Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow.
Saved in:
| Title: | Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow. |
|---|---|
| Authors: | Hering A; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany. alessa.hering@mevis.fraunhofer.de.; Diagnostic Image Analysis Group, Radboudumc, Nijmegen, Netherlands. alessa.hering@mevis.fraunhofer.de., Westphal M; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany., Gerken A; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany., Almansour H; Department of Diagnostic and Interventional Radiology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany., Maurer M; Radiologisches Zentrum Offenbach-Dietzenbach, Dietzenbach, Germany., Geisler B; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany., Kohlbrandt T; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany., Eigentler T; Department of Dermatology, Center of Dermato-Oncology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany.; Department of Dermatology, Venereology and Allergology, Charité University Hospital Berlin, Berlin, Germany., Amaral T; Department of Dermatology, Center of Dermato-Oncology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany., Lessmann N; Diagnostic Image Analysis Group, Radboudumc, Nijmegen, Netherlands., Gatidis S; Department of Diagnostic and Interventional Radiology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany.; Max Planck Institute for Intelligent Systems, Tübingen, Germany., Hahn H; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany., Nikolaou K; Department of Diagnostic and Interventional Radiology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany.; Cluster of Excellence iFIT (EXC 2180) 'Image-Guided and Functionally Instructed Tumor Therapies', Faculty of Medicine, Eberhard Karls University, Tübingen, Germany., Othman A; Department of Diagnostic and Interventional Radiology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany.; Institute of Neuroradiology, Johannes Gutenberg University Hospital Mainz, Mainz, Germany., Moltz J; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany., Peisen F; Department of Diagnostic and Interventional Radiology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany. |
| Source: | International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2024 Sep; Vol. 19 (9), pp. 1689-1697. Date of Electronic Publication: 2024 May 30. |
| Publication Type: | Journal Article; Multicenter Study; Validation Study |
| Journal Info: | Publisher: Springer Country of Publication: Germany NLM ID: 101499225 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1861-6429 (Electronic) Linking ISSN: 18616410 NLM ISO Abbreviation: Int J Comput Assist Radiol Surg Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38814528 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Hering+A%22">Hering A</searchLink>; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany. alessa.hering@mevis.fraunhofer.de.; Diagnostic Image Analysis Group, Radboudumc, Nijmegen, Netherlands. alessa.hering@mevis.fraunhofer.de.<br /><searchLink fieldCode="AU" term="%22Westphal+M%22">Westphal M</searchLink>; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany.<br /><searchLink fieldCode="AU" term="%22Gerken+A%22">Gerken A</searchLink>; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany.<br /><searchLink fieldCode="AU" term="%22Almansour+H%22">Almansour H</searchLink>; Department of Diagnostic and Interventional Radiology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany.<br /><searchLink fieldCode="AU" term="%22Maurer+M%22">Maurer M</searchLink>; Radiologisches Zentrum Offenbach-Dietzenbach, Dietzenbach, Germany.<br /><searchLink fieldCode="AU" term="%22Geisler+B%22">Geisler B</searchLink>; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany.<br /><searchLink fieldCode="AU" term="%22Kohlbrandt+T%22">Kohlbrandt T</searchLink>; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany.<br /><searchLink fieldCode="AU" term="%22Eigentler+T%22">Eigentler T</searchLink>; Department of Dermatology, Center of Dermato-Oncology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany.; Department of Dermatology, Venereology and Allergology, Charité University Hospital Berlin, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Amaral+T%22">Amaral T</searchLink>; Department of Dermatology, Center of Dermato-Oncology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany.<br /><searchLink fieldCode="AU" term="%22Lessmann+N%22">Lessmann N</searchLink>; Diagnostic Image Analysis Group, Radboudumc, Nijmegen, Netherlands.<br /><searchLink fieldCode="AU" term="%22Gatidis+S%22">Gatidis S</searchLink>; Department of Diagnostic and Interventional Radiology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany.; Max Planck Institute for Intelligent Systems, Tübingen, Germany.<br /><searchLink fieldCode="AU" term="%22Hahn+H%22">Hahn H</searchLink>; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany.<br /><searchLink fieldCode="AU" term="%22Nikolaou+K%22">Nikolaou K</searchLink>; Department of Diagnostic and Interventional Radiology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany.; Cluster of Excellence iFIT (EXC 2180) 'Image-Guided and Functionally Instructed Tumor Therapies', Faculty of Medicine, Eberhard Karls University, Tübingen, Germany.<br /><searchLink fieldCode="AU" term="%22Othman+A%22">Othman A</searchLink>; Department of Diagnostic and Interventional Radiology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany.; Institute of Neuroradiology, Johannes Gutenberg University Hospital Mainz, Mainz, Germany.<br /><searchLink fieldCode="AU" term="%22Moltz+J%22">Moltz J</searchLink>; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany.<br /><searchLink fieldCode="AU" term="%22Peisen+F%22">Peisen F</searchLink>; Department of Diagnostic and Interventional Radiology, Tübingen University Hospital, Eberhard Karls University, Tübingen, Germany. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101499225%22">International journal of computer assisted radiology and surgery</searchLink> [Int J Comput Assist Radiol Surg] 2024 Sep; Vol. 19 (9), pp. 1689-1697. <i>Date of Electronic Publication: </i>2024 May 30. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Multicenter Study; Validation Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>101499225 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1861-6429 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218616410%22">18616410 </searchLink><i>NLM ISO Abbreviation: </i>Int J Comput Assist Radiol Surg <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38814528 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11548-024-03181-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1689 Titles: – TitleFull: Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hering A – PersonEntity: Name: NameFull: Westphal M – PersonEntity: Name: NameFull: Gerken A – PersonEntity: Name: NameFull: Almansour H – PersonEntity: Name: NameFull: Maurer M – PersonEntity: Name: NameFull: Geisler B – PersonEntity: Name: NameFull: Kohlbrandt T – PersonEntity: Name: NameFull: Eigentler T – PersonEntity: Name: NameFull: Amaral T – PersonEntity: Name: NameFull: Lessmann N – PersonEntity: Name: NameFull: Gatidis S – PersonEntity: Name: NameFull: Hahn H – PersonEntity: Name: NameFull: Nikolaou K – PersonEntity: Name: NameFull: Othman A – PersonEntity: Name: NameFull: Moltz J – PersonEntity: Name: NameFull: Peisen F IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2024 Sep Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1861-6429 Numbering: – Type: volume Value: 19 – Type: issue Value: 9 Titles: – TitleFull: International journal of computer assisted radiology and surgery Type: main |
| ResultId | 1 |
