Artificial intelligence support in MR imaging of incidental renal masses: an early health technology assessment.
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| Title: | Artificial intelligence support in MR imaging of incidental renal masses: an early health technology assessment. |
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| Authors: | Marka AW; Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Institut für diagnostische und interventionelle Radiologie, Ismaninger Str. 22, 81675, Munich, Germany. alexander.marka@tum.de., Luitjens J; Department of Radiology, Klinikum Großhadern, Ludwig-Maximilians-Universität, Marchioninistraße 15, 81377, Munich, Germany., Gassert FT; Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Institut für diagnostische und interventionelle Radiologie, Ismaninger Str. 22, 81675, Munich, Germany., Steinhelfer L; Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Institut für diagnostische und interventionelle Radiologie, Ismaninger Str. 22, 81675, Munich, Germany., Burian E; Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Institut für diagnostische und interventionelle Radiologie, Ismaninger Str. 22, 81675, Munich, Germany., Rübenthaler J; Department of Radiology, Klinikum Großhadern, Ludwig-Maximilians-Universität, Marchioninistraße 15, 81377, Munich, Germany., Schwarze V; Department of Radiology, Klinikum Großhadern, Ludwig-Maximilians-Universität, Marchioninistraße 15, 81377, Munich, Germany., Froelich MF; Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany., Makowski MR; Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Institut für diagnostische und interventionelle Radiologie, Ismaninger Str. 22, 81675, Munich, Germany., Gassert FG; Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Institut für diagnostische und interventionelle Radiologie, Ismaninger Str. 22, 81675, Munich, Germany. |
| Source: | European radiology [Eur Radiol] 2024 Sep; Vol. 34 (9), pp. 5856-5865. Date of Electronic Publication: 2024 Feb 23. |
| 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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38388721 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Artificial intelligence support in MR imaging of incidental renal masses: an early health technology assessment. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Marka+AW%22">Marka AW</searchLink>; Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Institut für diagnostische und interventionelle Radiologie, Ismaninger Str. 22, 81675, Munich, Germany. alexander.marka@tum.de.<br /><searchLink fieldCode="AU" term="%22Luitjens+J%22">Luitjens J</searchLink>; Department of Radiology, Klinikum Großhadern, Ludwig-Maximilians-Universität, Marchioninistraße 15, 81377, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Gassert+FT%22">Gassert FT</searchLink>; Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Institut für diagnostische und interventionelle Radiologie, Ismaninger Str. 22, 81675, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Steinhelfer+L%22">Steinhelfer L</searchLink>; Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Institut für diagnostische und interventionelle Radiologie, Ismaninger Str. 22, 81675, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Burian+E%22">Burian E</searchLink>; Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Institut für diagnostische und interventionelle Radiologie, Ismaninger Str. 22, 81675, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Rübenthaler+J%22">Rübenthaler J</searchLink>; Department of Radiology, Klinikum Großhadern, Ludwig-Maximilians-Universität, Marchioninistraße 15, 81377, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Schwarze+V%22">Schwarze V</searchLink>; Department of Radiology, Klinikum Großhadern, Ludwig-Maximilians-Universität, Marchioninistraße 15, 81377, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Froelich+MF%22">Froelich MF</searchLink>; Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.<br /><searchLink fieldCode="AU" term="%22Makowski+MR%22">Makowski MR</searchLink>; Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Institut für diagnostische und interventionelle Radiologie, Ismaninger Str. 22, 81675, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Gassert+FG%22">Gassert FG</searchLink>; Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Institut für diagnostische und interventionelle Radiologie, Ismaninger Str. 22, 81675, Munich, Germany. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2024 Sep; Vol. 34 (9), pp. 5856-5865. <i>Date of Electronic Publication: </i>2024 Feb 23. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src 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 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38388721 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00330-024-10643-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 5856 Titles: – TitleFull: Artificial intelligence support in MR imaging of incidental renal masses: an early health technology assessment. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Marka AW – PersonEntity: Name: NameFull: Luitjens J – PersonEntity: Name: NameFull: Gassert FT – PersonEntity: Name: NameFull: Steinhelfer L – PersonEntity: Name: NameFull: Burian E – PersonEntity: Name: NameFull: Rübenthaler J – PersonEntity: Name: NameFull: Schwarze V – PersonEntity: Name: NameFull: Froelich MF – PersonEntity: Name: NameFull: Makowski MR – PersonEntity: Name: NameFull: Gassert FG IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2024 Sep Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1432-1084 Numbering: – Type: volume Value: 34 – Type: issue Value: 9 Titles: – TitleFull: European radiology Type: main |
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