A study from the Institute for Energy and Environment Research blasted U.S. regulators for relying on radiation protection rules that underestimate exposure risks for women and children because they are based on standards of a “reference man,” a hypothetical 20 to 30-year-old white male.
A study from the Institute for Energy and Environment Research blasted U.S. regulators for relying on radiation protection rules that underestimate exposure risks for women and children because they are based on standards of a “reference man,” a hypothetical 20 to 30-year-old white male.
At least three federal agencies-the Environmental Protection Agency, Nuclear Regulatory Commission, and Department of Energy-still use reference-man criteria to guide radiation dose regulations and compliance assessment. According to IEER president Arjun Makihjani, Ph.D., current policy fails to protect groups other than young adult males. A female infant, for instance, has about a seven times greater chance of developing cancer than a 30-year-old man from the same radiation dose. The report recommends that compliance with radiation protection always be estimated by calculating doses for those at the greatest risk from excess exposure.
Study Reaffirms Low Risk for csPCa with Biopsy Omission After Negative Prostate MRI
December 19th 2024In a new study involving nearly 600 biopsy-naïve men, researchers found that only 4 percent of those with negative prostate MRI had clinically significant prostate cancer after three years of active monitoring.
Study Examines Impact of Deep Learning on Fast MRI Protocols for Knee Pain
December 17th 2024Ten-minute and five-minute knee MRI exams with compressed sequences facilitated by deep learning offered nearly equivalent sensitivity and specificity as an 18-minute conventional MRI knee exam, according to research presented recently at the RSNA conference.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.