Salemis, Nikolaos S. Koliarakis, Nikolaos Spiliopoulos, Kyriakos Kimpouri, Konstantina Marinos, Leonidas
Published in
Intractable & Rare Diseases Research
Primary cutaneous follicle center lymphoma (PCFCL) is defined as a low-grade B-cell non- Hodgkins lymphoma, which primarily occurs and remains confined to the skin, without evidence of extracutaneous or systemic involvement at the time of diagnosis. PCFCL affecting the breast skin is an exceedingly rare entity with only two cases reported in the En...
Salemis, Nikolaos S.
Published in
Intractable & Rare Diseases Research
Primary neuroendocrine carcinoma of the breast (NEBC) is a very rare occurrence accounting for less than 0.1% of all breast cancers. Typically, the tumor presents with ER- and PgR-positive and HER-2-negative status. Despite its luminal type, NEBC is associated with a more aggressive clinical course and poorer prognosis compared to the other types o...
Biratu Terfa, Yonas Bayana Kebede, Ebissa Olani Akuma, Adugna
Published in
Breast Cancer : Targets and Therapy
Introduction Breast self-examination is one of the cheapest screening methods for early detection of breast cancer which can be performed by women in privacy, and in their own schedule. Despite being simple, quick, and cost-free, the practice of breast self-examination is low. The study was carried out to assess the practice of breast self-examinat...
Haas, Jennifer S.
Published in
Gastroenterology
Briot, N. Chagnon, G. Masri, C. Girard, E. Payan, Yohan
International audience
Di Liso, Elisabetta Bottosso, Michele Lo Mele, Marcello Tsvetkova, Vassilena Dieci, Maria Vittoria Miglietta, Federica Falci, Cristina Faggioni, Giovanni Tasca, Giulia Giorgi, Carlo Alberto
...
Published in
ESMO Open
Background Phyllodes tumours (PTs) are rare fibroepithelial tumours accounting for 5 cm vs T≤2 cm). Higher tumour-infiltrating lymphocytes (TILs) were associated with borderline and malignant PT (p=0.023); TILs were not associated with phyllodes-related relapse-free survival (HR 0.58, p=0.361 for TILs>2% vs≤2%). Overall, four patients died because ...
Reig, Beatriu Heacock, Laura Geras, Krzysztof J Moy, Linda
Published in
Journal of magnetic resonance imaging : JMRI
Machine-learning techniques have led to remarkable advances in data extraction and analysis of medical imaging. Applications of machine learning to breast MRI continue to expand rapidly as increasingly accurate 3D breast and lesion segmentation allows the combination of radiologist-level interpretation (eg, BI-RADS lexicon), data from advanced mult...
Malani, Rachna
Published in
CNS Oncology
Jacobs, Michael A. Umbricht, Christopher B. Parekh, Vishwa S. El Khouli, Riham H. Cope, Leslie Macura, Katarzyna J. Harvey, Susan Wolff, Antonio C.
Published in
Cancers
Simple Summary Artificial Intelligence methods using machine learning and radiomics is an emerging area of research for radiological and oncological applications for patient management. Recent evidence from breast cancer suggests that different breast cancer subtypes may respond differently to adjuvant therapies. The use of a 21-gene array assay ca...
Berná-Serna, Juan de Dios Guzmán-Aroca, Florentina García-Vidal, José A. Hernández-Gómez, Dolores García-Ortega, Ana Azahara Chivato Martín-Falquina, Tomás Piñero-Madrona, Antonio Berná-Mestre, Juan de Dios
Published in
Journal of Clinical Medicine
The aim of this study was to investigate the usefulness of platelet-rich plasma (PRP) treatment for chronic wounds (CWs) of the breast. A prospective study was performed in 23 patients with CW of the breast who were treated with PRP. The procedure was repeated until the wound was closed completely. The study included patients with a history of brea...
