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Can We Completely Trust in Automated Software for Preoperative Planning of Shoulder Arthroplasty? Software Update May
Raffaele Garofalo1, Alberto Fontanarosa1, Alessandro Castagna2
1Department of Orthopaedics and Traumatology, Ente Ecclesiastico Ospedale "F. Miulli", Strada Prov. 127 Acquaviva-Santeramo Km. 4, Acquaviva delle Fonti, 70021 Bari, Italy.
Background:
The purpose of this study was to evaluate the impact of software updating on measurements of the glenoid inclination and version, along with humeral head subluxation performed by an automated 3D planning program. The hypothesis was that the software update could significantly modify the values of the glenoid inclination and version, as well as of the humeral head subluxation.
Methods:
A comprehensive pool of 76 shoulder computed tomography (CT) scans of patients who underwent total shoulder arthroplasty (TSA) or reverse total shoulder arthroplasty (RTSA) were analyzed with the automated program Blueprint in 2018 and again in 2020 after a software update.
Results:
A statistically significant difference of 8.1 ± 8.2 and 5.4 ± 7.8 (mean difference of -2.8 ± 5.0, p < 0.001) was indeed reached when comparing the mean glenoid inclination achieved with Blueprint 2018 and Blueprint 2020, respectively. The glenoid version, as well as the humeral head subluxation evaluations, were not significantly different between the two software versions, with mean values being -9.4 ± 8.9 and -9.0 ± 7.4 and 60.1 ± 12.6 and 61.8 ± 12.0, respectively (p = 0.708 and p = 0.115, respectively). In 22% of CT scans, the software update determined a variation of the glenoid inclination of more than 5° or 10°.
Conclusion:
The present study shows the software update of an automated preoperative planning program may significantly modify the values of glenoid inclination. Even though without a significant difference, variations were also found for the glenoid version and humeral head subluxation. Accordingly, these results should further advise surgeons to carefully and critically evaluate data acquired with automated software.
