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.
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.
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 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.
New ultrasound guidelines can accurately identify pediatric patients who should undergo biopsy for thyroid cancer, according to recent research presented at the Society for Pediatric Radiology’s annual meeting in Nashville, Tennessee.
In a recent paper from consulting firm Deloitte, experts argue that evolving digital technology—notably artificial intelligence (AI)—has the potential to create jobs in many areas of healthcare, including diagnostic radiology.
On May 17, the Society of Nuclear Medicine and Molecular Imaging (SNMMI) announced the Value Initiative Industry Alliance—a collaboration among corporate community members that will help implement the organization’s Value Initiative and advance nuclear medicine.