Clinical Effect of Transverse Process Hook with K-Means Clustering-Based Stratification of Computed Tomography Hounsfield Unit at Upper Instrumented Vertebra Level in Adult Spinal Deformity Patients

Jongwon Cho, Seungjun Ryu, Hyun Jun Jang, Jeong Yoon Park, Yoon Ha, Sung Uk Kuh, Dong Kyu Chin, Keun Su Kim, Yong Eun Cho, Kyung Hyun Kim

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: This study aimed to investigate the efficacy of transverse process (TP) hook system at the upper instrumented verteb(UIV) for preventing screw pullout in adult spinal deformity surgery using the pedicle Hounsfield unit (HU) stratification based oK-means clustering. Methods: We retrospectively reviewed 74 patients who underwent deformity correction surgery between 2011 and 2020 and were followed up for >12 months. Pre-and post-operative data were used to determine the incidence of screw pullout, UIV TP hook implementation, vertebral body HU, pedicle HU, and patient outcomes. Data was then statistically analyzed for assessment of efficacy and risk prediction using stratified HU at UIV level alongside the effect of the TP hook system. Results: The screw pullout rate was 36.4% (27/74). Perioperative radiographic parameters were not significantly different between the pullout and non-pullout groups. The vertebral body HU and pedicle HU were significantly lower in the pullout group. K-means clustering stratified the vertebral body HU ≥205.3, <137.2, and pedicle HU ≥243.43, <156.03. The pullout rate significantly decreases in patients receiving the hook system when the pedicle HU was from ≥156.03 to < 243.43 (p<0.05), but the difference was not statistically significant in the vertebra HU stratified groups and when pedicle HU was ≥243.43 or <156.03. The postoperative clinical outcomes improved significantly with the implementation of the hook system. Conclusion: The UIV hook provides better clinical outcomes and can be considered a preventative strategy for screw-pullout in the certain pedicle HU range.

Original languageEnglish
Pages (from-to)44-52
Number of pages9
JournalJournal of Korean Neurosurgical Society
Volume66
Issue number1
DOIs
Publication statusPublished - 2023 Jan

Bibliographical note

Publisher Copyright:
© 2023 The Korean Neurosurgical Society.

All Science Journal Classification (ASJC) codes

  • Surgery
  • General Neuroscience
  • Clinical Neurology

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