Evaluating Diagnostic Efficacy of Cone Beam Computed Tomography Performed in Different Imaging Conditions Based on Field of View and Resolution in the Detection of Mandibular Condyle Erosions: An In Vitro Study
Background: New cone beam computed tomography (CBCT) devices have the ability to take images with different fields of views (FOVs) and resolutions. The larger the FOV and the higher resolution of the image, the higher the patient’s dose would be. Objectives: This research aims to analyze the diagnos...
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creator | Sharifi Shoshtari, Sanaz Razavi, Mahshid Boostani Fard, Parisa Rohani, Ali Hamidiaval, Shadi Niroomand, Naghme |
description | Background: New cone beam computed tomography (CBCT) devices have the ability to take images with different fields of views (FOVs) and resolutions. The larger the FOV and the higher resolution of the image, the higher the patient’s dose would be. Objectives: This research aims to analyze the diagnostic accuracy of FOV’s different dimensions and the various resolutions in the diagnosis of mandibular condyle erosions. Materials and Methods: CBCT images using NewTom VGi (Verona, Italy) system in five different FOVs and resolutions (voxel size) were taken from eight human dried mandibles in which the erosion-like lesions were created on both condyles. Imaging was performed before and after the formation of erosion; afterwards, the images were evaluated by two maxillofacial radiologists to analyze the absence or presence of the lesions. Resultant data was evaluated by SPSS V. 22.0, McNemar and Kappa statistical methods. Results: The highest sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were attributed to 8 × 8 FOV and the lowest was attributed to 12 × 8 FOV. In analyzing different resolutions, the highest sensitivity, specificity, PPV, and NPV were attributed to high resolution (0.125 and 0.15 mm voxel size). There was no statistically significant difference between sensitivity, specificity, PPV, and NPV of different FOVs and different resolutions. Inter-observer and intra-observer cofficiency were at excellent range. Conclusion: Considering there was no significant difference between the results, it is possible to use voxels in larger size to reduce patient’s dose in order to detect mandibular condyle erosions. In addition, FOV with lower patient’s dose is the method of choice. |
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The larger the FOV and the higher resolution of the image, the higher the patient’s dose would be. Objectives: This research aims to analyze the diagnostic accuracy of FOV’s different dimensions and the various resolutions in the diagnosis of mandibular condyle erosions. Materials and Methods: CBCT images using NewTom VGi (Verona, Italy) system in five different FOVs and resolutions (voxel size) were taken from eight human dried mandibles in which the erosion-like lesions were created on both condyles. Imaging was performed before and after the formation of erosion; afterwards, the images were evaluated by two maxillofacial radiologists to analyze the absence or presence of the lesions. Resultant data was evaluated by SPSS V. 22.0, McNemar and Kappa statistical methods. Results: The highest sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were attributed to 8 × 8 FOV and the lowest was attributed to 12 × 8 FOV. In analyzing different resolutions, the highest sensitivity, specificity, PPV, and NPV were attributed to high resolution (0.125 and 0.15 mm voxel size). There was no statistically significant difference between sensitivity, specificity, PPV, and NPV of different FOVs and different resolutions. Inter-observer and intra-observer cofficiency were at excellent range. Conclusion: Considering there was no significant difference between the results, it is possible to use voxels in larger size to reduce patient’s dose in order to detect mandibular condyle erosions. In addition, FOV with lower patient’s dose is the method of choice.</description><identifier>ISSN: 1735-1065</identifier><identifier>EISSN: 2008-2711</identifier><identifier>DOI: 10.5812/iranjradiol.60493</identifier><language>eng</language><publisher>Tehran: Tehran University of Medical Sciences</publisher><subject>Computed tomography ; Diagnostic systems ; Field of view ; Lesions ; Medical imaging ; Statistical methods ; Tomography</subject><ispartof>Iranian journal of radiology, 2019-07, Vol.16 (3)</ispartof><rights>2019. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c268t-cdb7c725a2f1b289a06053252a52792ab20eaa735925e2e338c2906ce0e192d23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Sharifi Shoshtari, Sanaz</creatorcontrib><creatorcontrib>Razavi, Mahshid</creatorcontrib><creatorcontrib>Boostani Fard, Parisa</creatorcontrib><creatorcontrib>Rohani, Ali</creatorcontrib><creatorcontrib>Hamidiaval, Shadi</creatorcontrib><creatorcontrib>Niroomand, Naghme</creatorcontrib><title>Evaluating Diagnostic Efficacy of Cone Beam Computed Tomography Performed in Different Imaging Conditions Based on Field of View and Resolution in the Detection of Mandibular Condyle Erosions: An In Vitro Study</title><title>Iranian journal of radiology</title><description>Background: New cone beam computed tomography (CBCT) devices have the ability to take images with different fields of views (FOVs) and resolutions. The larger the FOV and the higher resolution of the image, the higher the patient’s dose would be. Objectives: This research aims to analyze the diagnostic accuracy of FOV’s different dimensions and the various resolutions in the diagnosis of mandibular condyle erosions. Materials and Methods: CBCT images using NewTom VGi (Verona, Italy) system in five different FOVs and resolutions (voxel size) were taken from eight human dried mandibles in which the erosion-like lesions were created on both condyles. Imaging was performed before and after the formation of erosion; afterwards, the images were evaluated by two maxillofacial radiologists to analyze the absence or presence of the lesions. Resultant data was evaluated by SPSS V. 22.0, McNemar and Kappa statistical methods. Results: The highest sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were attributed to 8 × 8 FOV and the lowest was attributed to 12 × 8 FOV. In analyzing different resolutions, the highest sensitivity, specificity, PPV, and NPV were attributed to high resolution (0.125 and 0.15 mm voxel size). There was no statistically significant difference between sensitivity, specificity, PPV, and NPV of different FOVs and different resolutions. Inter-observer and intra-observer cofficiency were at excellent range. Conclusion: Considering there was no significant difference between the results, it is possible to use voxels in larger size to reduce patient’s dose in order to detect mandibular condyle erosions. In addition, FOV with lower patient’s dose is the method of choice.</description><subject>Computed tomography</subject><subject>Diagnostic systems</subject><subject>Field of view</subject><subject>Lesions</subject><subject>Medical imaging</subject><subject>Statistical methods</subject><subject>Tomography</subject><issn>1735-1065</issn><issn>2008-2711</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNkc1u1DAURiMEEkPhAdhZYp1i38T5YddOpzBSEVVpu43uONdTjxJ7sJ2ivCZPhDNlwcrWp-Pjq_tl2UfBz2Uj4LPxaA8ee-OG84qXbfEqWwHnTQ61EK-zlagLmQteybfZuxAOnMuqLcUq-7N5xmHCaOyeXRncWxeiUWyjtVGoZuY0WztL7JJwTLfxOEXq2b0b3d7j8Wlmt-S182MKjU0GrcmTjWw74n5xpse9icbZwC4xJMpZdm1o6Bfzo6HfDG3P7ii4YVqwxRKfiF1RJHUKEvc9MWY3DehPvnkgtvEuLNYv7MKyrU2q6B37Gad-fp-90TgE-vDvPMserjf362_5zY-v2_XFTa6gamKu-l2tapAIWuygaZFXXBYgASXULeAOOCGmtbUgCagoGgUtrxRxEi30UJxln168R-9-TRRid3CTt-nLDopGlmVdtmWixAul0sTBk-6O3ozo507wbqmu-6-67lRd8RdlFJKI</recordid><startdate>20190701</startdate><enddate>20190701</enddate><creator>Sharifi Shoshtari, Sanaz</creator><creator>Razavi, Mahshid</creator><creator>Boostani Fard, Parisa</creator><creator>Rohani, Ali</creator><creator>Hamidiaval, Shadi</creator><creator>Niroomand, Naghme</creator><general>Tehran University of Medical Sciences</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>M0S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20190701</creationdate><title>Evaluating Diagnostic Efficacy of Cone Beam Computed Tomography Performed in Different Imaging Conditions Based on Field of View and Resolution in the Detection of Mandibular Condyle Erosions: An In Vitro Study</title><author>Sharifi Shoshtari, Sanaz ; Razavi, Mahshid ; Boostani Fard, Parisa ; Rohani, Ali ; Hamidiaval, Shadi ; Niroomand, Naghme</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c268t-cdb7c725a2f1b289a06053252a52792ab20eaa735925e2e338c2906ce0e192d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Computed tomography</topic><topic>Diagnostic systems</topic><topic>Field of view</topic><topic>Lesions</topic><topic>Medical imaging</topic><topic>Statistical methods</topic><topic>Tomography</topic><toplevel>online_resources</toplevel><creatorcontrib>Sharifi Shoshtari, Sanaz</creatorcontrib><creatorcontrib>Razavi, Mahshid</creatorcontrib><creatorcontrib>Boostani Fard, Parisa</creatorcontrib><creatorcontrib>Rohani, Ali</creatorcontrib><creatorcontrib>Hamidiaval, Shadi</creatorcontrib><creatorcontrib>Niroomand, Naghme</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East & Africa Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Iranian journal of radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sharifi Shoshtari, Sanaz</au><au>Razavi, Mahshid</au><au>Boostani Fard, Parisa</au><au>Rohani, Ali</au><au>Hamidiaval, Shadi</au><au>Niroomand, Naghme</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating Diagnostic Efficacy of Cone Beam Computed Tomography Performed in Different Imaging Conditions Based on Field of View and Resolution in the Detection of Mandibular Condyle Erosions: An In Vitro Study</atitle><jtitle>Iranian journal of radiology</jtitle><date>2019-07-01</date><risdate>2019</risdate><volume>16</volume><issue>3</issue><issn>1735-1065</issn><eissn>2008-2711</eissn><abstract>Background: New cone beam computed tomography (CBCT) devices have the ability to take images with different fields of views (FOVs) and resolutions. The larger the FOV and the higher resolution of the image, the higher the patient’s dose would be. Objectives: This research aims to analyze the diagnostic accuracy of FOV’s different dimensions and the various resolutions in the diagnosis of mandibular condyle erosions. Materials and Methods: CBCT images using NewTom VGi (Verona, Italy) system in five different FOVs and resolutions (voxel size) were taken from eight human dried mandibles in which the erosion-like lesions were created on both condyles. Imaging was performed before and after the formation of erosion; afterwards, the images were evaluated by two maxillofacial radiologists to analyze the absence or presence of the lesions. Resultant data was evaluated by SPSS V. 22.0, McNemar and Kappa statistical methods. Results: The highest sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were attributed to 8 × 8 FOV and the lowest was attributed to 12 × 8 FOV. In analyzing different resolutions, the highest sensitivity, specificity, PPV, and NPV were attributed to high resolution (0.125 and 0.15 mm voxel size). There was no statistically significant difference between sensitivity, specificity, PPV, and NPV of different FOVs and different resolutions. Inter-observer and intra-observer cofficiency were at excellent range. Conclusion: Considering there was no significant difference between the results, it is possible to use voxels in larger size to reduce patient’s dose in order to detect mandibular condyle erosions. In addition, FOV with lower patient’s dose is the method of choice.</abstract><cop>Tehran</cop><pub>Tehran University of Medical Sciences</pub><doi>10.5812/iranjradiol.60493</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computed tomography Diagnostic systems Field of view Lesions Medical imaging Statistical methods Tomography |
title | Evaluating Diagnostic Efficacy of Cone Beam Computed Tomography Performed in Different Imaging Conditions Based on Field of View and Resolution in the Detection of Mandibular Condyle Erosions: An In Vitro Study |
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