Combined fluorescence and reflectance spectroscopy for in vivo quantification of cancer biomarkers in low - and high- grade glioma surgery

Biomarkers are indicators of biological processes and hold promise for the diagnosis and treatment of disease. Gliomas represent a heterogeneous group of brain tumors with marked intra- and inter-tumor variability. The extent of surgical resection is a significant factor influencing post-surgical re...

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Detalles Bibliográficos
Autores: Valdés, Pablo A., Kim, Anthony, Leblond, Frederic, Conde Portilla, Olga María|||0000-0002-2471-3051, Harris, Brent T., Paulsen, Keith D., Wilson, Brian C., Roberts, David W.
Tipo de recurso: artículo
Fecha de publicación:2011
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/1734
Acceso en línea:http://hdl.handle.net/10902/1734
Access Level:acceso abierto
Palabra clave:5-aminolevulinic acid
Protoporphyrin IX
Fluorescence-guided resection
Optical spectroscopy
Glioma
Cancer biomarkers
Descripción
Sumario:Biomarkers are indicators of biological processes and hold promise for the diagnosis and treatment of disease. Gliomas represent a heterogeneous group of brain tumors with marked intra- and inter-tumor variability. The extent of surgical resection is a significant factor influencing post-surgical recurrence and prognosis. Here, we used fluorescence and reflectance spectral signatures for in vivo quantification of multiple biomarkers during glioma surgery, with fluorescence contrast provided by exogenously-induced protoporphyrin IX (PpIX) following administration of 5-aminolevulinic acid. We performed light-transport modeling to quantify multiple biomarkers indicative of tumor biological processes, including the local concentration of PpIX and associated photoproducts, total hemoglobin concentration, oxygen saturation, and optical scattering parameters.We developed a diagnostic algorithm for intra-operative tissue delineation that accounts for the combined tumor-specific predictive capabilities of these quantitative biomarkers. Tumor tissue delineation achieved accuracies of up to 94% (specificity=94%, sensitivity=94%) across a range of glioma histologies beyond current state-of-the-art optical approaches, including state-of-the-art fluorescence image guidance. This multiple biomarker strategy opens the door to optical methods for surgical guidance that use quantification of well-established neoplastic processes. Future work would seek to validate the predictive power of this proof-of-concept study in a separate larger cohort of patients.