Pink ribbons for breast cancer awareness … a perspective.
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http://dx.doi.org/10.7196/samj.8300 | DOI Listing |
J Med Radiat Sci
December 2024
Global Centre for Research and Training in Radiation Oncology, School of Health Sciences, College of Health, Medicine, and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia.
Breast cancer is the most frequently diagnosed cancer worldwide. The treatment options for breast cancer can cause side effects and adversely impact quality of life. Side effects, including fatigue, pain, cognitive changes, and psychosocial complications, can be life altering and continue beyond treatment into survivorship.
View Article and Find Full Text PDFJ Cardiovasc Dev Dis
October 2024
Department of Anesthesiology and Pain Medicine, Maastricht University Medical Center+ (MUMC+), 6229 HX Maastricht, The Netherlands.
Eur Radiol
October 2024
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Stratenum 6.131, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands.
Objectives: Supplemental MRI screening improves early breast cancer detection and reduces interval cancers in women with extremely dense breasts in a cost-effective way. Recently, the European Society of Breast Imaging recommended offering MRI screening to women with extremely dense breasts, but the debate on whether to implement it in breast cancer screening programs is ongoing. Insight into the participant experience and willingness to re-attend is important for this discussion.
View Article and Find Full Text PDFRadiol Artif Intell
May 2024
From Whiterabbit.ai, 3930 Freedom Cir, Santa Clara, CA 95054 (S.P., T.T., B.M., Y.N.T.V., T.M., R.M.H., M.S., N.G., N.Z.D., J.S.); Onsite Women's Health, Westfield, Mass (S.H.); SSM Health, St Louis, Mo (C.M.A.); and Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (R.L.W.).
Purpose To evaluate the ability of a semiautonomous artificial intelligence (AI) model to identify screening mammograms not suspicious for breast cancer and reduce the number of false-positive examinations. Materials and Methods The deep learning algorithm was trained using 123 248 two-dimensional digital mammograms (6161 cancers) and a retrospective study was performed on three nonoverlapping datasets of 14 831 screening mammography examinations (1026 cancers) from two U.S.
View Article and Find Full Text PDFJ Vet Diagn Invest
May 2024
Department of Pathology, Microbiology and Immunology, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA.
An 8-y-old Pygora doe was presented to the University of California-Davis, Veterinary Medical Teaching Hospital because of non-healing facial swelling of 2-wk duration. The lesion grew despite medical treatment, causing discomfort masticating, little-to-no airflow from the right nasal passage, and led to euthanasia. On gross examination, a large facial mass with a draining tract through the skin and hard palate was identified.
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