Validation and Comparison of Volume Measurements Using 1 Multidetector Computed Tomography and 5 Cone-beam Computed Tomography Protocols: An in Vitro Study

Overview

Journal Imaging Sci Dent

Specialty Radiology

Date 2023 Jan 6

PMID 36605864

Authors

Juliana Andrea Correa Travessas

Alessandra Mendonca Dos Santos

Rodrigo Pagliarini Buligon

Nadia Assein Arus

Priscila Fernanda Tiecher da Silveira

Heraldo Luis Dias da Silveira

Mariana Boessio Vizzotto

Affiliations

Soon will be listed here.

Abstract

Purpose: The purpose of this study was to compare volume measurements obtained using 2 image software packages on Digital Imaging and Communications in Medicine (DICOM) images acquired from 1 multidetector computed tomography and 5 cone-beam computed tomography devices, using different protocols for physical volume measurements.

Materials And Methods: Four pieces of bovine leg were prepared. Marrow was removed from 3 pieces, leaving cortical bone exposed. The resulting space of 1 piece was filled with water, another was filled with propylene glycol, and the third was left unfilled. The marrow in the fourth sample was left fully intact. Volume measurements were obtained after importing DICOM images into the Dolphin Imaging 11.95 and ITK-SNAP software programs. Data were analyzed using 3-way analysis of variance with a generalized linear model to determine the effects of voxel size, software, and content on percentage mean volume differences between tomographic protocols. A significance level of 0.05 was used.

Results: The intraclass correlation coefficients for intraobserver and interobserver reliability were, respectively, 0.915 and 0.764 for the Dolphin software and 0.894 and 0.766 for the ITK-SNAP software. Three sources of statistically significant variation were identified: the interaction between software and content (=0.001), the main effect of content (=0.014), and the main effect of software (=0.001). Voxel size was not associated with statistically significant differences in volume measurements.

Conclusion: Both content and software influenced the accuracy of volume measurements, especially when the content had gray values similar to those of the adjacent tissues.

References

Shahidi S, Momeni Danaie S, Omidi M . Comparison of the Pharyngeal Airway Volume between Non-Syndromic Unilateral Cleft Palate and Normal Individuals Using Cone Beam Computed Tomography. J Dent (Shiraz). 2016; 17(3 Suppl):268-275. PMC: 5103474. View

Whyms B, Vorperian H, Gentry L, Schimek E, Bersu E, Chung M . The effect of computed tomographic scanner parameters and 3-dimensional volume rendering techniques on the accuracy of linear, angular, and volumetric measurements of the mandible. Oral Surg Oral Med Oral Pathol Oral Radiol. 2013; 115(5):682-91. PMC: 3633147. DOI: 10.1016/j.oooo.2013.02.008. View

Sang Y, Hu H, Lu S, Wu Y, Li W, Tang Z . Accuracy Assessment of Three-dimensional Surface Reconstructions of In vivo Teeth from Cone-beam Computed Tomography. Chin Med J (Engl). 2016; 129(12):1464-70. PMC: 4910372. DOI: 10.4103/0366-6999.183430. View

Haverkamp K, Harder L, Kuhnt N, Lupke M, Nolte I, Wefstaedt P . Validation of canine prostate volumetric measurements in computed tomography determined by the slice addition technique using the Amira program. BMC Vet Res. 2019; 15(1):49. PMC: 6360749. DOI: 10.1186/s12917-019-1778-z. View

Fabel M, Biederer J, Jochens A, Bornemann L, Soza G, Heller M . Semi-automated volumetric analysis of artificial lymph nodes in a phantom study. Eur J Radiol. 2010; 80(3):e451-7. DOI: 10.1016/j.ejrad.2010.10.019. View

Kamburoglu K, Kursun S, Kilic C, Ozen T . Accuracy of virtual models in the assessment of maxillary defects. Imaging Sci Dent. 2015; 45(1):23-9. PMC: 4362988. DOI: 10.5624/isd.2015.45.1.23. View

Araki K, Maki K, Seki K, Sakamaki K, Harata Y, Sakaino R . Characteristics of a newly developed dentomaxillofacial X-ray cone beam CT scanner (CB MercuRay): system configuration and physical properties. Dentomaxillofac Radiol. 2004; 33(1):51-9. DOI: 10.1259/dmfr/54013049. View

Feng X, Li G, Qu Z, Liu L, Nasstrom K, Shi X . Comparative analysis of upper airway volume with lateral cephalograms and cone-beam computed tomography. Am J Orthod Dentofacial Orthop. 2015; 147(2):197-204. DOI: 10.1016/j.ajodo.2014.10.025. View

Liang Y, Jiang L, Gao X, Shemesh H, Wesselink P, Wu M . Detection and measurement of artificial periapical lesions by cone-beam computed tomography. Int Endod J. 2013; 47(4):332-8. DOI: 10.1111/iej.12148. View

10.

Wen X, Wang X, Qin S, Franchi L, Gu Y . Three-dimensional analysis of upper airway morphology in skeletal Class III patients with and without mandibular asymmetry. Angle Orthod. 2017; 87(4):526-533. PMC: 8366695. DOI: 10.2319/120116-866.1. View

11.

Swennen G, Schutyser F . Three-dimensional cephalometry: spiral multi-slice vs cone-beam computed tomography. Am J Orthod Dentofacial Orthop. 2006; 130(3):410-6. DOI: 10.1016/j.ajodo.2005.11.035. View

12.

Swennen G, Schutyser F, Barth E, De Groeve P, De Mey A . A new method of 3-D cephalometry Part I: the anatomic Cartesian 3-D reference system. J Craniofac Surg. 2006; 17(2):314-25. DOI: 10.1097/00001665-200603000-00019. View

13.

Marten K, Dullin C, Machann W, Schmid J, Das M, Hermann K . Comparison of flat-panel-detector-based CT and multidetector-row CT in automated volumetry of pulmonary nodules using an anthropomorphic chest phantom. Br J Radiol. 2009; 82(981):716-23. DOI: 10.1259/bjr/40733553. View

14.

Kamburoglu K, Yilmaz F, Gulsahi K, Gulen O, Gulsahi A . Change in Periapical Lesion and Adjacent Mucosal Thickening Dimensions One Year after Endodontic Treatment: Volumetric Cone-beam Computed Tomography Assessment. J Endod. 2017; 43(2):218-224. DOI: 10.1016/j.joen.2016.10.023. View

15.

Liu Y, Olszewski R, Alexandroni E, Enciso R, Xu T, Mah J . The validity of in vivo tooth volume determinations from cone-beam computed tomography. Angle Orthod. 2009; 80(1):160-6. PMC: 8978733. DOI: 10.2319/121608-639.1. View

16.

Lenza M, Lenza M, Dalstra M, Melsen B, Cattaneo P . An analysis of different approaches to the assessment of upper airway morphology: a CBCT study. Orthod Craniofac Res. 2010; 13(2):96-105. DOI: 10.1111/j.1601-6343.2010.01482.x. View

17.

Kasaven C, Ivekovic S, McIntyre G, Gillgrass T, Thomson D, Menhinick A . Validation of the volumetric measurement of a simulated maxillary alveolar bone defect using cone-beam computed tomography. Cleft Palate Craniofac J. 2012; 50(6):e115-20. DOI: 10.1597/12-161. View

18.

Zhou W, Xu Y, Jiang H, Wan L, Du Y . Accurate Evaluation of Cone-Beam Computed Tomography to Volumetrically Assess Bone Grafting in Alveolar Cleft Patients. J Craniofac Surg. 2015; 26(6):e535-9. DOI: 10.1097/SCS.0000000000002034. View

19.

Miracle A, Mukherji S . Conebeam CT of the head and neck, part 2: clinical applications. AJNR Am J Neuroradiol. 2009; 30(7):1285-92. PMC: 7051564. DOI: 10.3174/ajnr.A1654. View

20.

Mozzo P, Procacci C, Tacconi A, Martini P, Andreis I . A new volumetric CT machine for dental imaging based on the cone-beam technique: preliminary results. Eur Radiol. 1998; 8(9):1558-64. DOI: 10.1007/s003300050586. View