| Literature DB >> 36013547 |
Mitchell Bernstein1, Tatiana Bunge2, Kadence Rosinski2, Mauricio Kfuri3, Brett Crist3, Andrew Knapp2, Rahul Vaidya2.
Abstract
Background and objectives: Alignment of the lower extremity is important when treating congenital deformities, fractures, and joint replacement. During the COVID-19 pandemic, AO North America offered an online course on deformity measurement and planning. The Bonesetter app is a deformity planning tool that is freely available online. The purpose of this study was to see how effective an online course was in teaching axial alignment measurement and to assess that skill using an online digital planning tool, the Bonesetter app. Materials andEntities:
Keywords: Bonesetter app; anteversion; axial alignment; deformity correction; femoral version; retroversion; tibial torsion
Mesh:
Year: 2022 PMID: 36013547 PMCID: PMC9415140 DOI: 10.3390/medicina58081079
Source DB: PubMed Journal: Medicina (Kaunas) ISSN: 1010-660X Impact factor: 2.948
Figure 1Measurement technique taught in the course: (a) right femoral head/neck axis; (b) right posterior condylar axis; (c) right bimalleolar axis.
Figure 2Examples of correctly measured angles on case 1. (a) Shows the angle lines drawn in the accepted example case. The top lines measure the femoral neck angle, the middle measures the posterior condylar angle, and the bottom measures the bimalleolar angle with respect to the horizontal; (b) this is an example of a variation in the measurement technique. Instead of comparing the angles to the horizontal, one can measure the femoral neck and bimalleolar angles with respect to the posterior condylar axis of the femur. This method eliminates addition and subtraction for femoral version and tibial torsion, but one must still determine if there is anteversion, retroversion, internal, or external tibial torsion.
Figure 3CT image provided for case 2; showing correct measurements, identification of femoral anteversion and retroversion, as well a calculation to establish difference in femoral version.
Figure 4CT image provided during the case study.
Summarizes reasons for error in each case.
| Reason for Error | Case 1 | Case 2 | Case 3 | Case 4 |
|---|---|---|---|---|
| Case completed correctly | 56% | 61% | 84% | 76% |
| Participants only completed | 35% | 30% | 4% | 2% |
| Logged on but did not complete any data | 1% | 1% | 0% | 5% |
| Completed measurements | 1.25% | 6.60% | 5.50% | 7% |
| Completed measurements | 2.50% | 1.60% | 7.70% | 9.50% |