Sarcoidosis is a multisystem disease of unknown cause. Sarcoidosis can affect all individuals with any race, sex, or age but commonly affects young- and middle-aged adults and usually presents with bilateral hilar lymphadenopathy, pulmonary infiltration, skin and ocular lesions. Other organs can also be affected. Diagnosis is established when clinical and radiological findings are supported by the presence of non-caseating epithelioid cell granulomas, however, local sarcoid reactions and granulomas of known cause should be excluded. The optimal management has not been well defined yet, although corticosteroids remain the mainstay of treatment, there is little evidence on which to base the indications for treatment including dosage and duration of therapy. Certain clinical features are helpful in the prognosis of the condition that can vary from a self-limiting course to progressive life-threatening fibrosis of the vital organs.

BackgroundTo assess the accuracy of digital models generated using commercially available software to predict anterior teeth root inclination characteristics and compare the results to relevant data obtained from CBCT images.Material and MethodsFollowing sample size calculation and after application of inclusion and exclusion criteria, pre-treatment maxillary and mandibular plaster models and the corresponding CBCT scans of 31 patients attending a private orthodontic clinic were selected. The subjects were 10 males and 21 females with age range 12 to 40 years. Plaster models were scanned using the high resolution mode of an Ortho Insight 3D scanner and CBCT scans were taken using a Kodak 9500 Cone Beam 3D System machine. The teeth on the digital scans were segmented and virtual roots were predicted and constructed by the Ortho Insight 3D software. The long axes of the predicted roots and the actual roots, as segmented from the CBCT images, were computed using best-fit lines. The inter-axis angle was used to assess error in root inclination prediction by the software. Mann-Whitney and Kruskal-Wallis tests were used. Intra-examiner error was evaluated using the Bland-Altman method.ResultsThe maximum disparity in angle between images derived from digital models and CBCT data was almost 40 degrees (upper left canine). The upper and lower canines produced the worst results, followed by the lower lateral incisors. The upper central incisors showed the best results, although the maximum angle of difference exceeded 20 degrees (with the median around 8 degrees).ConclusionsRoot morphology imaging prediction is not a primary function of this software and this study confirmed its limitation as a sole tool in routine clinical applications. At present these predictions cannot be considered accurate or reliable unless correlated clinically with a radiographic image. Key words:Digital models, CBCT, tooth root inclination prediction software.

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