Multiparametric detection and outcome prediction of pancreatic cancer involving dual-energy CT, diffusion-weighted MRI, and radiomics

The advent of next-generation computed tomography (CT)- and magnetic resonance imaging (MRI) opened many new perspectives in the evaluation of tumor characteristics. An increasing body of evidence suggests the incorporation of quantitative imaging biomarkers into clinical decision-making to provide...

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Hauptverfasser: Koch, Vitali (VerfasserIn) , Weitzer, Nils (VerfasserIn) , Dos Santos, Daniel Pinto (VerfasserIn) , Gruenewald, Leon D. (VerfasserIn) , Mahmoudi, Scherwin (VerfasserIn) , Martin, Simon S. (VerfasserIn) , Eichler, Katrin (VerfasserIn) , Bernatz, Simon (VerfasserIn) , Gruber-Rouh, Tatjana (VerfasserIn) , Booz, Christian (VerfasserIn) , Hammerstingl, Renate M. (VerfasserIn) , Biciusca, Teodora (VerfasserIn) , Rosbach, Nicolas (VerfasserIn) , Gökduman, Aynur (VerfasserIn) , D’Angelo, Tommaso (VerfasserIn) , Finkelmeier, Fabian (VerfasserIn) , Yel, Ibrahim (VerfasserIn) , Alizadeh, Leona S. (VerfasserIn) , Sommer, Christof-Matthias (VerfasserIn) , Cengiz, Duygu (VerfasserIn) , Vogl, Thomas J. (VerfasserIn) , Albrecht, Moritz Hans Ernst (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 18 April 2023
In: Cancer imaging
Year: 2023, Jahrgang: 23, Heft: 1, Pages: 1-13
ISSN:1470-7330
DOI:10.1186/s40644-023-00549-8
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s40644-023-00549-8
Verlag, kostenfrei, Volltext: https://cancerimagingjournal.biomedcentral.com/articles/10.1186/s40644-023-00549-8
Volltext
Verfasserangaben:Vitali Koch, Nils Weitzer, Daniel Pinto Dos Santos, Leon D. Gruenewald, Scherwin Mahmoudi, Simon S. Martin, Katrin Eichler, Simon Bernatz, Tatjana Gruber-Rouh, Christian Booz, Renate M. Hammerstingl, Teodora Biciusca, Nicolas Rosbach, Aynur Gökduman, Tommaso D’Angelo, Fabian Finkelmeier, Ibrahim Yel, Leona S. Alizadeh, Christof M. Sommer, Duygu Cengiz, Thomas J. Vogl and Moritz H. Albrecht

MARC

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520 |a The advent of next-generation computed tomography (CT)- and magnetic resonance imaging (MRI) opened many new perspectives in the evaluation of tumor characteristics. An increasing body of evidence suggests the incorporation of quantitative imaging biomarkers into clinical decision-making to provide mineable tissue information. The present study sought to evaluate the diagnostic and predictive value of a multiparametric approach involving radiomics texture analysis, dual-energy CT-derived iodine concentration (DECT-IC), and diffusion-weighted MRI (DWI) in participants with histologically proven pancreatic cancer. 
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