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Is It Possible To Estimate Volume of Bone Defects Formed on Dry Sheep Mandibles More Practically by Secondarily Reconstructing Section Thickness of Cone Beam Computed Tomography Images

dc.authorid Kaya, Sema/0000-0002-6306-3901
dc.authorscopusid 57204288758
dc.authorscopusid 57218586967
dc.authorwosid Kaya, Sema/Jyp-4554-2024
dc.contributor.author Koc, Alaettin
dc.contributor.author Kaya, Sema
dc.date.accessioned 2025-05-10T17:08:00Z
dc.date.available 2025-05-10T17:08:00Z
dc.date.issued 2021
dc.department T.C. Van Yüzüncü Yıl Üniversitesi en_US
dc.department-temp [Koc, Alaettin; Kaya, Sema] Yuzuncu Yil Univ, Fac Dent, Dept Oral & Maxillofacial Radiol, Van, Turkey en_US
dc.description Kaya, Sema/0000-0002-6306-3901 en_US
dc.description.abstract Objectives: The purpose of this study was to evaluate the effect of section thickness on volume estimations of bone defects scanned using cone beam computed tomography (CBCT). Methods: 25 bone defects were prepared on sheep mandibles and scanned using a KaVo 3D eXam (KaVo Dental, Biberach, Germany) CBCT device. Section thickness of images were reconstructed at 0.25, 0.5, and 0.75 mm to estimate the volume of these defects using the semiautomatic segmentation method. The volume averages obtained using microcomputed tomography and Archimedes' method served as reference values. The estimated volumes at each section thickness were compared with the actual volumes using the Friedman test. The accuracy of volume estimation was determined by the percentage error with respect to the reference values, and the mean absolute error (MAE) was calculated. Results: Volumetric values of bone defects obtained with CBCT at section thicknesses up to 0.5 mm were compatible with the actual volumes (p > 0.05). The percentage errors at section thicknesses of 0.25, 0.5, and 0.75 mm were -5.4%, -7.3%, and -13.1%, respectively. The mean absolute errors were 13.6 mm(3), 15.7 mm(3), and 18.2 mm(3), respectively. Conclusions: The section thickness values of CBCT images can be increased to a reasonable level to obtain accurate volume estimation results and save time. The semiautomatic segmentation method can be used reliably for volume estimations of bone defects. en_US
dc.description.sponsorship Van Yuzuncu Yil University [THD-2019-7897] en_US
dc.description.sponsorship This work was supported by Research Fund of the Van Yuzuncu Yil University. Project Number: THD-2019-7897. en_US
dc.description.woscitationindex Science Citation Index Expanded
dc.identifier.doi 10.1259/dmfr.20200400
dc.identifier.issn 0250-832X
dc.identifier.issn 1476-542X
dc.identifier.issue 3 en_US
dc.identifier.pmid 33035111
dc.identifier.scopus 2-s2.0-85101623818
dc.identifier.scopusquality Q1
dc.identifier.uri https://doi.org/10.1259/dmfr.20200400
dc.identifier.uri https://hdl.handle.net/20.500.14720/6938
dc.identifier.volume 50 en_US
dc.identifier.wos WOS:000621319000010
dc.identifier.wosquality Q2
dc.language.iso en en_US
dc.publisher British inst Radiology en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Cone Beam Computed Tomography en_US
dc.subject Quantitative Evaluation en_US
dc.subject Computer-Assisted Image Analysis en_US
dc.subject Image Segmentation en_US
dc.title Is It Possible To Estimate Volume of Bone Defects Formed on Dry Sheep Mandibles More Practically by Secondarily Reconstructing Section Thickness of Cone Beam Computed Tomography Images en_US
dc.type Article en_US

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