Compared to USPSTF 2013,  modified eligibility criteria could increase cancer detection by 37%.

Recently a radiomics-based machine learning model proved highly accurate at predicting which patients would develop pancreatic cancer three to 36 months after abdominal CT imaging.

While Black women have lower incidence of breast cancer diagnosis, their mortality rates are 40% higher than those observed in white women.  

Researchers believe the new method of assessing treatment responses could pave the way for developing new cancer therapeutics.

The statement was written to fill gaps in recommendations from prior consensus statements and guidelines in regards to the use of CCT in cardio-oncology, including use of calcium scoring and ruling out coronary disease when cardiac function is impaired.

The treatment has the potential to “extend lifespans and improve quality of life” in patients with brain cancer, according to experts at UC San Diego Health. 

The strategy of combining the two tests improved specificity and positive predictive value in detecting clinically significant cancer compared to PSA alone.  

In this cohort, experts found that just 34% of surgeries were performed on symptomatic patients, which shifted their focus to other potential modes of detection.