Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/40536
Title: Availability of Third Molars as Donor Teeth for Autotransplantation to Replace Congenitally Absent Second Premolars in Children and Young Adults
Authors: Bilinska, Malgorzata
BURZYKOWSKI, Tomasz 
Plakwicz, Pawel
Zadurska, Malgorzata
Czochrowska, Ewa Monika
Issue Date: 2023
Publisher: MDPI
Source: Diagnostics, 13 (11) (Art N° 1874)
Abstract: The aim of the study was to assess the presence and distribution of third molars (M3) regarding their autotransplantation in patients with congenital absence of second premolars (PM2). Additionally, M3 development in relation to patients' age and gender was investigated. Panoramic radiographs of non-syndromic patients with at least one congenitally absent PM2 were used to assess the localization and number of missing PM2 and the presence or absence of M3 (minimum age 10 years). The alternate logistic regression model was applied to analyze associations between the presence of PM2 and M3. A total of 131 patients with PM2 agenesis were identified (82 females, 49 males). At least one M3 was present in 75.6% and all M3 were present in 42.7% of patients. A statistically significant association between the number of PM2 and M3 agenesis was found; the effects of age and gender were not significant. More than half of M3 in patients between 14-17 years old had completed 1/4 of their root development. The congenital absence of maxillary PM2 was associated with the absence of maxillary PM2, M3, and no correlation was found in the mandible. In patients with PM2 agenesis, at least one M3 is often present and can be considered as a donor tooth for autotransplantation.
Notes: Czochrowska, EM (corresponding author), Med Univ Warsaw, Dept Orthodont, PL-02097 Warsaw, Poland.
m.b.bilinska@gmail.com; malgorzata.zadurska@wum.edu.pl;
ewa.czochrowska@wum.edu.pl
Keywords: agenesis;autotransplantation;hypodontia;second premolars;third molars
Document URI: http://hdl.handle.net/1942/40536
e-ISSN: 2075-4418
DOI: 10.3390/diagnostics13111874
ISI #: 001005016000001
Rights: 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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