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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.

PURPOSE Accurate preoperative diagnosis of lymph node (LN) metastasis in esophageal squamous cell carcinoma (ESCC) is crucial for determining treatment strategies, including organ-sparing therapies. We aimed to develop and validate a deep learning (DL) model using rotational maximum-intensity projection (MIP) 18 F-FDG...

Hiroki Maruyama, K. Takanami, Eichi Takaya et al. · 0 citations
Aug 2026

OA03-RF01.03. Non-Cisplatin-Based Preoperative Chemotherapy for Cisplatin-Unfit Esophageal Cancer: A Multicenter Retrospective Study in Japan

Esophageal Cancer: Adjuvant and Neo-Adjuvant Therapies Although cisplatin-based neoadjuvant chemotherapy is the standard for resectable esophageal squamous cell carcinoma in Japan, some patients are unfit due to age, renal, or cardiac dysfunction. No established treatment option exists for cisplatin-unfit...

Y. Ishizuka, Toru Kadono, Akitoshi Hakoda et al. · 0 citations

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