Introduction: People with suspected breast cancer who are not referred for diagnostic testing remain unregistered and are not included in cancer statistics. Little is known about the extent of and motivation for nonreferral of these patients.
Methods: A Web-based survey was sent to all elderly care physicians (ECPs) registered at the National Association of Elderly Care Physicians and Social Geriatricians in the Netherlands, inquiring about the number of patients with suspected breast cancer they encountered and subsequent choices regarding referral.
Results: Surveys were completed by 419 (34%) of 1239 ECPs; 249 (60%) of these had encountered one or more patients with suspected breast cancer in the past year. Seventy-four (33%) ECPs reported not referring the last patient. Reasons for nonreferral were end-stage dementia (57%), patient/family preference (29%), and limited life expectancy (23%). Referral was frequently thought to be too burdensome (13%). For 16% of nonreferred patients, hormonal treatment was started by the ECP without diagnostic confirmation of cancer.
Conclusion: In this survey, more than 33% of nursing home patients with suspected breast cancer were not referred for further testing, in particular those with advanced dementia, limited life expectancy, and poor functional status. As the combination of dementia and suspected breast cancer is expected to double in the coming decades, now is the time to optimize cancer care for these vulnerable patients.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jamda.2012.01.002 | DOI Listing |
J Clin Med
January 2025
Laboratory of Epidemiological and Clinical Cardiology, Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy.
Breast cancer is a prevalent malignancy with rising incidence globally. Advances in endocrine therapy have improved outcomes for premenopausal women with hormone receptor-positive breast cancer. However, these treatments may induce menopause-like states, potentially elevating cardiovascular risks, including left ventricular (LV) dysfunction.
View Article and Find Full Text PDFMagn Reson Imaging
January 2025
Department of Radiology, Royal Marsden Hospital, Sutton, UK; Division of Radiotherapy and Imaging, The Institute of Cancer Research, Sutton, UK.
Introduction: Whole-body MRI (WB-MRI) is increasingly used in clinical practice for detection of malignant bone disease. A high relative contrast ratio (RCR) of malignant bone lesions compared with normal bone can improve disease detection in breast, prostate and myeloma malignancies. However, the RCR of malignant bone lesions on T1w, DWI and relative Fat Fraction (rFF) maps derived from Dixon T1w have not been compared.
View Article and Find Full Text PDFBreast
January 2025
Medical Genetics Center (MGZ), Bayerstr. 3-5, 80335, Munich, Germany; NASGE, Nationale Allianz für seltene genetische Erkrankungen, Germany; Department of Medicine IV, Klinikum der Universität, Ludwig-Maximilians-Universität, Ziemssenstr. 5, 80336, Munich, Germany. Electronic address:
As multigene panel testing is becoming routine in clinical care, there are recommendations at national and international level, as to which genes should be analyzed in the context of a hereditary breast and ovarian cancer (HBOC). However, the individual composition of gene panels offered by testing laboratories vary, resulting in a different variant diagnostic rate. Therefore, we performed a retrospective NGS dataset analysis of suspected HBOC patients who had been tested at different German diagnostic laboratories that are part of the NASGE network.
View Article and Find Full Text PDFTomography
January 2025
Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Objectives: To evaluate the effectiveness of breast MRI, including diffusion-weighted imaging (DWI), in detecting residual lesions in patients with malignancy after excisional biopsy.
Methods: From January 2018 to December 2023, 3T breast MRI was performed to assess lesion morphology, residual size, and enhancement kinetics. The apparent diffusion coefficient (ADC) values were measured, and the diagnostic outcomes of CE-MRI, CE-MRI with DWI, mammography (MG), and ultrasound (US) were compared with clinical and histopathological data.
Front Neurol
January 2025
Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Objective: To develop a machine learning-based clinical and/or radiomics model for predicting the primary site of brain metastases using multiparametric magnetic resonance imaging (MRI).
Materials And Methods: A total of 202 patients (87 males, 115 females) with 439 brain metastases were retrospectively included, divided into training sets (brain metastases of lung cancer [BMLC] = 194, brain metastases of breast cancer [BMBC] = 108, brain metastases of gastrointestinal tumor [BMGiT] = 48) and test sets (BMLC = 50, BMBC = 27, BMGiT = 12). A total of 3,404 quantitative image features were obtained through semi-automatic segmentation from MRI images (T1WI, T2WI, FLAIR, and T1-CE).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!