AuntMinnie
FEBRUARY 28, 2025
Hybrid PET/MRI scans outperform either technique alone for identifying tumors in high-risk patients with suspected prostate cancer, according to research presented February 27 at ECR in Vienna. Our preliminary data confirmed the potential increase of sensitivity of the combined use of PSMA PET with MRI compared to each modality alone.
AuntMinnie
JULY 1, 2024
The team conducted a study that included data from 123 million 2022 Medicare Part B imaging claims. million (72.1%) were interpreted by radiologists. for CT 91% for MRI 76.6% Of these, 88.5 This overall percentage varied by modality, the group reported: 97.3% for digital x-ray 0.9% for nuclear medicine 33.9% Nuclear medicine 11.8%
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
AuntMinnie
APRIL 2, 2025
"Nonradiologist specialties, aside from cardiology, lack the rigorous and comprehensive training in imaging interpretation that occurs during the four years of a radiology residency program. By specialty, self-interpretation rates were 19.9% Ultrasound 52% Nuclear medicine 39.5% for primary care physicians; 75.7%
AuntMinnie
JANUARY 4, 2024
Additionally, it would shift time spent by radiologists on noninterpretive tasks of investigating and remedying incorrect orders (a secondary form of waste) to image interpretation, thereby decreasing workflow interruptions."
Diagnostic Imaging
NOVEMBER 20, 2024
In a recent interview, Richard Duszak, MD, discussed new study findings that showed over nine percent annual increases in ultrasound, CT and MRI interpretation by office-based non-physician practitioners (NPPs) between 2013 and 2022.
Vesta Teleradiology
SEPTEMBER 15, 2023
A study published in Current Problems in Diagnostic Radiology examines the increasing trend of NPPs taking on imaging interpretation responsibilities. The study analyzed data from over 3 million imaging claims between 2016 and 2020 and found that 3% were attributed to NPPs, with the highest rates in rural areas.
AuntMinnie
APRIL 11, 2025
It enables consistency in image interpretation across diverse systems, user environments, and AI models, helping standardize diagnostic outcomes even when different tools are in play. Perception-based IQA plays a critical role here by quantifying fidelity in ways that reflect both how radiologists see and how algorithms reason.
Expert insights. Personalized for you.
260 
Let's personalize your content