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Published in: Oral Radiology 4/2023

24-03-2023 | Digital Volume Tomography | Original Article

Assessment of the diagnostic accuracy of strip and furcal perforations in different sizes by cone beam computed tomography

Authors: Zahra Ghoncheh, Hanieh Kaviani, Sara Soleimani, Shifteh Nasri, Fatemeh Malekpour, Farzaneh Afkhami

Published in: Oral Radiology | Issue 4/2023

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Abstract

Objective

Root perforation is an adverse event that may accidentally occur during root canal treatment and can adversely affect the treatment plan and tooth prognosis. This study aimed to assess the accuracy of cone beam computed tomography (CBCT) for detecting the strip and furcal perforations with different sizes.

Methods

The mesiolingual canals of 155 extracted human mandibular first molars were instrumented and randomly divided into four experimental groups and one control group (n = 31). Furcal (in the pulp chamber floor) and strip perforations with 0.5, 1, 1.5, and 2 mm in diameter were manually created. The teeth were randomly mounted in bovine ribs and scanned using CBCT. Two radiologists unaware of the study groups observed the images and reported the greatest perforation diameter. The inter-observer agreements were calculated. The diagnostic accuracy was compared for furcal and strip perforations with different sizes.

Results

The inter-observer agreement for detecting furcal and strip perforations with different sizes were good. The diagnostic accuracy was 100% for the absence of perforation in each group.

Conclusions

CBCT can detect the absence of perforation with high accuracy. The diagnostic accuracy of CBCT in the presence of strip and furcal perforation with different sizes was not significant.
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Metadata
Title
Assessment of the diagnostic accuracy of strip and furcal perforations in different sizes by cone beam computed tomography
Authors
Zahra Ghoncheh
Hanieh Kaviani
Sara Soleimani
Shifteh Nasri
Fatemeh Malekpour
Farzaneh Afkhami
Publication date
24-03-2023
Publisher
Springer Nature Singapore
Published in
Oral Radiology / Issue 4/2023
Print ISSN: 0911-6028
Electronic ISSN: 1613-9674
DOI
https://doi.org/10.1007/s11282-023-00681-y

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