Performance of Radiomics-based machine learning and deep learning-based methods in the prediction of tumor grade in meningioma: a systematic review and meta-analysis.
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| Title: | Performance of Radiomics-based machine learning and deep learning-based methods in the prediction of tumor grade in meningioma: a systematic review and meta-analysis. |
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| Authors: | Tavanaei R; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Akhlaghpasand M; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Alikhani A; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Hajikarimloo B; Department of Neurological Surgery, University of Virginia, Charlottesville, VA, USA., Ansari A; Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran., Yong RL; Department of Neurosurgery, Mount Sinai Hospital, Icahn School of Medicine, New York City, NY, USA., Margetis K; Department of Neurosurgery, Mount Sinai Hospital, Icahn School of Medicine, New York City, NY, USA. konstantinos.margetis@mountsinai.org. |
| Source: | Neurosurgical review [Neurosurg Rev] 2025 Jan 24; Vol. 48 (1), pp. 78. Date of Electronic Publication: 2025 Jan 24. |
| Publication Type: | Journal Article; Meta-Analysis; Systematic Review |
| Journal Info: | Publisher: Springer Berlin Heidelberg Country of Publication: Germany NLM ID: 7908181 Publication Model: Electronic Cited Medium: Internet ISSN: 1437-2320 (Electronic) Linking ISSN: 03445607 NLM ISO Abbreviation: Neurosurg Rev Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39849257 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Performance of Radiomics-based machine learning and deep learning-based methods in the prediction of tumor grade in meningioma: a systematic review and meta-analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Tavanaei+R%22">Tavanaei R</searchLink>; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Akhlaghpasand+M%22">Akhlaghpasand M</searchLink>; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Alikhani+A%22">Alikhani A</searchLink>; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Hajikarimloo+B%22">Hajikarimloo B</searchLink>; Department of Neurological Surgery, University of Virginia, Charlottesville, VA, USA.<br /><searchLink fieldCode="AU" term="%22Ansari+A%22">Ansari A</searchLink>; Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.<br /><searchLink fieldCode="AU" term="%22Yong+RL%22">Yong RL</searchLink>; Department of Neurosurgery, Mount Sinai Hospital, Icahn School of Medicine, New York City, NY, USA.<br /><searchLink fieldCode="AU" term="%22Margetis+K%22">Margetis K</searchLink>; Department of Neurosurgery, Mount Sinai Hospital, Icahn School of Medicine, New York City, NY, USA. konstantinos.margetis@mountsinai.org. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%227908181%22">Neurosurgical review</searchLink> [Neurosurg Rev] 2025 Jan 24; Vol. 48 (1), pp. 78. <i>Date of Electronic Publication: </i>2025 Jan 24. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Meta-Analysis; Systematic Review – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Berlin+Heidelberg%22">Springer Berlin Heidelberg </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>7908181 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1437-2320 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203445607%22">03445607 </searchLink><i>NLM ISO Abbreviation: </i>Neurosurg Rev <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39849257 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10143-025-03236-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 78 Titles: – TitleFull: Performance of Radiomics-based machine learning and deep learning-based methods in the prediction of tumor grade in meningioma: a systematic review and meta-analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tavanaei R – PersonEntity: Name: NameFull: Akhlaghpasand M – PersonEntity: Name: NameFull: Alikhani A – PersonEntity: Name: NameFull: Hajikarimloo B – PersonEntity: Name: NameFull: Ansari A – PersonEntity: Name: NameFull: Yong RL – PersonEntity: Name: NameFull: Margetis K IsPartOfRelationships: – BibEntity: Dates: – D: 24 M: 01 Text: 2025 Jan 24 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1437-2320 Numbering: – Type: volume Value: 48 – Type: issue Value: 1 Titles: – TitleFull: Neurosurgical review Type: main |
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