Cargando…

Multimodal Imaging Nanoparticles Derived from Hyaluronic Acid for Integrated Preoperative and Intraoperative Cancer Imaging

Surgical resection remains the most promising treatment strategy for many types of cancer. Residual malignant tissue after surgery, a consequence in part due to positive margins, contributes to high mortality and disease recurrence. In this study, multimodal contrast agents for integrated preoperati...

Descripción completa

Detalles Bibliográficos
Autores principales: Payne, William M., Hill, Tanner K., Svechkarev, Denis, Holmes, Megan B., Sajja, Balasrinivasa R., Mohs, Aaron M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5612698/
https://www.ncbi.nlm.nih.gov/pubmed/29097944
http://dx.doi.org/10.1155/2017/9616791
_version_ 1783266109930078208
author Payne, William M.
Hill, Tanner K.
Svechkarev, Denis
Holmes, Megan B.
Sajja, Balasrinivasa R.
Mohs, Aaron M.
author_facet Payne, William M.
Hill, Tanner K.
Svechkarev, Denis
Holmes, Megan B.
Sajja, Balasrinivasa R.
Mohs, Aaron M.
author_sort Payne, William M.
collection PubMed
description Surgical resection remains the most promising treatment strategy for many types of cancer. Residual malignant tissue after surgery, a consequence in part due to positive margins, contributes to high mortality and disease recurrence. In this study, multimodal contrast agents for integrated preoperative magnetic resonance imaging (MRI) and intraoperative fluorescence image-guided surgery (FIGS) are developed. Self-assembled multimodal imaging nanoparticles (SAMINs) were developed as a mixed micelle formulation using amphiphilic HA polymers functionalized with either GdDTPA for T(1) contrast-enhanced MRI or Cy7.5, a near infrared fluorophore. To evaluate the relationship between MR and fluorescence signal from SAMINs, we employed simulated surgical phantoms that are routinely used to evaluate the depth at which near infrared (NIR) imaging agents can be detected by FIGS. Finally, imaging agent efficacy was evaluated in a human breast tumor xenograft model in nude mice, which demonstrated contrast in both fluorescence and magnetic resonance imaging.
format Online
Article
Text
id pubmed-5612698
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-56126982017-09-28 Multimodal Imaging Nanoparticles Derived from Hyaluronic Acid for Integrated Preoperative and Intraoperative Cancer Imaging Payne, William M. Hill, Tanner K. Svechkarev, Denis Holmes, Megan B. Sajja, Balasrinivasa R. Mohs, Aaron M. Contrast Media Mol Imaging Research Article Surgical resection remains the most promising treatment strategy for many types of cancer. Residual malignant tissue after surgery, a consequence in part due to positive margins, contributes to high mortality and disease recurrence. In this study, multimodal contrast agents for integrated preoperative magnetic resonance imaging (MRI) and intraoperative fluorescence image-guided surgery (FIGS) are developed. Self-assembled multimodal imaging nanoparticles (SAMINs) were developed as a mixed micelle formulation using amphiphilic HA polymers functionalized with either GdDTPA for T(1) contrast-enhanced MRI or Cy7.5, a near infrared fluorophore. To evaluate the relationship between MR and fluorescence signal from SAMINs, we employed simulated surgical phantoms that are routinely used to evaluate the depth at which near infrared (NIR) imaging agents can be detected by FIGS. Finally, imaging agent efficacy was evaluated in a human breast tumor xenograft model in nude mice, which demonstrated contrast in both fluorescence and magnetic resonance imaging. Hindawi 2017-09-11 /pmc/articles/PMC5612698/ /pubmed/29097944 http://dx.doi.org/10.1155/2017/9616791 Text en Copyright © 2017 William M. Payne et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Payne, William M.
Hill, Tanner K.
Svechkarev, Denis
Holmes, Megan B.
Sajja, Balasrinivasa R.
Mohs, Aaron M.
Multimodal Imaging Nanoparticles Derived from Hyaluronic Acid for Integrated Preoperative and Intraoperative Cancer Imaging
title Multimodal Imaging Nanoparticles Derived from Hyaluronic Acid for Integrated Preoperative and Intraoperative Cancer Imaging
title_full Multimodal Imaging Nanoparticles Derived from Hyaluronic Acid for Integrated Preoperative and Intraoperative Cancer Imaging
title_fullStr Multimodal Imaging Nanoparticles Derived from Hyaluronic Acid for Integrated Preoperative and Intraoperative Cancer Imaging
title_full_unstemmed Multimodal Imaging Nanoparticles Derived from Hyaluronic Acid for Integrated Preoperative and Intraoperative Cancer Imaging
title_short Multimodal Imaging Nanoparticles Derived from Hyaluronic Acid for Integrated Preoperative and Intraoperative Cancer Imaging
title_sort multimodal imaging nanoparticles derived from hyaluronic acid for integrated preoperative and intraoperative cancer imaging
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5612698/
https://www.ncbi.nlm.nih.gov/pubmed/29097944
http://dx.doi.org/10.1155/2017/9616791
work_keys_str_mv AT paynewilliamm multimodalimagingnanoparticlesderivedfromhyaluronicacidforintegratedpreoperativeandintraoperativecancerimaging
AT hilltannerk multimodalimagingnanoparticlesderivedfromhyaluronicacidforintegratedpreoperativeandintraoperativecancerimaging
AT svechkarevdenis multimodalimagingnanoparticlesderivedfromhyaluronicacidforintegratedpreoperativeandintraoperativecancerimaging
AT holmesmeganb multimodalimagingnanoparticlesderivedfromhyaluronicacidforintegratedpreoperativeandintraoperativecancerimaging
AT sajjabalasrinivasar multimodalimagingnanoparticlesderivedfromhyaluronicacidforintegratedpreoperativeandintraoperativecancerimaging
AT mohsaaronm multimodalimagingnanoparticlesderivedfromhyaluronicacidforintegratedpreoperativeandintraoperativecancerimaging