Title

A comparative study of gross anatomical variations in human cadaveric specimens

Authors

Amit Kumar Srivastava^1,*, Aishwarya Srivastava², Anshika Agarwal³, Jyoti Batra⁴ & Yogesh Yadav⁵

Affiliation

¹Department of Anatomy, Government Medical College, Datia, Madhya Pradesh, India; ²Department of Biochemistry, Naraina Medical College and Research Centre, Kanpur, Uttar Pradesh, India; ³Consultant, Gynecologist, Datia, Madhya Pradesh, India; ⁴Department of Central Research Facility, Santosh Deemed to be University, Ghaziabad, Uttar Pradesh, India; ⁵Department of Anatomy, Saraswathi Institute of Medical Sciences, Hapur, Uttar Pradesh, India; *Corresponding author

Email

Amit Kumar Srivastava - E-mail: amitsrivastava48@gmail.com
Aishwarya Srivastava - E-mail: aishwaryasrivastava720@gmail.com
Anshika Agarwal - E-mail: anshikaag06@gmail.com
Jyoti Batra - E-mail: drjyotibatra89@gmail.com
Yogesh Yadav - E-mail: dryogeshanatomy@gmail.com

Article Type

Research Article

Date

Received May 1, 2026; Revised May 31, 2026; Accepted May 31, 2026, Published May 31, 2026

Abstract

The prevalence and distribution of gross anatomical variations in human cadavers remain inadequately documented despite their clinical significance. Hence, this study examined 40 human cadavers over four years to identify and compare anatomical variations observed during routine dissection. Variations were assessed across major organ systems with emphasis on vascular branching patterns, muscular anomalies and nerve distributions. Approximately 35–40% of specimens showed at least one variation, most commonly involving vascular structures followed by muscles and nerves. Thus, we show anatomical variation patterns across systems, supporting improved surgical planning and reinforcing cadaveric dissection as essential for clinical training.

Keywords

Anatomical variation, cadaveric dissection, vascular pattern, muscular anomaly, nerve distribution, surgical anatomy

Citation

Srivastava et al. Bioinformation 22(5): 3082-3085 (2026)

Edited by

Vini Mehta

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.