Medical Imaging

Physicians utilize medical imaging to see inside the body to diagnose and treat patients. This includes computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, fluoroscopy, angiography,  and the nuclear imaging modalities of PET and SPECT. 

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Collaborative bolsters prostate MRI quality, with 1 site realizing $559,000 in reimbursement gains

Some of the most commonly deployed interventions included protocol adjustments, standardized patient prep instructions and personnel training. 

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Siemens Healthineers inks data sharing deal with Blue Earth to bolster development of prostate cancer AI

Blue Earth will be sharing anonymized clinical data from its Phase 3 Lighthouse trial involving the use of PET imaging agent Posluma.

How beneficial is MR-directed breast ultrasound in reducing biopsies?

A team of experts determined that correlating masses initially detected on MRI are significantly more likely to result in a cancer diagnosis than other common findings. 

Financial data showing growing revenue

RadNet sees quarterly revenue climb to ‘record’ $432M with double-digit growth across multiple modalities

Comparing only imaging centers that operated both quarters, MRI volumes increased 10% compared to Q1 of 2023 while PET/CT was up more than 15%. 

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Radiologists meet with CMS to press for coverage of crucial CT screening exam

Staffers with the Centers for Medicare & Medicaid Services were "attentive to the discussion and requested supporting documentation," ACR reported. 

Samsung

Samsung to acquire ultrasound artificial intelligence firm Sonio for more than $92M

Founded in 2020, the Paris-based firm offers products to aid physicians in assessing and documenting OB/GYN scans. 

Whole-body maximum-intensity projections over time after [68Ga]Ga-DPI-4452 administration.

New PET agent offers 'exceptional' imaging of kidney cancer

The agent was found to be better than standard CT imaging for patients with clear cell renal cell cancer.

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Point-based risk prediction model reduces prostate biopsies by up to 20%

The model incorporates specific data from MRI exams with patient risk factors to predict whether a person is likely to develop clinically significant prostate cancer.