Abstract:
Objective To develop a method of preparing an isolated tooth in the artificial head model under the treatment of root canal therapy with microscopic and dental dam for teaching purpose.
Methods The extracted permanent teeth were put into the alveolar of cavity block of the artificial head model. A thickness of 1.5 mm resin material was placed around the proximal and distal cervical of the tooth. The super hard plaster was then filled into cavity block and covered with a certain pressure for 20 min. After removing the resin material, the condensed gypsum was put into artificial head model. A questionnaire was issued to 22 students who were trained in microscopic root canal therapy in the Department of Endodontics, Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, class 2020. The questionnaire contained the teaching arrangements, laboratory teaching equipment, teaching effects, suggestions, etc., and the percentage of the results of each question were collected by suitable statistical methods.
Results The isolated dental mold can be used in artificial head model directly with a mesio-distal gap to place the dental dam. All operational processes could simulate the clinical procedures of microscopic root canal therapy with dental dam. A total of 22 questionnaires were distributed and returned. All of the respondents believed that they could benefit from simulating a rubber dam in the artificial head model. 95.5% of the students hoped that we could further improve and add more teaching equipments for root canal therapy based on the results.
Conclusions This study successfully designed a suitable artificial head model with isolated tooth, which was helpful for microscopic root canal therapy with dental dam with teaching purpose.
Key words:
Root canal therapy, microscopic,
Laboratories, dental,
Dental models,
Rubber dam
Min Guo, Sui Mai, Jiarui Lu, Xi Wei. Preparation and application of teaching mold for microscopic root canal therapy with dental dam[J]. Chinese Journal of Stomatological Research(Electronic Edition), 2021, 15(04): 241-244.