title: An algorithmic approach to spindle cell lesions of the breast.
abstract: Spindle cell lesions arising in the breast represent reactive, benign, and malignant tumors with overlapping morphologic, clinico-radiologic, and immunohistochemical characteristics. Moreover, common entities comprising this subset are usually uncommon entities in overall prevalence. The combination of such diagnostic "disadvantages" can make the practicing pathologist feel uncertain from the onset of encountering such a case. We hope to dispel some of this discomfort by delineating a simple algorithm that provides structure and direction to the diagnostic work-up. Finally, we provide short summaries of the most commonly encountered mammary spindle cell lesions.
authors: Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY 10065, USA.
authors: Sonal
authors: S
authors: Varma
authors: Sandra J
authors: SJ
authors: Shin
mesh_terms: D000465:Algorithms; D014408:Biomarkers, Tumor / Q000032:analysis; D001943:Breast Neoplasms / Q000737:chemistry / Q000175:diagnosis*; D002277:Carcinoma / Q000737:chemistry / Q000175:diagnosis*; D049109:Cell Proliferation; D005260:Female; D006801:Humans; D007150:Immunohistochemistry; D003557:Phyllodes Tumor / Q000737:chemistry / Q000175:diagnosis*
chemical_list: D014408:Biomarkers, Tumor