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Related Experiment Video

Updated: Jul 15, 2025

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SciKit-SurgeryGlenoid, an Open Source Toolkit for Glenoid Version Measurement.

Asta Olafsdottir1, Addie Majed2, David Butt2

  • 1Wellcome/EPSRC Centre for Interventional and Surgical Science, University College London, United Kingdom.

Proceedings of Spie--The International Society for Optical Engineering
|September 28, 2023
PubMed
Summary
This summary is machine-generated.

Accurate glenoid version measurement is crucial for shoulder replacement surgery. SciKit-SurgeryGlenoid, an open-source toolkit, offers an unbiased comparison of four common measurement methods for improved surgical planning.

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Area of Science:

  • Orthopedic surgery
  • Medical imaging analysis
  • Computational anatomy

Background:

  • Accurate glenoid geometry understanding is vital for successful shoulder replacement surgery.
  • Glenoid version, the angular orientation of the glenoid surface, is a key geometric parameter.
  • Current glenoid version measurement methods are numerous and can be complex.

Purpose of the Study:

  • Introduce SciKit-SurgeryGlenoid, an open-source toolkit for glenoid version measurement.
  • Enable unbiased comparison of frequently used glenoid version measurement algorithms.
  • Facilitate accurate pre-operative planning for shoulder replacement surgery.

Main Methods:

  • Developed SciKit-SurgeryGlenoid with implementations of four common glenoid version measurement algorithms.
  • Applied the toolkit to 10 pre-operative CT scans from patients undergoing shoulder replacement.
  • Compared SciKit-SurgeryGlenoid results with those from commercial implant planning software.

Main Results:

  • SciKit-SurgeryGlenoid provides a platform for comparing different glenoid version measurement techniques.
  • The toolkit's results were compared against a commercial software for validation.
  • Manual segmentation of anatomical features is currently required for all methods.

Conclusions:

  • SciKit-SurgeryGlenoid facilitates the comparison of glenoid version measurement techniques.
  • The open-source toolkit aids in understanding glenoid geometry for surgical planning.
  • Future development aims to automate segmentation for a complete measurement pipeline.