Comparative evaluation of three different regression-equation-based mixed dentition analysis of children for prediction of the mesiodistal width of permanent canine and premolars.


Journal

Minerva pediatrics
ISSN: 2724-5780
Titre abrégé: Minerva Pediatr (Torino)
Pays: Italy
ID NLM: 101777303

Informations de publication

Date de publication:
10 Nov 2023
Historique:
medline: 10 11 2023
pubmed: 10 11 2023
entrez: 10 11 2023
Statut: aheadofprint

Résumé

Dental malocclusion is common all over the world, and it is caused by a difference in arch length and tooth size. This necessitates mixed dentition analysis for early intervention treatment planning such as eruption guiding, serial extraction, space maintainer, space regainer, and jaw extension. The aim of the study is to comparatively evaluate three different regression equation based mixed dentition analysis of children for prediction of the mesiodistal width of permanent canine and premolars in population of Vidarbha region. This study comprised of 300 patients aged 13 to 16 years old. The impressions of patients were poured, and the mesiodistal width of their teeth was measured and documented. Three independent analyses were performed using the Ling and Wong method (L&W), the Bernabe and Flores-Mir method (B&F), and the Tanaka and Johnston method (T&J), and the results were compared to the sum of permanent canine and premolar teeth (SPCP). ANOVA with post hoc analysis was used to compare the predicted mesiodistal diameter (MDD) by analysis to the SPCP observed on cast. The mesiodistal width of SPCP of maxilla and mandibular teeth had statistically significant difference (P<0.001) with the predicted width by Ling and Wong method, Bernabe and Flores method and Tanaka and Johnston method for patients of Vidarbha region. The study concluded that all the three analysis overestimated the mesiodistal width of the sum of permanent canine and premolar in the patients. Tananka and Johnston analysis method was better in predicting the SPCP of the children of Vidarbha region.

Sections du résumé

BACKGROUND BACKGROUND
Dental malocclusion is common all over the world, and it is caused by a difference in arch length and tooth size. This necessitates mixed dentition analysis for early intervention treatment planning such as eruption guiding, serial extraction, space maintainer, space regainer, and jaw extension. The aim of the study is to comparatively evaluate three different regression equation based mixed dentition analysis of children for prediction of the mesiodistal width of permanent canine and premolars in population of Vidarbha region.
METHODS METHODS
This study comprised of 300 patients aged 13 to 16 years old. The impressions of patients were poured, and the mesiodistal width of their teeth was measured and documented. Three independent analyses were performed using the Ling and Wong method (L&W), the Bernabe and Flores-Mir method (B&F), and the Tanaka and Johnston method (T&J), and the results were compared to the sum of permanent canine and premolar teeth (SPCP). ANOVA with post hoc analysis was used to compare the predicted mesiodistal diameter (MDD) by analysis to the SPCP observed on cast.
RESULTS RESULTS
The mesiodistal width of SPCP of maxilla and mandibular teeth had statistically significant difference (P<0.001) with the predicted width by Ling and Wong method, Bernabe and Flores method and Tanaka and Johnston method for patients of Vidarbha region.
CONCLUSIONS CONCLUSIONS
The study concluded that all the three analysis overestimated the mesiodistal width of the sum of permanent canine and premolar in the patients. Tananka and Johnston analysis method was better in predicting the SPCP of the children of Vidarbha region.

Identifiants

pubmed: 37947775
pii: S2724-5276.23.07344-5
doi: 10.23736/S2724-5276.23.07344-5
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Nilesh Rathi (N)

Department of Pediatric and Preventive Dentistry, Dr. D.Y. Patil Dental College and Hospital, Pimpri, India.

Nilima Thosar (N)

Department of Pediatric and Preventive Dentistry, Sharad Pawar Dental College, Datta Meghe Institute of Medical Sciences, Wardha, India.

Vasudevan Sd (V)

Department of Orthodontics, KIMS Dental College, Chaitanya Health City, Amalapuram, India.

Visha S Pandya (VS)

Department of Public Health Dentistry, Vaidik Dental College and Research Centre, Kadaiya, India.

Vinay Kulkarni (V)

Department of Pediatric and Preventive Dentistry, SMBT Dental College and Hospital, Sangamner, India.

Raju Patil (R)

Department of Pediatric and Preventive Dentistry, Sinhagad Dental College and Hospital, Pune, India.

Vini Mehta (V)

Department of Public Health Dentistry, Dr. D.Y. Patil Dental College and Hospital, Pimpri, India - vini.mehta@statsense.in.
STAT SENSE, Adalaj, India.

Ankita Mathur (A)

STAT SENSE, Adalaj, India.

Marco Cicciù (M)

Department of Biomedical and Surgical Sciences, University of Catania, Catania, Italy.

Giuseppe Minervini (G)

Multidisciplinary Department of Medical-Surgical and Dental Specialties, University of Campania Luigi Vanvitelli, Naples, Italy.

Classifications MeSH