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

Diseases
Medicine

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