Preserving pulpal vitality is a major challenge when excavating deep caries lesions without severe symptomatology. Pulpal exposure alters success of the treatment (dropping from 93% for indirect pulp treatment with selective excavation to 11% for direct pulpotomy) and thus prognosis of dental organ and cost-effectiveness of the treatment. The preoperative x-ray is a complementary examination which allows to estimate the depth of the carious lesion. In clinical practice, it is currently difficult to accurately measure this depth on preoperative radiographs. This lack of precision leads to a decrease in the effective capacity of the operator to predict the risk of pulpal exposure. Their interpretation is considered imprecise and is not used as a diagnostic element. The aim of this study was to determine if the use of pre-operative retroalveolar radiographs can help to predict pulpal exposure risk.
Study Type
OBSERVATIONAL
Enrollment
358
Three hundred and sixty pre-operative radiographs of deep carious lesions and a "contrasted" version of the same set have been screened and annotated by 4 evaluators. Annotations were placed at the dentino-enamel junction, at the floor of the carious lesions, and on pulp chamber wall. From these annotations, the ratios residual dentin thickness/ total dentin thickness were derived. First, inter-evaluator agreement and concordance were assessed. A logistic regression that accounted for measurement error was applied to precisely estimate the capacity of the ratio to predict exposure (reported as odds-ratio).
Professeur des Universités- Praticien Hospitalier
Lyon, France
Measurement of residual dentin thickness and total dentin thickness on standard pre-operative radiographs
The radiographic assessment consisted in determining the depth of each carious lesion from the pre-operative radiographs and from their contrasted version. In this work, the depth of one carious lesion was measured by the ratio (expressed in percent): 100\*residual dentin thickness (RDT)/ Total dentin thickness (TDT). A logistic regression that accounted for measurement error was applied to precisely estimate the capacity of the ratio to predict exposure (reported as odds-ratio).
Time frame: Outcome measure was assessed trough study completion, an average of 1 year.
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