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Feasibility of artificial intelligence-supported assessment of bone marrow infiltration using dual-energy computed tomography in patients with evidence of monoclonal protein - a retrospective observational study.

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Title: Feasibility of artificial intelligence-supported assessment of bone marrow infiltration using dual-energy computed tomography in patients with evidence of monoclonal protein - a retrospective observational study.
Authors: Fervers P; Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany. Philipp.Fervers@uk-koeln.de., Fervers F; System Technologies and Image Exploitation IOSB, Fraunhofer Institute of Optronics, Fraunhoferstraße 1, 76131, Karlsruhe, Germany., Kottlors J; Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany., Lohneis P; Institute of Pathology, University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany., Pollman-Schweckhorst P; Chair in Marketing Science and Analytics, University of Cologne, Albertus-Magnus-Platz, 50923, Cologne, Germany., Zaytoun H; Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany., Rinneburger M; Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany., Maintz D; Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany., Große Hokamp N; Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany.
Source: European radiology [Eur Radiol] 2022 May; Vol. 32 (5), pp. 2901-2911. Date of Electronic Publication: 2021 Dec 18.
Publication Type: Journal Article; Observational Study
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Feasibility of artificial intelligence-supported assessment of bone marrow infiltration using dual-energy computed tomography in patients with evidence of monoclonal protein - a retrospective observational study.
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  Data: <searchLink fieldCode="AU" term="%22Fervers+P%22">Fervers P</searchLink>; Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany. Philipp.Fervers@uk-koeln.de.<br /><searchLink fieldCode="AU" term="%22Fervers+F%22">Fervers F</searchLink>; System Technologies and Image Exploitation IOSB, Fraunhofer Institute of Optronics, Fraunhoferstraße 1, 76131, Karlsruhe, Germany.<br /><searchLink fieldCode="AU" term="%22Kottlors+J%22">Kottlors J</searchLink>; Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany.<br /><searchLink fieldCode="AU" term="%22Lohneis+P%22">Lohneis P</searchLink>; Institute of Pathology, University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany.<br /><searchLink fieldCode="AU" term="%22Pollman-Schweckhorst+P%22">Pollman-Schweckhorst P</searchLink>; Chair in Marketing Science and Analytics, University of Cologne, Albertus-Magnus-Platz, 50923, Cologne, Germany.<br /><searchLink fieldCode="AU" term="%22Zaytoun+H%22">Zaytoun H</searchLink>; Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany.<br /><searchLink fieldCode="AU" term="%22Rinneburger+M%22">Rinneburger M</searchLink>; Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany.<br /><searchLink fieldCode="AU" term="%22Maintz+D%22">Maintz D</searchLink>; Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany.<br /><searchLink fieldCode="AU" term="%22Große+Hokamp+N%22">Große Hokamp N</searchLink>; Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany.
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  Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2022 May; Vol. 32 (5), pp. 2901-2911. <i>Date of Electronic Publication: </i>2021 Dec 18.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9114774 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1084 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209387994%22">09387994 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s00330-021-08419-2
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              Text: 2022 May
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