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  • QIBA VolCT Group 1B Round 2 No Change Size Measurements (QIBA-VolCT-1B)

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Localtab Group


Localtab
activetrue
titleData Access

Data Access

Data TypeDownload all or Query/FilterLicense

Segmentations and Reports (DICOM, XX.X GB)


Tcia button generator



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labelSearch


(Download requires the NBIA Data Retriever)

Tcia cc by 4

Additional 8 Participants' DICOM not in RIDER Lung CT but rather in RIDER Pilot data (DICOM, XX.X GB)

(Download requires the NBIA Data Retriever)

Tcia cc by 4

Click the Versions tab for more info about data releases.

Collections Used in this Analysis
Below is a list of the Collections used in these analyses:

Please contact help@cancerimagingarchive.net  with any questions regarding usage.


Localtab
titleDetailed Description

Detailed Description

Image Statistics


Modalities

SR, SEG, PR

Number of Patients

32 or 40

Number of Studies


Number of Series

1,508 ?

Number of Images


Images Size (GB)~350 MB

For additional information please see https://qibawiki.rsna.org/index.php/VolCT_-_Group_1B

and the Release Notes from which the following may be specially useful: "Results are described in DICOM SR files, which in turn reference DICOM segmentation files that encode the region as a 3D raster, and presentation states that record the zoom, pan and window levels at the time of measurement" and "Readers are identified by number (from 1 through 5) ... and their actual identity recorded in the SR tree in observer context and worklist descriptions has been removed."




Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

Tcia license 4 international


Info
titleData Citation

DOI goes here. Create using Datacite with information from Collection Approval form

https://doi.org/10.7937/tcia.2020.1c3h-vp70  is in draft mode , that is, coming soon.


Info
titlePublication Citation

McNitt-Gray M. F., Hyun Kim G., Zhao B., Schwartz L.H., Clunie D., Cohen K., Petrick N., Fenimore C., Lu Z.Q.J., Buckler A.J. (2015) Determining the Variability of Lesion Size Measurements from CT Patient Data Sets Acquired under “No Change” Conditions. Translational Oncology 8(1):55-64. https://doi.org/10.1016/j.tranon.2015.01.001


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. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 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 2020/mm/dd

Data TypeDownload all or Query/Filter
Images (DICOM, xx.x GB)


Tcia button generator



Tcia button generator
labelSearch



(Requires NBIA Data Retriever.)



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