Using data from computed tomography (CT) images, researchers may be able to predict which lung cancer patients will respond to chemotherapy, according to a new study published in the journal Radiology: Artificial Intelligence.

Fonar Corp. reported publication of a chapter where the physician-author-researchers utilized the Fonar Upright Multi-Position MRI (magnetic resonance imaging) system. The title of their chapter is: Craniocervical Junction Syndrome: Anatomy of the Craniocervical and Atlantoaxial Junctions and the Effect of Misalignment on Cerebrospinal Fluid Flow.

Zuid-Oost Nederland Protonen Therapie Centrum (ZON-PTC), Maastricht, Netherlands, recently treated its first patient using the combination of the treatment planning system (TPS) RayStation from RaySearch in combination with the Mevion S250i Proton Therapy System with Hyperscan Pencil Beam Scanning.

Biologic age, a DNA-based estimate of a person’s age, is associated with future development of breast cancer, according to scientists at the National Institutes of Health. Biologic age was determined by measuring DNA methylation, a chemical modification to DNA that is part of the normal aging process. The study showed for every five years a woman’s biologic age was older than her chronologic or actual age, known as age acceleration, she had a 15 percent increase in her chance of developing breast cancer. The study was published online Feb. 22 in the Journal of the National Cancer Institute.

Late-breaking results confirm the HeartFlow FFRct (fractional flow reserve computed tomography) Analysis enables efficient identification of which patients, despite symptoms suggestive of coronary artery disease (CAD), have a low risk of adverse cardiovascular events and can safely avoid invasive testing out to one year. These results from the ADVANCE trial were presented as a late-breaking trial during the American College of Cardiology’s (ACC) 68th Annual Scientific Session, March 16-18 in New Orleans, and simultaneously published in the Journal of the American College of Cardiology (JACC): Cardiovascular Imaging.

A new study positron emission tomography (PET) scans has identified a biomarker that may accurately predict which patients with one type of HER2-positive breast cancer might best benefit from standalone HER2-targeted agents, without the need for standard chemotherapy. The study was conducted by researchers at the Johns Hopkins Kimmel Cancer Center in an effort to further individualize therapy and avoid over-treating patients.

Brain magnetic resonance imaging (MRI) without contrast agent is just as effective as the contrast-enhanced approach for monitoring disease progression in patients with multiple sclerosis (MS), according to a new study in the journal Radiology. The findings support the possibility that contrast enhancement can be omitted from routine follow-up scans.

Artificial intelligence (AI) company Bay Labs announced the presentation of two studies assessing performance of the company’s deep learning software for cardiovascular imaging. The first evaluated the software when used by medical professionals with no prior ultrasound experience to acquire diagnostic-quality echocardiograms, and the second evaluated the fully automated calculation of ejection fraction (EF) with accuracy and increased reproducibility. Results from these studies will be presented at the American College of Cardiology (ACC) 68th Annual Scientific Session, March 16-18 in New Orleans.