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Assessment of a liposomal CT/optical contrast agent for image-guided head and neck surgery.
- Source :
-
Nanomedicine : nanotechnology, biology, and medicine [Nanomedicine] 2021 Feb; Vol. 32, pp. 102327. Date of Electronic Publication: 2020 Nov 19. - Publication Year :
- 2021
-
Abstract
- This study evaluates a long-acting liposomal fluorescence / CT dual-modality contrast agent (CF800) in head and neck cancer to enhance intraoperative tumor demarcation with fluorescence imaging and cone-beam computed tomography (CBCT). CF800 was administered to 12 buccal cancer-bearing rabbits. Imaging was acquired at regular time points to quantify time-dependent contrast enhancement. Surgery was performed 5-7 days after, with intraoperative near-infrared fluorescence endoscopy and CBCT, followed by histological and ex-vivo fluorescence assessment. Tumor enhancement on CT was significant at 24, 96 and 120 hours. Volumetric analysis of tumor segmentation showed high correlation between CBCT and micro-CT. Fluorescence signal was apparent in both ex-vivo and in-vivo imaging. Histological correlation showed [100%] specificity for primary tumor. Sensitivity and specificity of CF800 in detecting nodal involvement require further investigation.CF800 is long acting and has dual function for CT and fluorescence contrast, making it an excellent candidate for image-guided surgery.<br /> (Copyright © 2020 Elsevier Inc. All rights reserved.)
- Subjects :
- Animals
Biomarkers, Tumor metabolism
Cone-Beam Computed Tomography
Fluorescence
Head and Neck Neoplasms pathology
Injections
Liposomes administration & dosage
Liposomes pharmacokinetics
Lymph Nodes diagnostic imaging
Lymph Nodes pathology
Rabbits
X-Ray Microtomography
Contrast Media chemistry
Head and Neck Neoplasms surgery
Optical Imaging
Surgery, Computer-Assisted
Tomography, X-Ray Computed
Subjects
Details
- Language :
- English
- ISSN :
- 1549-9642
- Volume :
- 32
- Database :
- MEDLINE
- Journal :
- Nanomedicine : nanotechnology, biology, and medicine
- Publication Type :
- Academic Journal
- Accession number :
- 33220507
- Full Text :
- https://doi.org/10.1016/j.nano.2020.102327