Multimodal Imaging Nanoparticles Derived from Hyaluronic Acid for Integrated Preoperative and Intraoperative Cancer Imaging
Joint Authors
Sajja, Balasrinivasa R.
Payne, William M.
Hill, Tanner K.
Svechkarev, Denis
Holmes, Megan B.
Mohs, Aaron M.
Source
Contrast Media & Molecular Imaging
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-11
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
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 T1 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.
American Psychological Association (APA)
Payne, William M.& Hill, Tanner K.& Svechkarev, Denis& Holmes, Megan B.& Sajja, Balasrinivasa R.& Mohs, Aaron M.. 2017. Multimodal Imaging Nanoparticles Derived from Hyaluronic Acid for Integrated Preoperative and Intraoperative Cancer Imaging. Contrast Media & Molecular Imaging،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1141897
Modern Language Association (MLA)
Payne, William M.…[et al.]. Multimodal Imaging Nanoparticles Derived from Hyaluronic Acid for Integrated Preoperative and Intraoperative Cancer Imaging. Contrast Media & Molecular Imaging No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1141897
American Medical Association (AMA)
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. Contrast Media & Molecular Imaging. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1141897
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141897