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Multifidus Degeneration: The Key Imaging Predictor of Adjacent Segment Disease
Marco D Burkhard1, Erika Chiapparelli1, Jan Hambrecht1
1Department of Orthopaedic Surgery, Weill Cornell Medicine, Hospital for Special Surgery, New York, NY, USA.
Abstract:
Study DesignRetrospective cohort study.ObjectivesTo identify imaging predictors on pre- and perioperative imaging that are associated with a future revision surgery for adjacent segment disease (ASD) following lumbar fusion.MethodsPatients undergoing open posterior lumbar fusion between 2014-2022 were followed-up for >2-year. The initial MRI was evaluated for disc degeneration by Pfirrmann (grade 1-5); Modic changes (0-3); as well as fatty infiltration and functional cross-sectional area (fCSA) of the multifidus, erector spinae, and psoas. Spinopelvic alignment was measured pre- and postoperatively.ResultsOf 216 patients, 14.8% (n = 32) required revision surgery for ASD in the further course. There were no significant differences in Modic changes or Pfirrmann grades between the ASD group and controls. Fatty infiltration was significantly higher in the ASD group for both the erector spinae (40.5% vs 36.9%, P = 0.043) and multifidus muscles (61.0% vs 53.9%, P = 0.003). Additionally, the multifidus fCSA was smaller in patients who developed ASD (5.7 cm2 vs 6.7 cm2). Pre- and postoperative spinopelvic parameters were not significantly different between groups, and no other MRI measurements showed a significant difference. In a multivariable logistic regression model adjusting for age and sex, multifidus fatty infiltration emerged as the only significant predictor of ASD revision surgery (P = 0.004). Patients with more than 58% multifidus fatty infiltration had over double the risk of developing ASD (OR 2.7, 95% CI: 1.1-6.5, P = 0.032).ConclusionsMultifidus fatty infiltration is the key imaging predictor for the development of ASD requiring surgical revision. Disc degeneration and spinopelvic alignment appear to have less impact.
Insights
Multifidus muscle fatty infiltration on MRI is a key predictor of adjacent segment disease (ASD) requiring revision surgery after lumbar fusion. Higher infiltration significantly increases the risk of developing ASD, impacting surgical outcomes.
Area of Science:
- Spine Surgery
- Radiology
- Biomedical Engineering
Background:
- Adjacent segment disease (ASD) is a common complication following lumbar fusion surgery.
- Identifying reliable predictors for ASD is crucial for improving patient outcomes and reducing revision rates.
- Pre- and perioperative imaging findings may offer insights into the risk of developing ASD.
Purpose of the Study:
- To identify imaging predictors on pre- and perioperative imaging associated with future revision surgery for adjacent segment disease (ASD) after lumbar fusion.
- To evaluate the role of MRI-based muscle characteristics and spinopelvic alignment in predicting ASD.
Main Methods:
- Retrospective cohort study of 216 patients undergoing open posterior lumbar fusion (2014-2022).
- Preoperative MRI analysis included Pfirrmann disc degeneration, Modic changes, multifidus and erector spinae muscle fatty infiltration, and functional cross-sectional area (fCSA).
- Pre- and postoperative spinopelvic alignment parameters were measured; patients were followed for >2 years for revision surgery due to ASD.
Main Results:
- 14.8% of patients required revision surgery for ASD.
- Higher multifidus (61.0% vs 53.9%, P=0.003) and erector spinae (40.5% vs 36.9%, P=0.043) fatty infiltration were significantly associated with ASD.
- Multifidus fatty infiltration was the sole significant predictor of ASD revision surgery in multivariable analysis (P=0.004); >58% infiltration doubled the risk (OR 2.7).
Conclusions:
- Multifidus fatty infiltration on preoperative MRI is a significant imaging predictor for developing adjacent segment disease requiring surgical revision after lumbar fusion.
- Disc degeneration and spinopelvic alignment showed less impact on ASD development compared to multifidus muscle quality.
- Targeting muscle quality may be a future strategy to mitigate ASD risk.
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