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Endoscopic Bilateral Nipple-sparing Mastectomy via a Single Axillary Incision with Immediate Pre-pectoral Implant-based Breast Reconstruction

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[A curious biphasic breast lesion].

Jérémy Schoelinck¹, Mellie Heinemann², Daniel Pissaloux³

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Annales De Pathologie

|January 17, 2024

Summary

This summary is machine-generated.

Malignant adenomyoepithelioma, a rare breast tumor, has a poor prognosis. This study proposes a new classification to better distinguish benign, atypical, and malignant variants for improved patient outcomes.

Keywords:

Adénomyoépithéliome atypique Adénomyoépithéliome malin Atypical adenomyoepithelioma Epithelial/myoepithelial proliferation Malignant adenomyoepithelioma Prolifération épithéliale/myoépithéliale

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Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors

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Published on: April 5, 2020

Area of Science:

Oncology
Pathology
Breast Cancer Research

Background:

Adenomyoepithelioma is a rare breast tumor, accounting for 0.5% of postmenopausal tumors.
Benign adenomyoepithelioma has a good prognosis, but malignant variants present poor prognosis with high recurrence and metastatic potential.

Purpose of the Study:

To present a case of malignant adenomyoepithelioma.
To discuss the limitations of the 2019 WHO classification for adenomyoepithelioma.
To propose a refined classification system for adenomyoepithelioma.

Main Methods:

Case study presentation.
Review of the 2019 WHO classification criteria.
Development of a proposed three-category classification system.

Main Results:

Malignant adenomyoepithelioma demonstrates aggressive behavior with local recurrence and metastatic potential.
The current 2019 WHO classification presents challenges in accurately categorizing adenomyoepithelioma.
A proposed classification includes benign, atypical, and malignant (in situ and invasive) categories.

Conclusions:

Accurate classification of adenomyoepithelioma is crucial for predicting prognosis and guiding treatment.
The proposed classification aims to improve diagnostic accuracy and patient management.
Further validation of the proposed classification is warranted.