Assessing preoperative risk of STR in skull meningiomas using MR radiomics and machine learning
Assessing preoperative risk of STR in skull meningiomas using MR radiomics and machine learning
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London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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Our aim is to predict possible gross total and subtotal resections of skull meningiomas from pre-treatment T1 post contrast MR-images using radiomics and machine learning in a representative patient cohort. We analyse the accuracy of our model predictions depending on the tumor location within the skull and the postoperative tumor volume. In this r...
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Assessing preoperative risk of STR in skull meningiomas using MR radiomics and machine learning
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TN_cdi_doaj_primary_oai_doaj_org_article_94d82d01cc5a40fdb40fc2e45ce43b48
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_94d82d01cc5a40fdb40fc2e45ce43b48
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-18458-4
