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    Imaging screenings for breast, colon and lung cancers not reaching patients with most need

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    • Radiologists around the country are working to remove the barriers to equitable screening and to educate both patients and health care providers on the value of risk assessment and early detection for breast, colorectal and lung cancer. https://t.co/v0MeZcj7Jc #CancerImaging https://t.co/RKVrpCzebQ

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    Password Changed Successfully Your password has been changed Can’t sign in? Forgot your password? Enter your email address below and we will send you the reset instructions If the address matches an existing account you will…

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    Tool Has Potential to Detect Smaller Cancers Earlier  The researchers developed the tool with an internal test set consisting of 546 patients with pancreatic cancer and 733 control participants. The tool achieved 90% sensitivity and 96% specificity in the internal test set. Validation followed with a set of 1,473 individual CT exams from institutions throughout Taiwan. The tool achieved 90%…

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    SectionsClinical ResearchOpen AccessImaging Glioblastoma Metabolism by Using Hyperpolarized [1-13C]Pyruvate Demonstrates Heterogeneity in Lactate Labeling: A Proof of Principle Study nr oi Fulvio Zaccagna, Mary A. McLean, James T. Grist, Joshua Kaggie, Richard Mair, Frank Riemer, Ramona Woitek, Andrew B. Gill, Surrin Deen, Charlie J. Daniels, Stephan…

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    SectionsClinical ResearchOpen AccessImaging Glioblastoma Metabolism by Using Hyperpolarized [1-13C]Pyruvate Demonstrates Heterogeneity in Lactate Labeling: A Proof of Principle Study nr oi Fulvio Zaccagna, Mary A. McLean, James T. Grist, Joshua Kaggie, Richard Mair, Frank Riemer, Ramona Woitek, Andrew B. Gill, Surrin Deen, Charlie J. Daniels, Stephan…

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    SectionsClinical ResearchInterobserver Variability in CT-based Morphologic Tumor Response Assessment of Colorectal Liver Metastases gi ct oi Nina J. Wesdorp, Ruby Kemna, Karen Bolhuis, Jan H. T. M. van Waesberghe, Irene M. G. C. Nota, Femke Struik, Ikrame Oulad Abdennabi, Saffire S. K. S. Phoa, Susan van Dieren, Martinus J. van Amerongen, Thiery Chapelle, Cornelis H. C….

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    Artificial intelligence (AI) could make cancer imaging faster, more accurate, and more informative. But is it ready for everyday use in the clinic?

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