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Title

Clinical presentation and epidemiological patterns of breast lesions: Experience from a tertiary care hospital

 

Authors

Chakresh Jain1, Sarita Shah2 & Sarita Singh3,*

 

Affiliation

1Department of Community Medicine, Shyam Shah Medical College, Rewa, Madhya Pradesh, India; 2Department of Obstetrics and Gynecology, Government Medical College, Singrauli, Madhya Pradesh, India; 3Department of Obstetrics and Gynecology, Shyam Shah Medical College, Rewa, Madhya Pradesh, India; *Corresponding author

 

Email

Chakresh Jain - E-mail: drchakreshjain81@gmail.com; Phone: +91 9425330088

Sarita Shah - E-mail: sarita.shah0205@gmail.com; Phone: +91 8839953929

Sarita Singh - E-mail: drsarry1510@gmail.com; Phone: +91 7000683705

 

Article Type

Research Article

 

Date

Received June 1, 2026; Revised June 30, 2026; Accepted June 30, 2026, Published June 30, 2026

 

Abstract

Breast lesions constitute a wide spectrum of conditions ranging from benign disorders to malignancies, with varying clinical presentations influenced by demographic and epidemiological factors. Therefore, it is of interest to evaluate the clinical presentation and epidemiological patterns of breast lesions in patients attending a tertiary care hospital. Hence, a prospective observational study was conducted on patients presenting with breast complaints, including detailed clinical evaluation, radiological assessment and histopathological confirmation. The majority of patients presented with breast lumps, with benign lesions being more common in younger age groups and malignant lesions predominating in older patients, showing significant associations with age and symptom duration. Thus, understanding these patterns aids in early diagnosis for appropriate management and improved patient outcomes, especially in resource-limited healthcare settings.

 

Keywords

Breast lesions, epidemiology, breast lump, benign breast disease, breast cancer, tertiary care

 

Citation

Jain et al. Bioinformation 22(6): 3465-3468 (2026)

 

Edited by

Ruby Singh

 

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.