Can Imaging Characteristics on Magnetic Resonance Imaging Predict the Acuity of a Lumbar Disc Herniation?
Publication/Presentation Date
6-1-2021
Abstract
BACKGROUND: Currently, no authors of existing studies have attempted to classify the signal characteristics of disc herniation on magnetic resonance imaging (MRI) and their temporal relationship to symptoms of lumbar radiculopathy. The purpose of this study was to determine whether the MRI signal characteristics are predictive of acuity of symptoms in patients with lumbar disc herniation (LDH).
METHODS: A retrospective cohort study was conducted on patients treated at an academic center for LDH from 2015 to 2018. Patients were divided into 2 groups based on symptom duration (acute: ≤6 weeks; or chronic: >4 months). Two independent observers measured T1, T2 signal, and other MRI characteristics at the affected disc level. Univariate analysis was used to compare differences between groups. Multiple logistic regression was used to determine predictors of acuity.
RESULTS: Eighty-nine patients were included (33 acute, 56 chronic) with no significant baseline differences between groups. Rater 2 observed a higher proportion of disc bulges in the chronic group (
CONCLUSIONS: Other than Pfirrmann grade or vertebral body spurring, no MRI characteristics could be reliably identified that correlate with acuity of symptoms.
LEVEL OF EVIDENCE: 3.
Volume
15
Issue
3
First Page
458
Last Page
465
ISSN
2211-4599
Published In/Presented At
Divi, S. N., Goyal, D. K. C., Makanji, H. S., Kepler, C. K., Anderson, D. G., Warner, E. D., Galetta, M. S., Mujica, V. E., Houlihan, N. V., Kaye, I. D., Kurd, M. F., Woods, B. I., Radcliff, K. E., Rihn, J. A., Hilibrand, A. S., Vaccaro, A. R., & Schroeder, G. D. (2021). Can Imaging Characteristics on Magnetic Resonance Imaging Predict the Acuity of a Lumbar Disc Herniation?. International journal of spine surgery, 15(3), 458–465. https://doi.org/10.14444/8032
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
34074744
Department(s)
Administration and Leadership
Document Type
Article