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CATEGORY: ORIGINAL RESEARCH
Year : 2020  |  Volume : 20  |  Issue : 5  |  Page : 13

Complete denture processing errors – A proposed classification system and its incidence in Preclinical Prosthodontics training of second year undergraduate dental students


P.M.N.M. Dental College & Hospital, Bagalkot, India

Date of Web Publication8-Jan-2021

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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0972-4052.306334

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How to cite this article:
Achanur M. Complete denture processing errors – A proposed classification system and its incidence in Preclinical Prosthodontics training of second year undergraduate dental students. J Indian Prosthodont Soc 2020;20, Suppl S1:13

How to cite this URL:
Achanur M. Complete denture processing errors – A proposed classification system and its incidence in Preclinical Prosthodontics training of second year undergraduate dental students. J Indian Prosthodont Soc [serial online] 2020 [cited 2021 Jan 21];20, Suppl S1:13. Available from: https://www.j-ips.org/text.asp?2020/20/5/13/306334



Introduction: The complete denture processing error may ruin the efforts of a dentist, student or the technician. The aim of the present study was to propose and evaluate a new classification system for complete denture processing error and to access its incidence in the complete denture processed by the 2nd year undergraduate students of PMNM dental college and hospital Bagalkot.

Methodology: 100 second year Pre-clinical prosthetics undergraduate dental students with their approved teeth arrangement ready for processing were included in the study. Each step of the processing was observed and assessment of processing error was done.

Result: In the present study Out of 200 unites of dentures (100 maxillary and 100 mandibular), stage 1 processing errors were most common in mandibular dentures (10% in mandibular and 3% in maxillary cast), stage 2 processing errors were most common in maxillary denture (15% in maxillary 12% in mandibular), stage 3 processing errors were most common in mandibular denture (12% in mandibular and 8% in maxillary).

Conclusion: This study encourages further laboratory studies for validation and reliability evaluation of proposed new classification system and its incidence in clinical practice.






 

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