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

Media type: E-Article

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

Contributor: Koch, Vitali [Author]; Weitzer, Nils [Author]; Dos Santos, Daniel Pinto [Author]; Gruenewald, Leon D. [Author]; Mahmoudi, Scherwin [Author]; Martin, Simon S. [Author]; Eichler, Katrin [Author]; Bernatz, Simon [Author]; Gruber-Rouh, Tatjana [Author]; Booz, Christian [Author]; Hammerstingl, Renate M. [Author]; Biciusca, Teodora [Author]; Rosbach, Nicolas [Author]; Gökduman, Aynur [Author]; D’Angelo, Tommaso [Author]; Finkelmeier, Fabian [Author]; Yel, Ibrahim [Author]; Alizadeh, Leona S. [Author]; Sommer, Christof-Matthias [Author]; Cengiz, Duygu [Author]; Vogl, Thomas J. [Author]; Albrecht, Moritz Hans Ernst [Author]

Published: 18 April 2023

Language: English

DOI: 10.1186/s40644-023-00549-8

Identifier:

Keywords: Diffusion magnetic resonance imaging ; Dual-energy computed tomography ; Multidetector computed tomography ; Pancreatic cancer ; Survival

Origination:

Footnote:

Description: 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.

Access State: Open Access

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