Summary
Data collection and analysis was provided by Case Western Reserve University. This is the first attempt of mapping the extent of Invasive Adenocarcinoma onto in vivo lung CT. The mappings constitute ground truth of disease and may be used to further investigate the imaging signatures of Invasive Adenocarcinoma in ground glass pulmonary nodules.
Patient with small ground glass nodules with >2 histology slices per nodule were included. Patients with solid large nodules (>40mm), with <3 histology slices or with histology slices showing substantial artifacts were excluded from this study (see reference below for details).
References
All the program scripts that were used for generating the results and data in this paper have been made available at https://github.com/mirabelarusu/RadPathFusionLung
Rusu M., Rajiah P., Gilkeson R., Yang M., Donatelli C., Thawani R., Jacono F.J., Linden P., Madabushi A. (2017) Co-registration of pre-operative CT with ex vivo surgically excised ground glass nodules to define spatial extent of invasive adenocarcinoma on in vivo imaging: a proof-of-concept study. European Radiology 27:10, 4209:4217. DOI: https://doi.org/10.1007/s00330-017-4813-0
Data Access (Radiology)
Choosing the Download option will provide you with a file to launch the TCIA Download Manager to download the entire collection. If you want to browse or filter the data to select only specific scans/studies please use the Search option.
| Data Type | Download all or Query/Filter |
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| Images (DICOM, GB) |
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| Annotated Whole Slide Pathology Images |
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| Clinical data (xlsx) |
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Click the Versions tab for more info about data releases.
Detailed Description
Collection Statistics |
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|---|---|
Modalities | CT, Aperio slide Pathology, Histology compartments mapped on CT (DICOM) |
Number of Patients | 6 |
Number of Studies | 6 |
Number of Series | 22 |
Number of Images | 3200 |
| Image Size (GB) | 1.7 |
Supporting Documentation
Within the directory CT_Segmentations_and_annotations/CT_Segmentations/<ptID>/ there are five directories:
- BloodVessels (derived from CT)
- Nodule (derived from CT)
- MappedFromHistologyBloodVessels
- MappedFromHistologyInvasion
- MappedFromHistologyLesion
The data set is fully described in the following publications:
Rusu et al. Co-registration of pre-operative CT with ex vivo surgically excised ground glass nodules to define spatial extent of invasive adenocarcinoma on in vivo imaging: a proof-of-concept study. European Radiology (2018); PMCID:PMC5630490 DOI:10.1007/s00330-017-4813-0
Pathology Data
Reconstructed, annotated whole slide pathology as well as fused Rad-Path objects are also available at https://pathology.cancerimagingarchive.net/pathdata/.
Citations & Data Usage Policy
This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to help@cancerimagingarchive.net.
Please be sure to include the following citations in your work if you use this data set:
Data Citation
Madabhushi, A., & Rusu, M. (2018). Fused Radiology-Pathology Lung Dataset. The Cancer Imaging Archive.http://doi.org (coming soon)
Publication Citation
Rusu et al. Co-registration of pre-operative CT with ex vivo surgically excised ground glass nodules to define spatial extent of invasive adenocarcinoma on in vivo imaging: a proof-of-concept study. European Radiology (2018); PMCID:PMC5630490 DOI:10.1007/s00330-017-4813-0
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. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. (paper)
Other Publications Using This Data
TCIA maintains a list of publications which leverage our data. At this time we are not aware of any publications based on this data. If you have a publication you'd like to add please contact the TCIA Helpdesk.
Version 1 (Current) Updated 07-30-2018
| Data Type | Download all or Query/Filter |
|---|---|
| Images (DICOM, 1.7 GB) |
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| Annotated Whole Slide Pathology Images |  |
| Clinical data (xlsx) |
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