News

The imaging iodine contrast shortage is delaying procedures and causing rationing at hospitals. impact is it having on hospitals and the tough decisions that are being made to triage patients to determine if they will get a contrast CT scan or an interventional or surgical procedure requiring contrast. Photo by Dave Fornell
ChatGPT shows 'significant promise' in guiding contrast-related decisions

This could be especially helpful when timely clinical decisions relative to the use of a contrast agent need to be made.

globe
Actionable tips imaging departments can implement to reduce energy consumption

With the earth’s warmest March on record in 175 years barely in the rearview mirror, a team of radiology experts says medical imaging must step up its sustainability efforts. 

Advanced artificial intelligence (AI) models can evaluate cardiovascular risk in routine chest CT scans without contrast, according to new research published in Nature Communications.[1] In fact, the authors noted, the AI approach may be more effective at identifying issues than relying on guidance from radiologists. Representative non-contrast CT slices for two patients (left), with super-imposed segmentations (right). One artificial intelligence (AI) model was used to segment a cardiac mask.
AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

radiation dose advanced imaging computed tomography
IAEA: When selecting medical imaging equipment, don’t assume ‘new’ means ‘low dose’

Advanced imaging equipment using ionizing radiation enters the global market at the rate of one new technology every five years.

Over the Shoulder Shot CT Brain Scan Images
Blood test could help cut back on head CTs in patients with blunt trauma

Given the subjective nature of diagnosing concussions, it can be difficult to make the call on whether a patient needs imaging, but many doctors err on the side of caution.

Raquel Roman, chair of the Radiology Business Management Association (RBMA) Young Professionals Committee, and director of growth at Essential Radiology, explains how the group mentors the next generation leaders..
RBMA Young Professionals group helps groom next radiology management leaders

Raquel Roman, chair of the Radiology Business Management Association (RBMA) Young Professionals Committee, and director of growth at Essential Radiology, explains how the group mentors the next generation leaders.

MRI safety zone warning sign at entrance into an MRI imaging room at Northwestern Central DuPage Hospital.
Image Wisely rolls out new MRI safety course following slew of accidents

The course’s release follows numerous reported MRI accidents that have occurred in recent years, many that resulted in severe injury and some that were even fatal.

CT angiograms help providers 'cut to the chase' when triaging severe headaches in the ED

In the past, when initial CT scans didn’t uncover anything suspicious, patients were often referred for a lumbar puncture to check for blood in their spinal fluid. But those recommendations have started to change.

insurance payer payment insurer
'Economically unsustainable': How Medicare reimbursements hinder adoption of latest mammo technology

“Current reimbursement contributes to inequity because locating new technology in facilities that serve patients with public insurance, Medicare and Medicaid, is not economically sustainable," authors of a new paper in Radiology suggested.

Charles E. Kahn, Jr., MD, MS, editor of the the RSNA journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine. He discusses the need to validate artificial intelligence (AI) algorithms with your own patient population to determine if it is accurate for a specific institutions patients. He also explains how bias can be inadvertently added into a algorithm, and how the AI may take learning shortcuts. #AI
VIDEO: Assessing radiology AI and understanding programatic bias 

Charles E. Kahn, Jr., MD, MS, editor of the the RSNA  journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine, discusses the need to validate AI algorithms with your own patient population data.  

Radiologists are overlooking signs of pancreatic cancer on imaging more and more, new study indicates

The research revealed that 7.7% of patients screened for pancreatic cancer had their tumors missed on initial imaging exams but were diagnosed with cancer between three and 18 months later.  

Prostate Cancer
Prostate cancer detection boosted with computer assistance

The addition of computer-aided diagnostic generated MRI series could help radiologists identify clinically significant prostate cancer more frequently. 

Around the web

Cardiovascular Business
AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

Radiology Business
IAEA: When selecting medical imaging equipment, don’t assume ‘new’ means ‘low dose’

Advanced imaging equipment using ionizing radiation enters the global market at the rate of one new technology every five years.

Radiology Business
RBMA Young Professionals group helps groom next radiology management leaders

Raquel Roman, chair of the Radiology Business Management Association (RBMA) Young Professionals Committee, and director of growth at Essential Radiology, explains how the group mentors the next generation leaders.

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