To determine screening outcomes in women who have no recorded risk factors for breast cancer.
The aim of this study was to describe the current state of science regarding independent external validation of artificial intelligence (AI) technologies for screening mammography.
Population trends in PSA testing and prostate cancer incidence do not perfectly correspond. We aimed to better understand relationships between trends in PSA testing, prostate cancer incidence and mortality in Australia and factors that influence them.
Conflicting breast cancer screening recommendations have the potential to diminish informed decision making about screening. We examined the knowledge, attitudes, and intentions related to divergent recommendations for breast cancer screening among racially/ethnically diverse women.
Many countries have seen a dramatic increase in the reported incidence of cutaneous melanoma in recent decades, largely driven by increased diagnoses of melanoma in situ and thin invasive melanoma. The incidence of thick and metastatic melanomas, and melanoma mortality have remained relatively stable. While [...]
Supplemental screening with MRI or ultrasound increases cancer detection rate (CDR) in women with standard screening mammography. Whether it also reduces interval cancer rate (ICR) is unclear. This study reviewed the evidence evaluating the effect of supplemental imaging on ICR in women undergoing screening mammography.
This systematic review of 21 studies identified that positive screening attitudes and gaining knowledge and reassurance were associated with the decision to undergo screening, whereas negative screening attitudes and not wanting to know whether one has cancer were associated with the decision to forgo screening. [...]
Patient-led surveillance is a promising new model of follow-up care after excision of localized melanoma; a larger randomized clinical trial will evaluate comparative effects on important health, psychological, and resource use outcomes.
Artificial intelligence (AI) algorithms for interpreting mammograms have the potential to improve the effectiveness of population breast cancer screening programmes if they can detect cancers, including interval cancers, without contributing substantially to overdiagnosis. Studies suggesting that AI has comparable or greater accuracy than radiologists commonly [...]
Population-based mammographic screening programmes aim to reduce breast cancer mortality through early detection of the disease. Contemporary screening programmes increasingly value women’s autonomy and endorse the notion that women ought to be supported in making an informed choice whether to participate. To this end, the [...]