Title

Comparative evaluation of occlusal forces in altered and unaltered VDO using OccluSense

Authors

Metorilang Sohlang¹, Pavan Kumar Dubey¹*, Rajesh Bansal¹, Mahesh Khairnar² & Vinay Srivastava³

Affiliation

¹Department of Prosthodontics, Crown & Bridge and Oral Implantology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India; ²Department of Public Health Dentistry, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India; ³Department of Pediatric and Preventive Dentistry, Faculty of Dental Sciences, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India; *Corresponding author

Email

Metorilang Sohlang - E-mail: torisohlang@gmail.com
Pavan Kumar Dubey - E-mail: drpavan26@gmail.com
Rajesh Bansal - E-mail: rajeshbansal97@gmail.com
Mahesh Khairnar - E-mail: kmahesh222@gmail.com
Vinay Srivastava - E-mail: dr.vinaypedo@gmail.com

Article Type

Research Article

Date

Received November 15, 2025; Revised December 15, 2025; Accepted December 15, 2025, Published December 15, 2025

Abstract

Tooth wear alters occlusal forces and vertical dimension, making accurate assessment essential for effective full-mouth rehabilitation. Therefore, it is of interest to evaluate occlusal force distribution in 65 subjects aged 35–60 years using OccluSense, including controls and patients with attrition having altered or unaltered VDO. Statistical analysis with ANOVA and t-tests showed no overall significant intergroup differences, though Group 2 (attrition with altered VDO) demonstrated significantly higher forces in the right anterior region. Intragroup analysis also revealed significant forces in the right anterior and right first molar regions. Thus, digital occlusal analysis is valuable for precise diagnosis and treatment planning in full-mouth rehabilitation patients.

Keywords

Occlusal forces, vertical dimension, full mouth rehabilitation

Citation

Sohlang et al. Bioinformation 21(12): 4912-4916 (2025)

Edited by

Hiroj Bagde

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.