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dc.contributor.authorWagner-Larsen, Kari Strøno
dc.contributor.authorHodneland, Erlend
dc.contributor.authorFasmer, Kristine Eldevik
dc.contributor.authorLura, Njål
dc.contributor.authorWoie, Kathrine
dc.contributor.authorBertelsen, Bjørn
dc.contributor.authorSalvesen, Øyvind Olav
dc.contributor.authorHalle, Mari Kyllesø
dc.contributor.authorSmit, Noeska Natasja
dc.contributor.authorKrakstad, Camilla
dc.contributor.authorHaldorsen, Ingfrid S.
dc.date.accessioned2023-11-07T16:02:41Z
dc.date.available2023-11-07T16:02:41Z
dc.date.created2023-10-30T13:57:19Z
dc.date.issued2023
dc.identifier.citationCancer Medicine. 2023, .en_US
dc.identifier.issn2045-7634
dc.identifier.urihttps://hdl.handle.net/11250/3101195
dc.description.abstractBackground Accurate pretherapeutic prognostication is important for tailoring treatment in cervical cancer (CC). Purpose To investigate whether pretreatment MRI-based radiomic signatures predict disease-specific survival (DSS) in CC. Study Type Retrospective. Population CC patients (n = 133) allocated into training(T) (nT = 89)/validation(V) (nV = 44) cohorts. Field Strength/Sequence T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI) at 1.5T or 3.0T. Assessment Radiomic features from segmented tumors were extracted from T2WI and DWI (high b-value DWI and apparent diffusion coefficient (ADC) maps). Statistical Tests Radiomic signatures for prediction of DSS from T2WI (T2rad) and T2WI with DWI (T2 + DWIrad) were constructed by least absolute shrinkage and selection operator (LASSO) Cox regression. Area under time-dependent receiver operating characteristics curves (AUC) were used to evaluate and compare the prognostic performance of the radiomic signatures, MRI-derived maximum tumor size ≤/> 4 cm (MAXsize), and 2018 International Federation of Gynecology and Obstetrics (FIGO) stage (I–II/III–IV). Survival was analyzed using Cox model estimating hazard ratios (HR) and Kaplan–Meier method with log-rank tests. Results The radiomic signatures T2rad and T2 + DWIrad yielded AUCT/AUCV of 0.80/0.62 and 0.81/0.75, respectively, for predicting 5-year DSS. Both signatures yielded better or equal prognostic performance to that of MAXsize (AUCT/AUCV: 0.69/0.65) and FIGO (AUCT/AUCV: 0.77/0.64) and were significant predictors of DSS after adjusting for FIGO (HRT/HRV for T2rad: 4.0/2.5 and T2 + DWIrad: 4.8/2.1). Adding T2rad and T2 + DWIrad to FIGO significantly improved DSS prediction compared to FIGO alone in cohort(T) (AUCT 0.86 and 0.88 vs. 0.77), and FIGO with T2 + DWIrad tended to the same in cohort(V) (AUCV 0.75 vs. 0.64, p = 0.07). High radiomic score for T2 + DWIrad was significantly associated with reduced DSS in both cohorts.en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleMRI-based radiomic signatures for pretreatment prognostication in cervical canceren_US
dc.title.alternativeMRI-based radiomic signatures for pretreatment prognostication in cervical canceren_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber0en_US
dc.source.journalCancer Medicineen_US
dc.identifier.doi10.1002/cam4.6526
dc.identifier.cristin2190042
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal