Quantitative, spectrally-resolved intraoperative fluorescence imaging

Intraoperative visual fluorescence imaging (vFI) has emerged as a promising aid to surgical guidance, but does not fully exploit the potential of the fluorescent agents that are currently available. Here, we introduce a quantitative fluorescence imaging (qFI) approach that converts spectrally-resolved data into images of absolute fluorophore concentration pixel-by-pixel across the surgical field of view (FOV). The resulting estimates are linear, accurate, and precise relative to true values, and spectral decomposition of multiple fluorophores is also achieved. Experiments with protoporphyrin IX in a glioma rodent model demonstrate in vivo quantitative and spectrally-resolved fluorescence imaging of infiltrating tumor margins for the first time. Moreover, we present images from human surgery which detect residual tumor not evident with state-of-the-art vFI. The wide-field qFI technique has broad implications for intraoperative surgical guidance because it provides near real-time quantitative assessment of multiple fluorescent biomarkers across the operative field.

[1]  Irving Itzkan,et al.  Multispectral scanning during endoscopy guides biopsy of dysplasia in Barrett's esophagus , 2010, Nature Medicine.

[2]  T. C. Kriss,et al.  History of the operating microscope: from magnifying glass to microneurosurgery. , 1998, Neurosurgery.

[3]  R. Bradley,et al.  A review of attenuation correction techniques for tissue fluorescence , 2006, Journal of The Royal Society Interface.

[4]  Victor Reuter,et al.  Variations among individual surgeons in the rate of positive surgical margins in radical prostatectomy specimens. , 2003, The Journal of urology.

[5]  Santosh Kesari,et al.  Malignant gliomas in adults. , 2008, The New England journal of medicine.

[6]  W. Hickey,et al.  Current review of in vivo GBM rodent models: emphasis on the CNS-1 tumour model , 2011, ASN neuro.

[7]  Xiaoyao Fan,et al.  Quantitative fluorescence in intracranial tumor: implications for ALA-induced PpIX as an intraoperative biomarker. , 2011, Journal of neurosurgery.

[8]  P. Carroll,et al.  Utility of intraoperative frozen section analysis of surgical margins in region of neurovascular bundles at radical prostatectomy. , 2002, Urology.

[9]  Vasilis Ntziachristos,et al.  Intra-arterial catheter for simultaneous microstructural and molecular imaging in vivo , 2011, Nature Medicine.

[10]  B. Scheithauer,et al.  The 2007 WHO classification of tumours of the central nervous system , 2007, Acta Neuropathologica.

[11]  N. Pouratian,et al.  Surgery Insight: the role of surgery in the management of low-grade gliomas , 2007, Nature Clinical Practice Neurology.

[12]  M. Kattan,et al.  Prognostic impact of positive surgical margins in surgically treated prostate cancer: multi-institutional assessment of 5831 patients. , 2005, Urology.

[13]  R. Weissleder,et al.  Imaging in the era of molecular oncology , 2008, Nature.

[14]  Brian W Pogue,et al.  Review of Neurosurgical Fluorescence Imaging Methodologies , 2010, IEEE Journal of Selected Topics in Quantum Electronics.

[15]  E. Sevick-Muraca,et al.  Quantitative optical spectroscopy for tissue diagnosis. , 1996, Annual review of physical chemistry.

[16]  R. Barnard The classification of tumours of the central nervous system. , 1982, Neuropathology and applied neurobiology.

[17]  Keith D. Paulsen,et al.  δ-aminolevulinic acid-induced protoporphyrin IX concentration correlates with histopathologic markers of malignancy in human gliomas: the need for quantitative fluorescence-guided resection to identify regions of increasing malignancy. , 2011, Neuro-oncology.

[18]  M. Viergever,et al.  Neuronavigation and surgery of intracerebral tumours , 2006, Journal of Neurology.

[19]  V. Ntziachristos Going deeper than microscopy: the optical imaging frontier in biology , 2010, Nature Methods.

[20]  M. Berger,et al.  GLIOMA EXTENT OF RESECTION AND ITS IMPACT ON PATIENT OUTCOME , 2008, Neurosurgery.

[21]  Jason R. Gunn,et al.  In Vivo Quantification of Tumor Receptor Binding Potential with Dual-Reporter Molecular Imaging , 2012, Molecular Imaging and Biology.

[22]  Vasilis Ntziachristos,et al.  Current concepts and future perspectives on surgical optical imaging in cancer. , 2010, Journal of biomedical optics.

[23]  R L Galloway,et al.  The process and development of image-guided procedures. , 2001, Annual review of biomedical engineering.

[24]  Mamta Khurana,et al.  Quantification of in vivo fluorescence decoupled from the effects of tissue optical properties using fiber-optic spectroscopy measurements. , 2010, Journal of biomedical optics.

[25]  B. E. F. Isher,et al.  Twenty-year follow-up of a randomized trial comparing total mastectomy, lumpectomy, and lumpectomy plus irradiation for the treatment of invasive breast cancer. , 2002 .

[26]  G. Andriole,et al.  Prognostic Impact of Positive Surgical Margins in Surgically Treated Prostate Cancer: Multi-institutional Assessment of 5831 Patients , 2006 .

[27]  K D Paulsen,et al.  A spectrally constrained dual-band normalization technique for protoporphyrin IX quantification in fluorescence-guided surgery. , 2012, Optics letters.

[28]  F. Zanella,et al.  Fluorescence-guided surgery with 5-aminolevulinic acid for resection of malignant glioma: a randomised controlled multicentre phase III trial. , 2006, The Lancet. Oncology.

[29]  Stephen Yip,et al.  Molecular pathology in adult gliomas: diagnostic, prognostic, and predictive markers , 2010, The Lancet Neurology.

[30]  S. Jeffrey,et al.  The importance of the lumpectomy surgical margin status in long term results of breast conservation , 1995, Cancer.

[31]  P. Low,et al.  Intraoperative tumor-specific fluorescence imaging in ovarian cancer by folate receptor-α targeting: first in-human results , 2011, Nature Medicine.

[32]  Beth Friedman,et al.  Fluorescent peptides highlight peripheral nerves during surgery in mice , 2011, Nature Biotechnology.