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 supplementary material 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
Mirabela 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)
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Data Type | Download all or Query/Filter |
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Images (DICOM, GB) | |
Annotated Whole Slide Pathology Images | |
Fused Rad-Path Matlab Files |
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Detailed Description
Collection Statistics |
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Modalities | CT, Aperio slide Pathology, Matlab |
Number of Patients | 6 |
Number of Studies | 6 |
Number of Series | 22 |
Number of Images | 3200 |
Image Size (GB) | 1.7 |
Supporting Documentation
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 and Matlab Data
Reconstructed, annotated whole slide pathology as well as fused Rad-Path matlab 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
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
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