Details

Autor(en) / Beteiligte

• Yashin, Konstantin S
• Kiseleva, Elena B
• Gubarkova, Ekaterina V
• Moiseev, Alexander A
• Kuznetsov, Sergey S
• Shilyagin, Pavel A
• Gelikonov, Grigory V
• Medyanik, Igor A
• Kravets, Leonid Ya
• Potapov, Alexander A
• Zagaynova, Elena V
• Gladkova, Natalia D

Titel

Cross-Polarization Optical Coherence Tomography for Brain Tumor Imaging

Ist Teil von

• Frontiers in oncology, 2019-04, Vol.9, p.201-201

Ort / Verlag

Switzerland: Frontiers Media S.A

Erscheinungsjahr

2019

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• This paper considers valuable visual assessment criteria for distinguishing between tumorous and non-tumorous tissues, intraoperatively, using cross-polarization OCT (CP OCT)-OCT with a functional extension, that enables detection of the polarization properties of the tissues in addition to their conventional light scattering. The study was performed on 176 human specimens obtained from 30 glioma patients. To measure the degree to which the typical parameters of CP OCT images can be matched to the actual histology, 100 images of tumors and white matter were selected for visual analysis to be undertaken by three "single-blinded" investigators. An evaluation of the inter-rater reliability between the investigators was performed. Application of the identified visual CP OCT criteria for intraoperative use was performed during brain tumor resection in 17 patients. The CP OCT image parameters that can typically be used for visual assessment were separated: (1) signal intensity; (2) homogeneity of intensity; (3) attenuation rate; (4) uniformity of attenuation. The degree of match between the CP OCT images and the histology of the specimens was significant for the parameters "signal intensity" in both polarizations, and "homogeneity of intensity" as well as the "uniformity of attenuation" in co-polarization. A test based on the identified criteria showed a diagnostic accuracy of 87-88%. Intraoperative CP OCT images of white matter and tumors have similar signals to ones, whereas the cortex is characterized by indicative vertical striations arising from the "shadows" of the blood vessels; these are not seen in images or in the case of tumor invasion. Visual assessment of CP OCT images enables tumorous and non-tumorous tissues to be distinguished. The most powerful aspect of CP OCT images that can be used as a criterion for differentiation between tumorous tissue and white matter is the signal intensity. In distinguishing white matter from tumors the diagnostic accuracy using the identified visual CP OCT criteria was 87-88%. As the CP OCT data is easily associated with intraoperative neurophysiological and neuronavigation findings this can provide valuable complementary information for the neurosurgeon tumor resection.