TOM500: A Multi-Organ Annotated Orbital MRI Dataset for Thyroid Eye Disease
Abstract This study presents TOM500, a comprehensive multi-organ annotated orbital magnetic resonance imaging (MRI) dataset. It includes clinical data, T2-weighted MRI scans, and corresponding segmentations from 500 patients with thyroid eye disease (TED) during their initial visit. TED is a common...
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| Format: | Article |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04427-9 |
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| author | Haiyang Zhang Hoi Chi Chan Jiashuo Xu Mengda Jiang Xiaofeng Tao Huifang Zhou Xuefei Song Xianqun Fan |
| author_facet | Haiyang Zhang Hoi Chi Chan Jiashuo Xu Mengda Jiang Xiaofeng Tao Huifang Zhou Xuefei Song Xianqun Fan |
| author_sort | Haiyang Zhang |
| collection | DOAJ |
| description | Abstract This study presents TOM500, a comprehensive multi-organ annotated orbital magnetic resonance imaging (MRI) dataset. It includes clinical data, T2-weighted MRI scans, and corresponding segmentations from 500 patients with thyroid eye disease (TED) during their initial visit. TED is a common autoimmune disorder with distinct orbital MRI features. Segmentations of nine orbital structures, including the optic nerve, orbital fat, lacrimal gland, eyeball, and five extraocular muscles (superior rectus and levator palpebrae superioris complex, inferior rectus, medial rectus, lateral rectus, and superior oblique), were generated by three junior annotators and reviewed by an expert radiologist. The consistency of the segmentations was evaluated using the intraclass correlation coefficient. Clinical data, including sex, age, disease duration, and smoking status, are also provided for disease diagnosis and classification. TOM500, the largest publicly available orbital MRI dataset with expert annotations, is designed to facilitate the development of advanced computational tools for TED diagnosis, classification, and observation. |
| format | Article |
| id | doaj-art-41c434896cc24baf93faf2414ab79daf |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-41c434896cc24baf93faf2414ab79daf2025-01-19T12:10:05ZengNature PortfolioScientific Data2052-44632025-01-011211710.1038/s41597-025-04427-9TOM500: A Multi-Organ Annotated Orbital MRI Dataset for Thyroid Eye DiseaseHaiyang Zhang0Hoi Chi Chan1Jiashuo Xu2Mengda Jiang3Xiaofeng Tao4Huifang Zhou5Xuefei Song6Xianqun Fan7Department of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Radiology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Radiology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of MedicineAbstract This study presents TOM500, a comprehensive multi-organ annotated orbital magnetic resonance imaging (MRI) dataset. It includes clinical data, T2-weighted MRI scans, and corresponding segmentations from 500 patients with thyroid eye disease (TED) during their initial visit. TED is a common autoimmune disorder with distinct orbital MRI features. Segmentations of nine orbital structures, including the optic nerve, orbital fat, lacrimal gland, eyeball, and five extraocular muscles (superior rectus and levator palpebrae superioris complex, inferior rectus, medial rectus, lateral rectus, and superior oblique), were generated by three junior annotators and reviewed by an expert radiologist. The consistency of the segmentations was evaluated using the intraclass correlation coefficient. Clinical data, including sex, age, disease duration, and smoking status, are also provided for disease diagnosis and classification. TOM500, the largest publicly available orbital MRI dataset with expert annotations, is designed to facilitate the development of advanced computational tools for TED diagnosis, classification, and observation.https://doi.org/10.1038/s41597-025-04427-9 |
| spellingShingle | Haiyang Zhang Hoi Chi Chan Jiashuo Xu Mengda Jiang Xiaofeng Tao Huifang Zhou Xuefei Song Xianqun Fan TOM500: A Multi-Organ Annotated Orbital MRI Dataset for Thyroid Eye Disease Scientific Data |
| title | TOM500: A Multi-Organ Annotated Orbital MRI Dataset for Thyroid Eye Disease |
| title_full | TOM500: A Multi-Organ Annotated Orbital MRI Dataset for Thyroid Eye Disease |
| title_fullStr | TOM500: A Multi-Organ Annotated Orbital MRI Dataset for Thyroid Eye Disease |
| title_full_unstemmed | TOM500: A Multi-Organ Annotated Orbital MRI Dataset for Thyroid Eye Disease |
| title_short | TOM500: A Multi-Organ Annotated Orbital MRI Dataset for Thyroid Eye Disease |
| title_sort | tom500 a multi organ annotated orbital mri dataset for thyroid eye disease |
| url | https://doi.org/10.1038/s41597-025-04427-9 |
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