Vestibular-Schwannoma-SEG
Segmentation of Vestibular Schwannoma from Magnetic Resonance Imaging: An Open Annotated Dataset and Baseline Algorithm
Gamma Knife planning MRI (contrast-enhanced T1 and high-resolution T2) of 242 patients with a unilateral vestibular schwannoma from one London centre, with manual tumour and cochlea contours, RT dose, plan and structure files and T1-T2 registration matrices.
Overview
Vestibular-Schwannoma-SEG holds the radiosurgery planning MRI of 242 adults with a single unilateral vestibular schwannoma, treated with Gamma Knife stereotactic radiosurgery at the Queen Square Radiosurgery Centre in London between October 2012 and January 2018. It was released on The Cancer Imaging Archive by a King's College London and UCL group as the training data of their published 2.5D attention U-Net, and is used to develop and test automatic tumour segmentation and volumetry. The radiotherapy objects also support organ-at-risk contouring and dose planning.
Composition
Each patient has one session with a contrast-enhanced T1-weighted scan and a high-resolution T2-weighted scan, plus the RT structure set, RT plan and RT dose for each of the two images, giving 1,936 DICOM series and 48,582 images. Patients are 147 women and 95 men with a median age of 56 (range 24 to 84). Forty-nine had prior surgery for the tumour. Median tumour volume is 1.36 cm³. Version 2 added ITK affine matrices for T1-T2 co-registration and the original contour points as JSON. The paper's code splits the cohort at random into 176 training, 20 tuning and 46 test patients.
Acquisition
Scans were acquired on the day of, or shortly before, treatment with the head fixed in a Leksell stereotactic frame, whose fiducials drive the T1-T2 registration. The paper states a Siemens Avanto 1.5 T with a single-channel head coil, an MPRAGE-type T1 at 0.4 mm in-plane resolution and a 3D CISS T2 at about 0.5 mm in-plane, slices 1.0 to 1.5 mm. Faces were masked with a de-facing algorithm.
Annotations
The tumour, and for some patients organs at risk such as the cochlea and brainstem, were contoured slice by slice in Leksell GammaPlan in consensus by the treating neurosurgeon, neuroradiologist and physicist. The tumour was usually drawn on T1 and refined on T2; the cochlea usually on T2. The RTSTRUCT contours are interpolated by GammaPlan, while the JSON files keep the original, uninterpolated contours.
Known limitations
- Single centre; all scans follow planning protocols, not routine surveillance MRI.
- Rasterising the interpolated RTSTRUCT contours can drop the top and bottom tumour slices.
- Sources disagree on details: the paper names only the Avanto 1.5 T and CISS, the collection page also mentions FIESTA, and the series metadata lists five patients with TrioTim or Prisma_fit model names. The exclusion counts also differ between the paper and the collection page.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 242 subjects.
Sex
- Female 147 61%
- Male 95 39%
Age
mean 55.5± 12.7 · range 24 to 84Contrast combinations
How many subjects have exactly each set of contrasts.
| T1w_ce | T2w | Subjects with exactly this set |
|---|---|---|
242 |
Modality
scans
- MRI 484 25%
Contrast / sequence
subjects, values can overlap
- T1-weighted, contrast enhanced 242 100%
- T2-weighted 242 100%
Condition
subjects, values can overlap
- Vestibular schwannoma 242 100%
Scanner vendor
subjects
- Siemens Healthineers 242 100%
Split
subjects
- Training 176 73%
- Test 46 19%
- Validation 20 8%
License and access
Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer
Download without an account
DICOM images and RT objects via the TCIA Data Retriever; registration matrices, JSON contours and the directory name mapping as direct downloads. Scripts to convert the data to NIfTI are at https://github.com/KCL-BMEIS/VS_Seg.
Creative Commons Attribution 4.0 International
Use, share and adapt the data for any purpose, including commercial use, as long as you credit the creators.
Every item on the TCIA collection page is listed under CC BY 4.0. TCIA also asks users to follow its Data Usage Policy and Restrictions and to cite the dataset DOI.
What you can do
- Yes
- Yes
- Yes
- Yes
What you can share
- Yes
- Yes
- Yes
What you must do
- Yes
- Share alike No
- No
- No
- Manuscript review No
- Release code No
- Return results No
- Delete after use No
Limits
- No
- Location limits No
Citation
Shapey J, Kujawa A, Dorent R, et al. Segmentation of vestibular schwannoma from MRI, an open annotated dataset and baseline algorithm. Scientific Data 8, 286 (2021). https://doi.org/10.1038/s41597-021-01064-w. Data: Shapey J, Kujawa A, Dorent R, et al. (2021). Segmentation of Vestibular Schwannoma from Magnetic Resonance Imaging: An Open Annotated Dataset and Baseline Algorithm (version 2) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.9YTJ-5Q73
All numbers
Every number on this page, as stored in stats.csv, with its source.
| Measure | Breakdown | Value | Source |
|---|---|---|---|
| Subjects | total consecutive patients treated with Gamma Knife radiosurgery | 242 | shapey2021 Methods, Data overview |
| Subjects | condition=vestibular_schwannoma single unilateral sporadic vestibular schwannoma | 242 | shapey2021 Methods, Data overview |
| Studies | total one planning MRI session per patient | 242 | tcia-vestibular-schwannoma-seg Data Access (Version 2) |
| Scans | total DICOM series, including RTDOSE, RTSTRUCT and RTPLAN objects | 1,936 | tcia-vestibular-schwannoma-seg Data Access (Version 2) |
| Images | total DICOM image files | 48,582 | tcia-vestibular-schwannoma-seg Data Access (Version 2) |
| Scans | modality=MR MR image sets | 484 | shapey2021 Methods, Data overview |
| Subjects | sex=female | 147 | shapey2021 Methods, Data overview |
| Subjects | sex=male | 95 | shapey2021 Methods, Data overview |
| Median age | total | 56 | shapey2021 Methods, Data overview |
| Minimum age | total | 24 | shapey2021 Methods, Data overview |
| Maximum age | total | 84 | shapey2021 Methods, Data overview |
| Mean age | total | 55.5 | tcia-vestibular-schwannoma-seg-digest Patient ID, Patient Age |
| Age SD | total | 12.7 | tcia-vestibular-schwannoma-seg-digest Patient ID, Patient Age |
| Subjects | age=20-29 | 6 | tcia-vestibular-schwannoma-seg-digest Patient ID, Patient Age |
| Subjects | age=30-39 | 27 | tcia-vestibular-schwannoma-seg-digest Patient ID, Patient Age |
| Subjects | age=40-49 | 38 | tcia-vestibular-schwannoma-seg-digest Patient ID, Patient Age |
| Subjects | age=50-59 | 72 | tcia-vestibular-schwannoma-seg-digest Patient ID, Patient Age |
| Subjects | age=60-69 | 68 | tcia-vestibular-schwannoma-seg-digest Patient ID, Patient Age |
| Subjects | age=70-79 | 27 | tcia-vestibular-schwannoma-seg-digest Patient ID, Patient Age |
| Subjects | age=80+ | 4 | tcia-vestibular-schwannoma-seg-digest Patient ID, Patient Age |
| Subjects | contrast=T1w_ce | 242 | shapey2021 Methods, Data overview |
| Subjects | contrast=T2w high-resolution T2 (3D CISS) | 242 | shapey2021 Methods, Data overview |
| Subjects | contrast_set=T1w_ce+T2w | 242 | shapey2021 Methods, Data overview |
| Scans | contrast=T1w_ce | 242 | tcia-vestibular-schwannoma-seg-digest Modality, Series Description |
| Scans | contrast=T2w | 242 | tcia-vestibular-schwannoma-seg-digest Modality, Series Description |
| Subjects | vendor=siemens | 242 | tcia-vestibular-schwannoma-seg-digest Patient ID, Modality, Manufacturer |
| Subjects | split=train random split used for the released baseline algorithm | 176 | shapey2021 Code availability |
| Subjects | split=validation hyperparameter tuning set of the baseline algorithm | 20 | shapey2021 Code availability |
| Subjects | split=test test set of the baseline algorithm | 46 | shapey2021 Code availability |
Sources
The keys used in the table above.
- shapey2021 Shapey et al. 2021, Scientific Data 8, 286 paper
- tcia-vestibular-schwannoma-seg TCIA Vestibular-Schwannoma-SEG collection page (version 2, updated 2021/03/17) website
- tcia-vestibular-schwannoma-seg-digest TCIA series metadata digest for Vestibular-Schwannoma-SEG (open download, CC BY 4.0), one row per DICOM series computed