Share Email Print

Proceedings Paper

Photoacoustic physio-chemical analysis for prostate cancer diagnosis (Conference Presentation)
Author(s): Guan Xu; Qian Cheng; Shengsong Huang; Ming Qin; Thomas Hopkins; Chang H. Lee; Raoul Kopelman; Wan-yu Chao; Evan T. Keller; Denglong Wu; Xueding Wang

Paper Abstract

Photoacoustic physio-chemical analysis (PAPCA) is a recently developed technology capable of simultaneously quantifying the content of molecular components and the corresponding microarchitectures in biological tissue. We have successfully quantified the diagnostic information in livers with PAPCA. In this study, we implemented PAPCA to the diagnosis of prostate cancers. 4 human prostates were scanned ex vivo. The PA signals from normal and cancerous regions in the prostates were acquired by an interstitial needle PA probe. A total of 14 interstitial measurements, including 6 within the normal regions and 8 in the cancerous regions, were acquired. The observed changes in molecular components, including lipid, collagen and hemoglobin were consistent with the findings by other research groups. The changes were quantified by PA spectral analysis (PASA) at wavelengths where strong optical absorption of the relevant molecular components was found. Statistically significant differences among the PASA parameters were observed (p=0.025 at significance of 0.05). A support vector machine model for differentiating the normal and cancerous tissue was established. With the limited number of samples, an 85% diagnostic accuracy was found. The diagnostic information in the PCPCA can be further enriched by targeted optical contrast agents visualizing the microarchitecture in PCa tissues. F3 PAA-PEG nanoparticles was employed to stain the PCa cells in a transgenic mouse model, in which the microarchitectures of normal and cancerous prostate tissues are comparable to that in human. Statistically significant differences were observed between the contrast-enhanced normal and cancerous regions (p=0.038 at a significance of 0.05).

Paper Details

Date Published: 24 April 2017
PDF: 1 pages
Proc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing 2017, 1006429 (24 April 2017); doi: 10.1117/12.2252262
Show Author Affiliations
Guan Xu, Univ. of Michigan Medical School (United States)
Qian Cheng, Tongji Univ. (China)
Shengsong Huang, Tongji Univ. (China)
Ming Qin, Univ. of Michigan (United States)
Thomas Hopkins, Univ. of Michigan (United States)
Chang H. Lee, Univ. of Michigan (United States)
Raoul Kopelman, Univ. of Michigan (United States)
Wan-yu Chao, Western Univ. (Canada)
Evan T. Keller, Univ. of Michigan Medical School (United States)
Denglong Wu, Tongji Univ. (China)
Xueding Wang, Univ. of Michigan Medical School (United States)

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

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?