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Effect of Field Of View on Detection of External Root Resorption in Cone-Beam Computed Tomography

INTRODUCTION: Conventional methods for diagnosis of external root resorption (ERR) are based on clinical findings and x-ray observations which are not appropriate for early diagnosis. The present study assessed the effect of different sizes and field of views (FOVs) in the diagnosis of simulated ext...

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Autores principales: Safi, Yaser, Ghaedsharaf, Sahar, Aziz, Alireza, Hosseinpour, Sepanta, Mortazavi, Hamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Iranian Center for Endodontic Research 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5431714/
https://www.ncbi.nlm.nih.gov/pubmed/28512482
http://dx.doi.org/10.22037/iej.2017.35
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author Safi, Yaser
Ghaedsharaf, Sahar
Aziz, Alireza
Hosseinpour, Sepanta
Mortazavi, Hamed
author_facet Safi, Yaser
Ghaedsharaf, Sahar
Aziz, Alireza
Hosseinpour, Sepanta
Mortazavi, Hamed
author_sort Safi, Yaser
collection PubMed
description INTRODUCTION: Conventional methods for diagnosis of external root resorption (ERR) are based on clinical findings and x-ray observations which are not appropriate for early diagnosis. The present study assessed the effect of different sizes and field of views (FOVs) in the diagnosis of simulated external root resorption by cone-beam computed tomography (CBCT). METHODS AND MATERIALS: In this diagnostic in vitro trial, 100 human extracted mandibular central incisors were collected and marked in 3 apical, middle and coronal areas. Cavities with different sizes were created in buccal and lingual surfaces of each area. Following this procedure, CBCT images were taken in 2 different 6 × 6 cm and 12 × 8 cm FOVs with the same voxel size of 0.2 mm. Absence or presence of cavities in CBCT images were assigned by 3 radiologists and compared with gold standard results which were obtained by measurement of the size of cavities using a digital caliper. Sensitivity and specificity values, positive predictive value (PPV) and negative predictive value (NPV), A(Z) value and Kappa values were calculated and reported. RESULTS: Amounts of sensitivity in 6 × 6 cm FOV with voxel size of 0.2 mm for small, medium and large cavities were 95.93%, 96.03% and 97.1%, respectively. Amounts of sensitivity in 12 × 8cm FOV with the same voxel size for small, medium and large cavities were noted as 94.4%, 96.03% and 98.5%, respectively. However, specificity in FOV of 6 × 6 cm and FOV of 12 × 8 cm was calculated as 93.03% and 90.83%, respectively. CONCLUSION: Both used FOVs show nearly same performances in the case of detection of ERR; therefore, smaller FOV should be preferably used for detection of ERR in order to decrease the amount of imposed radiation dose given to patients.
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spelling pubmed-54317142017-05-16 Effect of Field Of View on Detection of External Root Resorption in Cone-Beam Computed Tomography Safi, Yaser Ghaedsharaf, Sahar Aziz, Alireza Hosseinpour, Sepanta Mortazavi, Hamed Iran Endod J Original Article INTRODUCTION: Conventional methods for diagnosis of external root resorption (ERR) are based on clinical findings and x-ray observations which are not appropriate for early diagnosis. The present study assessed the effect of different sizes and field of views (FOVs) in the diagnosis of simulated external root resorption by cone-beam computed tomography (CBCT). METHODS AND MATERIALS: In this diagnostic in vitro trial, 100 human extracted mandibular central incisors were collected and marked in 3 apical, middle and coronal areas. Cavities with different sizes were created in buccal and lingual surfaces of each area. Following this procedure, CBCT images were taken in 2 different 6 × 6 cm and 12 × 8 cm FOVs with the same voxel size of 0.2 mm. Absence or presence of cavities in CBCT images were assigned by 3 radiologists and compared with gold standard results which were obtained by measurement of the size of cavities using a digital caliper. Sensitivity and specificity values, positive predictive value (PPV) and negative predictive value (NPV), A(Z) value and Kappa values were calculated and reported. RESULTS: Amounts of sensitivity in 6 × 6 cm FOV with voxel size of 0.2 mm for small, medium and large cavities were 95.93%, 96.03% and 97.1%, respectively. Amounts of sensitivity in 12 × 8cm FOV with the same voxel size for small, medium and large cavities were noted as 94.4%, 96.03% and 98.5%, respectively. However, specificity in FOV of 6 × 6 cm and FOV of 12 × 8 cm was calculated as 93.03% and 90.83%, respectively. CONCLUSION: Both used FOVs show nearly same performances in the case of detection of ERR; therefore, smaller FOV should be preferably used for detection of ERR in order to decrease the amount of imposed radiation dose given to patients. Iranian Center for Endodontic Research 2017 /pmc/articles/PMC5431714/ /pubmed/28512482 http://dx.doi.org/10.22037/iej.2017.35 Text en This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Safi, Yaser
Ghaedsharaf, Sahar
Aziz, Alireza
Hosseinpour, Sepanta
Mortazavi, Hamed
Effect of Field Of View on Detection of External Root Resorption in Cone-Beam Computed Tomography
title Effect of Field Of View on Detection of External Root Resorption in Cone-Beam Computed Tomography
title_full Effect of Field Of View on Detection of External Root Resorption in Cone-Beam Computed Tomography
title_fullStr Effect of Field Of View on Detection of External Root Resorption in Cone-Beam Computed Tomography
title_full_unstemmed Effect of Field Of View on Detection of External Root Resorption in Cone-Beam Computed Tomography
title_short Effect of Field Of View on Detection of External Root Resorption in Cone-Beam Computed Tomography
title_sort effect of field of view on detection of external root resorption in cone-beam computed tomography
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5431714/
https://www.ncbi.nlm.nih.gov/pubmed/28512482
http://dx.doi.org/10.22037/iej.2017.35
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