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期刊名:European journal of breast health

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ISSN:N/A

e-ISSN:2587-0831

IF/分区:1.7/Q4

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共收录本刊相关文章索引462
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Maria Alexandra Montenegro,Tiago Dias Domingues,Teresa Mota Garcia et al. Maria Alexandra Montenegro et al.
Objective: Male breast cancer (MBC) is a rare malignancy, representing less than 1% of all breast cancer cases. Despite the rising incidence, MBC research remains limited, with most data extrapolated from female breast ca...
Ahmad M Mounir,Farah Ahmed Shokeir,Ghada H Abd Elraouf Ahmad M Mounir
Objective: Together with local invasion, one of the important characteristics of cancer is its capacity to spread, resulting in metastases. Before cancer cells metastasize to a secondary site, they must first enter and sp...
Goranta Navya Sree,Sanjay Kumar Yadav,Deepti Bala Sharma et al. Goranta Navya Sree et al.
Objective: To investigate the relationship between vitamin D deficiency and mastalgia and assess the effectiveness of vitamin D supplementation in alleviating mastalgia symptoms. ...
Badra Bannour,Mariem Romdhani,Dorra Chiba et al. Badra Bannour et al.
Although rare, a hydatid cyst of the breast represents a mammary pseudotumor. We present the case of a 49-year-old woman with no significant medical history, who was diagnosed with an isolated hydatid cyst of the breast confirmed by histopa...
Nazreen Kara,Dominic da Costa,Ella Dougherty et al. Nazreen Kara et al.
Objective: Prior to the 2020 Coronavirus disease 2019 (COVID-19) pandemic, breast cancer (BC) was already a major healthcare concern globally, including in South Africa (SA). The pandemic forced adjustments in BC manageme...
Ayşe Hümeyra Dur Karasayar,İbrahim Kulaç,Nilgün Kapucuoğlu Ayşe Hümeyra Dur Karasayar
Artificial intelligence (AI) and digital pathology are transforming breast cancer management by addressing the limitations inherent in traditional histopathological methods. The application of machine learning algorithms has enhanced the ab...
Shaimaa Shamoun,Muayyad Ahmad Shaimaa Shamoun
Objective: This study aimed to compare the incidence of breast cancer-related lymphedema (BCRL) between a control group and women with breast cancer who underwent complete decongestive therapy (CDT). Moreover, the quality...
Ashok Kumar Dogra,Archana Prakash,Sanjay Gupta et al. Ashok Kumar Dogra et al.
Triple-negative breast cancer (TNBC) is a highly aggressive subtype of breast cancer defined by the absence of estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 expression. Despite accounting for 15-20% ...
Durmuş Ayan,Ergül Bayram,Hakan Sakallı et al. Durmuş Ayan et al.
Objective: Breast cancer (BC) is a global concern due to its high incidence worldwide. The alarming increase in BC cases highlights the need for careful management of the disease at multiple levels. This study investigate...