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Detectability of Osseous Lesions with a Pre-Programmed Low-Dose Protocol for Cone-Beam Computed Tomography

Döbelin, Quirin; Stadlinger, Bernd; Wiedemeier, Daniel B; Bichsel, Dominique; Rücker, Martin; Valdec, Silvio (2020). Detectability of Osseous Lesions with a Pre-Programmed Low-Dose Protocol for Cone-Beam Computed Tomography. Applied Sciences, 10(14):4961.

Abstract

The present study aimed to compare the diagnostic reliability of a pre-set, manufacturer-specific, low-dose mode against a standard-dose mode in the detection of four different osseous lesions in the mandible with cone-beam computed tomography (CBCT). Four types of lesions (periapical lesion, extended periodontal gap, recession of the buccal lamella, sequestrum/fracture) were prepared on 40 pig mandibles. CBCT images were obtained from each mandible, with both the low-dose and standard-dose modes using the Orthophos SL CBCT device (Dentsply-Sirona, Bensheim, Germany). Twelve assessors quantitatively (detection of lesions) and qualitatively (assessment of detectability) evaluated the CBCT images in SIDEXIS 4 (Dentsply-Sirona) using a study-specific digital examination tool. A correct diagnosis was achieved in almost 71% (LD: 70.8%; SD: 70.9%) of 1920 lesions, without a statistically significant difference between the low-dose and standard-dose mode. This finding was consistent across all four lesion types. In conclusion, while low-dose mode and standard-dose mode CBCT scans performed similarly in the detection of four prepared lesions of the mandible, the former may be a promising, user-friendly alternative method of obtaining radiation-optimized, three-dimensional images in accordance with the As Low As Diagnostically Acceptable (ALADA) principle.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Center for Dental Medicine > Clinic of Cranio-Maxillofacial Surgery
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Physical Sciences > General Materials Science
Physical Sciences > Instrumentation
Physical Sciences > General Engineering
Physical Sciences > Process Chemistry and Technology
Physical Sciences > Computer Science Applications
Physical Sciences > Fluid Flow and Transfer Processes
Language:English
Date:19 July 2020
Deposited On:04 Dec 2020 13:03
Last Modified:24 Dec 2024 02:37
Publisher:MDPI Publishing
ISSN:2076-3417
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.3390/app10144961
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  • Licence: Creative Commons: Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

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