
Proceedings Paper
A brain tumor molecular imaging strategy using a new triple-modality MRI-photoacoustic-Raman nanoparticleFormat | Member Price | Non-Member Price |
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Paper Abstract
The difficulty in delineating brain tumor margins is a major obstacle in the path toward better
outcomes for patients with brain tumors. Current imaging methods are often limited by
inadequate sensitivity, specificity and spatial resolution. Here we show that a unique triplemodality
magnetic resonance imaging - photoacoustic imaging - Raman imaging nanoparticle
(termed here MPR nanoparticles), can accurately help delineate the margins of brain tumors in
living mice both preoperatively and intraoperatively. The MPRs were detected by all three
modalities with at least a picomolar sensitivity both in vitro and in living mice. Intravenous
injection of MPRs into glioblastoma-bearing mice led to MPR accumulation and retention by the
tumors, with no MPR accumulation in the surrounding healthy tissue, allowing for a noninvasive
tumor delineation using all three modalities through the intact skull. Raman imaging allowed for
guidance of intraoperative tumor resection, and a histological correlation validated that Raman
imaging was accurately delineating the brain tumor margins. This new triple-modality–
nanoparticle approach has promise for enabling more accurate brain tumor imaging and
resection.
Paper Details
Date Published: 21 March 2013
PDF: 12 pages
Proc. SPIE 8581, Photons Plus Ultrasound: Imaging and Sensing 2013, 85810G (21 March 2013); doi: 10.1117/12.2001719
Published in SPIE Proceedings Vol. 8581:
Photons Plus Ultrasound: Imaging and Sensing 2013
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)
PDF: 12 pages
Proc. SPIE 8581, Photons Plus Ultrasound: Imaging and Sensing 2013, 85810G (21 March 2013); doi: 10.1117/12.2001719
Show Author Affiliations
Adam de la Zerda, Stanford Univ. (United States)
Moritz F. Kircher, Stanford Univ. (United States)
Memorial Sloan-Kettering Cancer Ctr. (United States)
Jesse V. Jokerst, Stanford Univ. (United States)
Cristina L. Zavaleta, Stanford Univ. (United States)
Paul J. Kempen, Stanford Univ. (United States)
Erik Mittra, Stanford Univ. (United States)
Ken Pitter, Memorial Sloan-Kettering Cancer Ctr. (United States)
Ruimin Huang, Memorial Sloan-Kettering Cancer Ctr. (United States)
Moritz F. Kircher, Stanford Univ. (United States)
Memorial Sloan-Kettering Cancer Ctr. (United States)
Jesse V. Jokerst, Stanford Univ. (United States)
Cristina L. Zavaleta, Stanford Univ. (United States)
Paul J. Kempen, Stanford Univ. (United States)
Erik Mittra, Stanford Univ. (United States)
Ken Pitter, Memorial Sloan-Kettering Cancer Ctr. (United States)
Ruimin Huang, Memorial Sloan-Kettering Cancer Ctr. (United States)
Carl Campos, Memorial Sloan-Kettering Cancer Ctr. (United States)
Frezghi Habte, Stanford Univ. (United States)
Robert Sinclair, Stanford Univ. (United States)
Cameron W. Brennan, Memorial Sloan-Kettering Cancer Ctr. (United States)
Ingo K. Mellinghoff, Memorial Sloan-Kettering Cancer Ctr. (United States)
Weill-Cornell Medical College (United States)
Eric C. Holland, Memorial Sloan-Kettering Cancer Ctr. (United States)
Sanjiv S. Gambhir, Stanford Univ. (United States)
Frezghi Habte, Stanford Univ. (United States)
Robert Sinclair, Stanford Univ. (United States)
Cameron W. Brennan, Memorial Sloan-Kettering Cancer Ctr. (United States)
Ingo K. Mellinghoff, Memorial Sloan-Kettering Cancer Ctr. (United States)
Weill-Cornell Medical College (United States)
Eric C. Holland, Memorial Sloan-Kettering Cancer Ctr. (United States)
Sanjiv S. Gambhir, Stanford Univ. (United States)
Published in SPIE Proceedings Vol. 8581:
Photons Plus Ultrasound: Imaging and Sensing 2013
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)
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