Can MRI Findings Predict Pain? New Research Sheds Light | Podcast Ep. 255

14 Dec 2020 · 16 min
15:45

Podcast episode (Evidence Based Chiropractor, host Dr. Jeff Langmaid) discussing a 2014 Spine study: "Correlation of pain with Objective Quantification of Magnetic Resonance images in Older Adults with Chronic Low Back Pain." The episode explains the study's percent MRI index (product of disc area and summed pixel intensities) and the seven MRI disc features graded to compute it: T2 signal intensity loss, disc extension beyond the inner space (bulge/herniation), nucleus pulposus shape, annular tears, Modic changes, endplate integrity, and osteophyte formation. The host emphasizes the paradox that many MRI findings appear in asymptomatic patients and describes Kirkaldy-Willis phases (dysfunction, unstable, stabilization) to explain why mid-life degenerative changes (≈40–65 yrs) often correlate most with pain while advanced stabilization in older adults may correlate less. Practical takeaways target chiropractors: use the seven features when reviewing lumbar MRIs, consider phase-based interpretation, and focus on functional improvement and non-surgical care to help patients through the mid-life pain window.

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