Summary
All the images are diagnostic contrast enhanced CT scans. The images were retrospectively acquired, to ensure sufficient patient follow-up. Slice thickness is variable : between 3 and 6 mm. All images were done at diagnosis and prior to surgery. The objective of the study was to extract prognostic image features that will describe lung adenocarcinomas and will associate with overall survival.
TCIA DICOM Subject ID, SOP Instance UID, Instance Number, and Image Position (Patient) X-Y-Z are noted in Representative-Tumor-Slices.xlsx
The accompanying data are survival data (status: dead or alive, survival time in months) and pathological stage (TNM). See the following publication for more information:
Citation
Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma. Grove O, Berglund AE, Schabath MB, Aerts HJ, Dekker A, Wang H, Velazquez ER, Lambin P, Gu Y, Balagurunathan Y, Eikman E, Gatenby RA, Eschrich S, Gillies RJ. PLoS One. 2015 Mar 4;10(3):e0118261. doi: 10.1371/journal.pone.0118261. eCollection 2015.
Acknowledgements
We would like to acknowledge the individual and institution that have provided data for this collection:
- Moffitt Cancer Center (Tampa Florida) - Special thanks to Olya Stringfield, PhD from the Department of Cancer Imaging and Metabolism.
Data Access
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Detailed Description
Collection Statistics | Updated 12/30/2014 |
---|---|
Modalities | CT |
Number of Patients | 61 |
Number of Studies | 61 |
Number of Series | 61 |
Number of Images | 4,682 |
Images Size (GB) | 2.5 |
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:
LungCT-Diagnosis Citation
The Cancer Imaging Archive Team. Data From LungCT-Diagnosis. doi:10.7937/K9/TCIA.2015.GOJ0ZEJS
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.