Summary
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location | https://www.cancerimagingarchive.net/collection/naf-prostate/ |
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This is a collection of F-18 NaF positron emission tomography/computed tomography (PET/CT) images in patients with prostate cancer, with suspected or known bone involvement.Imaging was performed on a Phillips Gemini TF PET/CT scanner based on 4x4x22mm LYSO (lutetium yttrium orthosilicate) crystal detection elements covering 18cm axial field of view (FOV) and 57cm imaging transaxial FOV. The time of flight resolution is 585ps. The scanner achieves a spatial resolution of 4.8mm at the center of the FOV. Data were reconstructed using the RAMLA iterative OSEM algorithm using 3 iterations and 33 subsets. The scanner uses CT based attenuation correction, along with randoms, normalization, dead time, and a model based scatter correction. The CT component of the scanner is a 16 slice helical CT. The CT images were generated using a low X-ray dose of 120KV, 60mAs setting.
The prescribed injected dose was 3mCi IV. Some of the patients had 2 baseline studies within 14 days of each other (with no intervening interventions). Many have follow-up PET/CT imaging performed following therapy (varied) at 6 +/-2months and 12 +/- 2 months. For scientific or other inquiries relating to this data set, please contact
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the TCIA Helpdesk.
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active | true |
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title | Data Access |
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| Data Access |
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Type | Download all or Query/Filter | License |
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Images (12. |
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9 GB) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/3539105/TCIA_NaF_PROSTATE_06-22-2015.tcia?version=1&modificationDate=1534787406608&api=v2 |
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| Download NaF PROSTATE |
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label | Search |
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url | https://www.cancerimagingarchive.net/nbia-search/?CollectionCriteria=NaF%20PROSTATE |
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(Download requires the NBIA Data Retriever) | | DICOM Metadata Digest (CSV, 42 kB) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/3539105/NaF%20Prostate_MetaData.csv?version=1&modificationDate=1495728368893&api=v2 |
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Click the Versions tab for more info about data releases. Nci_crdc additional resources |
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title | Detailed Description |
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| Detailed Description
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Modalities | PET/CT | Number of |
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Participants | 9 | Number of Studies | 44 | Number of Series | 214 | Number of Images | 64,535 | Image Size (GB) | 12.9 |
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy |
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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:
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| Kurdziel, Karen A, Apolo, Andrea B., Lindenberg, Liza, Mena, Esther, McKinney, Yolanda Y., Adler, Stephen S., … Choyke, Peter L. (2015). Data From NaF |
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PROSTATE [Dataset]. The Cancer Imaging Archive. |
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title | Publication Citation |
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| Kurdziel, K. A., Shih, J. H., Apolo, A. B., Lindenberg, L., Mena, E., McKinney, Y. Y., … Choyke, P. L. (2012, June 22). The Kinetics and Reproducibility of 18F-Sodium Fluoride for Oncology Using Current PET Camera Technology. Journal of Nuclear Medicine. Society of Nuclear Medicine. |
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| Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. |
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(2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository |
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. In Journal of Digital Imaging |
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a publication you'd like to add, please |
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contact the TCIA Helpdesk. Some publications that have used this dataset as a resource include: - Brassey, C. A., O'Mahoney, T. G., Chamberlain, A. T., & Sellers, W. I. (2018). A volumetric technique for fossil body mass estimation applied to Australopithecus afarensis. Journal of human evolution, 115, 47-64. doi: https://doi.org/10.1016/j.jhevol.2017.07.014
- Chen, J., Li, Y., Du, Y., & Frey, E. C. (2020). Generating anthropomorphic phantoms using fully unsupervised deformable image registration with convolutional neural networks. Med Phys, 47(12), 6366-6380. doi: https://doi.org/10.1002/mp.14545
- Trebeschi, S., Bodalal, Z., van Dijk, N., Boellaard, T. N., Apfaltrer, P., Tareco Bucho, T. M., . . . Beets-Tan, R. G. H. (2021). Development of a Prognostic AI-Monitor for Metastatic Urothelial Cancer Patients Receiving Immunotherapy. Front Oncol, 11, 637804. doi: https://doi.org/10.3389/fonc.2021.637804
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| Version 1 (Current): Updated 2013/4/23
Data Type | Download all or Query/Filter |
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Images (48.8GB) | |
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url | https://wiki.cancerimagingarchive.net/download/attachments/3539105/TCIA_NaF_PROSTATE_06-22-2015.tcia?version=1&modificationDate=1534787406608&api=v2 |
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label | Search |
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url | https://www.cancerimagingarchive.net/nbia-search/?CollectionCriteria=NaF%20PROSTATE |
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(Download requires the NBIA Data Retriever) | DICOM Metadata Digest (CSV) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/3539105/NaF%20Prostate_MetaData.csv?version=1&modificationDate=1495728368893&api=v2 |
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