Hounsfield Unit as a Predictor of Adjacent-Level Disease in Lumbar Interbody Fusion Surgery

Frank De Stefano1, Turki Elarjani2, Tyler Warner3

  • 1School of Medicine, Kansas City University, Kansas City, Missouri, USA.

Neurosurgery
|April 4, 2022
PubMed

Insights

Lower preoperative Hounsfield units (HUs) in patients undergoing spinal fusion predict the need for future surgery due to adjacent segment disease. This finding highlights HUs as a valuable indicator for surgical planning and patient outcomes.

Area of Science:

  • Spine Surgery
  • Radiology
  • Orthopedics

Background:

  • Bone density is crucial for successful spinal fusion.
  • Hounsfield units (HUs) on CT scans serve as an indirect measure of bone density.
  • Low preoperative HUs may indicate underlying systemic disease and predict reoperation needs.

Purpose of the Study:

  • To investigate the association between preoperative Hounsfield units (HUs) and the development of adjacent segment disease requiring surgical intervention after lumbar interbody fusion.
  • To determine if HUs can predict the need for reoperation in spinal fusion patients.

Main Methods:

  • Retrospective review of 793 patients who underwent lumbar interbody fusion between 2007 and 2016.
  • Measurement of preoperative computed tomography (CT) Hounsfield units (HUs) from sagittal views of the vertebral body.
  • Analysis of patient follow-up data to identify cases of adjacent segment disease requiring surgical intervention.

Main Results:

  • Patients who did not require reoperation for adjacent segment disease had significantly higher mean preoperative HUs (180.7 ± 70.0) compared to those who did (148.4 ± 8.1).
  • Preoperative CT Hounsfield units (HUs) were identified as a significant independent predictor for adjacent-level surgery after spinal arthrodesis (OR = 0.891).

Conclusions:

  • Higher preoperative Hounsfield units (HUs) are associated with a lower likelihood of requiring reoperation for adjacent segment disease after lumbar interbody fusion.
  • Preoperative CT HUs are a valuable predictive tool for identifying patients at higher risk of adjacent segment disease and subsequent surgical intervention.
Abstract

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