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               <dc:title>Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task force</dc:title>
               <dc:creator>Sedlaczek, Oliver</dc:creator>
               <dc:creator>Kleesiek, Jens</dc:creator>
               <dc:creator>Gallagher, Ferdia Aidan</dc:creator>
               <dc:creator>Murray, Jacob</dc:creator>
               <dc:creator>Prinz, Sebastian</dc:creator>
               <dc:creator>Pérez López, Raquel</dc:creator>
               <dc:subject>Càncer - Imatgeria per ressonància magnètica</dc:subject>
               <dc:subject>ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Tomography::Magnetic Resonance Imaging::Diffusion Magnetic Resonance Imaging</dc:subject>
               <dc:subject>DISEASES::Neoplasms</dc:subject>
               <dc:subject>Other subheadings::Other subheadings::Other subheadings::/diagnostic imaging</dc:subject>
               <dc:subject>TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::tomografía::imagen por resonancia magnética::imagen de resonancia magnética de difusión</dc:subject>
               <dc:subject>ENFERMEDADES::neoplasias</dc:subject>
               <dc:subject>Otros calificadores::Otros calificadores::Otros calificadores::/diagnóstico por imagen</dc:subject>
               <dc:description>Magnetic resonance imaging;  Radiomics; Measurement Variability</dc:description>
               <dc:description>Imatges per ressonància magnètica; Radiòmica; Variabilitat de mesura</dc:description>
               <dc:description>Imágenes por resonancia magnética; Radiómica; Variabilidad de medida</dc:description>
               <dc:description>Objectives&#xd;
In the Cancer Core Europe Consortium (CCE), standardized biomarkers are required for therapy monitoring oncologic multicenter clinical trials. Multiparametric functional MRI and particularly diffusion-weighted MRI offer evident advantages for noninvasive characterization of tumor viability compared to CT and RECIST. A quantification of the inter- and intraindividual variation occurring in this setting using different hardware is missing. In this study, the MRI protocol including DWI was standardized and the residual variability of measurement parameters quantified.&#xd;
Methods&#xd;
Phantom and volunteer measurements (single-shot T2w and DW-EPI) were performed at the seven CCE sites using the MR hardware produced by three different vendors. Repeated measurements were performed at the sites and across the sites including a traveling volunteer, comparing qualitative and quantitative ROI-based results including an explorative radiomics analysis.&#xd;
Results&#xd;
For DWI/ADC phantom measurements using a central post-processing algorithm, the maximum deviation could be decreased to 2%. However, there is no significant difference compared to a decentralized ADC value calculation at the respective MRI devices. In volunteers, the measurement variation in 2 repeated scans did not exceed 11% for ADC and is below 20% for single-shot T2w in systematic liver ROIs. The measurement variation between sites amounted to 20% for ADC and &lt; 25% for single-shot T2w. Explorative radiomics classification experiments yield better results for ADC than for single-shot T2w.&#xd;
Conclusion&#xd;
Harmonization of MR acquisition and post-processing parameters results in acceptable standard deviations for MR/DW imaging. MRI could be the tool in oncologic multicenter trials to overcome the limitations of RECIST-based response evaluation.</dc:description>
               <dc:description>Open Access funding enabled and organized by Projekt DEAL. This study has received funding by Cancer Core Europe for the travel expenses of M. Bach traveling with the MR – Phantom between centers.</dc:description>
               <dc:date>2025-10-24T10:42:21Z</dc:date>
               <dc:date>2025-10-24T10:42:21Z</dc:date>
               <dc:date>2023-01-31T10:53:56Z</dc:date>
               <dc:date>2023-01-31T10:53:56Z</dc:date>
               <dc:date>2022-12</dc:date>
               <dc:type>info:eu-repo/semantics/article</dc:type>
               <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
               <dc:identifier>http://hdl.handle.net/11351/8935</dc:identifier>
               <dc:relation>European Radiology;32</dc:relation>
               <dc:relation>https://doi.org/10.1007/s00330-022-08880-7</dc:relation>
               <dc:rights>Attribution 4.0 International</dc:rights>
               <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
               <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
               <dc:publisher>Springer</dc:publisher>
               <dc:source>Scientia</dc:source>
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