Sexual Dimorphism in Clivus Morphometry: A Multi-Detector Computed Tomography Study

Objectives One of the most challenging tasks in forensic science is identifying a person from the fragments of an incomplete skeleton. Different landmarks in the human skeleton have been established to create the profile of an individual and only a few morphometric studies have been conducted to assess the clivus bone. This study utilized reconstructed computed tomographic (CT) images of the cranium to assess the dimension of the clivus bone and estimate its significance for sexual dimorphism. Material and Methods A total of 125 patients were included in the study and the dimension of the clivus bone was assessed using the Digital Imaging and Communications in Medicine (DICOM)Viewer. Results In the Gujarat population, the average clivus bone measured 4.09±0.577 cm in length and 2.69±0.617 cm in width. A significant difference in the clivus length was found, with a p-value <0.001. The overall cut-off value for sex prediction was 0.211, with a classification accuracy of 90.3% for males and 96.8% for females. Conclusion This study concludes that reconstructed CT images can be used for accurate anatomical morphometry and the length of the clivus bone can be used to identify the sex of an individual when other methods are indecisive.

Authors

Institutions

Publication Details

Journal
Journal of Health and Allied Sciences NU
Published
2025-03-28
DOI
https://doi.org/10.25259/jhs-2024-6-24-r2-(1443)
Primary Topic
Bone Tumor Diagnosis and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sexual Dimorphism in Clivus Morphometry: A Multi-Detector Computed Tomography Study

Manna Debnath, Santosh Ojha
Journal of Health and Allied Sciences NU
Bone Tumor Diagnosis and Treatments
article

Sexual Dimorphism in Clivus Morphometry: A Multi-Detector Computed Tomography Study

Manna Debnath, Santosh Ojha
article en

Abstract

Objectives One of the most challenging tasks in forensic science is identifying a person from the fragments of an incomplete skeleton. Different landmarks in the human skeleton have been established to create the profile of an individual and only a few morphometric studies have been conducted to assess the clivus bone. This study utilized reconstructed computed tomographic (CT) images of the cranium to assess the dimension of the clivus bone and estimate its significance for sexual dimorphism. Material and Methods A total of 125 patients were included in the study and the dimension of the clivus bone was assessed using the Digital Imaging and Communications in Medicine (DICOM)Viewer. Results In the Gujarat population, the average clivus bone measured 4.09±0.577 cm in length and 2.69±0.617 cm in width. A significant difference in the clivus length was found, with a p-value <0.001. The overall cut-off value for sex prediction was 0.211, with a classification accuracy of 90.3% for males and 96.8% for females. Conclusion This study concludes that reconstructed CT images can be used for accurate anatomical morphometry and the length of the clivus bone can be used to identify the sex of an individual when other methods are indecisive.

Journal of Health and Allied Sciences NUVol. 15
Charotar University of Science and Technology (IN), Environmental and Occupational Health Sciences Institute (US)
Openalex Percentile: Top 79%
Bone Tumor Diagnosis and Treatments
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.

Sexual Dimorphism in Clivus Morphometry: A Multi-Detector Computed Tomography Study — Manna Debnath, Santosh Ojha · Journal of Health and Allied Sciences NU (2025) | TGRS Research Map | TGRS