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3 June 2019 Diagnostic of gastric pre-cancer with complexity analysis
Alexey Pavlov, Ekaterina Borisova, Olga Pavlova, Ilana Agranovich, Alexander Khorovodov, Andrey Terskov, Aysel Mamedova, Maria Klimova, Oxana Semyachkina-Glushkovskaya
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Proceedings Volume 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions; 110670K (2019) https://doi.org/10.1117/12.2522421
Event: International Symposium on Optics and Biophotonics VI: Saratov Fall Meeting 2018, 2018, Saratov, Russian Federation
Abstract
Gastric cancer often appears without preliminary symptoms that could be detected and recognized at early stages. Its diagnostic is sometime provided based on photodynamic techniques, although the latter are restricted by quite poor tumor selectivity. Due to this, additional experimental and data processing tools are required to improve diagnostic abilities. In this study we analyze how complexity measures can detect early changes in the normal gastric microcirculation. We apply a recently developed approach based on the multiscale entropy and show that the estimated measures of SampEn related to distinct ranges of scales enable the detection of early gastric cancer that is in accordance with the results of histological analysis.
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Alexey Pavlov, Ekaterina Borisova, Olga Pavlova, Ilana Agranovich, Alexander Khorovodov, Andrey Terskov, Aysel Mamedova, Maria Klimova, and Oxana Semyachkina-Glushkovskaya "Diagnostic of gastric pre-cancer with complexity analysis", Proc. SPIE 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 110670K (3 June 2019); https://doi.org/10.1117/12.2522421
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KEYWORDS
Cancer
Diagnostics
Animal model studies
Tumors
Stomach
Data processing
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