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RSNA 2025: Page 10
Fibrotic ILD in sickle cell patients suggests disease progression
By
Kate Madden Yee
Fibrotic interstitial lung disease (ILD) in patients with sickle cell disease is a key indicator of future disease progression.
November 18, 2025
More targeted imaging protocols need to be developed for spine CTA
By
Kate Madden Yee
The heightened use of CT angiography (CTA) in cervical spine fracture patients comes with significant variability of protocols.
November 18, 2025
Ultralow-dose PCCT effectively evaluates emphysema
By
Kate Madden Yee
Researchers will describe how ultralow-dose photon-counting CT (PCCT) performs comparably to low-dose PCCT in evaluating emphysema.
November 18, 2025
CT flags women at high risk of heart disease via plaque quantification
By
Kate Madden Yee
The method can be especially effective for women with stable chest pain who might be missed by traditional heart health assessments
November 18, 2025
AI model identifies malignant lung nodules earlier and more accurately
By
Kate Madden Yee
AI, especially if using data beyond nodule size and growth, can identify malignant lung nodules earlier than conventional assessment.
November 18, 2025
Can AI predict major adverse cardiac events from chest CT studies?
By
Erik L. Ridley
An AI algorithm could use routine chest CT exams to predict risk of major adverse cardiac events, according to this presentation.
November 18, 2025
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Calcium volume a key driver of major adverse cardiac event prediction
By
Kate Madden Yee
Groups with high calcium volume, regardless of density, have higher rates of major adverse cardiac events, according to this session.
November 18, 2025
Can adding deep learning to CT improve pneumonia assessment?
By
Kate Madden Yee
Deep-learning image reconstruction with ultralow-dose chest CT shows promise as a scanning option for pneumonia patients.
November 18, 2025
Road to RSNA 2025: Digital X-Ray Preview
By
Will Morton
This year at the RSNA annual meeting, we see digital x-ray tread familiar paths but also the road less traveled.
November 17, 2025
Deep-learning model can help diagnose sacroiliitis
By
Will Morton
In this session, a deep-learning model will be presented that could help clinicians diagnose sacroiliitis from standard x-ray images.
November 17, 2025
Can expert recommendations improve utilization of x-rays?
By
Will Morton
This scientific session will present recommendations for the use of x-ray exams in 12 potentially low-yield anatomic sites.
November 17, 2025
DCR bests conventional chest x-ray for detecting lung cancer
By
Will Morton
Dynamic chest radiography (DCR) can improve the detection of lung cancer lesions, according to a study in this session.
November 17, 2025
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