{"id":{"repo_id":"ohiolink","oai_identifier":"oai:etd.ohiolink.edu:osu1363606389"},"canonical_url":"https://search.dev.ndltd.org/etd/ohiolink/oai:etd.ohiolink.edu:osu1363606389","repository":{"repo_id":"ohiolink","name":"OhioLINK","base_url":"https://etd.ohiolink.edu/acprod/odb_etd/ws/oai/oai"},"display":{"title":"Sensitivity and Accuracy of Cone Beam Computed Tomography in Diagnosing Osseous Defects at the Mandibular Condyle","abstract":"Objectives: To assess the ability of using cone-beam computed tomography (CBCT) to diagnose small osseous defects at the mandibular condyle, this study investigated: 1) the impact of defect size and CBCT scan resolutions on the accuracy of qualitative and quantitative diagnoses of condylar defects and, 2) the ability to determine a suspected defect to be true/false based on CBCT measurements. Methods: Cylindrical holes simulating condylar defects of varied levels of diameter (=2mm; 2-3mm; >3mm) and depth (=2mm; >2mm) were created at 22 fresh pig mandibular condyles, with defect number/size per condyle/quadrant randomly determined. With soft tissues repositioned, CBCT scans (0.4mm, 0.2mm voxel-size) of the pig heads were obtained. Reconstructed CBCT data were analyzed independently by two calibrated, blinded raters using Dolphin-3D to diagnose osseous defects qualitatively (defect identification/localization) and quantitatively (geometric measurements of diameter/depth), which were compared to physical diagnoses obtained from polyvinyl siloxane impressions. Statistical tests were conducted for the research objectives. Results: Overall, qualitative defect identification/localization demonstrated moderate inter-rater reliability, excellent specificity and sensitivity, except for extremely small defects (both diameter and depth <2mm) viewed from 0.4mm scans, which had a significantly lower sensitivity (67.3%). Quantitative diagnoses (geometric measurements) demonstrated good inter-rater reliability, only submillimeter inaccuracy regardless of the variation of defect sizes or scan resolutions. The overall ability to determine true/false of a suspected defect based on its CBCT geometric measurements was fair to good depending on scan resolutions. For a suspected defect with less than 2mm (diameter), 1.2mm (depth) or 3.7mm3 (volume) CBCT measurements, a positive diagnosis had less than 80% specificity. Conclusion: When using 0.4mm voxel-size CBCT scans, extremely small (1-2mm) condylar osseous defects are difficult to detect; accepting a suspected defect with only 1-2 mm linear CBCT measurements as a true defect has over 20% chance of making a false-positive error.","abstract_html":"Objectives: To assess the ability of using cone-beam computed tomography (CBCT) to diagnose small osseous defects at the mandibular condyle, this study investigated: 1) the impact of defect size and CBCT scan resolutions on the accuracy of qualitative and quantitative diagnoses of condylar defects and, 2) the ability to determine a suspected defect to be true/false based on CBCT measurements. Methods: Cylindrical holes simulating condylar defects of varied levels of diameter (=2mm; 2-3mm; &gt;3mm) and depth (=2mm; &gt;2mm) were created at 22 fresh pig mandibular condyles, with defect number/size per condyle/quadrant randomly determined. With soft tissues repositioned, CBCT scans (0.4mm, 0.2mm voxel-size) of the pig heads were obtained. Reconstructed CBCT data were analyzed independently by two calibrated, blinded raters using Dolphin-3D to diagnose osseous defects qualitatively (defect identification/localization) and quantitatively (geometric measurements of diameter/depth), which were compared to physical diagnoses obtained from polyvinyl siloxane impressions. Statistical tests were conducted for the research objectives. Results: Overall, qualitative defect identification/localization demonstrated moderate inter-rater reliability, excellent specificity and sensitivity, except for extremely small defects (both diameter and depth &lt;2mm) viewed from 0.4mm scans, which had a significantly lower sensitivity (67.3%). Quantitative diagnoses (geometric measurements) demonstrated good inter-rater reliability, only submillimeter inaccuracy regardless of the variation of defect sizes or scan resolutions. The overall ability to determine true/false of a suspected defect based on its CBCT geometric measurements was fair to good depending on scan resolutions. For a suspected defect with less than 2mm (diameter), 1.2mm (depth) or 3.7mm3 (volume) CBCT measurements, a positive diagnosis had less than 80% specificity. Conclusion: When using 0.4mm voxel-size CBCT scans, extremely small (1-2mm) condylar osseous defects are difficult to detect; accepting a suspected defect with only 1-2 mm linear CBCT measurements as a true defect has over 20% chance of making a false-positive error.","abstract_has_math":false,"creators":["Patel, Alpesh"],"institution":"The Ohio State University","degree_name":"Master of Science","degree_level":"masters","degree_discipline":"Dentistry","degree_department":null,"school":null,"contributors":["Sun, Zongyang"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013-05-24","date_published":"2013-05-24","updated_at":"2026-07-24T03:37:01Z","subjects":["Dentistry","Radiology","CBCT","mandibular condyle","porcine","diagnosis"],"languages":["English"],"rights":["unrestricted","This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://rave.ohiolink.edu/etdc/view?acc_num=osu1363606389","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Sun, Zongyang"]},{"key":"dc:creator","label":"Author","values":["Patel, Alpesh"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2013-05-24"]},{"key":"dc:publisher","label":"Institution","values":["The Ohio State University / OhioLINK"]},{"key":"dc:type","label":"Dc Type","values":["Electronic Thesis or Dissertation"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Dentistry"]},{"key":"thesis:degree_level","label":"Degree Level","values":["masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["The Ohio State University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Dentistry","Radiology","CBCT","mandibular condyle","porcine","diagnosis"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]},{"key":"dc:rights","label":"Dc Rights","values":["unrestricted","This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://rave.ohiolink.edu/etdc/view?acc_num=osu1363606389"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Objectives: To assess the ability of using cone-beam computed tomography (CBCT) to diagnose small osseous defects at the mandibular condyle, this study investigated: 1) the impact of defect size and CBCT scan resolutions on the accuracy of qualitative and quantitative diagnoses of condylar defects and, 2) the ability to determine a suspected defect to be true/false based on CBCT measurements. Methods: Cylindrical holes simulating condylar defects of varied levels of diameter (=2mm; 2-3mm; >3mm) and depth (=2mm; >2mm) were created at 22 fresh pig mandibular condyles, with defect number/size per condyle/quadrant randomly determined. With soft tissues repositioned, CBCT scans (0.4mm, 0.2mm voxel-size) of the pig heads were obtained. Reconstructed CBCT data were analyzed independently by two calibrated, blinded raters using Dolphin-3D to diagnose osseous defects qualitatively (defect identification/localization) and quantitatively (geometric measurements of diameter/depth), which were compared to physical diagnoses obtained from polyvinyl siloxane impressions. Statistical tests were conducted for the research objectives. Results: Overall, qualitative defect identification/localization demonstrated moderate inter-rater reliability, excellent specificity and sensitivity, except for extremely small defects (both diameter and depth <2mm) viewed from 0.4mm scans, which had a significantly lower sensitivity (67.3%). Quantitative diagnoses (geometric measurements) demonstrated good inter-rater reliability, only submillimeter inaccuracy regardless of the variation of defect sizes or scan resolutions. The overall ability to determine true/false of a suspected defect based on its CBCT geometric measurements was fair to good depending on scan resolutions. For a suspected defect with less than 2mm (diameter), 1.2mm (depth) or 3.7mm3 (volume) CBCT measurements, a positive diagnosis had less than 80% specificity. Conclusion: When using 0.4mm voxel-size CBCT scans, extremely small (1-2mm) condylar osseous defects are difficult to detect; accepting a suspected defect with only 1-2 mm linear CBCT measurements as a true defect has over 20% chance of making a false-positive error."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf","1.06 MB"]},{"key":"dc:title","label":"Title","values":["Sensitivity and Accuracy of Cone Beam Computed Tomography in Diagnosing Osseous Defects at the Mandibular Condyle"]}]}],"canonical_facts":{"dc:contributor":["Sun, Zongyang"],"dc:creator":["Patel, Alpesh"],"dc:date":["2013-05-24"],"dc:description":["Objectives: To assess the ability of using cone-beam computed tomography (CBCT) to diagnose small osseous defects at the mandibular condyle, this study investigated: 1) the impact of defect size and CBCT scan resolutions on the accuracy of qualitative and quantitative diagnoses of condylar defects and, 2) the ability to determine a suspected defect to be true/false based on CBCT measurements. Methods: Cylindrical holes simulating condylar defects of varied levels of diameter (=2mm; 2-3mm; >3mm) and depth (=2mm; >2mm) were created at 22 fresh pig mandibular condyles, with defect number/size per condyle/quadrant randomly determined. With soft tissues repositioned, CBCT scans (0.4mm, 0.2mm voxel-size) of the pig heads were obtained. Reconstructed CBCT data were analyzed independently by two calibrated, blinded raters using Dolphin-3D to diagnose osseous defects qualitatively (defect identification/localization) and quantitatively (geometric measurements of diameter/depth), which were compared to physical diagnoses obtained from polyvinyl siloxane impressions. Statistical tests were conducted for the research objectives. Results: Overall, qualitative defect identification/localization demonstrated moderate inter-rater reliability, excellent specificity and sensitivity, except for extremely small defects (both diameter and depth <2mm) viewed from 0.4mm scans, which had a significantly lower sensitivity (67.3%). Quantitative diagnoses (geometric measurements) demonstrated good inter-rater reliability, only submillimeter inaccuracy regardless of the variation of defect sizes or scan resolutions. The overall ability to determine true/false of a suspected defect based on its CBCT geometric measurements was fair to good depending on scan resolutions. For a suspected defect with less than 2mm (diameter), 1.2mm (depth) or 3.7mm3 (volume) CBCT measurements, a positive diagnosis had less than 80% specificity. Conclusion: When using 0.4mm voxel-size CBCT scans, extremely small (1-2mm) condylar osseous defects are difficult to detect; accepting a suspected defect with only 1-2 mm linear CBCT measurements as a true defect has over 20% chance of making a false-positive error."],"dc:format":["application/pdf","1.06 MB"],"dc:identifier":["http://rave.ohiolink.edu/etdc/view?acc_num=osu1363606389"],"dc:language":["English"],"dc:publisher":["The Ohio State University / OhioLINK"],"dc:rights":["unrestricted","This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws."],"dc:subject":["Dentistry","Radiology","CBCT","mandibular condyle","porcine","diagnosis"],"dc:title":["Sensitivity and Accuracy of Cone Beam Computed Tomography in Diagnosing Osseous Defects at the Mandibular Condyle"],"dc:type":["Electronic Thesis or Dissertation"],"thesis:degree_discipline":["Dentistry"],"thesis:degree_level":["masters"],"thesis:degree_name":["Master of Science"],"thesis:institution_name":["The Ohio State University"]},"updated_at":"2026-07-24T03:37:01Z"}