A recent JAMA study from University of Texas MD Anderson Cancer Center researchers found no correlation between intensity of post-treatment surveillance and detection of recurrence or survival in patients with stage I, II or III colorectal cancer (CRC).
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.
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.
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.
A team of German researchers used PET/CT and modeling practices to create a new method to model and predict tumor response in radioligand therapy (RLT), which authors say is the first attempt to do so.