Siliconomas are rarely found in internal mammary lymph nodes in the context of ruptured, ipsilateral, silicone breast implants. However, they can sometimes cause a diagnostic dilemma, as in the presented case. We discuss the diagnostic pitfalls that can arise from misinterpreting a siliconoma for a metastatic lymph node, review the literature, and suggest appropriate diagnostic approaches.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4900025PMC
http://dx.doi.org/10.2484/rcr.v6i4.601DOI Listing

Publication Analysis

Top Keywords

internal mammary
8
mammary lymph
8
lymph node
8
radiological pitfall
4
pitfall siliconoma
4
siliconoma internal
4
node mimics
4
mimics breast
4
breast cancer
4
cancer recurrence
4

Similar Publications

Purpose: Interstitial lung disease (ILD) is a well described and potentially fatal complication of trastuzumab-deruxtecan (T-DXd). It is currently unknown if specific monitoring is beneficial in the early detection of ILD in these patients. We describe the efficacy and feasibility of a novel ILD monitoring protocol in breast cancer patients treated with T-DXd at our institution.

View Article and Find Full Text PDF

Background: Chemotherapy-induced peripheral neuropathy (CIPN) and its associated pain negatively affect patient outcomes and quality of life (QoL). The two-part MiroCIP study included interventional and prospective observational studies. Here, we report the latter, describing CIPN incidence, risk factors, and outcomes.

View Article and Find Full Text PDF

Breast cancer is the most common malignancy among women. While advances in detection and treatment have improved survival, breast cancer survivors face an increased risk of cardiovascular disease. However, limited data exist on cardiac outcomes after ST-elevation myocardial infarction (STEMI) in this population.

View Article and Find Full Text PDF

Background: Breast cancer (BC), as a leading cause of cancer mortality in women, demands robust prediction models for early diagnosis and personalized treatment. Artificial Intelligence (AI) and Machine Learning (ML) algorithms offer promising solutions for automated survival prediction, driving this study's systematic review and meta-analysis.

Methods: Three online databases (Web of Science, PubMed, and Scopus) were comprehensively searched (January 2016-August 2023) using key terms ("Breast Cancer", "Survival Prediction", and "Machine Learning") and their synonyms.

View Article and Find Full Text PDF

Aim: To develop and psychometrically test two newly developed Cancer Nurse Self-Assessment Tools for early and metastatic breast cancer (CaN-SAT-eBC and CAN-SAT-mBC).

Design: Instrument development and psychometric testing of content validity, reliability and construct validity.

Methods: A three-phase procedure was conducted.

View Article and Find Full Text PDF

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!