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Breast cancer surveillance for epithelial ovarian cancer patients with BRCA1 and BRCA2 pathogenic variants: a single-center retrospective study.
Jpn J Clin Oncol
January 2025
Department of Obstetrics and Gynecology, Tohoku University School of Medicine, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan.
Objectives: To identify a method for breast cancer (BC) surveillance in patients with epithelial ovarian cancer (EOC) with germline BRCA1/2 pathogenic variants (gBRCA1/2m) and the incidence of BC after EOC in the era of broad PARP inhibitors use.
Methods: We retrospectively analyzed the data on EOC patients who had gBRCA1/2m by genetic testing between January 2017 and August 2023 in our single center.
Results: Of 125 patients with EOC, 33 had gBRCA1/2m.
Age at first full-term pregnancy and other reproductive factors are associated with mammographic breast density in postmenopausal women: a study in Flanders, Belgium.
Cancer Res Commun
January 2025
University Hospitals Leuven, Leuven, Belgium.
This study evaluated the association between age at first full-term pregnancy (FFTP) and mammographic breast density (MBD) in postmenopausal women. 1,034 women, age 50-69y, were recruited from the Flemish (Belgium) population-based breast cancer screening program. Participants completed a questionnaire on lifestyle and reproductive factors.
View Article and Find Full Text PDFAnalysis of the clinicopathological and imaging features in breast intraductal papillary lesions with or without pathological nipple discharge.
Sci Rep
January 2025
Department of Breast Surgery, Cheeloo College of Medicine, Qilu Hospital (Qingdao), Shandong University, 758 Hefei Road, Qingdao, 266000, Shandong, China.
With the popularity of breast screening, more and more intraductal papillary lesions (IDPL)were detected by ultrasound or mammography, which is a spectrum of diseases ranging from benign to malignant lesions. Patients with pathological nipple discharge (PND) may indicate IDPL, but it is difficult to clarify their biological characteristics before the operation. As to patients with IDPL without PND, it is even an enormous challenge to differentiate their benign or malignant characteristics.
View Article and Find Full Text PDFBreast cancer classification in point-of-care ultrasound imaging-the impact of training data.
J Med Imaging (Bellingham)
January 2025
Lund University, Centre for Mathematical Sciences, Division of Computer Vision and Machine Learning, Lund, Sweden.
Purpose: The survival rate of breast cancer for women in low- and middle-income countries is poor compared with that in high-income countries. Point-of-care ultrasound (POCUS) combined with deep learning could potentially be a suitable solution enabling early detection of breast cancer. We aim to improve a classification network dedicated to classifying POCUS images by comparing different techniques for increasing the amount of training data.
View Article and Find Full Text PDFMaximizing diagnostic precision: Evaluating the combined Yokohama and BI-RADS scoring system for breast lesions.
Rev Esp Patol
January 2025
Department of Pathology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India. Electronic address:
Background: The diagnosis of breast cancer necessitates a multifaceted approach integrating cytopathological and radiological assessments. The International Academy of Cytology (IAC) Yokohama system and Breast Imaging Reporting and Data System (BI-RADS) are fundamental frameworks in this context. This study aims to evaluate the diagnostic potential of a combined Yokohama-BI-RADS scoring system for breast lesions.
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