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AREN0533-TUMOR-ANNOTATIONS

The Cancer Imaging Archive

AREN0533-Tumor-Annotations | Annotations for Combination Chemotherapy With or Without Radiation Therapy in Treating Young Patients With Newly Diagnosed Stage III or Stage IV Wilms Tumor

DOI: 10.7937/WFCC-DA41 | Data Citation Required | Analysis Result

Cancer Types Location Subjects Related Collections Size Supporting Data Updated
Wilms Tumor Kidney 294 53.88GB Tumor segmentations, Seed points 2023/01/31

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)”.  This dataset was generated as part of an NCI project to augment TCIA datasets with annotations that will improve their value 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 were 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.
  5. To ensure a high standard of accuracy and data quality, each annotation was reviewed by a secondary reader.

At each timepoint:

  1. Volumetric segmentations, seed points and negative finding assessments (DICOM RTSTRUCT) were created.
  2. SNOMED-CT “Anatomic Region Sequence” and “Segmented Property Category Code Sequence” and codes were inserted for all segmented structures.
  3. Imaging time point codes were inserted to help identify each annotation in the context of the clinical trial assessment protocol.
    1. “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”.
    2. The Content Item in “Acquisition Context Sequence” was added containing “Time Point Type” using Concept Code Sequence (0040,A168) selected from:
      1. (255235001, SCT, “Pre-dose”)
      2. (262502001, SCT, “Post-chemotherapy”)

Important supplementary information and sample code

  1. A spreadsheet containing key details about the annotations is available in the Data Access section below.
  2. A Jupyter notebook demonstrating how to use the NBIA Data Retriever Command-Line Interface application and the REST API (with authentication) to access these data can be found in the Additional Resources section below.

Data Access

Version 1: Updated 2023/01/31

Title Data Type Format Access Points Subjects Studies Series Images License
AREN0533 Annotations -- Segmentations, Seed Points, and Negative Findings Assessments RTSTRUCT DICOM
Download requires NBIA Data Retriever
294 660 3,025 3,025 NCTN/NCORP Data Archive License (Without Collaborative Agreement)
AREN0533 Annotation Metadata Classification, Measurement CSV CC BY 4.0
Original AREN0533 Images used to create Segmentations and Seed Points CT DICOM
Download requires NBIA Data Retriever
293 607 778 95,137 NCTN/NCORP Data Archive License (Without Collaborative Agreement)
Original AREN0533 Images used to create Negative Assessment reports CT DICOM
Download requires NBIA Data Retriever
60 63 67 6,558 NCTN/NCORP Data Archive License (Without Collaborative Agreement)

Collections Used In This Analysis Result

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AREN0533
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Additional Resources For This Dataset

Citations & Data Usage Policy

Data Citation Required: Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution must include the following citation, including the Digital Object Identifier:

Data Citation

Rozenfeld, M., & Jordan, P. (2023). 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

Related Publications

Publications by the Dataset Authors

The authors recommended the following as the best source of additional information about this dataset:

No other publications were recommended by dataset authors.

Research Community Publications

TCIA maintains a list of publications that leveraged this dataset. If you have a manuscript you’d like to add please contact TCIA’s Helpdesk.

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 TCIA’s Helpdesk.