In Vivo Quantitative Microvasculature Phenotype Imaging of Healthy and Malignant Tissues Using a Fiber-Optic Confocal Laser Microprobe1
Real-time in vivo imaging of the microvasculature may help both earlier clinical detection of disease and the understanding of tumor-host interaction at various stages of progression. In vivo confocal and multiphoton microscopy is often hampered by bulky optics setup and has limited access to intern...
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Published in | Translational oncology Vol. 1; no. 2; pp. 84 - 94 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Neoplasia Press Inc
01.07.2008
|
Online Access | Get full text |
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Abstract | Real-time
in vivo
imaging of the microvasculature may help both earlier clinical detection of disease and the understanding of tumor-host interaction at various stages of progression.
In vivo
confocal and multiphoton microscopy is often hampered by bulky optics setup and has limited access to internal organs. A fiber-optic setup avoids these limitations and offers great user maneuverability. We report here the
in vivo
validation of a fiber-optic confocal fluorescence microprobe imaging system. In addition, we developed an automated fractal-based image analysis to characterize microvascular morphology based on vessel diameter distribution, density, volume fraction, and fractal dimension from real-time data. The system is optimized for use in the far-red and near-infrared region. The flexible 1.5-mm-diameter fiber-optic bundle and microprobe enable great user maneuverability, with a field of view of 423 x 423
µ
m and a tissue penetration of up to 15
µ
m. Lateral and axial resolutions are 3.5 and 15
µ
m. We show that it is possible to obtain high temporal and spatial resolution images of virtually any abdominal viscera
in situ
using a far-red blood pool imaging probe. Using an orthotopic model of pancreatic ductal adenocarcinoma, we characterized the tumor surface capillary and demonstrated that the imaging system and analysis can quantitatively differentiate between the normal and tumor surface capillary. This clinically approved fiber-optic system, together with the fractal-based image analysis, can potentially be applied to characterize other tumors
in vivo
and may be a valuable tool to facilitate their clinical evaluation. |
---|---|
AbstractList | Real-time
in vivo
imaging of the microvasculature may help both earlier clinical detection of disease and the understanding of tumor-host interaction at various stages of progression.
In vivo
confocal and multiphoton microscopy is often hampered by bulky optics setup and has limited access to internal organs. A fiber-optic setup avoids these limitations and offers great user maneuverability. We report here the
in vivo
validation of a fiber-optic confocal fluorescence microprobe imaging system. In addition, we developed an automated fractal-based image analysis to characterize microvascular morphology based on vessel diameter distribution, density, volume fraction, and fractal dimension from real-time data. The system is optimized for use in the far-red and near-infrared region. The flexible 1.5-mm-diameter fiber-optic bundle and microprobe enable great user maneuverability, with a field of view of 423 x 423
µ
m and a tissue penetration of up to 15
µ
m. Lateral and axial resolutions are 3.5 and 15
µ
m. We show that it is possible to obtain high temporal and spatial resolution images of virtually any abdominal viscera
in situ
using a far-red blood pool imaging probe. Using an orthotopic model of pancreatic ductal adenocarcinoma, we characterized the tumor surface capillary and demonstrated that the imaging system and analysis can quantitatively differentiate between the normal and tumor surface capillary. This clinically approved fiber-optic system, together with the fractal-based image analysis, can potentially be applied to characterize other tumors
in vivo
and may be a valuable tool to facilitate their clinical evaluation. |
Author | Weissleder, Ralph Bardeesy, Nabeel Lin, Ken Young Mahmood, Umar Maricevich, Marco |
AuthorAffiliation | Center for Molecular Imaging Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA |
AuthorAffiliation_xml | – name: Center for Molecular Imaging Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA |
Author_xml | – sequence: 1 givenname: Ken Young surname: Lin fullname: Lin, Ken Young organization: Center for Molecular Imaging Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA – sequence: 2 givenname: Marco surname: Maricevich fullname: Maricevich, Marco organization: Center for Molecular Imaging Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA – sequence: 3 givenname: Nabeel surname: Bardeesy fullname: Bardeesy, Nabeel organization: Center for Molecular Imaging Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA – sequence: 4 givenname: Ralph surname: Weissleder fullname: Weissleder, Ralph organization: Center for Molecular Imaging Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA – sequence: 5 givenname: Umar surname: Mahmood fullname: Mahmood, Umar organization: Center for Molecular Imaging Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA |
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Copyright | Copyright © 2008 Neoplasia Press, Inc. All rights reserved 2008 |
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Snippet | Real-time
in vivo
imaging of the microvasculature may help both earlier clinical detection of disease and the understanding of tumor-host interaction at... |
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Title | In Vivo Quantitative Microvasculature Phenotype Imaging of Healthy and Malignant Tissues Using a Fiber-Optic Confocal Laser Microprobe1 |
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