Li Yin, Chen Qi, Li Meige, Si Liping, Guo Yingwei, Xiong Yu, Wang Qixing, Qin Yang, Xu Ling, Smagt Patrick van der, Wang Kai, Tang Jun, Chen Nutan
Department of Otorhinolaryngology, The First People's Hospital of Foshan, Foshan, China.
Department of Radiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Sci Data. 2025 Aug 20;12(1):1450. doi: 10.1038/s41597-025-05815-x.
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.
多模态磁共振成像(MRI)数据有助于鼻咽癌(NPC)管理中的早期诊断、肿瘤分割和疾病分期。缺乏公开可用的综合数据集限制了NPC诊断、治疗规划以及机器学习算法开发方面的进展。为满足这一关键需求,我们引入了首个综合NPC MRI数据集,涵盖277例原发性NPC患者的MR轴位成像。该数据集包括T1加权、T2加权和对比增强T1加权序列,共计831次扫描。除了相应的临床数据外,经验丰富的放射科医生手动标注和标记的分割提供了未经治疗的原发性NPC的高质量数据资源。