Repositioning accuracy of implant prosthetic components used for digital and conventional workflow

• DOI: 10.1111/clr.164_13509
• Publication Date: 2019-09-25T21:13:54Z
• Authors: Vytautas Bilius; Vygandas Rutkūnas; Julius Dirsė; Eglė Fataraitė‐Ur...; Marius Rimaöauskas
• Keywords: Impression; Abutment; Position (finance); Component (thermodynamics)

Background In the literature, misfit of implant-supported restoration 100 μm or less is often considered as clinically acceptable. The conventional and digital workflow inevitably involves reconnection impression components Ti bases to analogs implants. Moreover, position could depend on torque level. positional inaccuracies these can influence overall accuracy potentially lead technical biologic complications. Aim/Hypothesis aim this study was evaluate repositioning errors implant prosthetic used in workflows. null hypothesis that there are no differences investigated not depending Material Methods Seven implants (Microcone, Medentika) were fixed milled steel blank using resin. Implant- abutment-level copings, scan bodies, hex non-hex bases, multi-unit caps (seven different components) evaluated. A standardized test body glued each component at exactly same position. component-test complex (CTBC) consecutively determined seven times after manual disassembly reassembly 15 Ncm for caps, while 25 applied. Predefined spots surface CTBC sampled detect any changes a coordinate measuring machine (Fig. 1). Vertical, horizontal, sagittal 3D discrepancies monitored. Mann-Whitney U pairwise comparison mean displacements determine statistical (P = 0.05). Results Positional observed all three axes. (± standard deviation) implant-level pick-up copings (36 ± 8 μm) bodies (26 29 significantly greater than (16 (12 10 μm). displacement base with (6 5 lower cap (11 While (9 7 group have differed from There statistically significant difference deviations (14 21 (15 increasing Ncm. Conclusion Clinical Implications Manual assembly results abutments. related up 35 μm. levels result change well. clinician should select having better accuracy, which improve clinical outcomes.