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dc.contributor.authorZhang, M.
dc.contributor.authorWong, S. W.
dc.contributor.authorLummus, S.
dc.contributor.authorHan, M.
dc.contributor.authorRadmanesh, A.
dc.contributor.authorAhmadian, S. S.
dc.contributor.authorYeom, K. W.
dc.date.accessioned2022-02-15T16:59:07Z
dc.date.available2022-02-15T16:59:07Z
dc.date.issued2021
dc.identifier.issn0195-6108
dc.identifier.issn1936-959X
dc.identifier.urihttps://doi.org/10.3174/ajnr.A7200
dc.identifier.urihttps://hdl.handle.net/20.500.14034/517
dc.description.abstractBACKGROUND AND PURPOSE: Atypical teratoid/rhabdoid tumors and medulloblastomas have similar imaging and histologic features but distinctly different outcomes. We hypothesized that they could be distinguished by MR imaging?based radiomic phenotypes. MATERIALS AND METHODS: We retrospectively assembled T2-weighted and gadolinium-enhanced T1-weighted images of 48 posterior fossa atypical teratoid/rhabdoid tumors and 96 match-paired medulloblastomas from 7 institutions. Using a holdout test set, we measured the performance of 6 candidate classifier models using 6 imaging features derived by sparse regression of 900 T2WI and 900 T1WI Imaging Biomarker Standardization Initiative?based radiomics features. RESULTS: From the originally extracted 1800 total Imaging Biomarker Standardization Initiative?based features, sparse regression consistently reduced the feature set to 1 from T1WI and 5 from T2WI. Among classifier models, logistic regression performed with the highest AUC of 0.86, with sensitivity, specificity, accuracy, and F1 scores of 0.80, 0.82, 0.81, and 0.85, respectively. The top 3 important Imaging Biomarker Standardization Initiative features, by decreasing order of relative contribution, included voxel intensity at the 90th percentile, inverse difference moment normalized, and kurtosis?all from T2WI. CONCLUSIONS: Six quantitative signatures of image intensity, texture, and morphology distinguish atypical teratoid/rhabdoid tumors from medulloblastomas with high prediction performance across different machine learning strategies. Use of this technique for preoperative diagnosis of atypical teratoid/rhabdoid tumors could significantly inform therapeutic strategies and patient care discussions.en_US
dc.description.sponsorshipNCI NIH HHSUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Cancer Institute (NCI) [T32 CA009695] Funding Source: Medlineen_US
dc.language.isoengen_US
dc.publisherAmer Soc Neuroradiologyen_US
dc.relation.ispartofAmerican Journal Of Neuroradiologyen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCentral-Nervous-Systemen_US
dc.subjectPrimitive Neuroectodermal Tumorsen_US
dc.subjectTeratoid Rhabdoid Tumorsen_US
dc.subjectPosterior-Fossa Tumorsen_US
dc.subjectMri Featuresen_US
dc.subjectImmunohistochemical Analysisen_US
dc.subjectCraniospinal Radiotherapyen_US
dc.subjectChildrenen_US
dc.subjectChildhooden_US
dc.subjectInfancyen_US
dc.titleRadiomic Phenotypes Distinguish Atypical Teratoid/Rhabdoid Tumors from Medulloblastomaen_US
dc.typearticleen_US
dc.authoridOztekin, Ozgur / 0000-0002-0092-5260
dc.authoridProlo, Laura / 0000-0001-7737-8675
dc.authoridRadmanesh, Alireza / 0000-0002-8581-2600
dc.authoridZhang, Michael / 0000-0002-7067-0689
dc.authoridLai, Hollie / 0000-0001-6747-7338
dc.authoridWong, Samuel / 0000-0002-0362-6266
dc.authoridAhmadian, Saman / 0000-0002-4133-7895
dc.identifier.doi10.3174/ajnr.A7200
dc.identifier.volume42en_US
dc.identifier.issue9en_US
dc.identifier.startpage1702en_US
dc.identifier.endpage1708en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorwosidOztekin, Ozgur/AAC-4801-2021
dc.authorscopusid56468270600
dc.authorscopusid57258672600
dc.authorscopusid55613609600
dc.authorscopusid57257887300
dc.authorscopusid24825506400
dc.authorscopusid57258561300
dc.authorscopusid8091833100
dc.identifier.wosWOS:000674959400001en_US
dc.identifier.scopus2-s2.0-85114855457en_US
dc.identifier.pmidPubMed: 34266866en_US
dc.departmentBakırçay Üniversitesien_US


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