Age estimation using pulp-to-tooth area ratio in maxillary anterior teeth: A study on a Kerala population using Cameriere’s method

PTAR-based regression models are effective for age estimation in the Kerala population, with the canine providing the most reliable estimates.

Authors

Institutions

Publication Details

Journal
Journal of Oral and Maxillofacial Pathology
Published
2025-10-01
DOI
https://doi.org/10.4103/jomfp.jomfp_181_25
Primary Topic
Forensic Anthropology and Bioarchaeology Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Age estimation using pulp-to-tooth area ratio in maxillary anterior teeth: A study on a Kerala population using Cameriere’s method

Sudeendra Prabhu, Bastian Thattil Sebastian, Roshin Chandri Narayanan, Nikhil Raj et al.
Journal of Oral and Maxillofacial Pathology
Forensic Anthropology and Bioarchaeology Studies
article

Age estimation using pulp-to-tooth area ratio in maxillary anterior teeth: A study on a Kerala population using Cameriere’s method

Sudeendra Prabhu, Bastian Thattil Sebastian, Roshin Chandri Narayanan, Nikhil Raj, Manickam Selvamani, Suhana Hameed Sulaikha
article en

Abstract

PTAR-based regression models are effective for age estimation in the Kerala population, with the canine providing the most reliable estimates.

Journal of Oral and Maxillofacial PathologyVol. 29(4)
Yenepoya University (IN), Mahle (Austria) (AT), Kamineni Institute of Dental Sciences (IN)
Openalex Percentile: Top 22%
Forensic Anthropology and Bioarchaeology Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.