Application of radiomics for diagnosis, subtyping, and prognostication of medulloblastomas: a systematic review
Applications of radiomics for clinical management of medulloblastomas are expanding. This systematic review aims to aggregate and overview the current role of radiomics in the diagnosis, subtyping, and prognostication of medulloblastomas. The present systematic review was performed in accordance wit...
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Veröffentlicht in: | Neurosurgical review 2024-10, Vol.47 (1), p.827, Article 827 |
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creator | Fotouhi, Maryam Shahbandi, Ataollah Mehr, Fardin Samadi Khoshe Shahla, Mahdi Mohammadzadeh Nouredini, Seyed Mobin Kankam, Samuel B. Khorasanizadeh, MirHojjat Chambless, Lola B. |
description | Applications of radiomics for clinical management of medulloblastomas are expanding. This systematic review aims to aggregate and overview the current role of radiomics in the diagnosis, subtyping, and prognostication of medulloblastomas. The present systematic review was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. PubMed/MEDLINE were searched using a standardized search term. Articles found within the database from the inception until November 2022 were considered for screening. Retrieved records were screened independently by two authors based on their titles and abstracts. The full text of selected articles was reviewed to finalize the eligibility. Due to the heterogeneity of included studies, no formal data synthesis was conducted. Of the 249 screened citations, 21 studies were included and analyzed. Radiomics demonstrated promising performance for discriminating medulloblastomas from other posterior fossa tumors, particularly ependymomas and pilocytic astrocytomas. It was also efficacious in determining the subtype (i.e., WNT+, SHH+, group 3, and group 4) of medulloblastomas non-invasively. Regarding prognostication, radiomics exhibited some ability to predict overall survival and progression-free survival of patients with medulloblastomas. Our systematic review revealed that radiomics represents a promising tool for diagnosis and prognostication of medulloblastomas. Further prospective research measuring the clinical value of radiomics in this setting is warranted. |
doi_str_mv | 10.1007/s10143-024-03060-1 |
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This systematic review aims to aggregate and overview the current role of radiomics in the diagnosis, subtyping, and prognostication of medulloblastomas. The present systematic review was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. PubMed/MEDLINE were searched using a standardized search term. Articles found within the database from the inception until November 2022 were considered for screening. Retrieved records were screened independently by two authors based on their titles and abstracts. The full text of selected articles was reviewed to finalize the eligibility. Due to the heterogeneity of included studies, no formal data synthesis was conducted. Of the 249 screened citations, 21 studies were included and analyzed. Radiomics demonstrated promising performance for discriminating medulloblastomas from other posterior fossa tumors, particularly ependymomas and pilocytic astrocytomas. It was also efficacious in determining the subtype (i.e., WNT+, SHH+, group 3, and group 4) of medulloblastomas non-invasively. Regarding prognostication, radiomics exhibited some ability to predict overall survival and progression-free survival of patients with medulloblastomas. Our systematic review revealed that radiomics represents a promising tool for diagnosis and prognostication of medulloblastomas. 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This systematic review aims to aggregate and overview the current role of radiomics in the diagnosis, subtyping, and prognostication of medulloblastomas. The present systematic review was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. PubMed/MEDLINE were searched using a standardized search term. Articles found within the database from the inception until November 2022 were considered for screening. Retrieved records were screened independently by two authors based on their titles and abstracts. The full text of selected articles was reviewed to finalize the eligibility. Due to the heterogeneity of included studies, no formal data synthesis was conducted. Of the 249 screened citations, 21 studies were included and analyzed. Radiomics demonstrated promising performance for discriminating medulloblastomas from other posterior fossa tumors, particularly ependymomas and pilocytic astrocytomas. It was also efficacious in determining the subtype (i.e., WNT+, SHH+, group 3, and group 4) of medulloblastomas non-invasively. Regarding prognostication, radiomics exhibited some ability to predict overall survival and progression-free survival of patients with medulloblastomas. Our systematic review revealed that radiomics represents a promising tool for diagnosis and prognostication of medulloblastomas. Further prospective research measuring the clinical value of radiomics in this setting is warranted.</description><subject>Cerebellar Neoplasms - diagnostic imaging</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Medulloblastoma - diagnosis</subject><subject>Medulloblastoma - diagnostic imaging</subject><subject>Neurosurgery</subject><subject>Prognosis</subject><subject>Radiomics</subject><subject>Review</subject><issn>1437-2320</issn><issn>1437-2320</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kEtP3DAUha2qqAzQP8ACecmCwPUj4wm7EYKChMQG1pZfGRklcfBNiubfYzq0mlVX17r3O0c-h5BTBpcMQF0hAyZFBVxWIGAJFftGFmWjKi44fN97H5IjxFcAphpgP8ihaORSrRq2IGk9jl10ZoppoKml2fiY-uiQtilTH81mSBjxguJsp-0Yh80FNYOnY06fl2lP2gc_d12yncEp9QavqaG4xSn0BXE0h98xvJ-Qg9Z0GH5-zWPycnf7fHNfPT79erhZP1aO89VUWaglk7YWzvo2COe5XHrPjWwsZ8bXStUqSNtKzmwDroEGag4OVIkorVqKY3K-8y0ffZsDTrqP6ELXmSGkGbVgnNUNAFcF5TvU5YSYQ6vHHHuTt5qB_ixa74rWpWj9p2jNiujsy3-2Jfg_yd9mCyB2AJbTsAlZv6Y5DyXz_2w_ALowij4</recordid><startdate>20241029</startdate><enddate>20241029</enddate><creator>Fotouhi, Maryam</creator><creator>Shahbandi, Ataollah</creator><creator>Mehr, Fardin Samadi Khoshe</creator><creator>Shahla, Mahdi Mohammadzadeh</creator><creator>Nouredini, Seyed Mobin</creator><creator>Kankam, Samuel B.</creator><creator>Khorasanizadeh, MirHojjat</creator><creator>Chambless, Lola B.</creator><general>Springer Berlin Heidelberg</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1042-8580</orcidid></search><sort><creationdate>20241029</creationdate><title>Application of radiomics for diagnosis, subtyping, and prognostication of medulloblastomas: a systematic review</title><author>Fotouhi, Maryam ; Shahbandi, Ataollah ; Mehr, Fardin Samadi Khoshe ; Shahla, Mahdi Mohammadzadeh ; Nouredini, Seyed Mobin ; Kankam, Samuel B. ; Khorasanizadeh, MirHojjat ; Chambless, Lola B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c228t-b05414b53cbdfe3cd246dd2a49b21ad57757e4bf421b90c9090520c070174b763</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Cerebellar Neoplasms - diagnostic imaging</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Medulloblastoma - diagnosis</topic><topic>Medulloblastoma - diagnostic imaging</topic><topic>Neurosurgery</topic><topic>Prognosis</topic><topic>Radiomics</topic><topic>Review</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fotouhi, Maryam</creatorcontrib><creatorcontrib>Shahbandi, Ataollah</creatorcontrib><creatorcontrib>Mehr, Fardin Samadi Khoshe</creatorcontrib><creatorcontrib>Shahla, Mahdi Mohammadzadeh</creatorcontrib><creatorcontrib>Nouredini, Seyed Mobin</creatorcontrib><creatorcontrib>Kankam, Samuel B.</creatorcontrib><creatorcontrib>Khorasanizadeh, MirHojjat</creatorcontrib><creatorcontrib>Chambless, Lola B.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Neurosurgical review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fotouhi, Maryam</au><au>Shahbandi, Ataollah</au><au>Mehr, Fardin Samadi Khoshe</au><au>Shahla, Mahdi Mohammadzadeh</au><au>Nouredini, Seyed Mobin</au><au>Kankam, Samuel B.</au><au>Khorasanizadeh, MirHojjat</au><au>Chambless, Lola B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of radiomics for diagnosis, subtyping, and prognostication of medulloblastomas: a systematic review</atitle><jtitle>Neurosurgical review</jtitle><stitle>Neurosurg Rev</stitle><addtitle>Neurosurg Rev</addtitle><date>2024-10-29</date><risdate>2024</risdate><volume>47</volume><issue>1</issue><spage>827</spage><pages>827-</pages><artnum>827</artnum><issn>1437-2320</issn><eissn>1437-2320</eissn><abstract>Applications of radiomics for clinical management of medulloblastomas are expanding. 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It was also efficacious in determining the subtype (i.e., WNT+, SHH+, group 3, and group 4) of medulloblastomas non-invasively. Regarding prognostication, radiomics exhibited some ability to predict overall survival and progression-free survival of patients with medulloblastomas. Our systematic review revealed that radiomics represents a promising tool for diagnosis and prognostication of medulloblastomas. Further prospective research measuring the clinical value of radiomics in this setting is warranted.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>39467891</pmid><doi>10.1007/s10143-024-03060-1</doi><orcidid>https://orcid.org/0000-0003-1042-8580</orcidid></addata></record> |
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subjects | Cerebellar Neoplasms - diagnostic imaging Humans Magnetic Resonance Imaging - methods Medicine Medicine & Public Health Medulloblastoma - diagnosis Medulloblastoma - diagnostic imaging Neurosurgery Prognosis Radiomics Review |
title | Application of radiomics for diagnosis, subtyping, and prognostication of medulloblastomas: a systematic review |
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