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Summary

This dataset contains image annotations derived from the NCI Clinical Trial "Combination Chemotherapy With or Without Radiation Therapy in Treating Young Patients With Newly Diagnosed Stage III or Stage IV Wilms Tumor (AREN0533)”.  The key objective of this project is to generate a large and highly curated imaging dataset of pediatric Wilms tumor patients with annotations suitable for cancer researchers and AI developers.

Annotation Protocol

For each patient, every DICOM Study and DICOM Series was reviewed to identify and annotate the clinically relevant time points and sequences. In a typical patient the following time points will be annotated:

  1. Pre-treatment CT chest and abdomen
  2. CT chest and/or CT abdomen at 6 weeks
  3. Possible CT abdomen at 12 weeks. 

In a typical patient the following annotation rules were followed:

  1. The primary renal tumor(s) were annotated on post contrast axial series. Normal renal parenchyma were excluded. 
  2. 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. 
  3. RECIST 1.1 principles were generally followed for lesion annotation, however if <5 lesions measuring >1 cm were present, then smaller lesions were annotated, again up to 2 lesions per organ or 5 lesions per patient scan.
  4. Bone lesions were included if other lesions were not present. 

At each timepoint volumetric segmentations, seed points and negative finding assessments (DICOM RTSTRUCT) were created.  SNOMED-CT “Anatomic Region Sequence” and “Segmented Property Category Code Sequence” and codes were inserted for all segmented structures.  Imaging time point codes were inserted to help identify each annotation in the context of the clinical trial assessment protocol.   “Clinical Trial Time Point ID” was used to encode time point type using one of the following strings as applicable: “pre-dose” or “post-chemotherapy”.  The Content Item in “Acquisition Context Sequence” was added containing "Time Point Type" using Concept Code Sequence (0040,A168) selected from:

  • (255235001, SCT, “Pre-dose”)
  • (262502001, SCT, "Post-chemotherapy")
  • (262502001, SCT, "Post-chemotherapy")

Important supplementary information and sample code

  1. A spreadsheet containing a variety of useful metadata about the annotations is available in the Data Access section below.
  2. Important information about how to interpret the DICOM annotation data can be found on the Detailed Description section below.  It includes information about specific tags which document where the tumor was found, whether it was enhancing/non-enhancing, which study time point the annotation relates to, details for lesion tracking across time points, etc.
  3. A Jupyter notebook demonstrating how to use the NBIA Data Retriever Command-Line Interface application and our REST API (with authentication) to access these data can be found in the Additional Resources section below.



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 NCT00379340 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/FilterLicense

AREN0533 Annotations -- Segmentations, Seed Points, and Negative Findings Assessments (DICOM, 0.1 GB)


   

(Download requires NBIA Data Retriever)

AREN0533 Annotation Metadata (CSV)
Original AREN0533 Images used to create Segmentations and Seed Points (DICOM,  XXX GB)

 

(Download requires NBIA Data Retriever)

Original AREN0533 Images used to create Negative Assessment reports (DICOM, XXX GB)

 

(Download requires NBIA Data Retriever)

Click the Versions tab for more info about data releases.

Additional Resources

Collections Used in this Third Party Analysis

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

Detailed Description

Image Statistics


Modalities

RTSTRUCT

Number of Patients

294

Number of Studies

660

Number of Series

3031

Number of Images

3031

Images Size (GB)

Important information contained in the DICOM headers:

  1. Anatomic Region Sequence (0x0008, 0x2218) was inserted containing CNS Segmentation Types as defined in: https://dicom.nema.org/medical/dicom/current/output/chtml/part16/sect_CID_7153.html. In cases where tumor spans multiple regions, multiple location codes were inserted. For example, if the tumor is centered in the parietal lobe, but also involves the frontal and temporal lobes, anatomical codes for all three locations were attached to the structure.
  2. Segmented Property Category Code Sequence (0x0062,0x0003) was inserted into DICOM SEG objects containing one of the following codes:
    • (NCIt, C113842, "Enhancing Lesion")
    • (NCIt, C81175, "Non-Enhancing Lesion")
    • (SNOMED-CT, 14799000, "Neoplasm, Secondary")
    • (SNOMED-CT, 79654002, "Edema")
  3. Tracking ID (0x0062,0x0020) and Tracking UID (0x0062,0x0021) tags were inserted for each segmented structure to enable longitudinal lesion tracking.
  4. A study time point description was inserted into the Clinical Trial Time Point ID (0x0012,0x0050) attribute to help identify each annotation in the context of the clinical trial assessment protocol. The time point description contains one of the following strings: pre-operative, post-operative, post-radiation, post-chemotherapy, or recurrence. Additionally, a Concept Name Code Sequence (0x0040, 0xA043) and Concept Code Sequence (0x0040,0xA168) were added to Acquisition Context Sequence (0x0040, 0x0555).The former defines a Time Point Type concept and latter is populated with one of the following concepts:
    • (SNOMED-CT, 262068006, "Pre-operative")
    • (SNOMED-CT, 262061000, "Post-operative")
    • (SNOMED-CT, 264908009, "Post-radiation")
    • (SNOMED-CT, 262502001, "Post-chemotherapy")
    • (SNOMED-CT, 25173007, "Recurrent tumor (finding)")
  5. For reviewed studies with no radiologic findings, a "negative" DICOM SEG and/or RTSS file are provided. These files contain no segmentation or contour data, but still contain pertinent metadata in Clinical Trial Time Point ID, Acquisition Context Sequence, Anatomic Region Sequence, and Segmented Property Category Code Sequence. The primary motivation for providing these annotations is to capture the information that no radiologic findings (e.g. progression or new metastatic disease) were found during review.

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

Rozenfeld, M., & Jordan, P. (2022). Annotations for Combination Chemotherapy With or Without Radiation Therapy in Treating Young Patients With Newly Diagnosed Stage III or Stage IV Wilms Tumor (AREN0533-Tumor-Annotations) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/WFCC-DA41

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 TypeDownload all or Query/FilterLicense

AREN0533 Annotations -- Segmentations, Seed Points, and Negative Findings Assessments (DICOM, XX.X GB)

    (Download requires the NBIA Data Retriever)

AREN0533 Annotation Metadata (CSV)
Original AREN0533 Images used to create Segmentations and Seed Points (DICOM,  XXX GB)
Original AREN0533 Images used to create Negative Assessment reports (DICOM, XXX GB)

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