Diagnostic screening programs help catch cancer, abnormalities or other diseases before they reach an advanced stage, saving lives and healthcare costs. Screening programs include, lung, breast, prostate, and cervical cancer, among many others.
Generative artificial intelligence models have shown great potential for improving multiple aspects of the radiology field, but a new analysis cautions that they still require significant oversight.
Dana Smetherman, MD, CEO of the American College of Radiology, discusses the policy, which urges for more robust promotion of low-dose CT as a public health tool.
New research adds to the “strong evidence” supporting screening guidelines and highlights the importance of women adhering to clinical recommendations.
The USPSTF’s update suggests that women should screen every other year, but the group's own modeling studies have cited the benefits of annual screening.
These findings highlight a need for more stringent and standardized reporting guidelines relative to incidental findings, authors of the new study suggested.
Radiologists interpreting screening mammograms may be especially susceptible to falling victim to automation bias, as these exams are repetitive in nature.
Breast density is known to drop over time, but the rate at which density decreases merits special attention, as it could be associated with a woman’s chance of developing cancer.
That’s according to an award-winning scientific online poster presented this week during the American Roentgen Ray Society’s annual meeting being held in Honolulu, Hawaii.
Features pertaining to location, density and superimposed structures were recently found to be associated with poorer outcomes for patients who initially had their lung cancer overlooked on radiographs.
Since being approved by the U.S. Food and Drug Administration in 2011, DBT has become the most common method for breast cancer screening, and as of September 2022, 84% of all U.S. mammography screening facilities housed DBT units.