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A statistical shape model to predict the premorbid glenoid cavity.

Daniel Abler1, Steve Berger1, Alexandre Terrier2

  • 1Institute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland.

Journal of Shoulder and Elbow Surgery
|July 1, 2018
PubMed
Summary

This study reconstructs the original shape of glenoid cavities in shoulders with osteoarthritis (OA) using a statistical shape model. This method accurately predicts premorbid glenoid anatomy to guide shoulder replacement surgery.

Keywords:
3D reconstructionGlenoidcomputed tomographyinclinationstatistical shape modeltotal shoulder arthroplastyversion

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Area of Science:

  • Orthopedic surgery
  • Biomedical engineering
  • Radiology

Background:

  • Glenohumeral osteoarthritis (OA) alters the natural shape and orientation of the glenoid cavity.
  • Accurate assessment of premorbid glenoid anatomy is crucial for successful restorative surgery, particularly total shoulder arthroplasty.
  • Current methods may struggle to precisely determine the original glenoid shape in the presence of OA-induced changes.

Purpose of the Study:

  • To develop and validate a method for inferring the premorbid glenoid shape and orientation in scapulae affected by glenohumeral OA.
  • To utilize a statistical shape model (SSM) to reconstruct the pre-osteoarthritic glenoid cavity.
  • To inform surgical planning for total shoulder arthroplasty by providing accurate anatomical data.

Main Methods:

  • A statistical shape model (SSM) was constructed using 64 healthy scapulae.
  • The SSM was used to reconstruct premorbid glenoid shapes based on OA-unaffected anatomical features.
  • The method was validated on healthy scapulae and then applied to 30 OA scapulae, comparing reconstructed shapes with original OA and healthy scapulae.

Main Results:

  • Validation on healthy scapulae demonstrated high accuracy, with a root-mean-square surface distance of 1.0 ± 0.2 mm.
  • Prediction errors for glenoid version and inclination were 2.3° ± 1.8° and 2.1° ± 2.0°, respectively.
  • SSM-based reconstruction in OA scapulae restored average glenoid version and inclination to levels comparable to healthy scapulae, with significant differences noted between reconstructed and original OA glenoids for specific Walch classifications.

Conclusions:

  • The proposed SSM accurately predicts the premorbid glenoid cavity shape of healthy scapulae with millimeter precision.
  • This technique offers a potential solution for reconstructing the glenoid cavity's pre-OA state.
  • The accurate reconstruction of premorbid glenoid anatomy can significantly guide the positioning of glenoid implants in total shoulder arthroplasty.