Researchers utilized a machine learning algorithm to determine that a higher rate of change—rather than actual value of cancer antigen 125 (CA125)—is associated with abdominal recurrence of ovarian cancer. Findings may help identify patients most likely to benefit from imaging surveillance of the disease.
The brain activity of individuals questioning gender identity may resemble those of their desired gender, according to an article published May 22 by The Telegraph.
For patients without a breast cancer diagnosis, receiving second-opinion interpretations of breast imaging exams relieve anxiety while reducing patient morbidity and healthcare costs, according to a study published May 19 in the Journal of the American College of Radiology.
According to an ACR release, more than 220,000 people will be diagnosed with lung cancer in 2018 and nearly 160,000 will die from the disease. That exceeds all combined deaths from breast, colon and prostate cancer.
University College London Hospital (UCLH) and the Alan Turing Institute in London have entered a three-year partnership to allow artificial intelligence (AI) to perform a variety of clinical tasks otherwise done by nurses and physicians.
A team of scientists found therapeutic treatment using radiopharmaceutical I-131 mIBG can effectively mitigate symptoms of certain neuroendocrine tumors and resulted in improved prognosis for patients with symptomatic progression, radiographic response or stability and biochemical response.
Microscopic images of diamond particles with nitrogen-vacancy defects. Courtesy of UC Berkeley.
A new discovery involving diamonds may significantly cut costs related to medical imaging and drug-discovery devices, according to a team of researchers led by the U.S. Department of Energy and the University of California, Berkeley.
Ruth Carlos, MD, MS, will begin her new role in January 2019. She succeeds Bruce J. Hillman, MD, who founded the Journal of the American College of Radiology in 2004.
Microsoft will collaborate with Case Western Reserve University in Cleveland to improve the accuracy of MRI results in less time through an approach called "magnetic resonance fingerprinting."
A team of German researchers used PET/CT and modeling practices to create a new method to pattern and predict tumor response in radioligand therapy (RLT), which authors say is the first attempt to do so.
