Cornelius von Wilmowsky1, Bastian Bergauer2, Emeka Nkenke3, Friedrich Wilhelm Neukam4, Winfried Neuhuber5, Michael Lell6, Andrea Keller7, Stephan Eitner2, Ragai-Edward Matta2. 1. Department of Oral and Maxillofacial Surgery (Head: Prof. Dr. Dr. Dr. h.c. F.W. Neukam), Erlangen University Hospital, Glückstrasse 11, 91054 Erlangen, Germany. Electronic address: cornelius.vonwilmowsky@uk-erlangen.de. 2. Department of Prosthodontics (Head: Prof. Dr. M. Wichmann), Erlangen University Hospital, Glückstrasse 11, 91054 Erlangen, Germany. 3. Department of Cranio-Maxillofacial and Oral Surgery (Head: Prof. Dr. Dr. E. Nkenke), Medical University of Vienna, Währinger Gürtel 18-20, 1090 Wien, Austria. 4. Department of Oral and Maxillofacial Surgery (Head: Prof. Dr. Dr. Dr. h.c. F.W. Neukam), Erlangen University Hospital, Glückstrasse 11, 91054 Erlangen, Germany. 5. Department I, Institute of Anatomy (Head: Prof. Dr. W. Neuhuber), Friedrich-Alexander-University of Erlangen-Nuremberg, Krankenhausstraße 9, 91054 Erlangen, Germany. 6. Institute of Radiology (Head: Prof. Dr. M. Uder), Erlangen University Hospital, Maximilliansplatz 1, 91054 Erlangen, Germany. 7. Department of Medical Informatics, Biometry and Epidemiology (Head: Prof. Dr. O. Gefeller), Friedrich-Alexander-University of Erlangen-Nuremberg, Universitätsstraße 22, 91054 Erlangen, Germany.
Abstract
OBJECTIVES: Three-dimensional radiological imaging data play an increasingly role in planning, simulation, and navigation in oral and maxillofacial surgery. The aim of this study was to establish a new, highly precise, in vitro measurement technology for the evaluation of the geometric accuracy down to the micrometric range of digital imaging data. MATERIAL AND METHODS: A macerated human mandible was scanned optically with an industrial, non-contact, white light scanner, and a three-dimensional (3D) model was obtained, which served as a master model. The mandible was then scanned 10 times by cone beam computed tomography (CBCT), and the generated 3D surface bone model was virtually compared with the master model. To evaluate the accuracy of the CBCT scans, the standard deviation and the intraclass coefficient were determined. RESULTS: A total of 19 measurement points in 10 CBCT scans were investigated, and showed an average value of 0.2676 mm with a standard deviation of 0.0593 mm. The standard error of the mean was 0.0043 mm. The intraclass correlation coefficient (ICC) within the 10 CBCT scans was 0.9416. CONCLUSIONS: This highly precise measuring technology was demonstrated to be appropriate for the evaluation of the accuracy of digital imaging data, down to the micrometric scale. This method is able to exclude human measurement errors, as the software calculates the superimposition and deviation. Thus inaccuracies caused by measurement errors can be avoided. This method provides a highly precise determination of deviations of different CBCT parameters and 3D models for surgical, navigational, and diagnostic purposes. Thus, surgical procedures and the post-operative outcomes can be precisely simulated to benefit the patient.
OBJECTIVES: Three-dimensional radiological imaging data play an increasingly role in planning, simulation, and navigation in oral and maxillofacial surgery. The aim of this study was to establish a new, highly precise, in vitro measurement technology for the evaluation of the geometric accuracy down to the micrometric range of digital imaging data. MATERIAL AND METHODS: A macerated human mandible was scanned optically with an industrial, non-contact, white light scanner, and a three-dimensional (3D) model was obtained, which served as a master model. The mandible was then scanned 10 times by cone beam computed tomography (CBCT), and the generated 3D surface bone model was virtually compared with the master model. To evaluate the accuracy of the CBCT scans, the standard deviation and the intraclass coefficient were determined. RESULTS: A total of 19 measurement points in 10 CBCT scans were investigated, and showed an average value of 0.2676 mm with a standard deviation of 0.0593 mm. The standard error of the mean was 0.0043 mm. The intraclass correlation coefficient (ICC) within the 10 CBCT scans was 0.9416. CONCLUSIONS: This highly precise measuring technology was demonstrated to be appropriate for the evaluation of the accuracy of digital imaging data, down to the micrometric scale. This method is able to exclude human measurement errors, as the software calculates the superimposition and deviation. Thus inaccuracies caused by measurement errors can be avoided. This method provides a highly precise determination of deviations of different CBCT parameters and 3D models for surgical, navigational, and diagnostic purposes. Thus, surgical procedures and the post-operative outcomes can be precisely simulated to benefit the patient.
Authors: Anna Seidel; Bastian Bergauer; Michael Lell; Thomas Buder; Cornelius von Wilmowsky; Eva Dach; Manfred Wichmann; Ragai-Edward Matta Journal: Surg Radiol Anat Date: 2017-08-21 Impact factor: 1.246
Authors: George K Koch; Adam Hamilton; Kelly Wang; Laura Herschdorfer; Kyu Ha Lee; German O Gallucci; Bernard Friedland Journal: Dentomaxillofac Radiol Date: 2018-11-08 Impact factor: 2.419