Σφακιανάκης Αλέξανδρος
ΩτοΡινοΛαρυγγολόγος
Αναπαύσεως 5 Άγιος Νικόλαος
Κρήτη 72100
00302841026182
00306932607174
alsfakia@gmail.com

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! # Ola via Alexandros G.Sfakianakis on Inoreader

Η λίστα ιστολογίων μου

Τρίτη 29 Νοεμβρίου 2016

Development and validation of a septoplasty training model using 3-dimensional printing technology

Background

Providing alternative training modalities may improve trainees' ability to perform septoplasty. Three-dimensional printing has been shown to be a powerful tool in surgical training. The objectives of this study were to explain the development of our 3-dimensional (3D) printed septoplasty training model, to assess its face and content validity, and to present evidence supporting its ability to distinguish between levels of surgical proficiency.

Methods

Imaging data of a patient with a nasal septal deviation was selected for printing. Printing materials reproducing the mechanical properties of human tissues were selected based on literature review and prototype testing. Eight expert rhinologists, 6 senior residents, and 6 junior residents performed endoscopic septoplasties on the model and completed a postsimulation survey. Performance metrics in quality (final product analysis), efficiency (time), and safety (eg, perforation length, nares damage) were recorded and analyzed in a study-blind manner.

Results

The model was judged to be anatomically correct and the steps performed realistic, with scores of 4.05 ± 0.82 and 4.2 ± 1, respectively, on a 5-point Likert scale. Ninety-two percent of residents desired the simulator to be integrated into their teaching curriculum. There was a significant difference (p < 0.05) between the expert, intermediate, and novice groups in time taken and nares cuts, whereas other performance metrics showed no significant difference.

Conclusion

To our knowledge, there are no other simulator training models for septoplasty. Our model incorporates 2 different materials mixed into the 3 relevant consistencies necessary to simulate septoplasty. Our findings provide evidence supporting the validity of the model.



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