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http://dx.doi.org/10.5603/EP.a2019.0063 | DOI Listing |
Cancer Genet
September 2024
Guangxi Medical University Cancer Hospital, Nanning, Guangxi, 530022, PR China. Electronic address:
Background: In recent years, concerns have emerged regarding the potential link between Juvenile idiopathic arthritis (JIA) and an elevated risk of developing breast cancer. However, the potential relationship between JIA and breast cancer is currently unclear. The objective of this study is to investigate the mechanism of JIA on cancer risk.
View Article and Find Full Text PDFInt J Surg Case Rep
November 2024
Department of Gynecology-Obstetrics, Mohammed V Military Teaching Hospital, Faculty of Medicine and Pharmacy of Rabat, University Mohammed V Rabat, Morocco.
Introduction And Importance: Juvenile breast hypertrophy, also known as juvenile macromastia or juvenile gigantomastia, is a rare disorder characterized by rapid, excessive breast growth in prepubertal or peripubertal girls, with no apparent cause. Juvenile breast hypertrophy is considered one of the most challenging mastopathies to manage.
Case Presentation: We present the case of a 12-year-old Moroccan girl with virginal breast hypertrophy, who was successfully treated.
Cureus
November 2024
General Surgery, Institute for Social Security and Services for State Workers, Monterrey, MEX.
Mammary hypertrophy, or macromastia, is an increase in breast tissue volume due to multiple etiologies and still unknown pathophysiology. We report the case of a 45-year-old patient with juvenile macromastia, which caused cervical pain and decreased quality of life. It was decided to perform a reduction mammoplasty with a modified McKissock technique with a free nipple graft; the resected glandular tissue was 1039 grams in the right breast and 1029 grams in the left breast.
View Article and Find Full Text PDFFront Oncol
November 2024
Ultrasound Department, Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Purpose: This study aimed to develop a model to predict the risk of axillary lymph node (ALN) metastasis in breast cancer patients, using gray-scale ultrasound and clinical pathological features.
Methods: A retrospective analysis of 212 breast cancer patients who met the inclusion criteria from January 2011 to December 2021 was carried out. Clinical and pathological characteristics, including age, tumor size, pathological type, molecular subtype, estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), and proliferation cell nuclear antigen (Ki-67), were examined.
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