Review of Template-Based Neuroimaging Tools in Neuro-Oncology: Novel Insights
<i>Background</i>: A common MRI reference space allows for easy communication of findings, and has led to high-impact discoveries in neuroscience. Brain MRI of neuro-oncology patients with mass lesions or surgical cavities can now be accurately transformed into reference space, allowing...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Onco |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-7523/3/1/1 |
| _version_ | 1827977855669108736 |
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| author | Jürgen Germann Andrew Yang Clement T. Chow Brendan Santyr Nardin Samuel Artur Vetkas Can Sarica Gavin J. B. Elias Mathew R. Voisin Walter Kucharczyk Gelareh Zadeh Andres M. Lozano Alexandre Boutet |
| author_facet | Jürgen Germann Andrew Yang Clement T. Chow Brendan Santyr Nardin Samuel Artur Vetkas Can Sarica Gavin J. B. Elias Mathew R. Voisin Walter Kucharczyk Gelareh Zadeh Andres M. Lozano Alexandre Boutet |
| author_sort | Jürgen Germann |
| collection | DOAJ |
| description | <i>Background</i>: A common MRI reference space allows for easy communication of findings, and has led to high-impact discoveries in neuroscience. Brain MRI of neuro-oncology patients with mass lesions or surgical cavities can now be accurately transformed into reference space, allowing for a reliable comparison across patients. Despite this, it is currently seldom used in neuro-oncology, leaving analytic tools untapped. The aim of this study was to systematically review the neuro-oncology literature utilizing reference space. <i>Methods</i>: A systematic review of the neuro-oncology publications was conducted according to PRISMA statement guidelines. Studies specially reporting the use of the Montreal Neurological Institute (MNI) reference space were included. Studies were categorized according to their type of input data and their contributions to the field. A sub-analysis focusing on connectomics and transcriptomics was also included. <i>Results</i>: We identified only 101 articles that utilized the MNI brain in neuro-oncology research. Tumor locations (<i>n</i> = 77) and direct electrocortical stimulation (<i>n</i> = 19) were the most common source of data. A majority of studies (<i>n</i> = 51) provided insights on clinical factors such as tumor subtype, growth progression, and prognosis. A small group of studies (<i>n</i> = 21) have used the novel connectomic and transcriptomic tools. <i>Conclusions</i>: Brain MRI of neuro-oncology patients can be accurately transformed to MNI space. This has contributed to enhance our understanding of a wide variety of clinical questions ranging from tumor subtyping to symptom mapping. Many advanced tools such as connectomics and transcriptomics remain relatively untapped, thereby hindering our knowledge of neuro-oncology. |
| first_indexed | 2024-04-09T21:11:38Z |
| format | Article |
| id | doaj.art-1be1211d58a84bfc88cc28a5ba623c53 |
| institution | Directory Open Access Journal |
| issn | 2673-7523 |
| language | English |
| last_indexed | 2024-04-09T21:11:38Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Onco |
| spelling | doaj.art-1be1211d58a84bfc88cc28a5ba623c532023-03-28T14:26:49ZengMDPI AGOnco2673-75232022-12-013111210.3390/onco3010001Review of Template-Based Neuroimaging Tools in Neuro-Oncology: Novel InsightsJürgen Germann0Andrew Yang1Clement T. Chow2Brendan Santyr3Nardin Samuel4Artur Vetkas5Can Sarica6Gavin J. B. Elias7Mathew R. Voisin8Walter Kucharczyk9Gelareh Zadeh10Andres M. Lozano11Alexandre Boutet12Division of Neurosurgery, Toronto Western Hospital, University of Toronto, Toronto, ON M5T 2S8, CanadaDivision of Neurosurgery, Toronto Western Hospital, University of Toronto, Toronto, ON M5T 2S8, CanadaDivision of Neurosurgery, Toronto Western Hospital, University of Toronto, Toronto, ON M5T 2S8, CanadaDivision of Neurosurgery, Toronto Western Hospital, University of Toronto, Toronto, ON M5T 2S8, CanadaDivision of Neurosurgery, Toronto Western Hospital, University of Toronto, Toronto, ON M5T 2S8, CanadaDivision of Neurosurgery, Toronto Western Hospital, University of Toronto, Toronto, ON M5T 2S8, CanadaDivision of Neurosurgery, Toronto Western Hospital, University of Toronto, Toronto, ON M5T 2S8, CanadaDivision of Neurosurgery, Toronto Western Hospital, University of Toronto, Toronto, ON M5T 2S8, CanadaDivision of Neurosurgery, Toronto Western Hospital, University of Toronto, Toronto, ON M5T 2S8, CanadaJoint Department of Medical Imaging, University of Toronto, Toronto, ON M5T 1W7, CanadaDepartment of Surgery, Division of Neurosurgery, University of Toronto, Toronto, ON M5T2S8, CanadaDivision of Neurosurgery, Toronto Western Hospital, University of Toronto, Toronto, ON M5T 2S8, CanadaJoint Department of Medical Imaging, University of Toronto, Toronto, ON M5T 1W7, Canada<i>Background</i>: A common MRI reference space allows for easy communication of findings, and has led to high-impact discoveries in neuroscience. Brain MRI of neuro-oncology patients with mass lesions or surgical cavities can now be accurately transformed into reference space, allowing for a reliable comparison across patients. Despite this, it is currently seldom used in neuro-oncology, leaving analytic tools untapped. The aim of this study was to systematically review the neuro-oncology literature utilizing reference space. <i>Methods</i>: A systematic review of the neuro-oncology publications was conducted according to PRISMA statement guidelines. Studies specially reporting the use of the Montreal Neurological Institute (MNI) reference space were included. Studies were categorized according to their type of input data and their contributions to the field. A sub-analysis focusing on connectomics and transcriptomics was also included. <i>Results</i>: We identified only 101 articles that utilized the MNI brain in neuro-oncology research. Tumor locations (<i>n</i> = 77) and direct electrocortical stimulation (<i>n</i> = 19) were the most common source of data. A majority of studies (<i>n</i> = 51) provided insights on clinical factors such as tumor subtype, growth progression, and prognosis. A small group of studies (<i>n</i> = 21) have used the novel connectomic and transcriptomic tools. <i>Conclusions</i>: Brain MRI of neuro-oncology patients can be accurately transformed to MNI space. This has contributed to enhance our understanding of a wide variety of clinical questions ranging from tumor subtyping to symptom mapping. Many advanced tools such as connectomics and transcriptomics remain relatively untapped, thereby hindering our knowledge of neuro-oncology.https://www.mdpi.com/2673-7523/3/1/1magnetic resonance imagingneuro-oncologyMontreal Neurological Institute brainMNI152normalization |
| spellingShingle | Jürgen Germann Andrew Yang Clement T. Chow Brendan Santyr Nardin Samuel Artur Vetkas Can Sarica Gavin J. B. Elias Mathew R. Voisin Walter Kucharczyk Gelareh Zadeh Andres M. Lozano Alexandre Boutet Review of Template-Based Neuroimaging Tools in Neuro-Oncology: Novel Insights Onco magnetic resonance imaging neuro-oncology Montreal Neurological Institute brain MNI152 normalization |
| title | Review of Template-Based Neuroimaging Tools in Neuro-Oncology: Novel Insights |
| title_full | Review of Template-Based Neuroimaging Tools in Neuro-Oncology: Novel Insights |
| title_fullStr | Review of Template-Based Neuroimaging Tools in Neuro-Oncology: Novel Insights |
| title_full_unstemmed | Review of Template-Based Neuroimaging Tools in Neuro-Oncology: Novel Insights |
| title_short | Review of Template-Based Neuroimaging Tools in Neuro-Oncology: Novel Insights |
| title_sort | review of template based neuroimaging tools in neuro oncology novel insights |
| topic | magnetic resonance imaging neuro-oncology Montreal Neurological Institute brain MNI152 normalization |
| url | https://www.mdpi.com/2673-7523/3/1/1 |
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