Non-linear dynamics theory and malignant melanoma
Summary. Chaos theory (nonlinear dynamics) defines cancer as a complex adaptive system in which each cyclic point corresponds to the bifurcation at which changes in signaling pathways emerge. Quantitative assessment of chaos in digital medical images such as electron microscopy, histology and cytolo...
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| Datum: | 2023 |
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PH Akademperiodyka
2023
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| Назва журналу: | Experimental Oncology |
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Experimental Oncology| _version_ | 1856543519762546688 |
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| author | Orel, V.E. Korovin, S.I. Molnár, J. Orel, V.B. |
| author_facet | Orel, V.E. Korovin, S.I. Molnár, J. Orel, V.B. |
| author_sort | Orel, V.E. |
| baseUrl_str | |
| collection | OJS |
| datestamp_date | 2023-10-11T16:42:06Z |
| description | Summary. Chaos theory (nonlinear dynamics) defines cancer as a complex adaptive system in which each cyclic point corresponds to the bifurcation at which changes in signaling pathways emerge. Quantitative assessment of chaos in digital medical images such as electron microscopy, histology and cytology sections collected from patients with malignant cutaneous melanoma employed the following calculation parameters: the irregularity of external contours, internal heterogeneity based on brightness distribution of macromolecules, chromosomes, organelles, inclusion bodies, cells and tissues, kurtosis, entropy and the asymmetry coefficient. The present study undertook a nonlinear analysis of the chaotic hierarchy of malignant melanoma. However, considerably more studies will need to be carried out to determine the exact interrelationship between different levels of the hierarchy in the biological system. Multidisciplinary collaborations are therefore essential to find evidence to answer questions that remain open to researchers and oncologists. |
| first_indexed | 2025-07-17T12:16:40Z |
| format | Article |
| id | oai:ojs2.ex.aqua-time.com.ua:article-218 |
| institution | Experimental Oncology |
| language | English |
| last_indexed | 2025-07-17T12:16:40Z |
| publishDate | 2023 |
| publisher | PH Akademperiodyka |
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| spelling | oai:ojs2.ex.aqua-time.com.ua:article-2182023-10-11T16:42:06Z Non-linear dynamics theory and malignant melanoma Non-linear dynamics theory and malignant melanoma Orel, V.E. Korovin, S.I. Molnár, J. Orel, V.B. cancer, chaos (nonlinear dynamics), hierarchical levels, melanoma cancer, chaos (nonlinear dynamics), hierarchical levels, melanoma Summary. Chaos theory (nonlinear dynamics) defines cancer as a complex adaptive system in which each cyclic point corresponds to the bifurcation at which changes in signaling pathways emerge. Quantitative assessment of chaos in digital medical images such as electron microscopy, histology and cytology sections collected from patients with malignant cutaneous melanoma employed the following calculation parameters: the irregularity of external contours, internal heterogeneity based on brightness distribution of macromolecules, chromosomes, organelles, inclusion bodies, cells and tissues, kurtosis, entropy and the asymmetry coefficient. The present study undertook a nonlinear analysis of the chaotic hierarchy of malignant melanoma. However, considerably more studies will need to be carried out to determine the exact interrelationship between different levels of the hierarchy in the biological system. Multidisciplinary collaborations are therefore essential to find evidence to answer questions that remain open to researchers and oncologists. Summary. Chaos theory (nonlinear dynamics) defines cancer as a complex adaptive system in which each cyclic point corresponds to the bifurcation at which changes in signaling pathways emerge. Quantitative assessment of chaos in digital medical images such as electron microscopy, histology and cytology sections collected from patients with malignant cutaneous melanoma employed the following calculation parameters: the irregularity of external contours, internal heterogeneity based on brightness distribution of macromolecules, chromosomes, organelles, inclusion bodies, cells and tissues, kurtosis, entropy and the asymmetry coefficient. The present study undertook a nonlinear analysis of the chaotic hierarchy of malignant melanoma. However, considerably more studies will need to be carried out to determine the exact interrelationship between different levels of the hierarchy in the biological system. Multidisciplinary collaborations are therefore essential to find evidence to answer questions that remain open to researchers and oncologists. PH Akademperiodyka 2023-06-02 Article Article application/pdf https://exp-oncology.com.ua/index.php/Exp/article/view/2019-4-8 10.32471/exp-oncology.2312-8852.vol-41-no-4.13672 Experimental Oncology; Vol. 41 No. 4 (2019): Experimental Oncology; 291-299 Експериментальна онкологія; Том 41 № 4 (2019): Експериментальна онкологія; 291-299 2312-8852 1812-9269 10.32471/exp-oncology.2312-8852.vol-41-no-4 en https://exp-oncology.com.ua/index.php/Exp/article/view/2019-4-8/2019-4-8 Copyright (c) 2023 Experimental Oncology https://creativecommons.org/licenses/by-nc/4.0/ |
| spellingShingle | cancer chaos (nonlinear dynamics) hierarchical levels melanoma Orel, V.E. Korovin, S.I. Molnár, J. Orel, V.B. Non-linear dynamics theory and malignant melanoma |
| title | Non-linear dynamics theory and malignant melanoma |
| title_alt | Non-linear dynamics theory and malignant melanoma |
| title_full | Non-linear dynamics theory and malignant melanoma |
| title_fullStr | Non-linear dynamics theory and malignant melanoma |
| title_full_unstemmed | Non-linear dynamics theory and malignant melanoma |
| title_short | Non-linear dynamics theory and malignant melanoma |
| title_sort | non-linear dynamics theory and malignant melanoma |
| topic | cancer chaos (nonlinear dynamics) hierarchical levels melanoma |
| topic_facet | cancer chaos (nonlinear dynamics) hierarchical levels melanoma cancer chaos (nonlinear dynamics) hierarchical levels melanoma |
| url | https://exp-oncology.com.ua/index.php/Exp/article/view/2019-4-8 |
| work_keys_str_mv | AT orelve nonlineardynamicstheoryandmalignantmelanoma AT korovinsi nonlineardynamicstheoryandmalignantmelanoma AT molnarj nonlineardynamicstheoryandmalignantmelanoma AT orelvb nonlineardynamicstheoryandmalignantmelanoma |