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.
New findings published in RSNA's Radiology highlight the shortcomings of using nodule characteristics and patient history alone to predict an individual’s true cancer risk.
It is estimated that less than 20% of eligible patients in the U.S. adhere to LCS recommendations, despite numerous studies highlighting the exam’s effectiveness.
Chest X-rays could be the key to mitigating the issue of overdiagnosis in certain patient populations undergoing lung cancer screening, according to new research.
Providers are up to three times more likely to trust the opinion of humans over AI, even when the algorithm is proven to detect more cancerous lesions than radiologists.
There are no standards requiring radiologists to report on the presence of BACs, even though up to half of referring providers have indicated they would prefer to be made aware of the finding.
Breast artery calcifications are already visible when radiologists review mammograms, but nothing typically happens with them. Researchers aimed to see if AI could help translate those findings into an easy-to-understand cardiovascular risk score.
Despite the great progress that has been made toward the clinical implementation of AI, new data caution against trusting the technology as a single reader in certain settings.
The ACR hopes these changes, including the addition of diagnostic performance feedback, will help reduce the number of patients with incidental nodules lost to follow-up each year.