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

doi:10.1109/EMBC.2015.7319089

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 proceeding › Conference contribution

5 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 language	English (US)
Title of host publication	2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3266-3269
Number of pages	4
ISBN (Electronic)	9781424492718
DOIs	https://doi.org/10.1109/EMBC.2015.7319089
State	Published - Nov 4 2015
Event	37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy Duration: Aug 25 2015 → Aug 29 2015

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume	2015-November
ISSN (Print)	1557-170X

Other

Other	37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Country/Territory	Italy
City	Milan
Period	8/25/15 → 8/29/15

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Access to Document

10.1109/EMBC.2015.7319089

Cite this

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 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 (pp. 3266-3269). Article 7319089 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2015-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2015.7319089

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. / Belfatto, Antonella; White, Derek A.; Zhang, Zhongwei et al.
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 3266-3269 7319089 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2015-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Belfatto, A, White, DA, Zhang, Z, Zhang, Z, Cerveri, P, Baroni, G & Mason, RP 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 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015., 7319089, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2015-November, Institute of Electrical and Electronics Engineers Inc., pp. 3266-3269, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy, 8/25/15. https://doi.org/10.1109/EMBC.2015.7319089

Belfatto A, White DA, Zhang Z, Zhang Z, Cerveri P, Baroni G et al. 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 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 3266-3269. 7319089. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2015.7319089

Belfatto, Antonella ; White, Derek A. ; Zhang, Zhongwei et al. / 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. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 3266-3269 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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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.",

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