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Application of a Neural Network to Improve Nodal Staging Accuracy with 18F-FDG PET in Non-Small Cell Lung Cancer

Hubert Vesselle, PhD, MD, Eric Turcotte, MD, Linda Wiens, BS and David Haynor, MD, PhD

Division of Nuclear Medicine, University of Washington, Seattle, Washington



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FIGURE 1. 18F-FDG PET-based clinical and surgical staging and management of NSCLC.

 


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FIGURE 2. aNN diagram (scenario 10).

 


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FIGURE 3. Phase 2: summary of aNN protocol.

 


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FIGURE 4. aNN accuracy for predicting surgicopathologic N status. CI = confidence interval.

 


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FIGURE 5. Comparison of aNN and PET reader accuracy for each of 100 training sessions. The larger the frequency of accuracy, the larger the symbol.

 





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