Editorial for “Glioma Tumor Grading Using Radiomics on Conventional MRI: A Comparative Study of WHO 2021 and WHO 2016 Classification of Central Nervous Tumors”
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| Published in | Journal of magnetic resonance imaging Vol. 60; no. 3; pp. 939 - 940 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Hoboken, USA
John Wiley & Sons, Inc
01.09.2024
Wiley Subscription Services, Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1053-1807 1522-2586 1522-2586 |
| DOI | 10.1002/jmri.29147 |
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| Author | Peper, Eva S. Bastiaansen, Jessica A.M. |
|---|---|
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38059496$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1093/jnen/61.3.215 10.3390/cancers15082355 10.18632/oncotarget.18001 10.1001/jamaoncol.2022.2844 10.1093/neuonc/noac166 10.1002/jmri.29146 10.1038/sdata.2017.117 |
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| Copyright | 2023 International Society for Magnetic Resonance in Medicine. 2024 International Society for Magnetic Resonance in Medicine |
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| References | 2022; 25 2017; 8 2017; 4 2002; 61 2021 2023; 15 2022; 8 2024; 60 e_1_2_2_5_1 e_1_2_2_7_1 e_1_2_2_10_1 e_1_2_2_2_1 Menze BH (e_1_2_2_6_1) e_1_2_2_3_1 e_1_2_2_9_1 e_1_2_2_8_1 WHO Classification of Tumors Editorial Board (e_1_2_2_4_1) 2021 |
| References_xml | – volume: 15 issue: 8 year: 2023 article-title: Imaging the WHO 2021 brain tumor classification: Fully automated analysis of imaging features of newly diagnosed gliomas publication-title: Cancers (Basel) – volume: 8 start-page: 47816 issue: 29 year: 2017 end-page: 47830 article-title: Optimizing a machine learning based glioma grading system using multi‐parametric MRI histogram and texture features publication-title: Oncotarget – volume: 8 start-page: 1493 issue: 10 year: 2022 end-page: 1501 article-title: World Health Organization 2021 classification of central nervous system tumors and implications for therapy for adult‐type gliomas: A review publication-title: JAMA Oncol – volume: 60 start-page: 923 issue: 3 year: 2024 end-page: 938 article-title: Glioma tumor grading using radiomics on MRI: A comparative study of WHO 2021 and WHO 2016 classification of central nervous tumors publication-title: J Magn Reson Imaging – volume: 4 year: 2017 article-title: Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features publication-title: Sci Data – volume: 61 start-page: 215 year: 2002 end-page: 225 article-title: The WHO classification of tumors of the nervous system publication-title: J Neuropathol Exp Neurol – volume: 25 start-page: 279 issue: 2 year: 2022 end-page: 289 article-title: Combined molecular subtyping, grading, and segmentation of glioma using multi‐task deep learning publication-title: Neuro Oncol – year: 2021 – ident: e_1_2_2_2_1 doi: 10.1093/jnen/61.3.215 – ident: e_1_2_2_10_1 doi: 10.3390/cancers15082355 – volume-title: Central nervous system tumours year: 2021 ident: e_1_2_2_4_1 – ident: e_1_2_2_8_1 doi: 10.18632/oncotarget.18001 – ident: e_1_2_2_3_1 doi: 10.1001/jamaoncol.2022.2844 – volume-title: Proceedings of the multimodal brain tumor image segmentation challenge held in conjunction with MICCAI 2015 (MICCAI‐BRATS 2015) ident: e_1_2_2_6_1 – ident: e_1_2_2_9_1 doi: 10.1093/neuonc/noac166 – ident: e_1_2_2_5_1 doi: 10.1002/jmri.29146 – ident: e_1_2_2_7_1 doi: 10.1038/sdata.2017.117 |
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| SubjectTerms | Brain Neoplasms - diagnostic imaging Brain tumors Central Nervous System Neoplasms - diagnostic imaging Comparative studies Glioma Glioma - diagnostic imaging Glioma - pathology Humans Magnetic Resonance Imaging - methods Neoplasm Grading Radiomics Tumors World Health Organization |
| Title | Editorial for “Glioma Tumor Grading Using Radiomics on Conventional MRI: A Comparative Study of WHO 2021 and WHO 2016 Classification of Central Nervous Tumors” |
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