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DOI 10.1016/j.jse.2019.10.007

Медицинская библиотека · Journal of shoulder and elbow surgery · 2020

Automated quantification of glenoid bone defects using 3-dimensional measurements.

Plessers Katrien, Verhaegen Filip, Van Dijck Christophe, Wirix-Speetjens Roel, Debeer Philippe, Jonkers Ilse, Vander Sloten Jos

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Аннотация

BACKGROUND

Assessment of glenoid bone defects is important to select the optimal glenoid component design during shoulder arthroplasty planning and implantation. This study presents a fully automated method to describe glenoid bone loss using 3-dimensional measurements without the need for a healthy contralateral reference scapula.

METHODS

The native shape of the glenoid is reconstructed by fitting a statistical shape model (SSM) of the scapula. The total vault loss percentage, local vault loss percentages, defect depth, defect area percentage, and subluxation distance and region are computed based on a comparison of the reconstructed and eroded glenoids. The method is evaluated by comparing its results with a contralateral bone-based reconstruction approach in a data set of 34 scapula and humerus pairs with unilateral glenoid bone defects.

RESULTS

The SSM-based defect measurements deviated from the contralateral bone-based measurements with mean absolute differences of 5.5% in the total vault loss percentage, 4.5% to 8.0% in the local vault loss percentages, 1.9 mm in the defect depth, 14.8% in the defect area percentage, and 1.6 mm in the subluxation distance. The SSM-based method was statistically equivalent to the contralateral bone-based method for all parameters except the defect area percentage.

CONCLUSION

The presented method is able to automatically analyze glenoid bone defects using 3-dimensional measurements without the need for a healthy contralateral bone.

Для цитирования: Plessers Katrien, Verhaegen Filip, Van Dijck Christophe, Wirix-Speetjens Roel, Debeer Philippe, Jonkers Ilse, Vander Sloten Jos. Automated quantification of glenoid bone defects using 3-dimensional measurements.. Journal of shoulder and elbow surgery. 2020. DOI: 10.1016/j.jse.2019.10.007.

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