Evidence map›Paper›PMID 42530761›Full record

ArticleOral radiology2026

Application of a novel age estimation model based on permanent maxillary canine morphometric features in a Japanese population.

Beshlina Fitri Widayanti Roosyanto Prakoeswa, Hideyoshi Nishiyama, Taichi Kobayashi, Makiko Ike, Masaki Takamura, Yutaka Nikkuni, Kouji Katsura, Diem T Vo, Takafumi Hayashi

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Article in Oral radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Beshlina Fitri Widayanti Roosyanto PrakoeswaDivision of Oral and Maxillofacial Radiology, Faculty of Dentistry & Graduate School of Medical and Dental Sciences, Dentistry and Health Sciences, Niigata University, 2-5274 Gakkocho-dori, Chuo- ku, Niigata, 951-8514, Japan.
Hideyoshi NishiyamaDivision of Oral and Maxillofacial Radiology, Faculty of Dentistry & Graduate School of Medical and Dental Sciences, Dentistry and Health Sciences, Niigata University, 2-5274 Gakkocho-dori, Chuo- ku, Niigata, 951-8514, Japan. nisiyama@dent.niigata-u.ac.jp.
Taichi KobayashiDivision of Oral and Maxillofacial Radiology, Faculty of Dentistry & Graduate School of Medical and Dental Sciences, Dentistry and Health Sciences, Niigata University, 2-5274 Gakkocho-dori, Chuo- ku, Niigata, 951-8514, Japan.
Makiko IkeDivision of Oral and Maxillofacial Radiology, Faculty of Dentistry & Graduate School of Medical and Dental Sciences, Dentistry and Health Sciences, Niigata University, 2-5274 Gakkocho-dori, Chuo- ku, Niigata, 951-8514, Japan.
Masaki TakamuraDivision of Oral and Maxillofacial Radiology, Faculty of Dentistry & Graduate School of Medical and Dental Sciences, Dentistry and Health Sciences, Niigata University, 2-5274 Gakkocho-dori, Chuo- ku, Niigata, 951-8514, Japan.
Yutaka NikkuniDivision of Oral and Maxillofacial Radiology, Faculty of Dentistry & Graduate School of Medical and Dental Sciences, Dentistry and Health Sciences, Niigata University, 2-5274 Gakkocho-dori, Chuo- ku, Niigata, 951-8514, Japan.
Kouji KatsuraDivision of Oral and Maxillofacial Radiology, Faculty of Dentistry & Graduate School of Medical and Dental Sciences, Dentistry and Health Sciences, Niigata University, 2-5274 Gakkocho-dori, Chuo- ku, Niigata, 951-8514, Japan.
Diem T VoDivision of Oral and Maxillofacial Radiology, Faculty of Dentistry & Graduate School of Medical and Dental Sciences, Dentistry and Health Sciences, Niigata University, 2-5274 Gakkocho-dori, Chuo- ku, Niigata, 951-8514, Japan.
Takafumi HayashiDivision of Oral and Maxillofacial Radiology, Faculty of Dentistry & Graduate School of Medical and Dental Sciences, Dentistry and Health Sciences, Niigata University, 2-5274 Gakkocho-dori, Chuo- ku, Niigata, 951-8514, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to clarify the growth curves of the long axis and apical foramen diameter of permanent maxillary canines (PMCs), and to create and evaluate a new nonlinear age estimation (NAGE) model by integrating their inverse functions within a machine learning framework.

methodsCT measurements of length (L), apical shortest width (SW) and longest width (LW) were obtained from 726 PMCs (aged 1 to 23 years). Growth curves were modeled using Gompertz function for L and Gamma-type function for SW and LW. Inverse functions were integrated into the NAGE model: [Formula: see text]. Parameters were optimized using Soft-L1 robust least squares (SciPy, NumFOCUS, USA). Validation applied to 14 independent longitudinal cases (75 PMCs, 3-15 years). Agreement between predicted age (PA) and chronological age (CA) was evaluated using root mean squared error (RMSE), coefficient of determination (R

resultsThe Gompertz and Gamma-type functions effectively captured PMC growth, with RMSE of 2.5 mm (L), 1.07 mm (SW), and 1.45 mm (LW). The NAGE achieved RMSE of 1.89 years (R

conclusionsThe proposed NAGE model showed promising performance for dental age estimation based on PMC length and apical foramen widths. Further studies in other teeth are needed.

Indexed as

Age Determination by TeethCuspidAdolescentChildChild, PreschoolEast Asian PeopleFemaleHumansInfantJapanMachine LearningMaleMaxillaTomography, X-Ray ComputedYoung AdultAge determination by teethComputed tomographyMachine learningMaxillary canineMorphometry

Identifiers

PMID42530761

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.