Chronological Closure Patterns of Cranial Sutures in a Gujarati Population: A Forensic Age Estimation Study

Age estimation is a critical aspect of forensic identification, particularly in adults, where traditional skeletal markers become less reliable. Cranial suture closure, though controversial, remains a valuable parameter, especially when population-specific standards are applied. This study aimed to assess the correlation between cranial suture closure and chronological age in the Gujarati population. A descriptive cross-sectional study was conducted on 100 medicolegal autopsy cases (50 males, 50 females) aged 13–78 years. Suture closure was assessed using the Acsadi-Nemeskeri scoring system across 16 defined cranial segments. Both endocranial and ectocranial surfaces were examined. In this study, Sagittal sutures closed earliest (30s), followed by coronal (40s), and lambdoid (50+), with near-complete fusion by 60 years. Endocranial closure demonstrated slightly higher accuracy (85%, MAE ± 4.2 years) compared to ectocranial (81%, MAE ± 4.8 years). Correlation with age was strongest for endocranial sagittal sutures (r = 0.946). No significant gender differences were observed. The findings indicate cranial suture closure, particularly endocranial sagittal fusion, is a reliable, gender-independent method for age estimation in the Gujarati population. It is most accurate in individuals aged 30–60 years and should be incorporated into forensic protocols alongside other age indicators.

Authors

Institutions

Publication Details

Journal
Journal of Indian Academy of Forensic Medicine
Published
2026-02-03
DOI
https://doi.org/10.1177/09710973251411611
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

Chronological Closure Patterns of Cranial Sutures in a Gujarati Population: A Forensic Age Estimation Study

Hardik Prajapati, Punit Patel, Misbah Mohammad Arif Qureshi, Sameerkhan Firozkhan Pathan
Journal of Indian Academy of Forensic Medicine
Forensic Anthropology and Bioarchaeology Studies
article

Chronological Closure Patterns of Cranial Sutures in a Gujarati Population: A Forensic Age Estimation Study

Hardik Prajapati, Punit Patel, Misbah Mohammad Arif Qureshi, Sameerkhan Firozkhan Pathan
article en

Abstract

Age estimation is a critical aspect of forensic identification, particularly in adults, where traditional skeletal markers become less reliable. Cranial suture closure, though controversial, remains a valuable parameter, especially when population-specific standards are applied. This study aimed to assess the correlation between cranial suture closure and chronological age in the Gujarati population. A descriptive cross-sectional study was conducted on 100 medicolegal autopsy cases (50 males, 50 females) aged 13–78 years. Suture closure was assessed using the Acsadi-Nemeskeri scoring system across 16 defined cranial segments. Both endocranial and ectocranial surfaces were examined. In this study, Sagittal sutures closed earliest (30s), followed by coronal (40s), and lambdoid (50+), with near-complete fusion by 60 years. Endocranial closure demonstrated slightly higher accuracy (85%, MAE ± 4.2 years) compared to ectocranial (81%, MAE ± 4.8 years). Correlation with age was strongest for endocranial sagittal sutures (r = 0.946). No significant gender differences were observed. The findings indicate cranial suture closure, particularly endocranial sagittal fusion, is a reliable, gender-independent method for age estimation in the Gujarati population. It is most accurate in individuals aged 30–60 years and should be incorporated into forensic protocols alongside other age indicators.

Journal of Indian Academy of Forensic MedicineVol. 48(1)
National Forensic Sciences University (IN), Smt. N.H.L. Municipal Medical College (IN), B.J. Medical College (IN)
Gender equality
Openalex Percentile: Top 68%
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.