The fluorescent tracer 5-aminolevulinc acid was introduced to visualize brain tumors intraoperatively, but suffers from drawbacks such as limited sensitivity for certain tumor types. Optical coherence tomography (OCT) is a non-invasive imaging modality, which has recently found its application in neuroscience by contributing label-free tissue information. We present one of the first radiomics-based analyses to capture the form and texture of glioma samples resected during fluorescence-guided surgery in a large cohort of multimodal OCT-based microscopy (OCM) imaging data. Concluding, we report encouraging results for the prediction of tumor infiltration, entity and molecular biomarkers with accuracies as high as 96%.
Protoporphyrin IX (PpIX) fluorescence-guided surgery has established as a standard for resecting malign glioma. However, low-grade glioma or sparsely infiltrated brain often emit weak PpIX fluorescence and are hard to distinguish from non-pathological tissue. Furthermore, spectrally overlapping autofluorescence inherently limits the sensitivity of fluorescence-intensity based PpIX detection. We therefore integrated frequency-domain fluorescence lifetime imaging together with a spectrometer in a surgical microscope. When analyzing human glioma samples ex vivo, weak PpIX fluorescence could be differentiated from the autofluorescence background through increased lifetimes. Characteristic peaks in the spectral measurements (635, 705nm) confirmed low concentrations of PpIX in the tissue.
Maximal safe resection is key to prolonging overall survival during intracranial surgery. Capabilities of optical coherence tomography (OCT) to discriminate tissue types have been previously reported. We utilized an OCT-based microscope (OCM) to acquire reflectivity data of resected brain tumor samples and perform textural analyses. Twelve features showed statistically significant differences between different tissue types. Three of those – contrast, energy and entropy – are described in detail in this work. Contrast and entropy increased with tissue malignancy, and energy decreased. These results suggest that OCM data-based textural analyses are capable of differentiating different tissue types based on their intrinsic structures.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.