Usefulness of electron density imaging from dual-energy CT for detecting pulmonary thromboembolism in unenhanced CT.
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| Title: | Usefulness of electron density imaging from dual-energy CT for detecting pulmonary thromboembolism in unenhanced CT. |
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| Authors: | Kim C; Department of Radiology, Ansan Hospital, Korea University College of Medicine, Ansan-si, South Korea., Choi H; Medical Science Research Center, Korea University College of Medicine, Seoul, South Korea., Shim E; Department of Radiology, Ansan Hospital, Korea University College of Medicine, Ansan-si, South Korea., Kim J; Department of Radiology, Ansan Hospital, Korea University College of Medicine, Ansan-si, South Korea., Hwang SH; Department of Radiology, Anam Hospital, Korea University College of Medicine, Seoul, South Korea., Yong HS; Department of Radiology, Guro Hospital, Korea University College of Medicine, Seoul, South Korea., Oh YW; Department of Radiology, Anam Hospital, Korea University College of Medicine, Seoul, South Korea., van Assen M; Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA.; Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence, Emory University School of Medicine, Atlanta, GA, USA., De Cecco CN; Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence, Emory University School of Medicine, Atlanta, GA, USA.; Division of Cardiothoracic Imaging, Department of Radiology, Emory University, Atlanta, GA, USA., Yeom SK; Department of Radiology, Ansan Hospital, Korea University College of Medicine, Ansan-si, South Korea. pagoda20@gmail.com. |
| Source: | European radiology [Eur Radiol] 2026 Jan; Vol. 36 (1), pp. 575-585. Date of Electronic Publication: 2025 Jul 17. |
| Publication Type: | Journal Article |
| 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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