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Proceedings Paper

Linear-array-based photoacoustic tomography for label-free high-throughput detection and quantification of circulating melanoma tumor cell clusters
Author(s): Pengfei Hai; Yong Zhou; Ruiying Zhang; Jun Ma; Yang Li; Lihong V. Wang
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Paper Abstract

Circulating tumor cell (CTC) clusters arise from multicellular grouping in the primary tumor and elevate the metastatic potential by 23 to 50 fold compared to single CTCs. High throughout detection and quantification of CTC clusters is critical for understanding the tumor metastasis process and improving cancer therapy. In this work, we report a linear-array-based photoacoustic tomography (LA-PAT) system capable of label-free high-throughput CTC cluster detection and quantification in vivo. LA-PAT detects CTC clusters and quantifies the number of cells in them based on the contrast-to-noise ratios (CNRs) of photoacoustic signals. The feasibility of LA-PAT was first demonstrated by imaging CTC clusters ex vivo. LA-PAT detected CTC clusters in the blood-filled microtubes and computed the number of cells in the clusters. The size distribution of the CTC clusters measured by LA-PAT agreed well with that obtained by optical microscopy. We demonstrated the ability of LA-PAT to detect and quantify CTC clusters in vivo by imaging injected CTC clusters in rat tail veins. LA-PAT detected CTC clusters immediately after injection as well as when they were circulating in the rat bloodstreams. Similarly, the numbers of cells in the clusters were computed based on the CNRs of the photoacoustic signals. The data showed that larger CTC clusters disappear faster than the smaller ones. The results prove the potential of LA-PAT as a promising tool for both preclinical tumor metastasis studies and clinical cancer therapy evaluation.

Paper Details

Date Published: 3 March 2017
PDF: 8 pages
Proc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing 2017, 100641P (3 March 2017); doi: 10.1117/12.2252819
Show Author Affiliations
Pengfei Hai, Washington Univ. in St. Louis (United States)
California Institute of Technology (United States)
Yong Zhou, Washington Univ. in St. Louis (United States)
Ruiying Zhang, Washington Univ. in St. Louis (United States)
Jun Ma, Washington Univ. in St. Louis (United States)
Yang Li, Washington Univ. in St. Louis (United States)
California Institute of Technology (United States)
Lihong V. Wang, Washington Univ. in St. Louis (United States)
California Institute of Technology (United States)


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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