In Silico Mathematical Modelling for Glioblastoma: A Critical Review and a Patient-Specific Case
Glioblastoma extensively infiltrates the brain; despite surgery and aggressive therapies, the prognosis is poor. A multidisciplinary approach combining mathematical, clinical and radiological data has the potential to foster our understanding of glioblastoma evolution in every single patient, with t...
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-05-01
|
| Series: | Journal of Clinical Medicine |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0383/10/10/2169 |
| _version_ | 1797533724296871936 |
|---|---|
| author | Jacopo Falco Abramo Agosti Ignazio G. Vetrano Alberto Bizzi Francesco Restelli Morgan Broggi Marco Schiariti Francesco DiMeco Paolo Ferroli Pasquale Ciarletta Francesco Acerbi |
| author_facet | Jacopo Falco Abramo Agosti Ignazio G. Vetrano Alberto Bizzi Francesco Restelli Morgan Broggi Marco Schiariti Francesco DiMeco Paolo Ferroli Pasquale Ciarletta Francesco Acerbi |
| author_sort | Jacopo Falco |
| collection | DOAJ |
| description | Glioblastoma extensively infiltrates the brain; despite surgery and aggressive therapies, the prognosis is poor. A multidisciplinary approach combining mathematical, clinical and radiological data has the potential to foster our understanding of glioblastoma evolution in every single patient, with the aim of tailoring therapeutic weapons. In particular, the ultimate goal of biomathematics for cancer is the identification of the most suitable theoretical models and simulation tools, both to describe the biological complexity of carcinogenesis and to predict tumor evolution. In this report, we describe the results of a critical review about different mathematical models in neuro-oncology with their clinical implications. A comprehensive literature search and review for English-language articles concerning mathematical modelling in glioblastoma has been conducted. The review explored the different proposed models, classifying them and indicating the significative advances of each one. Furthermore, we present a specific case of a glioblastoma patient in which our recently proposed innovative mechanical model has been applied. The results of the mathematical models have the potential to provide a relevant benefit for clinicians and, more importantly, they might drive progress towards improving tumor control and patient’s prognosis. Further prospective comparative trials, however, are still necessary to prove the impact of mathematical neuro-oncology in clinical practice. |
| first_indexed | 2024-03-10T11:19:40Z |
| format | Article |
| id | doaj.art-0d8be02628fc47b79d82d2e3a0c4576f |
| institution | Directory Open Access Journal |
| issn | 2077-0383 |
| language | English |
| last_indexed | 2024-03-10T11:19:40Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Clinical Medicine |
| spelling | doaj.art-0d8be02628fc47b79d82d2e3a0c4576f2023-11-21T20:07:55ZengMDPI AGJournal of Clinical Medicine2077-03832021-05-011010216910.3390/jcm10102169In Silico Mathematical Modelling for Glioblastoma: A Critical Review and a Patient-Specific CaseJacopo Falco0Abramo Agosti1Ignazio G. Vetrano2Alberto Bizzi3Francesco Restelli4Morgan Broggi5Marco Schiariti6Francesco DiMeco7Paolo Ferroli8Pasquale Ciarletta9Francesco Acerbi10Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, ItalyMOX, Department of Mathematics, Politecnico di Milano, 20133 Milan, ItalyDepartment of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, ItalyDepartment of Neuroradiology, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, ItalyDepartment of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, ItalyDepartment of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, ItalyDepartment of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, ItalyDepartment of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, ItalyDepartment of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, ItalyMOX, Department of Mathematics, Politecnico di Milano, 20133 Milan, ItalyDepartment of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, ItalyGlioblastoma extensively infiltrates the brain; despite surgery and aggressive therapies, the prognosis is poor. A multidisciplinary approach combining mathematical, clinical and radiological data has the potential to foster our understanding of glioblastoma evolution in every single patient, with the aim of tailoring therapeutic weapons. In particular, the ultimate goal of biomathematics for cancer is the identification of the most suitable theoretical models and simulation tools, both to describe the biological complexity of carcinogenesis and to predict tumor evolution. In this report, we describe the results of a critical review about different mathematical models in neuro-oncology with their clinical implications. A comprehensive literature search and review for English-language articles concerning mathematical modelling in glioblastoma has been conducted. The review explored the different proposed models, classifying them and indicating the significative advances of each one. Furthermore, we present a specific case of a glioblastoma patient in which our recently proposed innovative mechanical model has been applied. The results of the mathematical models have the potential to provide a relevant benefit for clinicians and, more importantly, they might drive progress towards improving tumor control and patient’s prognosis. Further prospective comparative trials, however, are still necessary to prove the impact of mathematical neuro-oncology in clinical practice.https://www.mdpi.com/2077-0383/10/10/2169biomathematicscancer modellingdiffusion tensor imagingglioblastomain silicopersonalized neuro-oncology |
| spellingShingle | Jacopo Falco Abramo Agosti Ignazio G. Vetrano Alberto Bizzi Francesco Restelli Morgan Broggi Marco Schiariti Francesco DiMeco Paolo Ferroli Pasquale Ciarletta Francesco Acerbi In Silico Mathematical Modelling for Glioblastoma: A Critical Review and a Patient-Specific Case Journal of Clinical Medicine biomathematics cancer modelling diffusion tensor imaging glioblastoma in silico personalized neuro-oncology |
| title | In Silico Mathematical Modelling for Glioblastoma: A Critical Review and a Patient-Specific Case |
| title_full | In Silico Mathematical Modelling for Glioblastoma: A Critical Review and a Patient-Specific Case |
| title_fullStr | In Silico Mathematical Modelling for Glioblastoma: A Critical Review and a Patient-Specific Case |
| title_full_unstemmed | In Silico Mathematical Modelling for Glioblastoma: A Critical Review and a Patient-Specific Case |
| title_short | In Silico Mathematical Modelling for Glioblastoma: A Critical Review and a Patient-Specific Case |
| title_sort | in silico mathematical modelling for glioblastoma a critical review and a patient specific case |
| topic | biomathematics cancer modelling diffusion tensor imaging glioblastoma in silico personalized neuro-oncology |
| url | https://www.mdpi.com/2077-0383/10/10/2169 |
| work_keys_str_mv | AT jacopofalco insilicomathematicalmodellingforglioblastomaacriticalreviewandapatientspecificcase AT abramoagosti insilicomathematicalmodellingforglioblastomaacriticalreviewandapatientspecificcase AT ignaziogvetrano insilicomathematicalmodellingforglioblastomaacriticalreviewandapatientspecificcase AT albertobizzi insilicomathematicalmodellingforglioblastomaacriticalreviewandapatientspecificcase AT francescorestelli insilicomathematicalmodellingforglioblastomaacriticalreviewandapatientspecificcase AT morganbroggi insilicomathematicalmodellingforglioblastomaacriticalreviewandapatientspecificcase AT marcoschiariti insilicomathematicalmodellingforglioblastomaacriticalreviewandapatientspecificcase AT francescodimeco insilicomathematicalmodellingforglioblastomaacriticalreviewandapatientspecificcase AT paoloferroli insilicomathematicalmodellingforglioblastomaacriticalreviewandapatientspecificcase AT pasqualeciarletta insilicomathematicalmodellingforglioblastomaacriticalreviewandapatientspecificcase AT francescoacerbi insilicomathematicalmodellingforglioblastomaacriticalreviewandapatientspecificcase |