ArticleFrontiers in veterinary science2026
Image based three-dimensional kinematic mapping to optimize femoral tunnel placement for intra-articular cranial cruciate ligament reconstruction in dogs.
Article in Frontiers in veterinary science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: The development of synthetic ligaments (SLs) has sparked renewed interest in intra-articular cranial cruciate ligament (CrCL) reconstruction. In this procedure, minimizing changes in graft length through optimal tunnel placement is essential for long-term function. However, three-dimensional (3D) assessment of isometry across the femoral attachment area in dogs remains limited, which prevents evidence-based optimization of tunnel positioning. Thus, the aim of this study was to perform strain-constrained, animal-specific mapping of the femoral region for intra-articular CrCL reconstruction in dogs and to identify drill-compatible sites for SL fixation that minimize strain during joint flexion-extension. Methods: Six pelvic limbs from large-breed dogs (mean body weight 27.7 ± 9.7 kg) underwent three-dimensional (3D) segmentation of bones and CrCL footprints using computed tomography (CT). Femorotibial kinematics during passive flexion-extension were computed using biplanar radiography and optical tracking. The ligament trajectories were modeled as straight segments connecting candidate mesh femoral nodes on the medial aspect of the lateral condyle to tibial nodes included within a 5 mm diameter circle centered on the centroid of the native CrCL footprint. Changes in trajectory length during a flexion-extension cycle, and the extent of contiguous femoral regions below selected strain thresholds were recorded. Results: Flexion-extension produced coupled triplanar stifle motions within the reported ranges. The femoral nodes with the lowest maximum strain clustered cranial and proximal to the centroid of the native CrCL footprint. A continuous 5 mm diameter region was consistently identified at a maximal strain threshold between 6.5-9%. Caudal and cranio-distal nodes relative to the native CrCL footprints exhibited the highest strain values (>30%). Conclusion: Subject-specific 3D kinematic modeling consistently identified drill-compatible femoral and tibial regions with a 9% maximal strain cut-off. Future refinement of the 3D kinematic model integrating active loading, soft-tissue mechanics, and SL architecture is required to support clinical translation. Clinical relevance: Positioning the femoral tunnel slightly cranially and proximally to the native CrCL footprint, and centering the tibial tunnel on its centroid, may improve SL longevity and long-term joint stability.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.