ISSN 0303-5212
 
2025, Vol: 50, Issue: 4
50 / 4Current Issue Online FirstArchiveAims and ScopeAbstracting & IndexingMost Accessed ArticlesMost Downloaded ArticlesMost Cited Articles
Required files to be uploaded

Author_Certificate
Bank Reciept

Original Research 
RMJ. 2025; 50(3): 581-593


Age at death estimation using Iscan's method: A cross-sectional study in Pakistani male population

Kanwal Zahra, Maryam Shahid, Nida Zahra, Arif Rasheed Malik.


Abstract
Objectives: To estimate age at death in Pakistani males using Iscan's method.
Methodology: This observational cross-sectional study was conducted at the Forensic Medicine and Toxicology Department, KEMU Lahore and involved 85 male corpses. The right rib near the costal cartilage was extracted, and the sternal end was analyzed using Iscan's nine-phase classification method. Data were analyzed using SPSS-21.
Results: The study population's mean age was 43.39±22.21 years. A strong correlation was found between pit depth and age (r = 0.940, p<0.001). The highest F ratio was observed for bone quality, indicating its significant association with age. Morphological changes in the articular surface, rim configuration, and bone type were also significantly correlated with age.
Conclusion: Iscan's method is reliable for age estimation, particularly in forensic anthropology. While effective within certain age ranges, a multivariable approach is recommended for more precise results. The method's applicability across diverse populations underscores its value in forensic investigations.

Key words: Iscan Phase Method, medial end of rib, age estimation, costal cartilage.


 
ARTICLE TOOLS
Abstract
PDF Fulltext
How to cite this articleHow to cite this article
Citation Tools
Related Records
 Articles by Kanwal Zahra
Articles by Maryam Shahid
Articles by Nida Zahra
Articles by Arif Rasheed Malik
on Google
on Google Scholar

How to Cite this Article
Pubmed Style

Zahra K, Shahid M, Zahra N, Malik AR. Age at death estimation using Iscan's method: A cross-sectional study in Pakistani male population. RMJ. 2025; 50(3): 581-593.

Web Style

Zahra K, Shahid M, Zahra N, Malik AR. Age at death estimation using Iscan's method: A cross-sectional study in Pakistani male population. https://www.rmj.org.pk/?mno=227584 [Access: October 29, 2025].

AMA (American Medical Association) Style

Zahra K, Shahid M, Zahra N, Malik AR. Age at death estimation using Iscan's method: A cross-sectional study in Pakistani male population. RMJ. 2025; 50(3): 581-593.


Vancouver/ICMJE Style

Zahra K, Shahid M, Zahra N, Malik AR. Age at death estimation using Iscan's method: A cross-sectional study in Pakistani male population. RMJ. (2025), [cited October 29, 2025]; 50(3): 581-593.


Harvard Style

Zahra, K., Shahid, . M., Zahra, . N. & Malik, . A. R. (2025) Age at death estimation using Iscan's method: A cross-sectional study in Pakistani male population. RMJ, 50 (3), 581-593.


Turabian Style

Zahra, Kanwal, Maryam Shahid, Nida Zahra, and Arif Rasheed Malik. 2025. Age at death estimation using Iscan's method: A cross-sectional study in Pakistani male population. Rawal Medical Journal, 50 (3), 581-593.


Chicago Style

Zahra, Kanwal, Maryam Shahid, Nida Zahra, and Arif Rasheed Malik. "Age at death estimation using Iscan's method: A cross-sectional study in Pakistani male population." Rawal Medical Journal 50 (2025), 581-593.


MLA (The Modern Language Association) Style

Zahra, Kanwal, Maryam Shahid, Nida Zahra, and Arif Rasheed Malik. "Age at death estimation using Iscan's method: A cross-sectional study in Pakistani male population." Rawal Medical Journal 50.3 (2025), 581-593. Print.


APA (American Psychological Association) Style

Zahra, K., Shahid, . M., Zahra, . N. & Malik, . A. R. (2025) Age at death estimation using Iscan's method: A cross-sectional study in Pakistani male population. Rawal Medical Journal, 50 (3), 581-593.


Author LoginReviewer LoginEditorial PoliciesConflict of Interest PolicyPlagiarism PolicyAdvertising Policy

About Rawal Medical Journal

Publication, subscription and Editorial office PMA House G/220-B Liaquat Road, Rawalpindi. Phone: 051-555-9812, Fax: 051-553-7088 Email: drnkhokhar@ya ... Read more.



For best results, please use Internet Explorer or Google Chrome.

Contact Information