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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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
18 April 2023
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| In: |
Cancer imaging
Year: 2023, Volume: 23, Issue: 1, Pages: 1-13 |
| ISSN: | 1470-7330 |
| DOI: | 10.1186/s40644-023-00549-8 |
| Online Access: | 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 |
| Author Notes: | 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 |
| Summary: | 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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| Item Description: | Gesehen am 01.08.2023 |
| Physical Description: | Online Resource |
| ISSN: | 1470-7330 |
| DOI: | 10.1186/s40644-023-00549-8 |