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Catch up on a variety of new FDA clearances in radiology from the past week.

Catch up on the top radiology content of the past week.

While researchers saw no significant difference in metastasis-free survival with the use of perioperative apalutamide in patients undergoing radical prostatectomy based on conventional imaging alone, the addition of PSMA PET imaging revealed a 20 percent higher likelihood of metastasis-free survival with adjunctive apalutamide.

The MIM Contour ProtegeAI+ 2.0 software reportedly offers new AI-powered contouring models for brain MRIs and pelvic CTs.

In comparison to short-axial field of view PET/CT scanners, a total body PET/CT imaging platform with a long axis field of view detected more lesions in 68 percent of patients while reducing scan times by 83 percent, according to new research presented at the SNMMI conference.

In a recent interview, Phillip Kuo, MD, discussed new comparative multicenter prospective research, presented at the SNMMI conference, examining the urinary radioactivity of two PSMA PET radiotracers 18F-piflufolastat and 18F-flotufolastat.

Prior vaccination for prostate cancer-specific antigens was associated with more than double the rate of two-year overall survival in patients with mCRPC who were treated with 177Lu-PSMA-617, according to new research presented at the SNMMI conference.

Preliminary research findings, presented at the SNMMI conference, suggest that the alpha-emitting radioconjugate ATNM-400 may be a viable alternative for treating PCa that is resistant to androgen receptor pathway inhibitors (ARPIs).

Reportedly trained on thousands of cardiac ultrasound images, the Ejection Fraction (EF) AI tool provides automated measurement of left ventricular ejection fraction (LVEF) in seconds.

The AI-powered Elevate Plus reportedly facilitates standardization of routine ultrasound, improves scan time and bolsters image quality.

Emphasizing the capability to evaluate the spatiotemporal distribution of PET radiotracers, the MIM KineticID software may provide greater quantitative insights into oncologic, cardiovascular and neurological disease management.

For patients undergoing myocardial perfusion PET/CT, a deep learning model demonstrated greater than 83 percent AUCs for classifying those with low- and high-risk coronary artery calcium (CAC) burden, according to new research presented at the SNMMI conference.