Prognostic value DCE-MRI parameters in predicting factor disease free survival and overall survival for breast cancer patients

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dc.contributor.authorTuncbilek, Nermin
dc.contributor.authorTokatli, Fusun
dc.contributor.authorAltaner, Semsi
dc.contributor.authorSezer, Atakan
dc.contributor.authorTure, Mevlut
dc.contributor.authorOmurlu, Imran Kurt
dc.contributor.authorTemizoz, Osman
dc.date.accessioned2024-06-12T10:55:12Z
dc.date.available2024-06-12T10:55:12Z
dc.date.issued2012
dc.departmentTrakya Üniversitesien_US
dc.description.abstractPurpose: The aim of the study is to assess the predictive power of DCE-MRI semi-quantitative parameters during treatment of breast cancer, for disease-free (DFS) and overall survival (OS). Materials and methods: Forty-nine women (age range, 28-84 years; mean, 50.6 years) with breast cancer underwent dynamic contrast enhancement MRI at 1.0 T imaging, using 2D FLASH sequences. Time intensity curves (TICs) were obtained from the regions showing maximal enhancement in subtraction images. Semi-quantitative parameters (TICs; maximal relative enhancement within the first minute, E (max/1); maximal relative enhancement of the entire study, E-max; steepest slope of the contrast enhancement curve; and time to peak enhancement) derived from the DCE-MRI data. These parameters were then compared with presence of recurrence or metastasis, DFS and OS by using Cox regression (proportional hazards model) analysis, linear discriminant analysis. Results: The results from of the 49 patients enrolled into the survival analysis demonstrated that traditional prognostic parameters (tumor size and nodal metastasis) and semi-quantitative parameters (E-max/1, and steepest slope) demonstrated significant differences in survival intervals (p < 0.05). Further Cox regression (proportional hazards model) survival analysis revealed that semi-quantitative parameters contributed the greatest prediction of both DFS, OS in the resulting models (for E-max/1: p = 0.013, hazard ratio 1.022; for stepest slope: p = 0.004, hazard ratio 1.584). Conclusion: This study shows that DCE-MRI has utility predicting survival analysis with breast cancer patients. (C) 2011 Elsevier Ireland Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.ejrad.2011.02.021
dc.identifier.endpage867en_US
dc.identifier.issn0720-048X
dc.identifier.issn1872-7727
dc.identifier.issue5en_US
dc.identifier.pmid21398061en_US
dc.identifier.scopus2-s2.0-84859984907en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage863en_US
dc.identifier.urihttps://doi.org/10.1016/j.ejrad.2011.02.021
dc.identifier.urihttps://hdl.handle.net/20.500.14551/19331
dc.identifier.volume81en_US
dc.identifier.wosWOS:000303108000024en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherElsevier Ireland Ltden_US
dc.relation.ispartofEuropean Journal Of Radiologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBreast Canceren_US
dc.subjectDCE-MRIen_US
dc.subjectPrognosisen_US
dc.subjectSurvival Analysisen_US
dc.subjectEmpirical Analysisen_US
dc.subjectLymph-Node Statusen_US
dc.subjectCervical-Carcinomaen_US
dc.subjectRadiation-Therapyen_US
dc.subjectTumoren_US
dc.subjectAngiogenesisen_US
dc.subjectDiagnosisen_US
dc.subjectGradeen_US
dc.subjectChemotherapyen_US
dc.subjectEnhancementen_US
dc.titlePrognostic value DCE-MRI parameters in predicting factor disease free survival and overall survival for breast cancer patientsen_US
dc.typeArticleen_US

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