Researchers determine quantitative ultrasound could be superior to conventional ultrasound for predicting fat acculturation in the liver.
Quantitative ultrasound could be more effective in predicting the grade of fat accumulation in patients with non-alcoholic fatty liver disease (NAFLD) than conventional ultrasound. In a study conducted at the University of California at San Diego, published in the American Journal of Roentgenology, researchers explored whether investigational quantitative ultrasound (QUS) parameters were more effective than conventional ultrasound (CUS) and MRI-estimated proton density fat fraction (PDFF) for predicting fat accumulation in the liver (hepatic steatosis) in non-alcoholic adults. For the study, 61 adults with confirmed NAFLD underwent QUS, CUS, and MRI examinations within 100 days of liver biopsy. Based on analysis, CUS had 51.7 percent grading accuracy. Raw and cross-validated steatosis grading accuracies were 61.7 percent and 55.0 percent, respectively, for attenuated co-efficient, 68.3 percent and 68.3 percent for backscatter co-efficient. For MRI-estimated PDFF, it was 76.7 percent and 71.3 percent. Interobserver agreements were 53.3 percent for CUS, 90 percent for attenuation coefficient, and 71.7 percent for backscatter coefficient.
The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
Study Finds Transvaginal Ultrasound Unreliable for Detecting Endometrial Cancer in Black Patients
July 3rd 2024Utilizing a threshold of less than 5 mm of ultrasound-measured endometrial thickness, the authors of a new study noted an 11.4 percent false-negative probability for endometrial cancer in Black patients.
New Study Shows Non-Radiologists Interpreting 28 Percent of Imaging for Medicare Patients
June 28th 2024While radiologists interpreted approximately 99 percent of all non-cardiac CT, MRI and nuclear medicine studies in hospital and emergency department settings for Medicare beneficiaries, new research shows significantly less radiologist review of cardiac imaging and office-based imaging.
FDA Clears Pocket-Sized ECG System and AI Technology for Detection of Cardiac Conditions
June 27th 2024Using a reduced leadset and deep neural network algorithms trained on more than 175 million electrocardiograms, the KAI 12L technology reportedly detects up to 35 cardiac determinations, including acute myocardial infarction.