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Comparison of Near-Infrared Imaging Camera Systems for Intracranial Tumor Detection

Authors :
Ryan D Salinas
Ryan Zeh
Steve S. Cho
Sunil Singhal
John T. Pierce
John Y K Lee
Source :
Molecular Imaging and Biology. 20:213-220
Publication Year :
2017
Publisher :
Springer Science and Business Media LLC, 2017.

Abstract

Distinguishing neoplasm from normal brain parenchyma intraoperatively is critical for the neurosurgeon. 5-Aminolevulinic acid (5-ALA) has been shown to improve gross total resection and progression-free survival but has limited availability in the USA. Near-infrared (NIR) fluorescence has advantages over visible light fluorescence with greater tissue penetration and reduced background fluorescence. In order to prepare for the increasing number of NIR fluorophores that may be used in molecular imaging trials, we chose to compare a state-of-the-art, neurosurgical microscope (System 1) to one of the commercially available NIR visualization platforms (System 2). Serial dilutions of indocyanine green (ICG) were imaged with both systems in the same environment. Each system’s sensitivity and dynamic range for NIR fluorescence were documented and analyzed. In addition, brain tumors from six patients were imaged with both systems and analyzed. In vitro, System 2 demonstrated greater ICG sensitivity and detection range (System 1 1.5–251 μg/l versus System 2 0.99–503 μg/l). Similarly, in vivo, System 2 demonstrated signal-to-background ratio (SBR) of 2.6 ± 0.63 before dura opening, 5.0 ± 1.7 after dura opening, and 6.1 ± 1.9 after tumor exposure. In contrast, System 1 could not easily detect ICG fluorescence prior to dura opening with SBR of 1.2 ± 0.15. After the dura was reflected, SBR increased to 1.4 ± 0.19 and upon exposure of the tumor SBR increased to 1.8 ± 0.26. Dedicated NIR imaging platforms can outperform conventional microscopes in intraoperative NIR detection. Future microscopes with improved NIR detection capabilities could enhance the use of NIR fluorescence to detect neoplasm and improve patient outcome.

Details

ISSN :
18602002 and 15361632
Volume :
20
Database :
OpenAIRE
Journal :
Molecular Imaging and Biology
Accession number :
edsair.doi.dedup.....4fdcc29f2e0b7ca8bd7aecc5dbcfe21c
Full Text :
https://doi.org/10.1007/s11307-017-1107-5