Incidental vertebral fracture prediction using neuronal network-based automatic spine segmentation and volumetric bone mineral density extraction from routine clinical CT scans.
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| Title: | Incidental vertebral fracture prediction using neuronal network-based automatic spine segmentation and volumetric bone mineral density extraction from routine clinical CT scans. |
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| Authors: | Bodden J; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany., Dieckmeyer M; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.; Department of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland., Sollmann N; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.; TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.; Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany., Burian E; Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany., Rühling S; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany., Löffler MT; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Freiburg im Breisgau, Germany., Sekuboyina A; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.; Department of Informatics, Technical University of Munich, Munich, Germany.; Munich School of BioEngineering, Technical University of Munich, Munich, Germany., El Husseini M; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.; Department of Informatics, Technical University of Munich, Munich, Germany., Zimmer C; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.; TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany., Kirschke JS; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.; TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany., Baum T; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany. |
| Source: | Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2023 Jul 17; Vol. 14, pp. 1207949. Date of Electronic Publication: 2023 Jul 17 (Print Publication: 2023). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37529605 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Incidental vertebral fracture prediction using neuronal network-based automatic spine segmentation and volumetric bone mineral density extraction from routine clinical CT scans. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Bodden+J%22">Bodden J</searchLink>; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Dieckmeyer+M%22">Dieckmeyer M</searchLink>; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.; Department of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland.<br /><searchLink fieldCode="AU" term="%22Sollmann+N%22">Sollmann N</searchLink>; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.; TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.; Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany.<br /><searchLink fieldCode="AU" term="%22Burian+E%22">Burian E</searchLink>; Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Rühling+S%22">Rühling S</searchLink>; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Löffler+MT%22">Löffler MT</searchLink>; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Freiburg im Breisgau, Germany.<br /><searchLink fieldCode="AU" term="%22Sekuboyina+A%22">Sekuboyina A</searchLink>; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.; Department of Informatics, Technical University of Munich, Munich, Germany.; Munich School of BioEngineering, Technical University of Munich, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22El+Husseini+M%22">El Husseini M</searchLink>; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.; Department of Informatics, Technical University of Munich, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Zimmer+C%22">Zimmer C</searchLink>; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.; TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Kirschke+JS%22">Kirschke JS</searchLink>; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.; TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Baum+T%22">Baum T</searchLink>; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101555782%22">Frontiers in endocrinology</searchLink> [Front Endocrinol (Lausanne)] 2023 Jul 17; Vol. 14, pp. 1207949. <i>Date of Electronic Publication: </i>2023 Jul 17 (<i>Print Publication: </i>2023). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Research+Foundation]%22">Frontiers Research Foundation] </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101555782 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1664-2392 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216642392%22">16642392 </searchLink><i>NLM ISO Abbreviation: </i>Front Endocrinol (Lausanne) <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37529605 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fendo.2023.1207949 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1207949 Titles: – TitleFull: Incidental vertebral fracture prediction using neuronal network-based automatic spine segmentation and volumetric bone mineral density extraction from routine clinical CT scans. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bodden J – PersonEntity: Name: NameFull: Dieckmeyer M – PersonEntity: Name: NameFull: Sollmann N – PersonEntity: Name: NameFull: Burian E – PersonEntity: Name: NameFull: Rühling S – PersonEntity: Name: NameFull: Löffler MT – PersonEntity: Name: NameFull: Sekuboyina A – PersonEntity: Name: NameFull: El Husseini M – PersonEntity: Name: NameFull: Zimmer C – PersonEntity: Name: NameFull: Kirschke JS – PersonEntity: Name: NameFull: Baum T IsPartOfRelationships: – BibEntity: Dates: – D: 17 M: 07 Text: 2023 Jul 17 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 1664-2392 Numbering: – Type: volume Value: 14 Titles: – TitleFull: Frontiers in endocrinology Type: main |
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