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Myofibroblastoma of the breast mimicking carcinoma: a diagnostic challenge with a crucial role for histopathology and immunohistochemistry.
BMJ Case Rep
January 2025
Pathology, Shri B.M. Patil Medical College Hospital and Research Centre, BLDE (Deemed to be University), Vijayapura, Karnataka, India.
Myofibroblastoma is a rare mesenchymal tumour known for its benign nature but complex diagnostic pathway. A woman in her 40s presented with a painless breast mass, initially reported as a fibroadenoma on ultrasound mammography and as a benign to borderline phyllodes tumour on fine needle aspiration cytology. Contrast-enhanced CT was reported as carcinoma of the breast with Breast Imaging and Reporting Data System (BIRADS)-6.
View Article and Find Full Text PDFNavigating the Uncertainty of B3 Breast Lesions: Diagnostic Challenges and Evolving Management Strategies.
J Pers Med
January 2025
Multidisciplinary Breast Centre, Department of Women's and Children's Health Sciences and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
B3 breast lesions, classified as lesions of uncertain malignant potential, present a significant diagnostic and therapeutic challenge due to their heterogeneous nature and variable risk of progression to malignancy. These lesions, which include atypical ductal hyperplasia (ADH), papillary lesions (PLs), flat epithelial atypia (FEA), radial scars (RSs), lobular neoplasia (LN), and phyllodes tumors (PTs), occupy a "grey zone" between benign and malignant pathologies, making their management complex and often controversial. This article explores the diagnostic difficulties associated with B3 lesions, focusing on the limitations of current imaging techniques, including mammography, ultrasound, and magnetic resonance imaging (MRI), as well as the challenges in histopathological interpretation.
View Article and Find Full Text PDFEvaluation of the Clinicopathological Features Associated With Malignancy of Phyllodes Tumor of the Breast.
Cureus
December 2024
Department of Medicine, ASEAB (Association for Socio-Economic Advancement of Bangladesh) Community Hospital and Diagnostic Center, Pabna, BGD.
Objective: Phyllodes tumor (PT) is a variant of fibroepithelial proliferations of the breast, histologically demonstrating a leaf-like pattern. The WHO has categorized PTs as benign, borderline, or malignant based on their histological characteristics. The objective of this paper is to assess the clinicopathological factors with malignancy in PT of the breast.
View Article and Find Full Text PDFContemporary management of phyllodes tumours of the breast: proposal for recommendations from the UK Association of Breast Surgery.
Br J Surg
December 2024
Department of Breast Surgery, Worcestershire Acute Hospitals NHS Trust, Worcester, UK.
Phyllodes tumours of the breast are rare fibroepithelial neoplasms classified histologically into benign, borderline, or malignant; each requiring different treatment strategies. The infrequency of presentation can result in diagnostic and management variability. The aim is to provide evidence-based or expert consensus recommendations for multidisciplinary teams managing patients with phyllodes tumours.
View Article and Find Full Text PDFApplication of MRI-based tumor heterogeneity analysis for identification and pathologic staging of breast phyllodes tumors.
Magn Reson Imaging
January 2025
Background: Huai-he Hospital of Henan University, Kaifeng, China. Electronic address:
Objective: To explore the application value of MRI-based imaging histology and deep learning model in the identification and classification of breast phyllodes tumors.
Methods: Seventy-seven patients diagnosed as breast phyllodes tumors and fibroadenomas by pathological examination were retrospectively analyzed, and traditional radiomics features, subregion radiomics features, and deep learning features were extracted from MRI images, respectively. The features were screened and modeled using variance selection method, statistical test, random forest importance ranking method, Spearman correlation analysis, least absolute shrinkage and selection operator (LASSO).
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