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Step by step approach to rare breast lesions containing spindle cells
Betül Ünal1, Gülgün Erdoğan1, Fatma Şeyda Karaveli1
1Department of Pathology, Faculty of Medicine, Akdeniz University, 07070 Antalya, Turkey.
Springerplus
|November 12, 2015
Summary
Diagnosing spindle cell lesions in the breast is difficult due to overlapping features. An algorithmic approach integrating histopathology, immunohistochemistry, and clinical data is crucial for accurate diagnosis of these breast tumors.
Area of Science:
- Pathology
- Oncology
- Breast Imaging
Background:
- Spindle cell lesions of the breast present diagnostic challenges due to cytological atypia and mitosis across reactive, benign, and malignant conditions.
- Accurate differentiation is critical for appropriate patient management and treatment strategies.
Purpose of the Study:
- To outline an algorithmic approach for the differential diagnosis of spindle cell lesions in the breast.
- To highlight key features for distinguishing between various benign and malignant spindle cell breast tumors.
Main Methods:
- Retrospective review of patients with histopathologically confirmed spindle cell lesions.
- Evaluation of clinical history, radiological findings, histopathology, and immunohistochemistry.
- Analysis of specific diagnoses including pseudoangiomatous stromal hyperplasia (PASH), desmoid-type fibromatosis (FM), adenomyoepithelioma (AME), myofibroblastoma (MFB), malignant phyllodes tumor (MF), high-grade AS, post-chemotherapy osteosarcoma (OS) + Paget's disease, and metaplastic carcinoma (MC).
Main Results:
- The study identified several spindle cell lesions with overlapping features, necessitating a comprehensive diagnostic strategy.
- An algorithmic approach integrating cellular structure, atypia, growth pattern, mitotic activity, immunohistochemistry, and imaging is proposed.
- Molecular changes may offer additional diagnostic utility.
Conclusions:
- A systematic, multi-faceted approach is essential for the accurate differential diagnosis of spindle cell lesions in the breast.
- Integrating histopathological, immunohistochemical, clinical, radiological, and potentially molecular data improves diagnostic confidence.
- This approach aids in distinguishing benign from malignant spindle cell breast conditions.

