Summary
The study included 96 consecutive treatment naïve patients with intracranial meningiomas treated with surgical resection from 2010 to 2019. All patients had pre-operative T1, T1-CE, and T2-FLAIR MR images with subsequent subtotal or gross total resection of pathologically confirmed Grade I or grade II meningiomas. A neuropathology team reviewed histopathology, including two subspecialty trained neuropathologists and one neuropathology fellow. The meningioma grade was confirmed based on current classification guidelines, most recently described in the 2016 WHO Bluebook. Clinical information includes grade, subtype, type of surgery, tumor location, and atypical features. Meningioma labels on T1ce and T2-FLAIR images will also be provided in DICOM format.
Other researchers can use the data to build deep learning models to predict meningioma grade I and II based on diagnostic MR images (T1CE and T2-FLAIR).
Acknowledgements
We would like to acknowledge the individuals and institutions that have provided data for this collection:
Data Access
Data Type | Download all or Query/Filter | License |
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Images, Segmentations, and Radiation Therapy Structures/Doses/Plans (DICOM, XX.X GB) << latter two items only if DICOM SEG/RTSTRUCT/RTDOSE/PLAN exist >> | (Download requires NBIA Data Retriever) | |
Tissue Slide Images (SVS, XX.X GB) | (Download requires Aspera plugin) | |
Clinical data (CSV) |
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Detailed Description
Image Statistics | Radiology Image Statistics | Pathology Image Statistics |
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Modalities | MR | |
Number of Patients | 96 | |
Number of Studies | ||
Number of Series | ||
Number of Images | ||
Images Size (GB) |
Citations & Data Usage Policy
Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution should include references to the following citations:
Data Citation
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Publication Citation
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TCIA Citation
Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7
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Version X (Current): Updated yyyy/mm/dd
Data Type | Download all or Query/Filter | License |
---|---|---|
Images, Segmentations, and Radiation Therapy Structures/Doses/Plans (DICOM, XX.X GB) << latter two items only if DICOM SEG/RTSTRUCT/RTDOSE/PLAN exist >> | (Download requires the NBIA Data Retriever) | |
Tissue Slide Images (SVS, XX.X GB) | ||
Clinical data (CSV) |