Publication:

Development and Validation of a Predictive Model for Metastatic Melanoma Patients Treated with Pembrolizumab Based on Automated Analysis of Whole-Body [F-18]FDG PET/CT Imaging and Clinical Features

Date

2023
Journal article
https://doi.org/10.3390/cancers15164083
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cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0001-5714-3254
cris.virtualsource.departmente133c726-54e2-43d0-b225-6704605822fd
cris.virtualsource.orcide133c726-54e2-43d0-b225-6704605822fd
dc.contributor.authorDirks, Ine
dc.contributor.authorKeyaerts, Marleen
dc.contributor.authorDirven, Iris
dc.contributor.authorNeyns, Bart
dc.contributor.authorVandemeulebroucke, Jef
dc.contributor.imecauthorDirks, Ine
dc.contributor.imecauthorVandemeulebroucke, Jef
dc.contributor.orcidimecVandemeulebroucke, Jef::0000-0001-5714-3254
dc.date.accessioned2023-10-17T13:59:12Z
dc.date.available2023-09-26T17:15:58Z
dc.date.available2023-10-17T13:59:12Z
dc.date.embargo2023-08-13
dc.date.issued2023
dc.description.wosFundingTextThis research was funded by Innoviris grant number BHG/2017-PFS-15.
dc.identifier.doi10.3390/cancers15164083
dc.identifier.issn2072-6694
dc.identifier.pmidMEDLINE:37627111
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/42588
dc.publisherMDPI
dc.source.beginpageArt. 4083
dc.source.endpagena
dc.source.issue16
dc.source.journalCANCERS
dc.source.numberofpages21
dc.source.volume15
dc.subject.keywordsLIGAND 1 EXPRESSION
dc.subject.keywordsSURVIVAL
dc.subject.keywordsOUTCOMES
dc.subject.keywordsDISCONTINUATION
dc.subject.keywordsTHERAPY
dc.subject.keywordsAREAS
dc.title

Development and Validation of a Predictive Model for Metastatic Melanoma Patients Treated with Pembrolizumab Based on Automated Analysis of Whole-Body [F-18]FDG PET/CT Imaging and Clinical Features

dc.typeJournal article
dspace.entity.typePublication
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