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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.
Key Words 18F-FAPI PET/CT 18F-FDG PET/CT Breast cancer Systemic staging Sensitivity Get full text access Log in, subscribe or purchase for full access. REFERENCES 1. Riedl, C.C. ∙ Slobod, E. ∙ Jochelson, M. ... Retrospective analysis of 18F-FDG PET/CT for staging asymptomatic breast cancer patients younger than 40 years J Nucl Med Offl Publ Soc Nucl Med. 2014; 55:1578-1583 2. Vogsen, M. ∙ Jensen, J.D. ∙ Christensen, I.Y. ...
Hani Kim1 Og-Geum Woo1 Ji Bin Kim1 Soyoung Yoon2 Jong-Shik Kim3 Woo Jun Sul4 Jee-Yeon Hwang2 Jae-Hoon Lee1* 1Pusan National University, Republic of Korea 2School of Medicine, Creighton University, United States 3Marine Industry Research Institute for East Sea Rim, Republic of Korea 4Chung-Ang University, Republic of Korea The final, formatted version of the article will be published soon.
Alice D’Onofrio Swantje Engelbrecht Tilman Läppchen† Axel Rominger Eleni Gourni* Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland Breast Cancer (BC) is the most common cancer worldwide and, despite the advancements made toward early diagnosis and novel treatments, there is an urgent need to reduce its mortality.
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