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| url | https://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=CC-Tumor-Heterogeneity |
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(Download requires NBIA Data Retriever) | | | Clinical data (XLSX) |
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Click the Versions tab for more info about data releases. Please contact help@cancerimagingarchive.net with any questions regarding usage. |
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| title | Detailed Description |
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| Detailed DescriptionImage Statistics |
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Modalities | CT,MR,PT,REG,RTSTRUCT | Number of Patients | 23 | Number of Studies | 171 | Number of Series | 821 | Number of Images | 131,556 | Images Size (GB) | 26.0 |
References Bowen SR, Yuh WTC, Hippe DS, et al. Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy. J Magn Reson Imaging 2018;47(5):1388-96. doi: 10.1002/jmri.25874 [published Online First: 20171016] Mayr NA, Wang JZ, Zhang D, et al. Longitudinal changes in tumor perfusion pattern during the radiation therapy course and its clinical impact in cervical cancer. Int J Radiat Oncol Biol Phys 2010;77(2):502-8. doi: 10.1016/j.ijrobp.2009.04.084 [published Online First: 20090921] - Mayr NA, Wang JZ, Zhang D, et al. Synergistic effects of hemoglobin and tumor perfusion on tumor control and survival in cervical cancer. Int J Radiat Oncol Biol Phys 2009;74(5):1513-21. doi: 10.1016/j.ijrobp.2008.09.050 [published Online First: 20090313]
- Mayr NA, Yuh WT, Jajoura D, et al. Ultra-early predictive assay for treatment failure using functional magnetic resonance imaging and clinical prognostic parameters in cervical cancer. Cancer 2010;116(4):903-12. doi: 10.1002/cncr.24822
- Prescott JW, Zhang D, Wang JZ, et al. Temporal analysis of tumor heterogeneity and volume for cervical cancer treatment outcome prediction: preliminary evaluation. J Digit Imaging 2010;23(3):342-57. doi: 10.1007/s10278-009-9179-7 [published Online First: 20090127]
- Yuh WT, Mayr NA, Jarjoura D, et al. Predicting control of primary tumor and survival by DCE MRI during early therapy in cervical cancer. Invest Radiol 2009;44(6):343-50. doi: 10.1097/RLI.0b013e3181a64ce9
- Huang Z, Mayr NA, Yuh WT, et al. Predicting outcomes in cervical cancer: a kinetic model of tumor regression during radiation therapy. Cancer Res 2010;70(2):463-70. doi: 10.1158/0008-5472.Can-09-2501 [published Online First: 20100112]
- Huang Z, Mayr NA, Gao M, et al. Onset time of tumor repopulation for cervical cancer: first evidence from clinical data. Int J Radiat Oncol Biol Phys 2012;84(2):478-84. doi: 10.1016/j.ijrobp.2011.12.037 [published Online First: 20120302]
- Mayr NA, Wang JZ, Lo SS, et al. Translating response during therapy into ultimate treatment outcome: a personalized 4-dimensional MRI tumor volumetric regression approach in cervical cancer. Int J Radiat Oncol Biol Phys 2010;76(3):719-27. doi: 10.1016/j.ijrobp.2009.02.036 [published Online First: 20090723]
- Wang JZ, Mayr NA, Zhang D, et al. Sequential magnetic resonance imaging of cervical cancer: the predictive value of absolute tumor volume and regression ratio measured before, during, and after radiation therapy. Cancer 2010;116(21):5093-101. doi: 10.1002/cncr.25260
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| Localtab |
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| title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy| Tcia limited license policy |
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| Info |
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| Mayr, N., Yuh, W. T. C., Bowen, S., Harkenrider, M., Knopp, M. V., Lee, E. Y.-P., Leung, E., Lo, S. S., Small Jr., W., & Wolfson, A. H. (20222023). Cervical Cancer – Tumor Heterogeneity: Serial Functional and Molecular Imaging Across the Radiation Therapy Course in Advanced Cervical Cancer (Version 1) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/ERZ5-QZ59 |
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| title | Publication Citation |
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| Bowen, S. R., Yuh, W. T. C., Hippe, D. S., Wu, W., Partridge, S. C., Elias, S., Jia, G., Huang, Z., Sandison, G. A., Nelson, D., Knopp, M. V., Lo, S. S., Kinahan, P. E., & Mayr, N. A. (2017). Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy. In Journal of Magnetic Resonance Imaging (Vol. 47, Issue 5, pp. 1388–1396). Wiley. https://doi.org/10.1002/jmri.25874 |
| Info |
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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. 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. DOI: 10.1007/s10278-013-9622-7 |
Other Publications Using This DataTCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. |
| Localtab |
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| Version 1 (Current): 2023/01/20| Data Type | Download all or Query/Filter | License |
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| Images (DICOM, 26.0 GB) |
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| url | https://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=CC-Tumor-Heterogeneity |
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| url | https://wiki.cancerimagingarchive.net/download/attachments/112591753/TCIA_CCTH_Patient%20data_1.17.23.xlsx?api=v2 |
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