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Summary

 Nasopharyngeal carcinoma has a higher incidence in China, and it is more common in the southeast coast. MRI and PET-CT are indispensable imaging modalities that can more accurately assess the stage of tumor and guide the treatment planning and evaluation of normal tissue response. The Department of radiation oncology in our hospital has performed the treatment of nasopharyngeal cancer for many years. Has a wealth of clinical experience and a large number of nasopharyngeal carcinoma patients. Inclusion criteria: 1. All patients are pathologically confirmed nasopharyngeal carcinoma, 2. KPS score is larger than 60 and no other serious cardiovascular disease that could affect the course of treatment. Exclusion criteria: The expected survival time is less than 1 month, and the general condition is poor and radiotherapy cannot be completed. Take a CT, MRI and upload the data in imaging archive at the time before radiotherapy, during 15-20 fraction, 1 month after radiotherapy, 3 months after radiotherapy, 6 months after radiotherapy, 9 months after radiotherapy, 1 year after radiotherapy.

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.

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Images (DICOM, GB)

 

Tissue Slide Images (web)
Clinical Data (CSV)
Genomics (web)

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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 

TCGA collections have special publication embargoes which must be followed in addition to our normal data usage policies. See the TCGA section within TCIA's Data Usage Policies and Restrictions for additional details. After the publication embargo period ends these collections are freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. Questions may be directed to help@cancerimagingarchive.net. Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work:

Data Citation

Kirk, S., Lee, Y., Lucchesi, F. R., Aredes, N. D., Gruszauskas, N., Catto, J., … Lemmerman, J. (2016). Radiology Data from The Cancer Genome Atlas Urothelial Bladder Carcinoma [TCGA-BLCA] collection. The Cancer Imaging Archive. http://doi.org/10.7937/K9/TCIA.2016.8LNG8XDR

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

Version 6 (Current): Updated

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

 

Clinical Data (TXT)
Genomics (web)

Added 9 new subjects of imaging data.

Version 5: Updated 2017/01/31

Data TypeDownload all or Query/Filter
Images (DICOM, 32.9GB) 
Clinical Data (TXT)
Genomics (web)

Added 6 new subjects of imaging data.

Version 4: Updated 2016/08/31

Data TypeDownload all or Query/Filter
Images (DICOM, 31.0GB) 
Clinical Data (TXT)
Genomics (web)

Added 20 subjects' imaging data.

Version 3: Updated 2016/05/31

Data TypeDownload all or Query/Filter
Images (DICOM, 25.2GB) 
Clinical Data (TXT)
Genomics (web)

Added 31 new subjects of imaging data.

Version 2: Updated 2016/01/27

Data TypeDownload all or Query/Filter
Images (DICOM, 9.4GB) 
Clinical Data (TXT)
Genomics (web)

Extracted latest release of clinical data (TXT) from the GDC Data Portal.

Version 1: Updated 2014/12/09

Data TypeDownload all or Query/Filter
Images (DICOM, 9.4GB) 
Clinical Data (TXT)
Genomics (web)

 

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