Optical Differentiation of Brain Tumors Based on Raman Spectroscopy and Cluster Analysis Methods
In the present study, various combinations of dimensionality reduction methods with data clustering methods for the analysis of biopsy samples of intracranial tumors were investigated. Fresh biopsies of intracranial tumors were studied in the Laboratory of Neurosurgical Anatomy and Preservation of B...
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| Format: | Article |
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MDPI AG
2023-09-01
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| Series: | International Journal of Molecular Sciences |
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| Online Access: | https://www.mdpi.com/1422-0067/24/19/14432 |
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| author | Anuar Ospanov Igor Romanishkin Tatiana Savelieva Alexandra Kosyrkova Svetlana Shugai Sergey Goryaynov Galina Pavlova Igor Pronin Victor Loschenov |
| author_facet | Anuar Ospanov Igor Romanishkin Tatiana Savelieva Alexandra Kosyrkova Svetlana Shugai Sergey Goryaynov Galina Pavlova Igor Pronin Victor Loschenov |
| author_sort | Anuar Ospanov |
| collection | DOAJ |
| description | In the present study, various combinations of dimensionality reduction methods with data clustering methods for the analysis of biopsy samples of intracranial tumors were investigated. Fresh biopsies of intracranial tumors were studied in the Laboratory of Neurosurgical Anatomy and Preservation of Biological Materials of N.N. Burdenko Neurosurgery Medical Center no later than 4 h after surgery. The spectra of Protoporphyrin IX (Pp IX) fluorescence, diffuse reflectance (DR) and Raman scattering (RS) of biopsy samples were recorded. Diffuse reflectance studies were carried out using a white light source in the visible region. Raman scattering spectra were obtained using a 785 nm laser. Patients diagnosed with meningioma, glioblastoma, oligodendroglioma, and astrocytoma were studied. We used the cluster analysis method to detect natural clusters in the data sample presented in the feature space formed based on the spectrum analysis. For data analysis, four clustering algorithms with eight dimensionality reduction algorithms were considered. |
| first_indexed | 2024-03-10T21:44:01Z |
| format | Article |
| id | doaj.art-bf33735c44d04a58a3d2f6532039385c |
| institution | Directory Open Access Journal |
| issn | 1661-6596 1422-0067 |
| language | English |
| last_indexed | 2024-03-10T21:44:01Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | International Journal of Molecular Sciences |
| spelling | doaj.art-bf33735c44d04a58a3d2f6532039385c2023-11-19T14:26:28ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672023-09-0124191443210.3390/ijms241914432Optical Differentiation of Brain Tumors Based on Raman Spectroscopy and Cluster Analysis MethodsAnuar Ospanov0Igor Romanishkin1Tatiana Savelieva2Alexandra Kosyrkova3Svetlana Shugai4Sergey Goryaynov5Galina Pavlova6Igor Pronin7Victor Loschenov8Institute for Physics and Engineering in Biomedicine, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), 115409 Moscow, RussiaProkhorov General Physics Institute of the Russian Academy of Sciences, 119991 Moscow, RussiaInstitute for Physics and Engineering in Biomedicine, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), 115409 Moscow, RussiaDepartment of Cryopreservation and Molecular Genetic Analysis, N.N. Burdenko National Medical Research Center of Neurosurgery, 125047 Moscow, RussiaDepartment of Cryopreservation and Molecular Genetic Analysis, N.N. Burdenko National Medical Research Center of Neurosurgery, 125047 Moscow, RussiaDepartment of Cryopreservation and Molecular Genetic Analysis, N.N. Burdenko National Medical Research Center of Neurosurgery, 125047 Moscow, RussiaDepartment of Cryopreservation and Molecular Genetic Analysis, N.N. Burdenko National Medical Research Center of Neurosurgery, 125047 Moscow, RussiaDepartment of Cryopreservation and Molecular Genetic Analysis, N.N. Burdenko National Medical Research Center of Neurosurgery, 125047 Moscow, RussiaInstitute for Physics and Engineering in Biomedicine, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), 115409 Moscow, RussiaIn the present study, various combinations of dimensionality reduction methods with data clustering methods for the analysis of biopsy samples of intracranial tumors were investigated. Fresh biopsies of intracranial tumors were studied in the Laboratory of Neurosurgical Anatomy and Preservation of Biological Materials of N.N. Burdenko Neurosurgery Medical Center no later than 4 h after surgery. The spectra of Protoporphyrin IX (Pp IX) fluorescence, diffuse reflectance (DR) and Raman scattering (RS) of biopsy samples were recorded. Diffuse reflectance studies were carried out using a white light source in the visible region. Raman scattering spectra were obtained using a 785 nm laser. Patients diagnosed with meningioma, glioblastoma, oligodendroglioma, and astrocytoma were studied. We used the cluster analysis method to detect natural clusters in the data sample presented in the feature space formed based on the spectrum analysis. For data analysis, four clustering algorithms with eight dimensionality reduction algorithms were considered.https://www.mdpi.com/1422-0067/24/19/14432Raman scatteringdiffuse scatteringfluorescencespectroscopyintracranial tumorscluster analysis |
| spellingShingle | Anuar Ospanov Igor Romanishkin Tatiana Savelieva Alexandra Kosyrkova Svetlana Shugai Sergey Goryaynov Galina Pavlova Igor Pronin Victor Loschenov Optical Differentiation of Brain Tumors Based on Raman Spectroscopy and Cluster Analysis Methods International Journal of Molecular Sciences Raman scattering diffuse scattering fluorescence spectroscopy intracranial tumors cluster analysis |
| title | Optical Differentiation of Brain Tumors Based on Raman Spectroscopy and Cluster Analysis Methods |
| title_full | Optical Differentiation of Brain Tumors Based on Raman Spectroscopy and Cluster Analysis Methods |
| title_fullStr | Optical Differentiation of Brain Tumors Based on Raman Spectroscopy and Cluster Analysis Methods |
| title_full_unstemmed | Optical Differentiation of Brain Tumors Based on Raman Spectroscopy and Cluster Analysis Methods |
| title_short | Optical Differentiation of Brain Tumors Based on Raman Spectroscopy and Cluster Analysis Methods |
| title_sort | optical differentiation of brain tumors based on raman spectroscopy and cluster analysis methods |
| topic | Raman scattering diffuse scattering fluorescence spectroscopy intracranial tumors cluster analysis |
| url | https://www.mdpi.com/1422-0067/24/19/14432 |
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