Quantification of periodontal attachment at multi-rooted teeth.
The purpose of the present study was to estimate the lost attachment surface area (LAS) and the remaining attachment surface area (RAS) of molars from a combination of clinical and radiographic measurements. Clinical and radiographic measurements on 32 maxillary and 26 mandibular molars were correlated with the post-extraction measurements of LAS and RAS. The results indicate that linear models may increase the precision of the estimate of LAS by a factor of 1.2 for maxillary molars and 1.4 for mandibular molars when compared to estimates of LAS using only attachment level measurements. A diagnostic model for RAS predicts the square root of the remaining attachment surface area with the information obtained from the remaining radiographic attachment area and a gingivitis index. It is concluded that modeling of periodontal data may provide a method for predicting lost and remaining periodontal attachment area of molar teeth.
Hujoel
P P
PP
Department of Dental Public Health Sciences, University of Washington, Seattle 98115.
Bollen
A M
AM
DeRouen
T A
TA
D000328:Adult; D001641:Bicuspid / Q000000981:diagnostic imaging / Q000473:pathology*; D005891:Gingivitis / Q000000981:diagnostic imaging / Q000473:pathology; D006801:Humans; D008334:Mandible; D008437:Maxilla; D008963:Molar / Q000000981:diagnostic imaging / Q000473:pathology*; D010510:Periodontal Diseases / Q000000981:diagnostic imaging / Q000473:pathology; D010512:Periodontal Index; D010514:Periodontal Pocket / Q000000981:diagnostic imaging / Q000473:pathology*; D010519:Periodontium / Q000000981:diagnostic imaging / Q000473:pathology*; D011336:Probability; D011859:Radiography; D012044:Regression Analysis; D014092:Tooth Root / Q000000981:diagnostic imaging / Q000473:pathology