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  • A Randomized Phase III Study Comparing Carboplatin/Paclitaxel or Carboplatin/Paclitaxel/Bevacizumab With or Without Concurrent Cetuximab in Patients With Advanced Non-small Cell Lung Cancer (S0819)

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Summary

This collection contains data from the National Cancer Institute Clinical Trial NCT00946712, "Carboplatin and Paclitaxel With or Without Bevacizumab and/or Cetuximab in Treating Patients With Stage IV or Recurrent Non-Small Cell Lung Cancer". It was sponsored by NCI's Alliance for Clinical Trials in Oncology under study number S0819. This randomized phase III trial studies carboplatin and paclitaxel to compare how well they work with or without bevacizumab and/or cetuximab in treating patients with stage IV or non-small cell lung cancer that has returned after a period of improvement (recurrent). Drugs used in chemotherapy, such as carboplatin and paclitaxel, work in different ways to stop the growth of tumor cells, either by killing the cells, by stopping them from dividing, or by stopping them from spreading. Bevacizumab may prevent the growth of new blood vessels that tumor needs to grow. Cetuximab may also stop cancer cells from growing by binding and interfering with a protein on the surface of the tumor cell that is needed for tumor growth. It is not yet known whether giving carboplatin and paclitaxel are more effective with or without bevacizumab and/or cetuximab in treating patients with non-small cell lung cancer.

Acknowledgements

We would like to acknowledge the individuals and institutions that have provided data for this collection:


Data Access 

This is a limited access data set. To request access please register an account on the NCTN Data Archive and use the "Request Data" link in the left side menu.  Follow the on screen instructions, and enter NCT00946712 when asked which trial you want to request.  In step 2 of the Create Request form, be sure to select “Imaging Data Requested”. Please contact NCINCTNDataArchive@mail.nih.gov for any questions about access requests.

Data TypeDownload all or Query/Filter

Images, Segmentations, and Radiation Therapy Structures/Doses/Plans (DICOM, XX.X GB)

<< latter two items only if DICOM SEG/RTSTRUCT/RTDOSE/PLAN exist >>

   

(Download requires the NBIA Data Retriever)

Tissue Slide Images (SVS, XX.X GB)
Clinical data (CSV)

Click the Versions tab for more info about data releases.

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

Detailed Description

Image Statistics


Modalities


Number of Patients

1299

Number of Studies


Number of Series


Number of Images


Images Size (GB)



Citations & Data Usage Policy

Users of this data must abide by the TCIA Data Usage Policy and the Creative Commons Attribution 4.0 International License under which it has been published. Attribution should include references to the following citations:

This is a limited access data set. You are not allowed to redistribute the data or use it for other purposes.  Requests from the NCTN/NCORP (how to request data?). See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to help@cancerimagingarchive.net.

Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work:

Data Citation

Pending, DOI goes here. 

Publication Citation

Pending

Acknowledgement

Only if they ask for special acknowledgments like funding sources, grant numbers, etc in their proposal.

TCIA 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.

Version X (Current): Updated yyyy/mm/dd

Data TypeDownload all or Query/Filter
Images (DICOM, xx.x GB)
Clinical Data (CSV)Link
Other (format)

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