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Published August 20, 2024 | Version v2
Dataset Open

DICOM converted Slide Microscopy images for the TCGA-THYM collection

  • 1. PixelMed Publishing
  • 2. Institute for Systems Biology
  • 3. General Dynamics IT
  • 4. Frederick National Laboratory
  • 5. National Cancer Institute
  • 6. Brigham and Women's Hospital

Description

This dataset corresponds to a collection of images and/or image-derived data available from National Cancer Institute Imaging Data Commons (IDC) [1]. This dataset was converted into DICOM representation and ingested by the IDC team. You can explore and visualize the corresponding images using IDC Portal here: TCGA-THYM. You can use the manifests included in this Zenodo record to download the content of the collection following the Download instructions below.

Collection description

This cancer develops in the outer surface of the thymus, a gland behind the breastbone that produces T-cells, a type of white blood cells. Thymoma is rare, but it is the most common tumor in adults affecting the mediastinum, which is the cavity between the lungs containing the heart, esophagus, and trachea. A tumor of the thymus tends to grow slowly and rarely spreads to other parts of the body. However, of the estimated 400 Americans who develop this cancer each year, half are diagnosed with metastatic thymoma. When the cancer metastasizes, only 45% of patients survive five years after their diagnosis.

Please see the TCGA-THYM information page to learn more about the images and to obtain any supporting metadata for this collection.

Citation guidelines can be found on the Citing TCGA in Publications and Presentations information page.

Files included

A manifest file's name indicates the IDC data release in which a version of collection data was first introduced. For example, collection_id-idc_v8-aws.s5cmd corresponds to the contents of the collection_id collection introduced in IDC data release v8. If there is a subsequent version of this Zenodo page, it will indicate when a subsequent version of the corresponding collection was introduced.

  1. tcga_thym-idc_v10-aws.s5cmd: manifest of files available for download from public IDC Amazon Web Services buckets
  2. tcga_thym-idc_v10-gcs.s5cmd: manifest of files available for download from public IDC Google Cloud Storage buckets
  3. tcga_thym-idc_v10-dcf.dcf: Gen3 manifest (for details see https://learn.canceridc.dev/data/organization-of-data/guids-and-uuids)

Note that manifest files that end in -aws.s5cmd reference files stored in Amazon Web Services (AWS) buckets, while -gcs.s5cmd reference files in Google Cloud Storage. The actual files are identical and are mirrored between AWS and GCP.

Download instructions

Each of the manifests include instructions in the header on how to download the included files.

To download the files using .s5cmd manifests:

  1. install idc-index package: pip install --upgrade idc-index
  2. download the files referenced by manifests included in this dataset by passing the .s5cmd manifest file: idc download manifest.s5cmd.

To download the files using .dcf manifest, see manifest header.

Acknowledgments

Imaging Data Commons team has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, under Task Order No. HHSN26110071 under Contract No. HHSN261201500003l.

References

[1] Fedorov, A., Longabaugh, W. J. R., Pot, D., Clunie, D. A., Pieper, S. D., Gibbs, D. L., Bridge, C., Herrmann, M. D., Homeyer, A., Lewis, R., Aerts, H. J. W., Krishnaswamy, D., Thiriveedhi, V. K., Ciausu, C., Schacherer, D. P., Bontempi, D., Pihl, T., Wagner, U., Farahani, K., Kim, E. & Kikinis, R. National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence. RadioGraphics (2023). https://doi.org/10.1148/rg.230180

Files

Files (114.3 kB)

Name Size Download all
md5:722a4ac74d34bfaaff4e85fa4ee28d16
20.7 kB Download
md5:9823f5bb4b846cd9f5f6dc2bf1991d1a
71.0 kB Download
md5:7adf785243f13d3bb9eb692f521cc7cd
22.6 kB Download

Additional details

Related works

Cites
10.1148/rg.230180 (DOI)
Is published in
10.25504/FAIRsharing.0b5a1d (DOI)