Summary
This dataset contains image annotations derived from the NCI Clinical Trial "Combination Chemotherapy and Radiation Therapy in Treating Young Patients With Newly Diagnosed Hodgkin Lymphoma (AHOD0831)”. The key objective of this project is to generate a large and highly curated imaging dataset of pediatric Hodgkin lymphoma patients with annotations suitable for cancer researchers and AI developers.from proposal form (needs revision):
The annotation protocol consists of longitudinal volumetric segmentations and seed points of neoplastic lymph nodes and tumor. The annotation protocol closely aligns with the baseline and followup imaging design of the AHOD0831 clinical trial. The goal of the annotation protocol is to provide consistent and detailed therapy response assessment. The volumetric segmentations are provided in DICOM Segmentation format and seed points (kernels) are provided as POINT structures in DICOM RTSS format.
Annotation of imaging sequences was chosen with maximum clinical utility in mind. The neoplastic lymph nodes and areas of tumor were annotated on the attenuation correct PET as well as the post contrast axial series. If post contrast imaging was not avialble, the axial non contrast CT series was used. A maximum of 5 lesions were annotated per patient scan (timepoint); no more than 2 per organ. The same 5 lesions were annotated at each time point, unless a previously annotated lesion resolved. RECIST 1.1 and PERCIST principles were generally followed for lesion annotation. Bone lesions were included if other lesions were not present. Lesions were labeled separately. Seed points were automatically generated but were reviewed by a radiologist. SNOMED codes were attached to the annotations documents all locations involved.
Data Access
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 NCT00352534 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 NBIA Data Retriever) | |
| Tissue Slide Images (SVS, XX.X GB) | (Download requires Aspera plugin) | |
| Clinical data (CSV) |
Click the Versions tab for more info about data releases.
Additional Resources for this Dataset
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.
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
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:
- <add links to TCIA Analysis Result DOIs here>
Detailed Description
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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
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. (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.
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. >>