The feasibility of using computer-based models for reducing the risks of complications associated with temporary dentures

Bagryantseva NV1,2, Gazhva SI1, Baranov AA2, Shubin LB2, Bagryantsev VA2, Bagryantseva OV2
About authors

1 Privolzhsky Research Medical University, Nizhny Novgorod, Russia

2 Yaroslavl State Medical University, Yaroslavl, Russia

Correspondence should be addressed: Natalia V. Bagryantseva
March 8, d. 1, kor. 2, kv. 71, Yaroslavl, 150002; ur.liam@avecnayrgobn

About paper

Author contribution: Bagryantseva NV — study design, data acquisition, analysis and interpretation, manuscript editing; Gazhva SI — study planning and manuscript editing; Baranov AA — manuscript editing; Shubin LB — data analysis and interpretation; Bagryantsev VA, Bagryantseva OV — data acquisition and preparing the manuscript draft.

Received: 2019-07-25 Accepted: 2019-08-09 Published online: 2019-08-17

Contemporary prosthetic dentistry has a vast arsenal of solutions for completely edentulous patients. However, it is crucial to consider a variety of factors that can cause complications in patients wearing temporary dentures in the osseointegration period. The aim of this study was to retrospectively analyze the medical records of completely edentulous patients wearing temporary removable or fixed dentures in the osseointegration period, to identify the risk factors for complications and to calculate the odds of adverse events. We performed a multivariate analysis and developed a computerized algorithm that could be used to facilitate selection of the proper denture type and material. The algorithm demonstrates high sensitivity and specificity: 94.37 (76.2 : 98.7) and 92.56 (79.8 : 97.6), respectively; the AUC value is 0.921 (0.843 : 0.963). We are planning to develop a software based on the proposed algorithm that would help the dentist to make a more objective decision when selecting the type of temporary denture and its material.

Keywords: dental implants, osseointegration, temporary prosthesis, risks, odds, computer-based model