This application is a revised competing renewal for a second funding period to support the development and evaluation of fluorescence imaging (FI) in guiding the resection of intracranial tumor. Utilizing quantitative FI (qFI) concepts developed during the first funding period, and realized in the form of an intraoperative probe, concentrations of d-aminolevulinic acid (ALA) induced protoporphyrin IX (PpIX) have been measured quantitatively in vivo in human brain tumors. These results are clinically profound because they indicate for the first time that diagnostically significant PpIX concentrations exist brain tumors which are below the threshold of human visual detection - even in low grade glioma (LGG) - tumors previously found inaccessible with visual FI (vFI), despite the significant clinical impact to be gained from improving their completeness of surgical resection through FI technique. Our overall research plan for continuation outlines clinical and technical/ preclinical studies that will be pursued in parallel - a strategy that has proved to be successful during the current funding period and creates a framework for iterative exchange that informs the clinical and technical requirements for solving the resection challenges facing the surgeon. In the second funding phase of the project, we implement and evaluate preclinically technical advances (in Aim 1) designed to achieve wide-field quantitative FI (qFI) and wide-field depth-detected FI (dFI). We will also enroll patients into clinical studies of ALA-induced PpIX FI (in Ai 2) to generate the data required to determine the probability of tumor for a given quantitative value of PpIX concentration. These studies will set the stage for prospective clinical enrollments (in Aim 3) designed to evaluate the addition of qFI and dFI to visual fluorescence imaging (vFI) when surgical accuracy is evaluated intra- and post-operatively with conventional methods . We will realize the combination of qFI and dFI (in Aim 4) to quantitatively detect PpIX concentration at depth by incorporating spatial light modulation imaging in fluorescence as well as reflectance modes. These techniques will also be extended to emerging fluorophores with excitation/emission spectra covering near-infrared wavelengths, which may ultimately have more potential than PpIX, and to enable simultaneous quantitative imaging of concentrations of multiple fluorophores. By the end of the proposed funding period, we will have implemented and evaluated wide-field qFI and dFI techniques in human surgeries and expect to demonstrate that these innovations improve surgical outcomes when added to vFI in a prospective enrollment of patients with malignant glioma.

Public Health Relevance

This application is a revised competing renewal for a second funding period to support the development and evaluation of fluorescence imaging (FI) in guiding the resection of intracranial tumor. In the second phase of funding, patients will be enrolled into clinical studies of ALA-induced PpIX FI to generate the data required to determine the probability of tumor for a given quantitative value of PpIX concentration. Preclinical studies will provide the testing ground the technical developments of wide-field quantitative FI (qFI) and wide-field depth- resolved FI (dFI), and ultimately their combination. These developments will set the stage for prospective clinical enrollments designed to evaluate the addition of qFI and dFI to visual fluorescence imaging (vFI) when surgical accuracy is evaluated intra- and post-operatively with conventional methods.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS052274-09
Application #
9247253
Study Section
Special Emphasis Panel (ZRG1-SBIB-Z (03)S)
Program Officer
Fountain, Jane W
Project Start
2005-07-01
Project End
2018-11-30
Budget Start
2016-12-01
Budget End
2017-11-30
Support Year
9
Fiscal Year
2017
Total Cost
$460,664
Indirect Cost
$127,007
Name
Dartmouth College
Department
Surgery
Type
Schools of Medicine
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
Sibai, Mira; Wirth, Dennis J; Leblond, Frederic et al. (2018) Quantitative Sub-Surface Spatial Frequency-Domain Fluorescence Imaging for Enhanced Glioma Resection. J Biophotonics :e201800271
Marois, Mikael; Jacques, Steven L; Paulsen, Keith D (2018) Optimal wavelength selection for optical spectroscopy of hemoglobin and water within a simulated light-scattering tissue. J Biomed Opt 23:1-5
Roberts, David W; Olson, Jonathan D; Evans, Linton T et al. (2018) Red-light excitation of protoporphyrin IX fluorescence for subsurface tumor detection. J Neurosurg 128:1690-1697
Sibai, Mira; Fisher, Carl; Veilleux, Israel et al. (2017) Preclinical evaluation of spatial frequency domain-enabled wide-field quantitative imaging for enhanced glioma resection. J Biomed Opt 22:76007
Bravo, J J; Olson, J D; Davis, S C et al. (2017) Hyperspectral data processing improves PpIX contrast during fluorescence guided surgery of human brain tumors. Sci Rep 7:9455
Roberts, David W; Olson, Jonathan (2017) Fluorescein Guidance in Glioblastoma Resection. N Engl J Med 376:e36
Elliott, Jonathan T; Marra, Kayla; Evans, Linton T et al. (2017) SimultaneousIn VivoFluorescent Markers for Perfusion, Protoporphyrin Metabolism, and EGFR Expression for Optically Guided Identification of Orthotopic Glioma. Clin Cancer Res 23:2203-2212
Wirth, Dennis; Kolste, Kolbein; Kanick, Stephen et al. (2017) Fluorescence depth estimation from wide-field optical imaging data for guiding brain tumor resection: a multi-inclusion phantom study. Biomed Opt Express 8:3656-3670
Bravo, Jaime J; Paulsen, Keith D; Roberts, David W et al. (2016) Sub-diffuse optical biomarkers characterize localized microstructure and function of cortex and malignant tumor. Opt Lett 41:781-4
Elliott, Jonathan T; Dsouza, Alisha V; Marra, Kayla et al. (2016) Microdose fluorescence imaging of ABY-029 on an operating microscope adapted by custom illumination and imaging modules. Biomed Opt Express 7:3280-3288

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