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Functional/molecular imaging offers the opportunity to assess biological heterogeneity across the entire tumor volume (spatially) and longitudinally across the treatment course (temporally). In advanced cervical cancer, the tumor gradually undergoes radiation/chemotherapy induced functional and biological changes within its heterogeneous volume that can be assessed by sequential imaging before and during treatment.
The figure on the right shows examples of these kinds of images. It was adapted from this publication - 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.
Advanced cervical cancer is an ideal disease to study – in clinical patients – the vascular, cellular and molecular tumor properties that can provide essential information to monitor therapeutic responsiveness, facilitate treatment planning and may provide early prediction of ultimate success or failure of an ongoing treatment.
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References: Please see the Detailed Description tab.Figure: The figure above was adapted from this publication - 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.
Acknowledgements
Data was supported in part by NCI grant R01CA155454. Foundational and pilot data, which enabled the work on R01CA155454 and on this collection, were supported by R01CA71906.
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