The Cancer Imaging Archive

CPTAC-HNSCC-Tumor-Annotations | Annotations for The Clinical Proteomic Tumor Analysis Consortium Head and Neck Squamous Cell Carcinoma Collection

DOI: 10.7937/PFEC-T641 | Data Citation Required | 685 Views | Analysis Result

This dataset contains image annotations derived from “The Clinical Proteomic Tumor Analysis Consortium Head and Neck Squamous Cell Carcinoma Collection (CPTAC-HNSCC)”.  This dataset was generated as part of a National Cancer Institute project to augment images from The Cancer Imaging Archive with tumor annotations that will improve their value for cancer researchers and artificial intelligence experts.

Annotation Protocol

For each patient, all scans were reviewed to identify and annotate the clinically relevant time points and sequences/series. Scans were initially annotated by an international team of radiologists holding MBBS degrees or higher, which were then reviewed by US-based board-certified radiologists to ensure accuracy. In a typical patient all available time points were annotated. The following annotation rules were followed:

1. PERCIST criteria was followed for PET imaging. Specifically, the lesions estimated to have the most elevated SUVmax were annotated.
2. RECIST 1.1 was otherwise generally followed for MR and CT imaging. 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. Lymph nodes were annotated if >1 cm in short axis. Other lesions were annotated if >1 cm. The primary tumor was still annotated if < 1 cm.
3. Three-dimensional segmentations of lesions were created in the axial plane. If no axial plane was available, lesions were annotated in the coronal plane.
4. MRIs were annotated using the T1-weighted axial post contrast sequence.
5. CTs were annotated using all axial post contrast series.
6. PET/CTs were annotated on the CT and attenuation corrected PET images, unless there was a diagnostic CT from the same time point, in which case the CT portion of the PET/CT was not annotated.
7. Lesions were labeled separately.
8. Seed points were automatically generated, but reviewed by a radiologist.
9. A “negative” annotation was created for any exam without findings.

At each time point:

1. Volume calculations were performed for each segmented structure.  These calculations are provided in the Annotation Metadata CSV.
2. A seed point (kernel) was created for each segmented structure. The seed points for each segmentation are provided in a separate DICOM RTSTRUCT file.
3. SNOMED-CT “Anatomic Region Sequence” and “Segmented Property Category Code Sequence” and codes were inserted for all segmented structures.
4. 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. 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 to access these data can be found in the Additional Resources section below.

Data Access

Some data in this collection contains images that could potentially be used to reconstruct a human face. Due to NIH Controlled Data Access Policy changes, downloads that previously required login-access are no longer available via TCIA. Watch for announcements re-enabling these in a new form.

Version 2: Updated 2025/10/21

Improved consistency of annotation labels and added new fields to the metadata reports about the images that were annotated for all subjects.  Resolved issues with select segmentations and seed points that were not rendering properly in Slicer.

Collections Used In This Analysis Result

External Resources

• The NCI Cancer Research Data Commons (CRDC) provides access to proteomic, genomic and clinical data related to these subjects.
  • Imaging Data Commons (IDC) (Imaging Data)
  • Proteomic Data Commons (PDC) (Proteomic & Clinical Data)
  • Genomic Data Commons (GDC) (Genomic & Clinical Data)
• Jupyter notebook demonstrating how to use the NBIA Data Retriever Command-Line Interface application and REST API (with authentication) to access these data
• Instructions for Visualizing these data in 3D Slicer

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: