Abstract Objective: To evaluate the performance of GPT-5.5 Pro and DeepSeek-V4-Pro in automated breast cancer cTNM and AJCC anatomic staging from Chinese-language PET/CT reports. Methods: A curated test set of 298 pretreatment 18F-FDG PET/CT reports from routine clinical practice, obtained between February and December 2025 at our institution, was included. All reports had been verified against the corresponding imaging findings and screened to exclude errors or omissions.
