Mathematical modeling of tumor response to radiation: Radio-sensitivity correlation with BOLD, TOLD, Δr1 and Δr2∗ investigated in large Dunning R3327-AT1 rat prostate tumors

Antonella Belfatto, Derek A. White, Zhongwei Zhang, Zhang Zhang, Pietro Cerveri, Guido Baroni, Ralph P. Mason

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Tumor response to radiation therapy can vary highly across patients. Several factors, both tumor- and environment-specific, can influence the radio-sensitivity, one of the most well-known being hypoxia. In this work, we investigated possible correlations between the radio-sensitivity parameters determined by means of a simple mathematical model of tumor volume evolution, and the MRI-based indicators of oxygenation in Dunning R3327-AT1 rats. Prior to irradiation the rats were subjected to an oxygen-breathing challenge, which was evaluated by MRI. The tumors were administered a single irradiation dose (30 Gy), while breathing air or oxygen. Despite a poor fitting performance, the model was able to identify two different tumor volume regression patterns. Moreover, the radio-sensitivity of the oxygen-breathing group was found to correlate with the variation of the transverse relaxation rate ΔR2∗ (-0.89). This suggests that MRI-based indices of tumor oxygenation may provide information about radio-sensitivity.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3266-3269
Number of pages4
Volume2015-November
ISBN (Print)9781424492718
DOIs
StatePublished - Nov 4 2015
Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy
Duration: Aug 25 2015Aug 29 2015

Other

Other37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
CountryItaly
CityMilan
Period8/25/158/29/15

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

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    Belfatto, A., White, D. A., Zhang, Z., Zhang, Z., Cerveri, P., Baroni, G., & Mason, R. P. (2015). Mathematical modeling of tumor response to radiation: Radio-sensitivity correlation with BOLD, TOLD, Δr1 and Δr2∗ investigated in large Dunning R3327-AT1 rat prostate tumors. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (Vol. 2015-November, pp. 3266-3269). [7319089] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2015.7319089