Gender disparity in radiology and its subspecialties presents a significant and persistent challenge, with only a small fraction of female Canadian medical students choosing radiology compared to their male counterparts. This disparity is further reflected in the professional landscape, where only 23% of practicing radiologists are women, predominantly concentrated in "women's imaging," which typically includes breast and gynecological imaging. This categorization not only perpetuates professional segregation by reinforcing gender stereotypes but also impacts patient care and research by suggesting that these areas are exclusively women's health issues. This paper explores the consequences of the "women's imaging" label and advocates for a reevaluation and renaming of subspecialties to more neutral, organspecific terms to encourage broader interest and participation. Furthermore, we propose strategies to enhance gender equity across all radiological subspecialties, including integrating radiology more thoroughly into medical education and promoting visible leadership roles for women.
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http://dx.doi.org/10.1067/j.cpradiol.2024.10.014 | DOI Listing |
J Med Imaging Radiat Oncol
December 2024
Department of Radiology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.
Characterisation of an indeterminate ovarian mass is important as it guides management and clinical outcomes. Ultrasound is the first-line modality in the assessment of ovarian tumours. When ovarian masses are indeterminate on ultrasound, MRI provides excellent resolution in tissue characterisation and enhancement patterns.
View Article and Find Full Text PDFCurr Probl Diagn Radiol
November 2024
Department of Radiology, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; Diagnostic Imaging, BC Cancer Vancouver, British Columbia, Canada.
Gender disparity in radiology and its subspecialties presents a significant and persistent challenge, with only a small fraction of female Canadian medical students choosing radiology compared to their male counterparts. This disparity is further reflected in the professional landscape, where only 23% of practicing radiologists are women, predominantly concentrated in "women's imaging," which typically includes breast and gynecological imaging. This categorization not only perpetuates professional segregation by reinforcing gender stereotypes but also impacts patient care and research by suggesting that these areas are exclusively women's health issues.
View Article and Find Full Text PDFEur J Radiol
January 2025
Department of Radiology, Columbia University, New York, NY, USA.
Women with extremely dense breasts account for approximately 10% of the screening population and face an increased lifetime risk of developing breast cancer. At the same time, the sensitivity of mammography, the first-line screening modality, is significantly reduced in this breast density group, owing to the masking effect of the abundant fibroglandular tissue. Consequently, this population has garnered increasing scientific attention due to the unique diagnostic challenge they present.
View Article and Find Full Text PDFDiagnostics (Basel)
November 2024
Women's Imaging, Radiology Department, King Khaled University Hospital, King Saud University, Riyadh 12372, Saudi Arabia.
: Digital mammography (DM) has long been the standard for breast cancer screening, while digital breast tomosynthesis (DBT) offers an advanced 3D imaging modality capable of generating 2D Synthetic Mammography (SM) images. Despite SM's potential to reduce radiation exposure, many clinics favor DM, with DBT and SM, due to its perceived diagnostic reliability. This study investigates whether radiologists can replace DM with SM in breast cancer screening and diagnosis or if both modalities are necessary.
View Article and Find Full Text PDFBr J Radiol
October 2024
Lecturer of radiology, National cancer institute, Cairo University, Breast imaging consultant, Baheya center for early breast cancer and treatment.
Purpose: To investigate the impact of artificial intelligence (AI) on enhancing the sensitivity of digital mammograms in the detection and specification of grouped microcalcifications.
Methods And Materials: The study is a retrospective analysis of grouped microcalcifications for 447 patients. Grouped microcalcifications detected were correlated with AI, which was applied to the initial mammograms.
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