The influence of 3D printing on inter- and intrarater reliability on the classification of tibial plateau fractures.

Tobias DustMaximilian J HartelJulian-Elias HennebergAlexander KorthausTobias Malte BallhauseJohannes KellerMalte OhlmeierKai-Jonathan MaasKarl-Heinz FroschMatthias Krause

Published in: European journal of trauma and emergency surgery : official publication of the European Trauma Society (2022)

Based on the measured outcomes it was concluded that the new classification systems show an overall slight to fair reliability and the use of 3D printing proved to be beneficial for the preoperative diagnostics of tibial plateau fractures. The 10-Segment classification system showed the highest percentage match evaluation of all classification systems demonstrating its high clinical value across all levels of user experience.

Keyphrases

deep learning
machine learning
total knee arthroplasty
patients undergoing
metabolic syndrome
skeletal muscle
weight loss