Patient-specific high-tibial osteotomy cutting-guide: a learning curve analysis
ESSKA Academy. Ollivier M. 11/08/19; 284398; epEKA-71 Topic: Open Surgery
Dr. Matthieu Ollivier
Dr. Matthieu Ollivier
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Patient-specific high-tibial osteotomy cutting-guide: a learning curve analysis

ePoster - epEKA-71

Topic: HTO

Ollivier M., Jacquet C., Sharma A., Parratte S., Argenson J.-N.
IML, Marseille, France

Background: Patient Specific Cutting Guides (PSCGs) have been advocated to improve the accuracy of deformity correction in opening wedge High-Tibial Osteotomies (HTO). It was hypothesized that PSCGs for HTO would have a short learning curve. Therefore, the goals of this study was to determine the surgeons learning curve for PSCGs used for opening-wedge HTO assessing: the operative time, surgeons comfort levels, number of fluoroscopic images, accuracy of post-operative limb alignment and functional outcomes.
Methods: This prospective cohort study included 71 consecutive opening-wedge HTO with PSCGs performed by three different surgeons with different experiences. The Operative time, the surgeon's anxiety levels evaluated using the Spielberger State-Trait Anxiety Inventory (STAI), the number of fluoroscopic images was systematically prospectively collected. The accuracy of the postoperative alignment was defined by the difference between the preoperative targeted correction and the final post-operative the correction both measured on standardized CT-scans using the same protocol (DHKA, DMPTA, DPPTA). Functional outcomes were evaluated at one year using the different sub-scores of the KOOS. Cumulative summation (CUSUM) analyses were used to assess learning curves.
Results: The use of PSCGs in HTO surgery was associated with a learning curve of 10 cases to optimize operative time (mean operative time 26.28 min ± 8.82), 8 cases to lessen surgeon anxiety levels, and 9 cases to decrease the number of fluoroscopic images to an average of 4 ± 1. Cumulative PSCGs experience did not affect accuracy of post-operative limb alignment with a mean: DHKA = 1.00 ± 0.95°), DMPTA= 0.54 ± 0.63 and DPPTA= 0.43 ± 0.80. No significant difference was observed between the three surgeons for these three parameters (all p-value >0.005). We do not find any statistical relationship between the number of procedures performed and the patient's functional outcomes.
Conclusion: The use of PSCGs requires a short learning curve to optimize operating time, reduce the use of fluoroscopy and lessen surgeon's anxiety levels. Additionally, this learning phase does not affect the accuracy of the postoperative correction and the functional results at 1 year.
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