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Updated: Jan 6, 2026

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Published on: October 16, 2010
Histomorphological Changes in Breast Lesions: A Retrospective Observational Study.
Pushpak Chaudhari1, Shanu Srivastav2, Shilpa Gupta3
1General Surgery, King's College Hospital NHS Foundation Trust, London, GBR.
This study analyzed breast lesion patterns, finding most were benign, with fibroadenoma being most common. Invasive breast cancer was the most frequent malignant lesion, highlighting the need for accurate histopathology for diagnosis and treatment.
Area of Science:
- Oncology
- Pathology
- Radiology
Background:
- Breast lesions encompass benign and malignant conditions, with breast cancer being a leading global diagnosis.
- Accurate differentiation of lesions like cellular fibroadenoma and phyllodes tumors is crucial due to differing treatments.
- Timely diagnosis and management are key for optimal patient outcomes in breast conditions.
Purpose of the Study:
- To retrospectively analyze histopathological patterns of breast lesions.
- To correlate these patterns with demographic and clinical characteristics.
- To evaluate diagnostic and treatment outcomes over a five-year period.
Main Methods:
- Retrospective analysis of breast biopsy, mastectomy, and Fine Needle Aspiration Cytology (FNAC) reports from January 2017 to December 2022.
- Collection of demographic and clinical data from request forms and hospital registries.
- Review of histopathology slides for all cases.
Main Results:
- The mean age of diagnosis was 34.18 years; 83% of lesions occurred in those under 50.
- Benign lesions (406 cases) were most common, with fibroadenoma being prevalent.
- Malignant lesions (18.5%) were predominantly invasive breast cancer, with peak incidence in the 61-70 age group.
Conclusions:
- Breast lesions exhibit diverse histopathological patterns, with benign conditions being more frequent than malignant ones.
- Fibroadenoma is the most common benign breast lesion, while invasive breast cancer is the most common malignant type.
- Understanding histopathological patterns is vital for improving breast lesion diagnosis and treatment strategies.
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