BackgroundThe objective of this study was to investigate the accuracy of 3-dimensional (3D) plastic (ABS) models generated using a low-cost 3D fused deposition modelling printer.Material/MethodsTwo human dry mandibles were scanned with a cone beam computed tomography (CBCT) Accuitomo device. Preprocessing consisted of 3D reconstruction with Maxilim software and STL file repair with Netfabb software. Then, the data were used to print 2 plastic replicas with a low-cost 3D fused deposition modeling printer (Up plus 2®). Two independent observers performed the identification of 26 anatomic landmarks on the 4 mandibles (2 dry and 2 replicas) with a 3D measuring arm. Each observer repeated the identifications 20 times. The comparison between the dry and plastic mandibles was based on 13 distances: 8 distances less than 12 mm and 5 distances greater than 12 mm.ResultsThe mean absolute difference (MAD) was 0.37 mm, and the mean dimensional error (MDE) was 3.76%. The MDE decreased to 0.93% for distances greater than 12 mm.ConclusionsPlastic models generated using the low-cost 3D printer UPplus2® provide dimensional accuracies comparable to other well-established rapid prototyping technologies.Validated low-cost 3D printers could represent a step toward the better accessibility of rapid prototyping technologies in the medical field.
The purpose of this study was to assess the medium-term results of using thread-lift sutures as a means to support soft tissues in facial reconstructive surgery. The rationale for the introduction of this method was to provide support for tissues used in the reconstruction in cases where this would otherwise have been difficult to achieve, or would have demanded major additional surgery in patients already undergoing major surgical procedures. The outcome of the procedure was assessed 12 and 24 months after surgery. Patients were satisfied with the results. Judging from the findings of this study, Silhouette sutures are a valuable asset in facial reconstruction surgery when associated with a scrupulous technique and used for the right indications.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.