Using CT to track lymph node distribution in colon cancer patients is more effective at identifying metastasis than conventional…
We scan the top radiology sources so you don’t have to.
From AI breakthroughs to imaging trends, we serve up real-time radiology insights.
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Elevated liver fat fraction helps predict MACE in diabetic patients
Elevated liver fat fraction could be a prognostic factor for major adverse cardiovascular events (MACE) in patients with type…
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China limits exports of rare earth elements, targets CT x-ray tubes
China’s Ministry of Commerce has announced export controls for several rare earth elements and launched investigations of imported…
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China limits exports of rare earth elements, targets CT x-ray tubes
China’s Ministry of Commerce has announced export controls for several rare earth elements and launched investigations of imported…
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China limits exports of rare earth elements, targets CT x-ray tubes
China’s Ministry of Commerce has announced export controls for several rare earth elements and launched investigations of imported…
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ALA report: LCS uptake more than tripled between 2023 and 2024
The ALA 2024 State of Lung Cancer report showed an increase in national lung cancer screening (LCS) rates from 4.5% in 2023 to…
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ALA report: LCS rates more than tripled between 2023 and 2024
The ALA 2024 State of Lung Cancer report showed an increase in national lung cancer screening (LCS) rates from 4.5% in 2023 to…
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Can use of other cancer screening tests boost uptake of LCS?
Could the use of preventive health tests such as breast and colorectal cancer screening boost uptake of lung cancer screening…
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Multimodality Deep Learning Radiomics Predicts Pathological Response After Neoadjuvant Chemoradiotherapy For Esophageal Squamous Cell Carcinoma
This study aimed to develop and validate a deep-learning radiomics model using CT, T2, and DWI images for predicting pathological complete response (pCR) in patients with esophageal squamous cell carcinoma (ESCC) undergoing neoadjuvant chemoradiotherapy (nCRT).