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Qualitative and quantitative assessment criteria of cross-polarization optical coherence tomography images for differentiation glioma and white matter
Author(s): ,
K.S. Yashin
Affiliations:
Privolzhsky Research Medical University, Department of Neurosurgery, Nizhny Novgorod, Russian Federation
,
E.B. Kiseleva
Affiliations:
Privolzhsky Research Medical University, Institute of Biomedical Technologies, Nizhny Novgorod, Russian Federation
,
A.A. Moiseev
Affiliations:
Institute of Applied Physics of the Russian Academy of Sciences, Nizhny Novgorod, Russian Federation
,
S.S. Kuznetsov
Affiliations:
Privolzhsky Research Medical University, Department of Pathology, Nizhny Novgorod, Russian Federation
,
I.A. Medyanik
Affiliations:
Privolzhsky Research Medical University, Department of Neurosurgery, Nizhny Novgorod, Russian Federation
,
L.Y. Kravets
Affiliations:
Privolzhsky Research Medical University, Department of Neurosurgery, Nizhny Novgorod, Russian Federation
N.D. Gladkova
Affiliations:
Privolzhsky Research Medical University, Institute of Biomedical Technologies, Nizhny Novgorod, Russian Federation
EANS Academy. Yashin K. Oct 21, 2018; 225694; EP12026
Konstantin Yashin
Konstantin Yashin
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Abstract
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Optical coherence tomography (OCT) is a promising method of glial tumors borders diagnostics. Nowadays it is possible to use hand-held and microscope mounted OCT devices during tumor removal. But still there are no clearly criteria of OCT images for differentiation between different tissue types.
The study was aimed to evaluate qualitative (visual) and quantitative assessment criteria of microstructural ex vivo CP OCT images for differentiation glioma and white matter
Materials and Methods. The study was performed on ex vivo specimens from 30 patients with gliomas with different degrees of malignancy. Using the CP OCT device 176 samples were studied. The 100 CP OCT images were selected to measure association degree between typical parameters of image and the histological data using visual “blinded” evaluation. The quantitative assessment based on the calculation of the attenuation coefficient (µ) for 95 CP OCT images.
Results. The visual analysis of CP OCT images allowed to separate the typical signal signs of tumorous tissue and white matter using four parameters with two response options: (1) the signal intensity (“intense”/”non intense”); (2) the homogeneity of intensity (“homogeneous”/”heterogeneous”); (3) attenuation rate (“high”/”low”); (4) the evenness of attenuation (“uniform”/”nonuniform”). The most powerful criteria of visual assessment for differention between tumor and white matter were “signal intensity” in both polarization with higher association degree and inter-rater reliability rate between investigators. The diagnostic accuracy was 87-88%.
The quantitative assessment of CP OCT data showed statistically significant (p< 0,0001) differences between white matter (µ=10,0) and astrocytomas Grade I-II (µ=5,3), Grade III (µ=4,8), Grade IV (µ=7,8). The diagnostic accuracy was 96% for gliomas Grade I-III and 89% for glioblastoma.
Conclusion. Developing qualitative (visual) and quantitative assessment criteria allows considering CP OCT is as a promising imaging tool for glioma surgery.
Acknowledgments. The work was supported by grant No.16-15-10391 from the Russian Scientific Foundation.
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