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Yoshitaka Toyama

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Open access Sep 2026

Deep learning model for the prediction of lymph node metastasis in esophageal squamous cell carcinoma using MIP FDG-PET images: a retrospective validation study.

The authors' PET-based CNN model using rotational MIP images demonstrated comparable diagnostic accuracy and higher sensitivity for LN metastasis in ESCC than the conventional methods, highlighting its potential as a preoperative tool for optimizing treatment selection and minimizing understaging.

Hiroki Maruyama, K. Takanami, Eichi Takaya et al. · 0 citations

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