Jeff Hall

Senior Editor, Diagnostic Imaging

Articles by Jeff Hall

In a video interview, Hong Song, M.D., Ph.D., discussed retrospective research, presented at the recent Society for Nuclear Medicine and Molecular Imaging (SNMMI) conference, that evaluated the combination of artificial intelligence (AI)-based software and the PSMA agent piflufolastat F 18 to help quantify prostate cancer lesions and associations with biochemical progression-free survival.

CMS Approves NTAP Reimbursement for AI-Powered EchoGo Heart Failure System

In what may represent the first CMS approval of a new technology add-on payment (NTAP) for an artificial intelligence (AI)-based heart failure detection platform, use of the EchoGo Heart Failure system will be eligible for up to $1,023.75 in NTAP reimbursement per acute hospital in-patient stay as of October 1, 2023.

Researchers Note Lack Of Benefit with AI in Women with Dense Breasts

In a study of over 1.300 women with dense breasts, the combination of mammography and ultrasound had a recall rate of 11.7 percent, a specificity rate of 89.1 percent and an accuracy rate of 89.2 percent in comparison to a 21.4 percent recall rate, 79.4 percent specificity and 79.5 percent accuracy for the combination of mammography, ultrasound, and artificial intelligence (AI).

Ultra-High Resolution Brain PET: A ‘Quantum Leap’ for Neuroradiology

In a recent interview at the SNMMI conference, Roger Lecomte, Ph.D., and Vincent Doyon discussed the advent of ultra-high resolution (UHR) brain positron emission tomography (PET), which reportedly offers double the spatial resolution of conventional PET and may facilitate earlier detection of Alzheimer’s disease and other conditions.

Can an Emerging System Have an Impact in Assessing Treatment Response for Prostate Cancer?

Examining the use of the Response Evaluation Criteria in Prostate-specific Membrane Antigen (PSMA) PET/CT (RECIP 1.0) model for assessing the treatment of metastatic castration-resistant prostate cancer, researchers found robust agreement between quantitative application of RECIP via tumor segmentation software and qualitative application of the model through reads by nuclear medicine physicians.