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Updated: Jun 9, 2025

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Unsupervised Clustering of Adult Spinal Deformity Patterns Predicts Surgical and Patient-Reported Outcomes.

Renaud Lafage1, Junho Song2, Jonathan Elysee1

  • 1Department of Orthopedic Surgery, Northwell Health, Lenox Hill Hospital, New York, NY, USA.

Global Spine Journal
|October 23, 2024
PubMed
Summary

Adult spinal deformity surgery benefits all patient clusters similarly, achieving comparable improvements in quality of life. However, severe sagittal deformity poses higher complication risks, including reoperation and implant failure.

Keywords:
adult spinal deformityartificial intelligenceclusteringmachine learningminimum clinically important differencepatient-reported outcomessagittal alignmentsagittal balancescoliosissurgical outcomes

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Area of Science:

  • Orthopedics
  • Spine Surgery
  • Medical Imaging Analysis

Background:

  • Adult spinal deformity (ASD) encompasses various radiographic patterns.
  • Artificial intelligence (AI) aids in classifying complex spinal deformities.
  • Understanding distinct outcomes for ASD subtypes is crucial for surgical planning.

Purpose of the Study:

  • To determine if AI-identified radiographic clusters of ASD are associated with different surgical outcomes.
  • To compare health-related quality of life (HRQOL) and complication rates among ASD clusters post-surgery.

Main Methods:

  • Retrospective cohort study of 1062 adult spinal deformity patients.
  • Patients classified into Moderate Sagittal (Mod Sag), Severe Sagittal (Sev Sag), Coronal, and Hyper-Thoracic Kyphosis (Hyper-TK) clusters using AI.
  • Comparison of surgical data, HRQOL, and complication outcomes across clusters.

Main Results:

  • All ASD clusters showed significant HRQOL improvement and achieved minimal clinically important difference (MCID) by 2 years.
  • The Sev Sag cluster exhibited the highest rates of major complications, reoperations, implant failures, and operative complications.
  • Coronal cluster patients had increased pulmonary complications but lower X-ray imbalance; no significant differences in neurological, infectious, or cardiac events.

Conclusions:

  • Surgical intervention for all identified ASD clusters leads to comparable improvements in MCID.
  • Significant variations in complication rates exist among ASD clusters, with Sev Sag being highest.
  • While complication rates differ, the types of complications were not significantly distinct across clusters.