This study aims to evaluate the effect of prognostic factors, such as the severity of pulpal inflammation, carious pulp exposure, and the presence of apical periodontitis, on the success of full pulpotomy in mature permanent molars with irreversible pulpitis. It also aims to investigate the role of artificial intelligence-assisted diagnosis in predicting the prognosis of full pulpotomy.
* Patients with mature, permanent molars diagnosed with irreversible pulpitis will be enrolled in the study. * The pre-operative pulpal status will be assessed using the American Association of Endodontists (AAE) classification and Wolters classification. * Pre-operative digital radiographs will be taken, and radiographic caries depth will be assessed. * The presence of pre-operative apical periodontitis will be recorded. * An artificial intelligence software will process the pre-operative X-rays to assess the presence of carious pulp exposure and apical periodontitis. * The patients will be randomly allocated to receive either full pulpotomy or conventional root canal treatment. * The cases will be followed up for 1, 3, and 6 months to assess clinical and radiographic success. The accuracy of the AI software will be compared to the clinical findings of pulpal exposure after caries removal.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Enrollment
58
The patients will receive conventional root canal treatment, which is the gold standard treatment protocol in cases with irreversible pulpitis.
The patients will receive full pulpotomy as follows: -Under rubber dam isolation, the operator will perform caries removal, complete the access cavity preparation, achieve hemostasis in all canals, and apply the bioceramic material. The operator will seal the cavity with a glass ionomer restoration.
Misr International University (MIU)
Cairo, Egypt
RECRUITINGMisr International University
Cairo, Egypt
RECRUITINGPercentage of Successful Cases
* It will be measured as a percentage. * It will be decided according to the clinical and radiographic criteria of success and failure.
Time frame: After 1, 3, and 6 months.
Diagnostic Accuracy (Sensitivity and Specificity) of an artificial intelligence software in detecting carious pulp exposure
The artificial intelligence (AI) software will process pre-operative radiographs to predict the presence of carious pulp exposure. The AI findings will be compared to the clinical findings of carious pulp exposure after caries removal. (Clinical findings of carious pulp exposure will be used as the gold standard). -The outcome will be reported as sensitivity and specificity.
Time frame: On the day of the procedure
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