Ohio State University Wexner Medical Center acquires latest addition to SOMATOM go. CT platform, which addresses advanced clinical fields and applications

Using PET imaging in addition to conventional CT imaging for women with locally advanced cervical cancer may identify more detailed malignancies and change treatment plans, according to research published online Sept. 14 in JAMA Network Open.

An artificial intelligence (AI) algorithm created by NYU School of Medicine researchers distinguished between two forms of lung cancer with 97 percent accuracy, according to a study published in Nature Medicine.

The Society of Nuclear Medicine and Molecular Imaging (SNMMI) and the American Society of Nuclear Cardiology (ASNC) submitted a letter to BlueCross BlueShield (BCBS) of Tennessee urging an expansion of cardiac PET coverage.

Dual-energy (DE) CT iodine maps offer a slight benefit when paired with traditional CT angiography images in diagnosing pulmonary embolism (PE), reported researchers in a Sept. 11 Radiology study.

Roughly 30 U.S. senators and congressional representatives were sought to cosponsor the CT Colonography Screening for Colorectal Cancer Act of 2017—H.R. 1298—at a Capitol Hill briefing on Wednesday, Sept. 12. The meeting was sponsored by the American College of Radiology (ACR) and the Colorectal Cancer Alliance, according to an ACR press release.

Researchers have created a deep-learning model that can generate synthetic brain MRIs to help train neural networks, according to research published in ArXiv. The technique may provide reliable, shareable training data.

The third Nikon Imaging Center in the U.S. for collaborative microscopy imaging opened at the University of California, San Diego on Thursday, Sept. 13, according to a university press release. The center houses more than $2.5 million in imaging equipment, allowing researchers to work to develop new education programs.

Amyloid load (AβL) imaged in vivo using [18F]Florbetapir PET is a more sensitive biomarker for measuring the global amyloid (Aβ) burden compared to composite standardized uptake value ratio (SUVr), reported authors of a Sept. 6 Journal of Nuclear Medicine study.

An artificial intelligence (AI) system developed by Shinjini Kundu, PhD, a physician and medical researcher at the University of Pittsburgh Medical Center, could find patterns of developing diseases as much as three years earlier than imaging experts.