Evidence map›Paper›PMID 39429438›Full record

ArticleClinical, cosmetic and investigational dentistry2024

Magnetic Resonance Images for the Prediction of Chronological Age Using Maxillary Third Molar Teeth: An Observational Study.

Komal Smriti, Murali Venkata Rama Mohan Kodali, Mathangi Kumar, Anoushka Saraf, Medhini Madi, Kalyana Chakravarthy Pentapati, Prakashini K, Yogesh Chhaparwal, Unati Sai Kodali, Srikanth Gadicherla

Abstract read
In one paragraph

Article in Clinical, cosmetic and investigational dentistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Komal Smriti *Department of Oral Medicine & Radiology, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Murali Venkata Rama Mohan KodaliDepartment of Oral and Maxillofacial surgery, College of Dentistry, King Faisal University, Al Hofuf, Eastern Province-Al Ahsa, 31982, Kingdom of Saudi Arabia.ORCID 0000-0003-1200-3906
Mathangi Kumar *Department of Oral Medicine & Radiology, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.ORCID 0009-0000-7507-2832
Anoushka SarafDepartment of Oral Medicine & Radiology, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Medhini MadiDepartment of Oral Medicine & Radiology, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Kalyana Chakravarthy PentapatiDepartment of Public Health Dentistry, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, 576104 India.ORCID 0000-0002-5462-5677
Prakashini KDepartment of Radio Diagnosis, Kasturba Medical College & Hospital, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Yogesh ChhaparwalDepartment of Oral Medicine & Radiology, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.ORCID 0000-0003-0182-3183
Unati Sai KodaliDr Pinnamaneni Siddhartha Institute of Medical Sciences & Research Foundation, Dr. NTR University of Health Sciences, Vijayawada, India.
Srikanth GadicherlaDepartment of Oral & Maxillofacial Surgery, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dental age estimation using third molars is a reliable method for estimating the age of individuals. Recently, magnetic resonance imaging (MRI) of the head and neck has been found to be applicable for age estimation of third molar teeth. In the present study, we aimed to apply the Modified Demirjian method of age estimation to magnetic resonance (MR) image sections for dental age estimation by determining the mineralization patterns of the maxillary third molars. Methods: MRI scans of the patients were performed using SIGNA™ 3.0Tesla MRI GE Healthcare (Chicago, USA) with a moving, multifunctional coil. Two expert radiologists with more than three years of experience independently analyzed the image sections using the open-source Digital Imaging and Communications in Medicine (DICOM) viewer software. The age and sex of the patients whose images were included in the study were recorded using a specially designed proforma. The stage of development of the maxillary third molars was determined using the modified Demirjian method. Inter observer agreement was calculated using the intra class correlation coefficient. Simple linear regression analysis was used to predict the actual age at the third molar development stage. Results: There was excellent agreement between observers (ICC =0.99 (95% CI = 0.98-0.99)). There was also a significant association between the maxillary third molar tooth development stage and chronological age of the individual (P=0.001; B=1.54; 95% CI = 0.71-2.37). Discussion: The findings from the present study establish that the Modified Demirjian method can also be reliably applied for dental age assessment in MR sections.

Indexed as

age estimation by teethforensic scienceodontogenesisthird molars

Identifiers

PMID39429438
PMCPMC11490233

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.