A Pictorial Exploration of Mammary Paget Disease: Insights and Perspectives.
Luciano MarianoLuca NicosiaDavide PupoAntonia Maria OlivieriSofia ScolariFilippo PesapaneAntuono LatronicoAnna Carla BozziniNicola FuscoMarta Cruz BlancoGiovanni MazzarolGiovanni CorsoViviana Enrica GalimbertiMassimo VenturiniMaria PizzamiglioClaudia SangalliPublished in: Cancers (2023)
Mammary Paget disease (MPD) is a rare condition primarily affecting adult women, characterized by unilateral skin changes in the nipple-areolar complex (NAC) and frequently associated with underlying breast carcinoma. Histologically, MPD is identified by large intraepidermal epithelial cells (Paget cells) with distinct characteristics. Immunohistochemical profiles aid in distinguishing MPD from other skin conditions. Clinical evaluation and imaging techniques, including magnetic resonance imaging (MRI), are recommended if MPD is suspected, although definitive diagnosis always requires histological examination. This review delves into the historical context, epidemiology, pathogenesis, clinical manifestations, and diagnosis of MPD, emphasizing the need for early detection. The classification of MPD based on pathogenesis is explored, shedding light on its varied presentations. Treatment options, including mastectomy and breast-conserving surgery, are discussed with clear guidelines for different scenarios. Adjuvant therapies are considered, particularly in cases with underlying breast cancer. Prognostic factors are outlined, underlining the importance of early intervention. Looking to the future, emerging techniques, like liquid biopsy, new immunohistochemical and molecular markers, and artificial intelligence-based image analysis, hold the potential to transform MPD diagnosis and treatment. These innovations offer hope for early detection and improved patient care, though validation through large-scale clinical trials is needed.
Keyphrases
- artificial intelligence
- magnetic resonance imaging
- prognostic factors
- machine learning
- clinical trial
- deep learning
- clinical evaluation
- big data
- randomized controlled trial
- induced apoptosis
- minimally invasive
- contrast enhanced
- computed tomography
- transcription factor
- risk factors
- polycystic ovary syndrome
- type diabetes
- soft tissue
- atrial fibrillation
- squamous cell carcinoma
- wound healing
- lymph node
- neoadjuvant chemotherapy
- high resolution
- clinical practice
- skeletal muscle
- pregnant women
- mass spectrometry
- ultrasound guided
- locally advanced
- adipose tissue
- single molecule
- risk assessment
- young adults
- pregnancy outcomes
- cell death
- fine needle aspiration
- insulin resistance
- surgical site infection
- breast cancer risk