Summary
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This multi-center routine clinical ( The Vestibular Schwannoma Multi-Center Routine Clinical (VS-MC-RC) dataset consists of 165contains longitudinal MRI scans of 160 patients with a single sporadic Vestibular Schwannoma (VS) who were referredfrom 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 pointsin the United Kingdom. For all patients either a T1-weighted or T2-weighted scan, or both, are available. The dataset provides binary segmentations of the VS for all scan sessions. The dataset comprises up to three time points for each patient resulting in a total of 446428 timepoints and 509487 3D-images .. These timepoints represent the first, central, and last MRI exams that the patients underwent. 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. Using this dataset, researchers can develop and validate methods, for example, for automatic surveillance of Vestibular Schwannoma, which work robustly on images acquired at different hospitals. Pre-processing The MRI images are provided in DICOM format. All images were defaced using automatic affine registration or manual landmark registration with BRAINSFit and the template and face mask provided in pydeface. Segmentations are provided in NIfTI format. Comparison to VS-SEG dataset Compared to the existingVestibular-Schwannoma-SEG (VS-SEG dataset on TCIA that was obtained from) dataset which was acquired with a standardized protocol for radiation treatment planning on 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.at a single site, the VS-MC-RC dataset aims to capture the diversity of MRI scans encountered in a routine clinical setting; it contains a wide range of scan protocols and was acquired on multiple scanners by different manufacturers. In addition, the tumour manifestation in scans of this dataset is more diverse because it includes tumours at early stages and post-operative tumour residuals rather than only tumours specifically selected for radiation therapy. Patient overlap with VS-SEG dataset 58 patients of the VS-MC-RC dataset were previously included in the VS-SEG dataset. These patients have a Patient ID that begins with “VS-SEG- “. Patient IDs of patients that are not part of the VS-SEG dataset begin with “VS-MC-RC-”. Please note that for most patients that are part of both datasets, the timepoints and MRI series included in one dataset are different from those included in the other dataset. However, 8 series are included in both datasets. These series are listed in the CSV file below. |
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).
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