Summary

This collection consists of 252 CT scans of Credence Cartridge Radiomic (CCR) phantom. This texture phantom was developed to investigate the feature robustness in the emerging field of radiomics. This phantom dataset was acquired on 4-8 CT scanners using a set of imaging parameters (e.g., reconstruction Field of View, Slice thickness, reconstruction kernels, mAs, and Pitch). A controlled scanning approach was employed to assess the variability in radiomic features due to each imaging parameter. This dataset will be useful to radiomic research community to identify a subset of robust radiomic features and for establishing the ground truths for future clinical investigations.

This Phantom dataset can be used for Feature variability assessment due to CT imaging parameters. These phantom scans can be used to identify a subset of robust radiomic features for future clinical investigations. Using this dataset, the numerical values of radiomic features can be cross-validated by other research groups using their own feature extraction tools.

Nasopharyngeal carcinoma has a higher incidence rate in Taizhou city. Taizhou Hospital is the largest general hospital in the local region. It has the largest nasopharyngeal carcinoma resources and can represent the highest level of nasopharyngeal diagnosis and treatment in Taizhou. By analyzing our imaging data, we try to to investigate predictive and prognostic radiomic parameters of treatment and survival outcomes for IMRT treated NPC. Also we are going to correlate the difference in radiomic features between MRI and PET-CT scan in predicting treatment and survival outcomes.


Acknowledgements

 


Data Access

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 By Collection option.

Data TypeDownload all or Query/Filter
Images (DICOM, GB)

 

Tissue Slide Images (web)
Clinical Data (CSV)

Genomics (web)

Click the Versions tab for more info about data releases.


Detailed Description

Image Statistics

 

Modalities

CT, MR, PET, PET-CT

Number of Patients

400

Number of Studies

2000

Number of Series


Number of Images


Images Size (GB)



Citations & Data Usage Policy 


Jian Z, Meng Y, Yang H, Kong FS. Nasopharyngeal Carcinoma Radiomics Study Database. 2018.


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 manuscripts based on this data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.


Version 1 (Current): Updated

Data TypeDownload all or Query/Filter
Images (DICOM, GB)

 

Clinical Data (TXT)

Genomics (web)