Background: Liposarcomatous differentiation within a phyllodes tumor is extremely rare. Cytologic and histologic findings of a case of malignant phyllodes tumor with liposarcomatous stroma of the breast are presented.
Case: A 45-year-old female had a malignant phyllodes tumor with pleomorphic liposarcomatous stroma diagnosed by fine needle aspiration (FNA) cytology. The cytologic findings were representative of the histologic features.
Conclusion: Malignant phyllodes tumor of the breast can be diagnosed by FNA. It is very important to acknowledge the morphologic variants of sarcomatous stroma and to recognize the cytologic features of such rare tumors to prevent misdiagnosis as primary sarcomas of the breast. Preoperative diagnosis is important in planning the most appropriate type of treatment. It is also important to follow patients for long periods for recurrence and metastasis after surgery for this tumor.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1159/000326716 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Evaluation 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 PDFRare Indocyanine-Induced Anaphylactic Shock During Deep Inferior Epigastric Artery Perforator Breast Reconstruction: A Case Report.
Ann Plast Surg
February 2025
From the Department of Plastic and Reconstructive Surgery, Ewha Womans University College of Medicine, Mokdong Hospital, Seoul, Republic of Korea.
Indocyanine green (ICG) is a water-soluble green substance that is detectable through infrared cameras and emits greenish light. Approved for medical use in the 1950s, ICG has gained prominence as a real-time visualization tool. Widely recognized as a generally safe substance, ICG is applied in diverse fields.
View Article and Find Full Text PDFPaediatric breast disease and developmental breast cysts - reflection on 20 years of experience.
ANZ J Surg
January 2025
Department of Breast and Endocrine Surgery, Royal Adelaide Hospital, Adelaide, South Australia, Australia.
Introduction: Presentation with breast symptoms in the paediatric population is common but there is little existing literature on the workup and management of breast disease in this population.
Methods: Retrospective series of 140 cases of breast disease in the paediatric population managed by a single surgeon in Adelaide, South Australia between 2004 and 2024. Review of patient demographics, presentation, investigation, management and outcomes of various breast symptoms and pathologies using descriptive analysis.
Contemporary 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).
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!