Summary
This multi-center routine clinical (MC-RC) dataset consists of 165 patients with a single sporadic Vestibular Schwannoma (VS) who were referred from 10 medical sites and consecutively seen at a single center. These routine clinical datasets are more diverse in terms of the tumor manifestation as well as the acquisition parameters. Using this dataset, researchers can develop and validate methods for automatic surveillance of Vestibular Schwannoma, which work robustly on images acquired at different hospitals.
Patients had multiple time points resulting in a total of 446 timepoints and 509 3D-images. Manual ground truth segmentations were obtained in an iterative process in which segmentations were: 1) produced or amended by a specialized company; and 2) reviewed by one of three trained radiologists; and 3) validated by an expert team. Compared to the existing Vestibular-Schwannoma-SEG dataset on TCIA that was obtained from a single scanner, this dataset was acquired from multiple scanners manufactured by different vendors. This dataset also provides a refined segmentation of intrameatal and extrameatal components of the VS.
Acknowledgements
We would like to acknowledge the individuals and institutions that have provided data for this collection:
This work was supported by Wellcome Trust (203145Z/16/Z, 203148/Z/16/Z, WT106882), EPSRC (NS/A000050/1, NS/A000049/1) and MRC (MC/PC/180520) funding. Additional funding was provided by Medtronic. TV is also supported by a Medtronic/Royal Academy of Engineering Research Chair (RCSRF1819/7/34).
Data Access
| 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 NBIA Data Retriever) | |
| Clinical data (CSV) |
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Detailed Description
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Number of Patients | 165 |
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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) | |
| Clinical data (CSV) |
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