The accuracy of ZeroBase™ orthodontic software program was tested using a sample of 14 male and 14 female untreated subjects classified as skeletal Class II pattern by the Burlington growth center. Growth predictions were carried out by ZeroBaseTM from ages 6,9,12,14,16 in males and 6,9,12 and 14 in females. The mean computer predicted value was compared with the mean radiographic value to test the accuracy of the predictions. Predictions from age 14 were the most accurate (within one standard deviation), whereas the predictions from age 6 were the least accurate. In males, the accuracy of cranial base predictions was 73.3%, maxilla was 66.7% and mandible was 97.3% to one standard deviation of the norm. In females, the accuracy was 70% for cranial base, 100% for maxilla and 92% for mandible to one standard deviation of the norm. The software program predicted growth in females more accurately than in males.
Based on the accuracy of identifiable points, ZeroBase™ proved to be very accurate. However, due to difficulty in landmark identification in the radiographs, and due to missing radiographs, which resulted in a different sample sizes in the different age groups, it is not possible to make definite conclusions from the results obtained. Additional comparative studies using excellent records are recommended.
","abstract_html":"<p>The accuracy of ZeroBase™ orthodontic software program was tested using a sample of 14 male and 14 female untreated subjects classified as skeletal Class II pattern by the Burlington growth center. Growth predictions were carried out by ZeroBaseTM from ages 6,9,12,14,16 in males and 6,9,12 and 14 in females. The mean computer predicted value was compared with the mean radiographic value to test the accuracy of the predictions. Predictions from age 14 were the most accurate (within one standard deviation), whereas the predictions from age 6 were the least accurate. In males, the accuracy of cranial base predictions was 73.3%, maxilla was 66.7% and mandible was 97.3% to one standard deviation of the norm. In females, the accuracy was 70% for cranial base, 100% for maxilla and 92% for mandible to one standard deviation of the norm. The software program predicted growth in females more accurately than in males.</p> <p>Based on the accuracy of identifiable points, ZeroBase™ proved to be very accurate. However, due to difficulty in landmark identification in the radiographs, and due to missing radiographs, which resulted in a different sample sizes in the different age groups, it is not possible to make definite conclusions from the results obtained. Additional comparative studies using excellent records are recommended.</p>","abstract_has_math":false,"creators":["Nair, Anitha"],"institution":null,"degree_name":"Master of Science (MS)","degree_level":"Thesis","degree_discipline":"Orthodontics and Dentofacial Orthopedics","degree_department":null,"school":null,"contributors":["Joseph M. Caruso","Ivan Dus","Michael J. Fillman","V. Leroy Leggitt","R. David Rynearson"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2000,"date_issued":"2000-03-01T08:00:00Z","date_published":"2000-03-01T08:00:00Z","updated_at":"2026-07-24T02:53:37Z","subjects":["Orthodontics and Orthodontology","ZeroBase-tm (computer program); Burlington Growth Center (Toronto); Facial Bones -- growth and development."],"languages":["English"],"rights":["This title appears here courtesy of the author, who has granted Loma Linda University a limited, non-exclusive right to make this publication available to the public. The author retains all other copyrights."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarsrepository.llu.edu/etd/919","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Joseph M. Caruso","Ivan Dus","Michael J. Fillman","V. Leroy Leggitt","R. David Rynearson"]},{"key":"dc:creator","label":"Author","values":["Nair, Anitha"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Orthodontics and Dentofacial Orthopedics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MS)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Orthodontics and Orthodontology","ZeroBase-tm (computer program); Burlington Growth Center (Toronto); Facial Bones -- growth and development."]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]},{"key":"dc:rights","label":"Dc Rights","values":["This title appears here courtesy of the author, who has granted Loma Linda University a limited, non-exclusive right to make this publication available to the public. The author retains all other copyrights."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarsrepository.llu.edu/etd/919"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The accuracy of ZeroBase™ orthodontic software program was tested using a sample of 14 male and 14 female untreated subjects classified as skeletal Class II pattern by the Burlington growth center. Growth predictions were carried out by ZeroBaseTM from ages 6,9,12,14,16 in males and 6,9,12 and 14 in females. The mean computer predicted value was compared with the mean radiographic value to test the accuracy of the predictions. Predictions from age 14 were the most accurate (within one standard deviation), whereas the predictions from age 6 were the least accurate. In males, the accuracy of cranial base predictions was 73.3%, maxilla was 66.7% and mandible was 97.3% to one standard deviation of the norm. In females, the accuracy was 70% for cranial base, 100% for maxilla and 92% for mandible to one standard deviation of the norm. The software program predicted growth in females more accurately than in males.
Based on the accuracy of identifiable points, ZeroBase™ proved to be very accurate. However, due to difficulty in landmark identification in the radiographs, and due to missing radiographs, which resulted in a different sample sizes in the different age groups, it is not possible to make definite conclusions from the results obtained. Additional comparative studies using excellent records are recommended.
"]},{"key":"dc:title","label":"Title","values":["Accuracy of ZeroBase™ Growth Prediction of a Burlington Sample"]}]}],"canonical_facts":{"dc:contributor":["Joseph M. Caruso","Ivan Dus","Michael J. Fillman","V. Leroy Leggitt","R. David Rynearson"],"dc:creator":["Nair, Anitha"],"dc:description.abstract":["The accuracy of ZeroBase™ orthodontic software program was tested using a sample of 14 male and 14 female untreated subjects classified as skeletal Class II pattern by the Burlington growth center. Growth predictions were carried out by ZeroBaseTM from ages 6,9,12,14,16 in males and 6,9,12 and 14 in females. The mean computer predicted value was compared with the mean radiographic value to test the accuracy of the predictions. Predictions from age 14 were the most accurate (within one standard deviation), whereas the predictions from age 6 were the least accurate. In males, the accuracy of cranial base predictions was 73.3%, maxilla was 66.7% and mandible was 97.3% to one standard deviation of the norm. In females, the accuracy was 70% for cranial base, 100% for maxilla and 92% for mandible to one standard deviation of the norm. The software program predicted growth in females more accurately than in males.
Based on the accuracy of identifiable points, ZeroBase™ proved to be very accurate. However, due to difficulty in landmark identification in the radiographs, and due to missing radiographs, which resulted in a different sample sizes in the different age groups, it is not possible to make definite conclusions from the results obtained. Additional comparative studies using excellent records are recommended.
"],"dc:identifier":["https://scholarsrepository.llu.edu/etd/919"],"dc:language":["English"],"dc:rights":["This title appears here courtesy of the author, who has granted Loma Linda University a limited, non-exclusive right to make this publication available to the public. The author retains all other copyrights."],"dc:subject":["Orthodontics and Orthodontology","ZeroBase-tm (computer program); Burlington Growth Center (Toronto); Facial Bones -- growth and development."],"dc:title":["Accuracy of ZeroBase™ Growth Prediction of a Burlington Sample"],"thesis:degree_discipline":["Orthodontics and Dentofacial Orthopedics"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Master of Science (MS)"]},"updated_at":"2026-07-24T02:53:37Z"}