A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities segmentation.

Journal: Scientific data
Published Date: Aug 20, 2025

Abstract

Multi-modality magnetic resonance imaging(MRI) data facilitate the early diagnosis, tumor segmentation, and disease staging in the management of nasopharyngeal carcinoma (NPC). The lack of publicly available, comprehensive datasets limits advancements in diagnosis, treatment planning, and the development of machine learning algorithms for NPC. Addressing this critical need, we introduce the first comprehensive NPC MRI dataset, encompassing MR axial imaging of 277 primary NPC patients. This dataset includes T1-weighted, T2-weighted, and contrast-enhanced T1-weighted sequences, totaling 831 scans. In addition to the corresponding clinical data, manually annotated and labeled segmentations by experienced radiologists offer high-quality data resources from untreated primary NPC.

Authors

  • Yin Li
    Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, People's Republic of China.
  • Qi Chen
    Department of Gastroenterology, Jining First People's Hospital, Jining, China.
  • Meige Li
    Department of Otorhinolaryngology, The First People's Hospital of Foshan, Foshan, China.
  • Liping Si
    Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, No. 1111 Xianxia Road, Changning District, Shanghai, 200336, China.
  • Yingwei Guo
    School of Electrical and Information Engineering, Northeast Petroleum University, Daqing, China.
  • Yu Xiong
    Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Qixing Wang
    Department of Otorhinolaryngology, The First People's Hospital of Foshan, Foshan, China.
  • Yang Qin
    Department of Biochemistry and Molecular Biology, West China School of Preclinical and Forensic Medicine, Sichuan University,Chengdu 610041,China.
  • Ling Xu
    Department of Respiratory Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600, YiShan Road, Shanghai, 200233, China. quanlingxu@163.com.
  • Patrick van der Smagt
    ELTE University, Budapest, Hungary.
  • Kai Wang
    Department of Rheumatology, The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China.
  • Jun Tang
    School of Electronics and Information Engineering, Anhui University, Hefei, China.
  • Nutan Chen
    Foundation Robotics Labs, Munich, Germany.

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