Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

At a glance: The ONWARDS insulin icodec trials

A round-up of the ONWARDS phase 3 clinical trials evaluating the novel weekly insulin icodec in people with diabetes.
ADVANCED SEARCH
Log in
Top
Journal of Imaging Informatics in Medicine
Published in: Journal of Digital Imaging 6/2011

01-12-2011

Exploring CBCT-Based DICOM Files. A Systematic Review on the Properties of Images Used to Evaluate Maxillofacial Bone Grafts

Authors: Rubens Spin-Neto, Elcio Marcantonio Jr., Erik Gotfredsen, Ann Wenzel

Published in: Journal of Imaging Informatics in Medicine | Issue 6/2011

Login to get access

Abstract

Previous studies suggests that cone beam computerized tomography (CBCT) images could provide reliable information regarding the fate of bone grafts in the maxillofacial region, but no systematic information regarding the standardization of CBCT settings and properties is available, i.e., there is a lack of information on how the images were generated, exported, and analyzed when bone grafts were evaluated. The aim of this study was to (1) do a systematic review on which type of CBCT-based DICOM images have been used for the evaluation of the fate of bone grafts in humans and (2) use a software suggested in the literature to test DICOM-based data sets, exemplifying the effect of variation in selected parameters (windowing/contrast control, plane definition, slice thickness, and number of measured slices) on the final image characteristics. The results from review identified three publications that used CBCT to evaluate maxillofacial bone grafts in humans, and in which the methodology/results comprised at least one of the expected outcomes (image acquisition protocol, image reconstruction, and image generation information). The experimental shows how the influence of information that was missing in the retrieved papers, can influence the reproducibility and the validity of image measurements. Although the use of CBCT-based images for the evaluation of bone grafts in humans has become more common, this does not reflect on a better standardization of the developed studies. Parameters regarding image acquisition and reconstruction, while important, are not addressed in the proper way in the literature, compromising the reproducibility and scientific impact of the studies.
Literature
1.
Esposito M, Hirsch JM, Lekholm U, Thomsen P: Biological factors contributing to failures of osseointegrated oral implants. (I). Success criteria and epidemiology. Eur J Oral Sci 106:527–551, 1998PubMedCrossRef
2.
Buser D, Dula K, Hess D, et al: Localized ridge augmentation with autografts and barrier membranes. Periodontol 19:151–163, 2000CrossRef
3.
Bauer TW, Muschler GF: Bone graft materials. An overview of the basic science. Clin Orthop Relat Res 371:10–27, 2000PubMedCrossRef
4.
Eppley BL, Pietrzak WS, Blanton MW: Allograft and alloplastic bone substitutes: a review of science and technology for the craniomaxillofacial surgeon. J Craniofac Surg 16:981–989, 2005PubMedCrossRef
5.
Giannoudis PV, Dinopoulos H, Tsiridis E: Bone substitutes: an update. Injury 36(Suppl 3):20–27, 2005CrossRef
6.
Ehrhart N, Kraft S, Conover D, Rosier RN, Schwarz EM: Quantification of massive allograft healing with dynamic contrast enhanced-MRI and cone beam-CT: a pilot study. Clin Orthop Relat Res 466:1897–1904, 2008PubMedCrossRef
7.
Grauer D, Cevidanes LS, Proffit WR: Working with DICOM craniofacial images. Am J Orthod Dentofacial Orthop 136:460–470, 2009PubMedCrossRef
8.
Peck D: Digital Imaging and Communications in Medicine (DICOM): a practical introduction and survival guide. J Nucl Med 50:1384, 2009CrossRef
9.
De Vos W, Casselman J, Swennen GR: Cone-beam computerized tomography (CBCT) imaging of the oral and maxillofacial region: a systematic review of the literature. Int J Oral Maxillofac Surg 38:609–625, 2009PubMedCrossRef
10.
Honma K, Kobayashi T, Nakajima T, Hayasi T: Computed tomographic evaluation of bone formation after secondary bone grafting of alveolar clefts. J Oral Maxillofac Surg 57:1209–1213, 1999PubMedCrossRef
11.
Johansson B, Grepe A, Wannfors K, Hirsch JM: A clinical study of changes in the volume of bone grafts in the atrophic maxilla. Dentomaxillofac Radiol 30:157–161, 2001PubMedCrossRef
12.
Verdugo F, Simonian K, Smith McDonald R, Nowzari H: Quantitation of mandibular ramus volume as a source of bone grafting. Clin Implant Dent Relat Res 11(Suppl 1):e32–37, 2009PubMedCrossRef
13.
Lai RF, Zou H, Kong WD, Lin W: Applied anatomic site study of palatal anchorage implants using cone beam computed tomography. International Journal of Oral Science 2:98–104, 2010PubMedCrossRef
14.
Swennen GR, Schutyser F: Three-dimensional cephalometry: spiral multi-slice vs cone-beam computed tomography. Am J Orthod Dentofacial Orthop 130:410–416, 2006PubMedCrossRef
15.
Cevidanes LH, et al: Three-dimensional surgical simulation. Am J Orthod Dentofacial Orthop 138:361–371, 2010PubMedCrossRef
16.
Ganz SD: Bone grafting assessment: focus on the anterior and posterior maxilla utilizing advanced 3-D imaging technologies. Dent Implantol Update 20:41–48, 2009PubMed
17.
Fatemitabar SA, Nikgoo A: Multichannel computed tomography versus cone-beam computed tomography: linear accuracy of in vitro measurements of the maxilla for implant placement. Int J Oral Maxillofac Implants 25:499–505, 2010PubMed
18.
Verdugo F, Simonian K, D'Addona A, Ponton J, Nowzari H: Human bone repair after mandibular symphysis block harvesting: a clinical and tomographic study. J Periodontol 81:702–709, 2010PubMedCrossRef
19.
Block MS, Haggerty CJ: Interpositional osteotomy for posterior mandible ridge augmentation. J Oral Maxillofac Surg 67:31–39, 2009PubMedCrossRef
20.
Takane M, et al: Clinical application of cone beam computed tomography for ideal absorbable membrane placement in interproximal bone defects. J Oral Sci 52:63–69, 2010PubMedCrossRef
21.
Blake FA, Blessmann M, Pohlenz P, Heiland M: A new imaging modality for intraoperative evaluation of sinus floor augmentation. Int J Oral Maxillofac Surg 37:183–185, 2008PubMedCrossRef
22.
Heiland M, et al: Navigated implantation after microsurgical bone transfer using intraoperatively acquired cone-beam computed tomography data sets. Int J Oral Maxillofac Surg 37:70–75, 2008PubMedCrossRef
23.
Lopes N, Oliveira DM, Vajgel A, Pita I, Bezerra T, Vasconcellos RJ: A new approach for reconstruction of a severely atrophic mandible. J Oral Maxillofac Surg 67:2455–2459, 2009PubMedCrossRef
24.
Gapski R, et al: Histological, histomorphometric, and radiographic evaluation of a sinus augmentation with a new bone allograft: a clinical case report. Implant Dent 17:430–438, 2008PubMedCrossRef
25.
Hamada Y, et al: Application of limited cone beam computed tomography to clinical assessment of alveolar bone grafting: a preliminary report. Cleft Palate Craniofac J 42:128–137, 2005PubMedCrossRef
26.
Oberoi S, Chigurupati R, Gill P, Hoffman WY, Vargervik K: Volumetric assessment of secondary alveolar bone grafting using cone beam computed tomography. Cleft Palate Craniofac J 46:503–511, 2009PubMedCrossRef
27.
Esposito M, Hirsch JM, Lekholm U, Thomsen P: Biological factors contributing to failures of osseointegrated oral implants. (II). Etiopathogenesis. Eur J Oral Sci 106:721–764, 1998PubMedCrossRef
28.
Goldberg VM, Stevenson S: Natural history of autografts and allografts. Clin Orthop Relat Res 225:7–16, 1987PubMed
29.
Chadwick JW, Lam EW: The effects of slice thickness and interslice interval on reconstructed cone beam computed tomographic images. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 110:e37–42, 2010PubMedCrossRef
30.
de Oliveira MG, Morais LE, Silva DN, de Oliveira HW, Heitz C, Gaiao L: Is 3D-CT reformation using free software applicable to diagnosis of bone changes in mandibular condyles? J Appl Oral Sci 17:166–169, 2009PubMedCrossRef
31.
32.
van Vlijmen OJ, Rangel FA, Berge SJ, et al: Measurements on 3D models of human skulls derived from two different cone beam CT scanners. Clin Oral Investig, 2010. doi:10.​1007/​s00784-010-0440-8
33.
Ludlow JB, Ivanovic M: Comparative dosimetry of dental CBCT devices and 64-slice CT for oral and maxillofacial radiology. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 106:106–114, 2008PubMedCrossRef
34.
Ludlow JB, Davies-Ludlow LE, Brooks SL, Howerton WB: Dosimetry of 3 CBCT devices for oral and maxillofacial radiology: CB Mercuray, NewTom 3G and i-CAT. Dentomaxillofac Radiol 35:219–226, 2006PubMedCrossRef
35.
Yeni YN, Christopherson GT, Dong XN, Kim DG, Fyhrie DP: Effect of microcomputed tomography voxel size on the finite element model accuracy for human cancellous bone. J Biomech Eng 127:1–8, 2005PubMedCrossRef
36.
Mah P, Reeves TE, McDavid WD: Deriving Hounsfield units using grey levels in cone beam computed tomography. Dentomaxillofac Radiol 39:323–335, 2010PubMedCrossRef
37.
Schlueter B, Kim KB, Oliver D, Sortiropoulos G: Cone beam computed tomography 3D reconstruction of the mandibular condyle. Angle Orthod 78:880–888, 2008PubMedCrossRef
38.
Lagravere MO, Major PW, Carey J: Sensitivity analysis for plane orientation in three-dimensional cephalometric analysis based on superimposition of serial cone beam computed tomography images. Dentomaxillofac Radiol 39:400–408, 2010PubMedCrossRef
Metadata
Title
Exploring CBCT-Based DICOM Files. A Systematic Review on the Properties of Images Used to Evaluate Maxillofacial Bone Grafts
Authors
Rubens Spin-Neto
Elcio Marcantonio Jr.
Erik Gotfredsen
Ann Wenzel
Publication date
01-12-2011
Publisher
Springer-Verlag
Published in
Journal of Imaging Informatics in Medicine / Issue 6/2011
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-011-9377-y

Other articles of this Issue 6/2011

Journal of Digital Imaging 6/2011 Go to the issue

OriginalPaper

Fractal Analysis of Periapical Bone from Lossy Compressed Radiographs: A Comparison of Two Lossy Compression Methods

BriefCommunication

Fully Automatic Region of Interest Selection in Glomerular Filtration Rate Estimation from 99mTc-DTPA Renogram

OriginalPaper

A Situational Alignment Framework for PACS

OriginalPaper

Assessing Task–Technology Fit in a PACS Upgrade: Do Users’ and Developers’ Appraisals Converge?

BriefCommunication

Five Levels of PACS Modularity: Integrating 3D and Other Advanced Visualization Tools

OriginalPaper

Computerized Analysis of Pneumoconiosis in Digital Chest Radiography: Effect of Artificial Neural Network Trained with Power Spectra