Cancers, Vol. 12, Pages 1806: Improved Diagnostic Imaging of Brain Tumors by Multimodal Microscopy and Deep Learning

Cancers, Vol. 12, Pages 1806: Improved Diagnostic Imaging of Brain Tumors by Multimodal Microscopy and Deep Learning Cancers doi: 10.3390/cancers12071806 Authors: Johanna Gesperger Antonia Lichtenegger Thomas Roetzer Matthias Salas Pablo Eugui Danielle J. Harper Conrad W. Merkle Marco Augustin Barbara Kiesel Petra A. Mercea Georg Widhalm Bernhard Baumann Adelheid Woehrer Fluorescence-guided surgery is a state-of-the-art approach for intraoperative imaging during neurosurgical removal of tumor tissue. While the visualization of high-grade gliomas is reliable, lower grade glioma often lack visible fluorescence signals. Here, we present a hybrid prototype combining visible light optical coherence microscopy (OCM) and high-resolution fluorescence imaging for assessment of brain tumor samples acquired by 5-aminolevulinic acid (5-ALA) fluorescence-guided surgery. OCM provides high-resolution information of the inherent tissue scattering and absorption properties of tissue. We here explore quantitative attenuation coefficients derived from volumetric OCM intensity data and quantitative high-resolution 5-ALA fluorescence as potential biomarkers for tissue malignancy including otherwise difficult-to-assess low-grade glioma. We validate our findings against the gold standard histology and use attenuation and fluorescence intensity measures to differentiate between tumor core, infiltrative zone and adjacent brain tissue. Using large field-of-view scans ac...
Source: Cancers - Category: Cancer & Oncology Authors: Tags: Article Source Type: research