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. |
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| 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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| ISSN: | 1432-1084 |
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| DOI: | 10.1007/s00330-021-08419-2 |
