Assessment of Differences in the Dimensions of Mandible Condyle Models in Fan- versus Cone-Beam Computer Tomography Acquisition
Modern treatment in the field of head and neck surgery aims for the least invasive therapy and places great emphasis on restorative treatment, especially in the case of injury and deformation corrective surgery. More and more often, surgeons use CAD/CAM (Computer-Aided Design and Computer-Aided Manu...
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doaj-19b7b4f0d5d445a3be8ffbf312cf8e2e2021-03-13T00:06:41ZengMDPI AGMaterials1996-19442021-03-01141388138810.3390/ma14061388Assessment of Differences in the Dimensions of Mandible Condyle Models in Fan- versus Cone-Beam Computer Tomography AcquisitionBartosz Bielecki-Kowalski0Marcin Kozakiewicz1Department of Maxillofacial Surgery, Medical University of Lodz, 113 Żeromskiego str, 90-549 Lodz, PolandDepartment of Maxillofacial Surgery, Medical University of Lodz, 113 Żeromskiego str, 90-549 Lodz, PolandModern treatment in the field of head and neck surgery aims for the least invasive therapy and places great emphasis on restorative treatment, especially in the case of injury and deformation corrective surgery. More and more often, surgeons use CAD/CAM (Computer-Aided Design and Computer-Aided Manufacturing) tools in their daily practice in the form of models, templates, and computer simulations of planning. These tools are based on DICOM (Digital Imaging and Communications in Medicine) files derived from computed tomography. They can be obtained from both fan-beam (FBCT) and cone-beam tomography (CBCT) acquisitions, which are subsequently segmented in order to transform them into a 1-bit 3D model, which is the basis for further CAD processes. Aim: Evaluation of differences in the dimensions of mandible condyle models in fan- versus cone-beam computer tomography for surgical treatment purposes. Methods: 499 healthy condyles were examined in CT-based 3D models of Caucasians aged 8–88 years old. Datasets were obtained from 66 CBCT and 184 FBCT axial image series (in each case, imaging both mandible condyles resulted in the acquisition of 132 condyles from CBCT and 368 condyles from FBCT) and were transformed into three-dimensional models by digital segmentation. Eleven different measurements were performed to obtain information whether there were any differences between FBCT and CBCT models of the same anatomical region. Results: 7 of 11 dimensions were significantly higher in FBCT versus lower in CBCT (<i>p</i> < 0.05).https://www.mdpi.com/1996-1944/14/6/1388mandible condyleanatomyfan-beam computed tomographycone-beam computed tomographyradiological modelingCAD/CAM |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bartosz Bielecki-Kowalski Marcin Kozakiewicz |
spellingShingle |
Bartosz Bielecki-Kowalski Marcin Kozakiewicz Assessment of Differences in the Dimensions of Mandible Condyle Models in Fan- versus Cone-Beam Computer Tomography Acquisition Materials mandible condyle anatomy fan-beam computed tomography cone-beam computed tomography radiological modeling CAD/CAM |
author_facet |
Bartosz Bielecki-Kowalski Marcin Kozakiewicz |
author_sort |
Bartosz Bielecki-Kowalski |
title |
Assessment of Differences in the Dimensions of Mandible Condyle Models in Fan- versus Cone-Beam Computer Tomography Acquisition |
title_short |
Assessment of Differences in the Dimensions of Mandible Condyle Models in Fan- versus Cone-Beam Computer Tomography Acquisition |
title_full |
Assessment of Differences in the Dimensions of Mandible Condyle Models in Fan- versus Cone-Beam Computer Tomography Acquisition |
title_fullStr |
Assessment of Differences in the Dimensions of Mandible Condyle Models in Fan- versus Cone-Beam Computer Tomography Acquisition |
title_full_unstemmed |
Assessment of Differences in the Dimensions of Mandible Condyle Models in Fan- versus Cone-Beam Computer Tomography Acquisition |
title_sort |
assessment of differences in the dimensions of mandible condyle models in fan- versus cone-beam computer tomography acquisition |
publisher |
MDPI AG |
series |
Materials |
issn |
1996-1944 |
publishDate |
2021-03-01 |
description |
Modern treatment in the field of head and neck surgery aims for the least invasive therapy and places great emphasis on restorative treatment, especially in the case of injury and deformation corrective surgery. More and more often, surgeons use CAD/CAM (Computer-Aided Design and Computer-Aided Manufacturing) tools in their daily practice in the form of models, templates, and computer simulations of planning. These tools are based on DICOM (Digital Imaging and Communications in Medicine) files derived from computed tomography. They can be obtained from both fan-beam (FBCT) and cone-beam tomography (CBCT) acquisitions, which are subsequently segmented in order to transform them into a 1-bit 3D model, which is the basis for further CAD processes. Aim: Evaluation of differences in the dimensions of mandible condyle models in fan- versus cone-beam computer tomography for surgical treatment purposes. Methods: 499 healthy condyles were examined in CT-based 3D models of Caucasians aged 8–88 years old. Datasets were obtained from 66 CBCT and 184 FBCT axial image series (in each case, imaging both mandible condyles resulted in the acquisition of 132 condyles from CBCT and 368 condyles from FBCT) and were transformed into three-dimensional models by digital segmentation. Eleven different measurements were performed to obtain information whether there were any differences between FBCT and CBCT models of the same anatomical region. Results: 7 of 11 dimensions were significantly higher in FBCT versus lower in CBCT (<i>p</i> < 0.05). |
topic |
mandible condyle anatomy fan-beam computed tomography cone-beam computed tomography radiological modeling CAD/CAM |
url |
https://www.mdpi.com/1996-1944/14/6/1388 |
work_keys_str_mv |
AT bartoszbieleckikowalski assessmentofdifferencesinthedimensionsofmandiblecondylemodelsinfanversusconebeamcomputertomographyacquisition AT marcinkozakiewicz assessmentofdifferencesinthedimensionsofmandiblecondylemodelsinfanversusconebeamcomputertomographyacquisition |
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