The Cancer Imaging Archive (TCIA) Public Access

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Summary

Excerpt

This collection comprises 25 patients with Manufacturer CT at Veteran's Hospital before treatment and 2 follow up T1-weighted and FLAIR MRI along with accompanying digitized histopathology (H&E stained) images of corresponding biopsy specimens. Each slide was digitized at 10x magnification using an Aperio slide scanner resulting in a set of .svs images. Annotations of cancer presence on the pseudo-whole mount sections were made by an expert pathologist. Segmentation was performed with by Software (github, below) and compared to expert radiologist segmentation. co-registered the corresponding radiologic and histopathologic tissue sections to map disease extent onto the corresponding MRI scans. Co-clinical data that led to this therapy in humans is available within TCIA (here) as ThisOther Collection. For more information about the original aims of this trial please see: http://meeting.conference.org/abstract/35849.

Acknowledgements

DICOM Data was provided by Patna Madhavi, Sapna Patel, Anne Tsao.

Principal Investigator, PhD, University of City and Co-Investigator, MD, City Veteran's Hospital. This work was supported by NIH Grant (link). Pathology segmentations were performed by Helpful Expert, MD. 

...

includes 47 melanoma cases treated with anti-PD1 immunotherapy in 2016, each with pre-treatment and 1 or more imaging follow-up timepoints.


Localtab Group


Localtab
activetrue
titleData Access

Data

Access (Radiology)

Access 

C lick the  Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever . Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents Choosing the Download option will provide you with a file to launch the TCIA Download Manager to download the entire collection. If you want to browse or filter the data to select only specific scans/studies please use the Search option.

Data TypeDownload all or Query/Filter
Images (DICOM,  98.4 GB)

Image Modified  Image Modified


DICOM Metadata Digest (CSV)Image Removed

Click the Versions tab for more info about data releases.

Third Party Analyses of this Dataset

TCIA encourages the community to  publish your analyses of our datasets. Below is a list of such third party analyses published using this Collection:


Localtab
titleDetailed Description

Detailed Description

Collection Statistics

 


Modalities

CT, MR, PT

Modalities

Number of

Patients

Participants

47

Number of Studies

179

Number of Series

1,814

Number of Images

234,113

Image Size (GB)
4
98.4

Supporting Documentation

The data set is fully described in the following publications:



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

 This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License.  See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to help@cancerimagingarchive.net.

Please be sure to include the following citations in your work if you use this data set:
Public collection license
Info
titleData Citation

Madabhushi, APatnana, M., Patel, S., & FeldmanTsao, MA. (20162019). Anti-PD-1 Immunotherapy Melanoma Dataset [Data set]. The Cancer Imaging Archive. httpDOI: //doi.org/

Info
titlePublication Citation

 

10.7937/tcia.2019.1ae0qtcu


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, Journal of Digital Imaging, Volume 26, Number 6 , December, 2013, pp 1045-1057. (paper)DOI: 10.1007/s10278-013-9622-7

Other Publications Using This Data

TCIA maintains a list of publications which that leverage our data. At this time, we are not aware of any publications based on this data. If you have a publication you'd like to add, please contact the TCIA Helpdesk.

 



Localtab
titleVersions

Version 1 (Current) Updated

06

07-30-2018

Data TypeDownload all or Query/Filter
Images (DICOM,
4
98.4 GB)

Image Modified   Image Modified

 

 

(Requires the NBIA Data Retriever. )