Abstract #1711

CEST-Enhanced Dual TransUNet for Precise Segmentation of Nasopharyngeal Carcinoma

Zou Liyan¹, Guo Cai², Chen yingying³, Yang Qian³, Cui Wei⁴, Li Jianzhon², and Liu Zhou⁵

¹Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 113 Baohe Avenue, 518116, Shenzhen, China, Shenzhen, China, ²School of Computer and Information Engineering, Hanshan Normal University, Chaozhou, China, Chaozhou, China, ³Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 113 Baohe Avenue, 518116, Shenzhen, China, ShenZhen, China, ⁴GE Healthcare, MR Research China, Beijing, China, Beijing, China, ⁵Department of Radiology,National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital，Chinese Academy of Medical Sciences and Peking Union Medical College，Shenzhen，518116， China, ShenZhen, China

Synopsis

Keywords: fMRI Analysis, CEST / APT / NOE

Motivation: Accurate segmentation of nasopharyngeal carcinoma (NPC) is essential in radiotherapy planning to optimize treatment efficacy and minimize harm to surrounding healthy tissues.

Goal(s): This research aimed to enhance NPC segmentation accuracy by integrating chemical exchange saturation transfer (CEST) imaging with anatomical imaging.

Approach: The study leveraged the intrinsic differences in the CEST effect between carcinoma and adjacent tissues to improve segmentation on anatomical images.

Results: The incorporation of CEST imaging significantly enhanced segmentation performance, demonstrating its potential as a valuable tool in radiotherapy planning for NPC.

Impact: The deep-learning model effectively utilized CEST contrast for precise NPC segmentation, enhancing radiotherapy planning by accurately targeting carcinoma and preserving healthy tissue, while advancing CEST imaging's role in clinical oncology.

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