Journal article
Intraoperative Detection of Liver Tumors Aided by Fluorescence Goggle System and Multimodal Imaging
Analyst (London), Vol.138(8), pp.2254-2257
04/21/2013
DOI: 10.1039/c3an00165b
PMCID: PMC3650133
PMID: 23467534
Abstract
Real-time image guidance in the operating room is needed to improve instantaneous surgical decisions. Toward this goal, we utilized a new fluorescence goggle system and a near-infrared fluorescent dye approved for human use, indocyanine green, to demonstrate the feasibility of detecting liver tumors intraoperatively. The fluorescence goggle provided successful imaging of multifocal breast cancer metastases in mouse liver. Diffused tumor deposits as small as 0.8 mm in diameter were detected, which were not obvious without the fluorescence goggle. A combination of surface-weighted fluorescence imaging and deep tissue-sensitive ultrasound imaging allowed comprehensive image guidance with the fluorescence goggle system for tumor resection in a rabbit VX2 liver metastasis model. This multimodal detection and guided surgical intervention strategy using ultrasonic imaging and real-time intraoperative fluorescence guidance is a promising and innovative technology platform for improving surgical outcome of human patients with primary or metastatic liver cancer.
Details
- Title: Subtitle
- Intraoperative Detection of Liver Tumors Aided by Fluorescence Goggle System and Multimodal Imaging
- Creators
- Yang Liu - Washington University in St. LouisWalter Akers - Washington University in St. LouisAdam Q Bauer - Washington University in St. LouisSuman Mondal - Washington University in St. LouisKyle Gullicksrud - Washington University in St. LouisGail Sudlow - Washington University in St. LouisJoseph P Culver - Washington University in St. LouisSamuel Achilefu - Washington University in St. Louis
- Resource Type
- Journal article
- Publication Details
- Analyst (London), Vol.138(8), pp.2254-2257
- DOI
- 10.1039/c3an00165b
- PMID
- 23467534
- PMCID
- PMC3650133
- ISSN
- 0003-2654
- eISSN
- 1364-5528
- Language
- English
- Date published
- 04/21/2013
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197271902771
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