The Cancer Imaging Archive (TCIA) Public Access

Space shortcuts

Child pages
  • Segmentation and Classification of Grade I and II Meningiomas from Magnetic Resonance Imaging: An Open Annotated Dataset (Meningioma-SEG-CLASS)

Versions Compared

Old Version 6

changes.mady.by.user Geri Blake

Saved on

compared with

New Version Current

changes.mady.by.user Jeff Tobler

Saved on

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

Summary

Redirect
delay5
locationhttps://www.cancerimagingarchive.net/collection/meningioma-seg-class/

Excerpt

Image AddedThe 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 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 T1-CE and T2-FLAIR images will also be provided in DICOM format.

Acknowledgements

...

The hyperintense T1-contrast enhancing tumor and hyperintense T2-FLAIR and tumor were manually contoured on each MRI and reviewed by a central nervous system radiation oncologist specialist.




Localtab Group


Localtab
activetrue
titleData Access

Data Access

Tcia head license access

Data TypeDownload all or Query/FilterLicense

Images

, Segmentations,

and Radiation Therapy Structures (DICOM, 9.0 GB)



Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/133071972/Meningioma%20SEG%20Class%20February%202022%20manifest.tcia?api=v2



Tcia button generator
labelSearch
urlhttps://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=Meningioma-SEG-CLASS



(Download requires NBIA Data Retriever)

Tcia restricted license

Clinical data (CSV, 20 kB)


Tcia button generator
tcia-restricted-license
urlhttps://wiki.cancerimagingarchive.net/download/attachments/133071972/Meningioma-SEG-Class%20Clinical%20Data.xlsx?api=v2



Tcia cc by 4


Click the Versions tab for more info about data releases.



Localtab
titleDetailed Description

Detailed Description

Image Statistics

Radiology Image Statistics

Modalities

MR, RTSTRUCT

Number of Patients

96

Number of Studies

180

Number of Series

674

Number of Images

47520

Images Size (GB)9 GB



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

Tcia limited license policy

Info
titleData Citation

Vassantachart, A., Cao, Y., Shen, Z., Cheng, K., Gribble, M., Ye, J. C., Zada, G., Hurth, K., Mathew, A., Guzman, S., & Yang, W. (2023). Segmentation and Classification of Grade I and II Meningiomas from Magnetic Resonance Imaging: An Open Annotated Dataset (Meningioma-SEG-CLASS) (Version 1) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/0TKV-1A36


Info
titlePublication Citation

Vassantachart, A., Cao, Y., Gribble, M., Guzman, S., Ye, J. C., Hurth, K., Mathew, A., Zada, G., Fan, Z., Chang, E. L., & Yang, W. (2022). Automatic differentiation of Grade I and II meningiomas on magnetic resonance image using an asymmetric convolutional neural network. In Scientific Reports (Vol. 12, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1038/s41598-022-07859-0


Info
titleTCIA 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

Other Publications Using This Data

TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.


Localtab
titleVersions

Version 1 (Current): Updated 2023/

mm

02/

dd

13

Data TypeDownload all or Query/FilterLicense

Images, Segmentations, and Radiation Therapy Structures (DICOM, 9.0 GB)



Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/133071972/Meningioma%20SEG%20Class%20February%202022%20manifest.tcia?api=v2



tcia-button-generator
labelSearch
urlhttps://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=Meningioma-SEG-CLASS


(Download requires the NBIA Data Retriever)

Tcia restricted license


Clinical data (CSV)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/133071972/Meningioma-SEG-Class%20Clinical%20Data.xlsx?api=v2



tcia-cc-restrictedby-license4