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Proceedings Paper

Correlations in photoacoustic estimates of tumor oxygenation during novel cancer therapies with power Doppler measurements (Conference Presentation)
Author(s): Eno Hysi; Lauren A. Wirtzfeld; Azza Al-Mahrouki; Mai Elfarnawany; James C. Lacefield; Gregory J. Czarnota; Michael C. Kolios
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Paper Abstract

Photoacoustic (PA) imaging of tumor oxygenation can be used to monitor vascular-targeted novel therapies. This study examines how a combination treatment, ultrasound-microbubbles (USMB)/radiation-therapy (XRT) alters oxygen saturation (sO2) estimates, which are then compared to power Doppler (PD) assessments of tumor vascularity. SCID mice were inoculated with subcutaneous, hind-leg PC3 tumors. The treatment consisted of XRT/MB (XRT: 8Gy/single-fraction; USMB: 3%/500 kHz/570kPa; n=3), USMB (n=3) and XRT (n=5) alone and untreated control (n=5). PA/PD imaging was acquired pre-treatment and 2h/24h post-treatment using the VevoLAZR (21 MHz, 750/850 nm). The volumetric tumor sO2 was quantified using histogram distributions and the average mode was computed. The vascularization index (VI), a PD metric of tumor vessel density, was studied along with the sO2 mode by comparing changes at 2h with pre-treatment. Mice whose pre-treatment sO2 levels were over 65%, exhibited a 15% drop in oxygenation at 2h, remaining unchanged by 24h. Examining the sO2 and VI relationships revealed differences between the groups. All groups (except control) exhibited a positive correlation when the ∆VI was plotted as a function of ∆sO2 (r2≥0.85). Mice in the XRT/MB group had the largest slope (11.7) suggesting that a change in sO2 was accompanied by the largest change in vessel density. The slope of the USMB and XRT treatments was 5.6 and 2.9, respectively. The combination treatment induced the largest changes in vessel density and sO2. Early PA estimates of tumor oxygenation appear to correlate with the treatment-induced vascular changes. Such measure could potentially be used for predicting treatment outcome.

Paper Details

Date Published: 24 April 2017
PDF: 1 pages
Proc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing 2017, 100640F (24 April 2017); doi: 10.1117/12.2251422
Show Author Affiliations
Eno Hysi, Ryerson Univ. (Canada)
Institute for Biomedical Engineering,, Li Ka Shing Knowledge Institute (Canada)
Keenan Research Ctr., St. Michael's Hospital (Canada)
Lauren A. Wirtzfeld, Ryerson Univ. (Canada)
Institute for Biomedical Engineering, Li Ka Shing Knowledge Institute (Canada)
Keenan Research Ctr., St. Michael's Hospital (Canada)
Azza Al-Mahrouki, Sunnybrook Health Sciences Ctr. (Canada)
Odette Cancer Ctr., Sunnybrook Health Sciences Ctr. (Canada)
Mai Elfarnawany, Robarts Research Institute, Western Univ. (Canada)
Biomedical Engineering, Western Univ. (Canada)
James C. Lacefield, Robarts Research Institute, Western Univ. (Canada)
Biomedical Engineering, Western Univ. (Canada)
Gregory J. Czarnota, Sunnybrook Health Sciences Ctr. (Canada)
Odette Cancer Ctr., Sunnybrook Health Sciences Ctr. (Canada)
Univ. of Toronto (Canada)
Michael C. Kolios, Ryerson Univ. (Canada)
Institute for Biomedical Engineering, Li Ka Shing Knowledge Institute (Canada)
Keenan Research Ctr., St. Michael's Hospital (Canada)


Published in SPIE Proceedings Vol. 10064:
Photons Plus Ultrasound: Imaging and Sensing 2017
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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