3D virtual patient-Magnetically retained printed stackable system for implant guided placement: Case report.

Abstract

Objective: The aim of this report is to present the complete workflow of 3D virtual patient for planning and performing implant surgery with magnetically retained 3D-printed stackable guides.

Clinical considerations: A 3D-printed stackable system was proposed based on bone, dental, and facial references. Initially, a 66-year-old male patient was digitalized through photographs, cone beam computed tomography, and intraoral scans (Virtuo Vivo, Straumann). All files were merged to create a 3D virtual patient in the planning software (coDiagnostiX, Straumann). Sequential stackable guides were designed, printed, and cured. Magnets were inserted into connectors, and the interim protheses received color characterization. Four mounted guides were produced for the specific purposes of pin fixation, bone reduction, implant placement, and immediate provisionalization. After surgery and healing period, patient digital data were updated. Final implant positions were compared to planned values and inconsistencies were clinically acceptable. The mean angular deviation was 5.4° (3.2-7.3) and mean 3D discrepancies were of 0.90 mm (0.46-1.12) at the entry point and 1.68 mm (1.00-2.20) at implant apex. Case follow-up revealed stability, patient's comfort, and no intercurrences.

Conclusion: Magnetically retained stackable guides provide treatment accuracy and reduce surgical and prosthetic complications. The projected virtual patient enhances decision-making and communication between the multidisciplinary team and the patient, while decreases time and costs.

Clinical significance: Bidimensional diagnosis and freehand implant placement have limitations and outcomes often rely on professionals' expertise. Performing facially driven virtual planning improves treatment predictability. This approach promotes function, esthetic harmony, and patient satisfaction. Implant guided surgery and 3D printed prostheses constitute a reproducible digital workflow that can be implemented into clinical practice to optimize dental care.