Three-dimensional printed model of impacted third molar for surgical extraction training

3D-printed model for gingival flap surgery simulation: Development and pilot test

INTRODUCTION

To assess the feasibility of a realistic model for learning oral flaps using 3D printing technology.

MATERIALS AND METHODS

A mould was designed to reproduce the mandibular gingival mucosa, and a mandibular model was created using a three-dimensional printer for training undergraduate students to perform gingival flaps. After a short interview about its use, the participants were asked to use the simulator and provide feedback using a 5-point Likert questionnaire.

RESULTS

The 3D-printed oral surgery flap training model was practical and inexpensive. The model was very realistic, educational and useful for hands-on training.

CONCLUSIONS

3D printing technology offers new possibilities for training in dental treatments that are currently difficult to replicate. The use of this simulator for oral flap surgery was well-received and considered promising by the participants.

The effect of individual drilling sleeves on the precision of coronectomy tooth sections. An in vitro 3D-printed jaw model experiment

OBJECTIVES

The aim of this in vitro study was to evaluate the effect of a 3D-printed drill sleeve (DS) on the precision and duration of coronectomy sections.

MATERIALS AND METHODS

Thirty-six trainees and oral surgeons performed 72 coronectomy cuts in a 3D-printed, entirely symmetric mandible model. Coronectomy was performed freehand (FH) on one side and with a DS on the other side. The occurrence of "too superficial" (≥ 4 mm unprepared lingual tooth tissue) and "too deep" (drilling ≥ 1 mm deeper as tooth contour) cuts and sectioning times were registered.

RESULTS

In 7 cases, the sections were "too deep" with FH, while none with DS (OR: 18.56; 95%CI: 1.02-338.5; p = 0.048). The deviation between virtually planned and real cut depths was significantly greater in the FH group (1.91 ± 1.62 mm) than in DS group (1.21 ± 0.72 mm) (p < 0.001). A total of 18 "too superficial" buccolingual sections occurred with FH, while 8 cases with DS (OR: 3.50; 95%CI: 1.26-9.72; p = 0.016). Suboptimal sections did not correlate with experience (p = 0.983; p = 0.697). Shortest, suboptimal drillings were most frequently seen distolingually (OR: 6.76; 95% CI: 1.57-29.07; p = 0.01). In the inexperienced group, sectioning time was significantly longer with FH (158.95 ± 125.61 s vs. 106.92 ± 100.79 s; p = 0.038).

CONCLUSIONS

The DS effectively reduced tooth sectioning times by less experienced colleagues. Independently from the level of experience, the use of DS obviated the need for any preparation outside the lingual tooth contour and significantly decreased the occurrence of "too superficial" cuts, leaving thinner unprepared residual tooth tissue lingually.

CLINICAL RELEVANCE

Coronectomy sections may result in lingual hard and soft tissue injury with the possibility of damaging the lingual nerve. The precision of the buccolingual depth-control can be improved, while surgical time can be reduced when applying a drilling sleeve.

The Influence of Cone Beam Computed Tomography-Derived 3D-Printed Models on Endodontic Microsurgical Treatment Planning and Confidence of the Operator

INTRODUCTION

Currently, there are no studies evaluating the impact of 3-dimensional (3D) printed models on endodontic surgical treatment planning. The aims of this study were: 1) to determine if 3D models could influence treatment planning; and 2) to assess the effect of 3D supported planning on operator confidence.

MATERIALS

Endodontic practitioners (n = 25) were asked to analyze a preselected cone beam computed tomography (CBCT) scan of an endodontic surgical case and answer a questionnaire that elucidated their surgical approach. After 30 days, the same participants were asked to analyze the same CBCT scan. Additionally, participants were asked to study and to perform a mock osteotomy on a 3D printed model. The participants responded to the same questionnaire along with a new set of questions. Responses were statistically analyzed using chi square test followed by either logistic or ordered regression analysis. Adjustment for multiple comparison analysis was done using a Bonferroni correction. Statistical significance was set at ≤0.005.

RESULTS

The availability of both the 3D printed model and the CBCT scan resulted in statistically significant differences in the participants' responses to their ability to detect bone landmarks, predict the location of osteotomy, and to determine the following: size of osteotomy, angle of instrumentation, involvement of critical structures in flap reflection and involvement of vital structures during curettage. In addition, the participants' confidence in performing surgery was found to be significantly higher.

CONCLUSIONS

The availability of 3D printed models did not alter the participants' surgical approach but it significantly improved their confidence for endodontic microsurgery.