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Related Concept Videos

Bones of the Lower Limb: Femur and Patella01:16

Bones of the Lower Limb: Femur and Patella

The femur is the body's longest and strongest bone spanning the thigh region. Its head articulates with the acetabulum of the hip bone to form the hip joint. A minor indentation on the medial side of the femoral head, called the fovea capitis, serves as the site of attachment for the ligament of the head of the femur. This weak ligament spans the femur and acetabulum and supports the hip joint. The narrowed region below the head is the neck of the femur. The inclination angle between the neck...

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Individualized Stem-positioning in Calcar-guided Short-stem Total Hip Arthroplasty
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How do lower-limb landmarking errors impact morphometrics in total knee arthroplasty planning?

Ysé Roch1, Dorian Lozano2, Nolwenn Fougeron3

  • 1Univ. Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, TIMC, 38000 Grenoble, France; Twinsight, Grenoble, France.

European Journal of Radiology
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Summary

Criticality of anatomical landmarks in total knee arthroplasty (TKA) planning varies significantly. This study introduces a novel framework to prioritize landmark validation based on their clinical impact, improving surgical accuracy.

Keywords:
Landmark positioningMonte Carlo simulationMorphometric measurementsSensitivity analysisTotal knee arthroplasty

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In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
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Published on: July 2, 2021

Area of Science:

  • Orthopedic surgery
  • Biomedical engineering
  • Medical imaging analysis

Background:

  • Accurate anatomical landmark identification is crucial for total knee arthroplasty (TKA) planning and implant positioning.
  • Current TKA planning validation uses uniform thresholds, ignoring the clinical impact of landmark positioning errors.
  • A framework is needed to quantify landmark contributions and establish risk-stratified acceptance criteria.

Purpose of the Study:

  • To determine the hierarchy of anatomical landmark criticality for TKA planning using sensitivity analysis.
  • To propose risk-stratified acceptance criteria for quality control in TKA planning.

Main Methods:

  • A Monte Carlo sensitivity analysis (50,000 iterations) was performed on 30 patients for 14 morpho-functional metrics derived from 34 landmarks.
  • Two sensitivity indices were used: Morphometrical Impact Rate (MIR) and Chatterjee coefficient (ξ).
  • Empirical positioning error distributions were obtained from experienced orthopedic surgeons.

Main Results:

  • Metric sensitivity varied 12-fold, with the inferior medial femoral condyle Z-coordinate being the most critical landmark.
  • Malleolar landmarks showed maximal sensitivity for rotational metrics.
  • Reference frame contamination, indicated by high Chatterjee coefficients, is a significant error propagation mechanism.

Conclusions:

  • Landmark positioning accuracy does not directly correlate with clinical impact in TKA planning.
  • A hierarchical validation framework prioritizing landmarks based on quantified clinical impact (MIR, Chatterjee coefficient) is proposed.
  • Plane-defining landmarks require prioritized validation due to cascading reference frame errors.