Summary
This collection contains data from the Children’s Oncology Group (COG) NCT00274937 ,"Radiation Therapy, Amifostine, and Chemotherapy in Treating Young Patients With Newly Diagnosed Nasopharyngeal Cancer". Principle Investigator: Carlos Rodriguez-Galindo,MD (Childrens Oncology Group). It was sponsored by NCI and performed by the Children's Oncology Group under study number ARAR0331. This phase III trial is studying how well radiation therapy, amifostine, and chemotherapy work in treating young patients with newly diagnosed nasopharyngeal cancer. Radiation therapy uses high-energy x-rays to kill tumor cells. Drugs, such as amifostine, may protect normal cells from the side effects of radiation therapy. Drugs used in chemotherapy, such as cisplatin and fluorouracil, work in different ways to stop the growth of tumor cells, either by killing the cells or by stopping them from dividing. Giving radiation therapy together with amifostine and chemotherapy may kill more tumor cells.Data Access
Note to curators! This macro is for collections that are restricted due to facial reconstruction possibility.
Note to curators! This macro is for collections that are restricted because of a PI's embargo request
Per the submitter's request, users must sign and submit a TCIA Restricted License Agreement to help@cancerimagingarchive.net before accessing certain data from this collection.
Note to curators! Only use the appropriate macro for your collection above, or the text below in the case of NCTN trials. It will need to be tailored with the correct NCT#.
This is a limited access data set. To request access please register an account on the NCTN Data Archive. After logging in, use the "Request Data" link in the left side menu. Follow the on screen instructions, and enter NCT00274937 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 Type | Download all or Query/Filter | License |
|---|---|---|
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.
Note to curators! Use this any time you are linking to NCI's IDC/GDC/PDC resources. The links below are examples and will need to be tailored to point to the specific dataset (see parameters in URLS).
Additional Resources for this Dataset
The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data.
- Imaging Data Commons (IDC) (Imaging Data)
- Proteomic Data Commons (PDC) (Proteomic & Clinical Data)
- Genomic Data Commons (GDC) (Genomic & Clinical Data)
Note to curators! The link below is an example for NCTN trials and will need to be tailored to the proper URL for the corresponding data on the NCTN Data Archive.
Additional Resources for this Dataset
The National Cancer Institute (NCI) has created a centralized, controlled-access database, called the NCTN/NCORP Data Archive, for storing and sharing datasets generated from clinical trials of the National Clinical Trials Network (NCTN) and the NCI Community Oncology Research Program (NCORP). Clinical data from the participants in this trial can be found at:
- NCTN/NCORP Data Archive (Clinical Data)
Note to curators! Below are examples for what to do with other external resources/links that don't fit into the above categories.
Additional Resources for this Dataset
The following external resources have been made available by the data submitters. These are not hosted or supported by TCIA, but may be useful to researchers utilizing this collection.
- Software / Code on Github
- Genomics data in DbGAP
- Genomics data in Gene Expression Omnibus
Detailed Description
Image Statistics | Radiology Image Statistics | Pathology Image Statistics |
|---|---|---|
Modalities | ||
Number of Patients | 108 | |
Number of Studies | ||
Number of Series | ||
Number of Images | ||
| Images Size (GB) |
<< Add any additional information that didn't fit or belong in the Summary section. >>
De-identification of DICOM dates
De-identification of dates for this dataset uses the DICOM Part 3.15 Annex E standard “Retain Longitudinal With Modified Dates Option” which allows dates to be retained as long as they are modified from the original date. TCIA implements this using a technique which de-identifies the dates while preserving the longitudinal relationship between them. Original dates will be first normalized to 01 January, 1960 and then offset relative to the date of registration for each patient. This normalized date system was chosen in order to make it obvious that the dates are not real, and to make it easy to quickly determine how much time has passed between the date of registration and the patients' related imaging studies.
For example, if the real date of a patient's registration was 03/27/2018 and the original imaging Study Date was 03/29/2018 then the "Days from registration" would be +2 and the anonymized TCIA Study Date would become 01/03/1960.
Insertion of computed "REGISTRATION"/Days offset from registration" value
In addition to modifying the actual date fields in the DICOM header, the "days from registration" values are calculated and stored in the DICOM tag (0012,0052) Longitudinal Temporal Offset from Event with the associated tag (0012,0053) Longitudinal Temporal Event Type set to “REGISTRATION”.
Note: If these DICOM tags are not present, DICOM tag (0012,0050) Clinical Trial Time Point ID with the associated tag (0012,0051) Clinical Trial Time Point Description provides this same information. This inconsistency is due to a change in how dates were handled in the first NCTN trials that were published on TCIA.
Citations & Data Usage Policy
Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution should include references to the following citations:
Data Citation
DOI goes here. Create using Datacite with information from Collection Approval form
Publication Citation
We ask on the proposal form if they have ONE traditional publication they'd like users to cite.
Acknowledgement
Required acknowledgements only (ex:The CPTAC program requests that publications using data from this program...). If they just want to thank someone, that goes in the Acknowledgement section underneath the Summary.
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 Type | Download all or Query/Filter | License |
|---|---|---|
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) |
<< One or two sentences about what you changed since last version. No note required for version 1. >>