Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.
Compared to standard hip-to-waist ratio measurements and BMI, the algorithm identifies significantly more instances of metabolic syndrome and its severity in individual patients.
Most patients who received mechanical ventilation for COVID-19 at a busy European hospital not only survived but also showed no scarring or thickening on lung CT at two years post-discharge.
Recent evidence confirms that interventional radiology produces solid clinical outcomes while beating surgery on the cost-effectiveness of numerous procedures.
When it comes to assessing patients with suspected pulmonary embolism, contrast-enhanced CT pulmonary angiography has no diagnostic edge over a certain free-breathing, unenhanced MRI perfusion protocol.
Many radiation oncologists are not formerly trained in imaging interpretation, and radiologists’ collaborative participation in care planning can help to catch errors, experts wrote recently.
Quantifiable features of medical images such as pixel intensity, arrangement, color and texture—in a word, radiomics—can help radiologists improve diagnostic accuracy.
Most radiologists log many hours every workday gazing into computer monitors emitting blue light, but their eyes are at close to zero risk of damage from retinal phototoxicity.
A structured program to track incidental findings on body CT has significantly boosted rates of clinician follow-up as well as timely patient adherence to radiologist recommendations for next exams.
Prior to the final proposal’s release, the American College of Radiology reached out to CMS to offer its recommendations on payment rates for five out of the six the new codes.
