Automated in Vivo Assessment of Vascular Response to Radiation Using a Hybrid Theranostic X-Ray Irradiator/Fluorescence Molecular Imaging System

Farouk Nouizi; Jamison Brooks; Darren M. Zuro; Srideshikan Sargur Madabushi; Dayson Moreira; Marcin Kortylewski; Jerry Froelich; Lydia M. Su; Gultekin Gulsen; Susanta K. Hui

doi:10.1109/ACCESS.2020.2994943

IEEE Access (Jan 2020)

Automated in Vivo Assessment of Vascular Response to Radiation Using a Hybrid Theranostic X-Ray Irradiator/Fluorescence Molecular Imaging System

Farouk Nouizi,
Jamison Brooks,
Darren M. Zuro,
Srideshikan Sargur Madabushi,
Dayson Moreira,
Marcin Kortylewski,
Jerry Froelich,
Lydia M. Su,
Gultekin Gulsen,
Susanta K. Hui

Affiliations

Farouk Nouizi: Department of Radiological Sciences, Tu and Yuen Center for Functional Onco-Imaging, University of California at Irvine, Irvine, CA, USA
Jamison Brooks: Department of Radiation Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA
Darren M. Zuro: Department of Radiation Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA
Srideshikan Sargur Madabushi: Department of Radiation Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA
Dayson Moreira: Department of Immuno-Oncology, Beckman Research Institute, City of Hope, Duarte, CA, USA
Marcin Kortylewski: Department of Immuno-Oncology, Beckman Research Institute, City of Hope, Duarte, CA, USA
Jerry Froelich: Department of Radiology, University of Minnesota, Minneapolis, MN, USA
Lydia M. Su: Department of Radiological Sciences, Tu and Yuen Center for Functional Onco-Imaging, University of California at Irvine, Irvine, CA, USA
Gultekin Gulsen: Department of Radiological Sciences, Tu and Yuen Center for Functional Onco-Imaging, University of California at Irvine, Irvine, CA, USA
Susanta K. Hui: ORCiD; Department of Radiation Oncology, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA

DOI: https://doi.org/10.1109/ACCESS.2020.2994943
Journal volume & issue: Vol. 8
pp. 93663 – 93670

Abstract

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Hypofractionated stereotactic body radiotherapy treatments (SBRT) have demonstrated impressive results for the treatment of a variety of solid tumors. The role of tumor supporting vasculature damage in treatment outcome for SBRT has been intensely debated and studied. Fast, non-invasive, longitudinal assessments of tumor vasculature would allow for thorough investigations of vascular changes correlated with SBRT treatment response. In this paper, we present a novel theranostic system which incorporates a fluorescence molecular imager into a commercial, preclinical, microCT-guided, irradiator and was designed to quantify tumor vascular response (TVR) to targeted radiotherapy. This system overcomes the limitations of single-timepoint imaging modalities by longitudinally assessing spatiotemporal differences in intravenously-injected ICG kinetics in tumors before and after high-dose radiation. Changes in ICG kinetics were rapidly quantified by principle component (PC) analysis before and two days after 10 Gy targeted tumor irradiation. A classifier algorithm based on PC data clustering identified pixels with TVR. Results show that two days after treatment, a significant delay in ICG clearance as measured by exponential decay (40.5± 16.1% P = 0.0405 Paired t-test n = 4) was observed. Changes in the mean normalized first and second PC feature pixel values (PC1 & PC2) were found (P = 0.0559, 0.0432 paired t-test), suggesting PC based analysis accurately detects changes in ICG kinetics. The PC based classification algorithm yielded spatially-resolved TVR maps. Our first-of-its-kind theranostic system, allowing automated assessment of TVR to SBRT, will be used to better understand the role of tumor perfusion in metastasis and local control.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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