is essential for understanding imaging of the spine, especially MRIs. The MRI does not replace skill and clinical interpretation of degenerative conditions of the spine; and we must avoid an over reliance of spine imaging to establish a diagnosis.

References

1. Alfred Korzybski. “Polish American Philosopher and Engineer” (1931).
2. Mark Bessoudo. “Connected Thinking” (2019): 5.
3. Rene Balza., et al. “Impact of Patient -Reported Symptom Information on Agreement in the MRI Diagnosis of Presumptive Lumbar Spine Generator”. American Journal of Roentgenology 217 (2021): 947-956
4. Michael C Fu., et al. “Interrater and intrarater agreements of magnetic resonance imaging findings in the lumbar spine: significant variability across degenerative conditions”. The Spine Journal 10 (2014): 2442-2448.
5. Nathan Wnuk., et al. “Magnetic Resonance Imaging of the lumbar spine: determining clinical impact and potential harm from overuse”. The Spine Journal 9 (2018): 1653-1658.
6. Herzog Elgort and Flanders Moley. “Variability in diagnostic error rates of 10 MRI centres performing lumbar MRI examinations on the same patient within a 3-week period”. The Spine Journal 17 (2017): 554-561.
7. Marten Annertz., et al. “(Lumbar spine radiography-unreliable diagnostic accuracy and negligible value for the patients) article in Swedish”. Lakartidningen 14 (2017): 114.

Citation

Citation: Harwant Singh. “The Appropriate use of Imaging in Spinal Conditions”.Acta Scientific Orthopaedics 6.2 (2023): 14-15.

Copyright

Copyright: © 2023 Harwant Singh. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.