Estimation of Footprints of the Canine Stifle Ligaments Using Deformable Shape Templates of Bones

Overview

Journal Sci Rep

Specialty Science

Date 2024 Feb 26

PMID 38409316

Authors

Yu-Ying Lin

Cheng-Chung Lin

Ching-Ho Wu

Affiliations

Soon will be listed here.

Abstract

Knowledge regarding the ligament footprints in the canine stifle is essential for biomechanical modeling of the joint and patient-specific surgical planning for anatomical ligament reconstruction. The present study aimed to establish and evaluate deformable shape templates (DSTs) of the femur and tibia with footprints of the cruciate and collateral ligaments embedded for the noninvasive estimation of ligament footprint positions. To this end, a data set of computed tomography (CT)-derived surface models of the femur and tibia were established and used to build statistical shape models (SSMs). The contours of the stifle ligaments were obtained from CT scans of 27 hindlimb specimens with radio-opaque markings on the ligament footprints. The DST, constructed by embedding averaged footprint contours into the SSM, was used to estimate subject-specific ligament footprints in a leave-one-out cross-validation framework. The DST predictions were compared with those derived from radio-opaque-marked footprints. The results showed that the averaged Euclidean distances between the estimated and reference footprint centroids were less than 1.2 mm for the cruciate ligaments and 2.0 mm for the collateral ligaments. The DST appeared to provide a feasible alternative approach for noninvasively estimating the footprints of the stifle ligaments in vivo.

Citing Articles

Statistical shape modeling of the geometric morphology of the canine femur, tibia, and patella.

Huart J, Pozzi A, Bleedorn J, Lu T, Knell S, Park B Front Vet Sci. 2024; 11:1366827.

PMID: 39051009 PMC: 11266300. DOI: 10.3389/fvets.2024.1366827.

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