Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis

Detalhes bibliográficos
Autor(a) principal: Fiscone, Cristiana
Data de Publicação: 2023
Outros Autores: Rundo, Leonardo, Lugaresi, Alessandra, Manners, David neil, Allinson, Kieren, Baldin, Elisa, Vornetti, Gianfranco, Lodi, Raffaele, Tonon, Caterina, Testa, Claudia, Castelli, Mauro, Zaccagna, Fulvio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/158660
Resumo: Fiscone, C., Rundo, L., Lugaresi, A., Manners, D. N., Allinson, K., Baldin, E., Vornetti, G., Lodi, R., Tonon, C., Testa, C., Castelli, M., & Zaccagna, F. (2023). Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis. Scientific Reports, 13(1), 1-16. [16239]. https://doi.org/10.1038/s41598-023-42914-4---The publication of this article was supported by the “Ricerca Corrente” funding from the Italian Ministry of Health. This work is partially funded by national funds thought the FCT – Foundation for Science and Technology, I.P., within the scope of the project UIDB/04152/2020 – Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.
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spelling Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosisGeneralFiscone, C., Rundo, L., Lugaresi, A., Manners, D. N., Allinson, K., Baldin, E., Vornetti, G., Lodi, R., Tonon, C., Testa, C., Castelli, M., & Zaccagna, F. (2023). Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis. Scientific Reports, 13(1), 1-16. [16239]. https://doi.org/10.1038/s41598-023-42914-4---The publication of this article was supported by the “Ricerca Corrente” funding from the Italian Ministry of Health. This work is partially funded by national funds thought the FCT – Foundation for Science and Technology, I.P., within the scope of the project UIDB/04152/2020 – Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.Multiple Sclerosis (MS) is an autoimmune demyelinating disease characterised by changes in iron and myelin content. These biomarkers are detectable by Quantitative Susceptibility Mapping (QSM), an advanced Magnetic Resonance Imaging technique detecting magnetic properties. When analysed with radiomic techniques that exploit its intrinsic quantitative nature, QSM may furnish biomarkers to facilitate early diagnosis of MS and timely assessment of progression. In this work, we explore the robustness of QSM radiomic features by varying the number of grey levels (GLs) and echo times (TEs), in a sample of healthy controls and patients with MS. We analysed the white matter in total and within six clinically relevant tracts, including the cortico-spinal tract and the optic radiation. After optimising the number of GLs (n = 64), at least 65% of features were robust for each Volume of Interest (VOI), with no difference (p > .05) between left and right hemispheres. Different outcomes in feature robustness among the VOIs depend on their characteristics, such as volume and variance of susceptibility values. This study validated the processing pipeline for robustness analysis and established the reliability of QSM-based radiomics features against GLs and TEs. Our results provide important insights for future radiomics studies using QSM in clinical applications.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNFiscone, CristianaRundo, LeonardoLugaresi, AlessandraManners, David neilAllinson, KierenBaldin, ElisaVornetti, GianfrancoLodi, RaffaeleTonon, CaterinaTesta, ClaudiaCastelli, MauroZaccagna, Fulvio2023-10-03T22:19:34Z2023-09-272023-09-27T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article16application/pdfhttp://hdl.handle.net/10362/158660eng2045-2322PURE: 72958230https://doi.org/10.1038/s41598-023-42914-4info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:41:12Zoai:run.unl.pt:10362/158660Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:57:15.603550Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis
title Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis
spellingShingle Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis
Fiscone, Cristiana
General
title_short Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis
title_full Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis
title_fullStr Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis
title_full_unstemmed Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis
title_sort Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis
author Fiscone, Cristiana
author_facet Fiscone, Cristiana
Rundo, Leonardo
Lugaresi, Alessandra
Manners, David neil
Allinson, Kieren
Baldin, Elisa
Vornetti, Gianfranco
Lodi, Raffaele
Tonon, Caterina
Testa, Claudia
Castelli, Mauro
Zaccagna, Fulvio
author_role author
author2 Rundo, Leonardo
Lugaresi, Alessandra
Manners, David neil
Allinson, Kieren
Baldin, Elisa
Vornetti, Gianfranco
Lodi, Raffaele
Tonon, Caterina
Testa, Claudia
Castelli, Mauro
Zaccagna, Fulvio
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Fiscone, Cristiana
Rundo, Leonardo
Lugaresi, Alessandra
Manners, David neil
Allinson, Kieren
Baldin, Elisa
Vornetti, Gianfranco
Lodi, Raffaele
Tonon, Caterina
Testa, Claudia
Castelli, Mauro
Zaccagna, Fulvio
dc.subject.por.fl_str_mv General
topic General
description Fiscone, C., Rundo, L., Lugaresi, A., Manners, D. N., Allinson, K., Baldin, E., Vornetti, G., Lodi, R., Tonon, C., Testa, C., Castelli, M., & Zaccagna, F. (2023). Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis. Scientific Reports, 13(1), 1-16. [16239]. https://doi.org/10.1038/s41598-023-42914-4---The publication of this article was supported by the “Ricerca Corrente” funding from the Italian Ministry of Health. This work is partially funded by national funds thought the FCT – Foundation for Science and Technology, I.P., within the scope of the project UIDB/04152/2020 – Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.
publishDate 2023
dc.date.none.fl_str_mv 2023-10-03T22:19:34Z
2023-09-27
2023-09-27T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/158660
url http://hdl.handle.net/10362/158660
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2045-2322
PURE: 72958230
https://doi.org/10.1038/s41598-023-42914-4
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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