Deep learning-based H&E-derived risk scores in colorectal cancer: associations with tumour morphology, biology, and predicted drug response.
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| Title: | Deep learning-based H&E-derived risk scores in colorectal cancer: associations with tumour morphology, biology, and predicted drug response. |
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| Authors: | Reitsam NG; Pathology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.; Bavarian Center for Cancer Research, BZKF, Augsburg, Germany.; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany., Jiang X; Department of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of PR China (UESTC), Chengdu, PR China., Liang J; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany.; State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, PR China., Grosser B; Pathology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.; Bavarian Center for Cancer Research, BZKF, Augsburg, Germany.; Institute of Pathology, Technical University of Munich, Munich, Germany., Grozdanov V; Department of Neurology, Ulm University, Ulm, Germany., Loeffler CM; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany.; Department of Medicine I, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.; National Center for Tumor Diseases Dresden (NCT/UCC), a Partnership Between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany., Gustav M; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany., Lenz T; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany., Muti HS; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany.; National Center for Tumor Diseases Dresden (NCT/UCC), a Partnership Between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany.; Department for Visceral, Thoracic and Vascular Surgery, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany., Carrero ZI; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany., West NP; Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK., Quirke P; Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK., Foersch S; Institute of Pathology, University Medical Center, Mainz, Germany., Jesinghaus M; Institute of Pathology, Philipps University Marburg and University Hospital Marburg, Marburg, Germany., Müller W; Pathologie Starnberg, Starnberg, Germany., Yuan T; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany., Hoffmeister M; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany., Brenner H; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.; Cancer Prevention Graduate School, German Cancer Research Center (DKFZ), Heidelberg, Germany.; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany., Jonnagaddala J; School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Kensington, Australia., Hawkins NJ; School of Biomedical Sciences, Faculty of Medicine and Health, UNSW Sydney, Kensington, Australia., Ward RL; Monash University, Melbourne, Australia., Grabsch HI; Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.; Department of Pathology, GROW - Research Institute for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands., Märkl B; Pathology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.; Bavarian Center for Cancer Research, BZKF, Augsburg, Germany., Kather JN; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany.; Department of Medicine I, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.; Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.; Medical Oncology, National Center for Tumour Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany. |
| Source: | The Journal of pathology [J Pathol] 2026 May; Vol. 269 (1), pp. 112-124. Date of Electronic Publication: 2026 Feb 20. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: John Wiley And Sons Country of Publication: England NLM ID: 0204634 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-9896 (Electronic) Linking ISSN: 00223417 NLM ISO Abbreviation: J Pathol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41716034 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep learning-based H&E-derived risk scores in colorectal cancer: associations with tumour morphology, biology, and predicted drug response. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Reitsam+NG%22">Reitsam NG</searchLink>; Pathology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.; Bavarian Center for Cancer Research, BZKF, Augsburg, Germany.; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Jiang+X%22">Jiang X</searchLink>; Department of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of PR China (UESTC), Chengdu, PR China.<br /><searchLink fieldCode="AU" term="%22Liang+J%22">Liang J</searchLink>; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany.; State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, PR China.<br /><searchLink fieldCode="AU" term="%22Grosser+B%22">Grosser B</searchLink>; Pathology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.; Bavarian Center for Cancer Research, BZKF, Augsburg, Germany.; Institute of Pathology, Technical University of Munich, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Grozdanov+V%22">Grozdanov V</searchLink>; Department of Neurology, Ulm University, Ulm, Germany.<br /><searchLink fieldCode="AU" term="%22Loeffler+CM%22">Loeffler CM</searchLink>; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany.; Department of Medicine I, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.; National Center for Tumor Diseases Dresden (NCT/UCC), a Partnership Between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Gustav+M%22">Gustav M</searchLink>; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Lenz+T%22">Lenz T</searchLink>; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Muti+HS%22">Muti HS</searchLink>; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany.; National Center for Tumor Diseases Dresden (NCT/UCC), a Partnership Between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany.; Department for Visceral, Thoracic and Vascular Surgery, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Carrero+ZI%22">Carrero ZI</searchLink>; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22West+NP%22">West NP</searchLink>; Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.<br /><searchLink fieldCode="AU" term="%22Quirke+P%22">Quirke P</searchLink>; Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.<br /><searchLink fieldCode="AU" term="%22Foersch+S%22">Foersch S</searchLink>; Institute of Pathology, University Medical Center, Mainz, Germany.<br /><searchLink fieldCode="AU" term="%22Jesinghaus+M%22">Jesinghaus M</searchLink>; Institute of Pathology, Philipps University Marburg and University Hospital Marburg, Marburg, Germany.<br /><searchLink fieldCode="AU" term="%22Müller+W%22">Müller W</searchLink>; Pathologie Starnberg, Starnberg, Germany.<br /><searchLink fieldCode="AU" term="%22Yuan+T%22">Yuan T</searchLink>; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Hoffmeister+M%22">Hoffmeister M</searchLink>; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Brenner+H%22">Brenner H</searchLink>; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.; Cancer Prevention Graduate School, German Cancer Research Center (DKFZ), Heidelberg, Germany.; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Jonnagaddala+J%22">Jonnagaddala J</searchLink>; School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Kensington, Australia.<br /><searchLink fieldCode="AU" term="%22Hawkins+NJ%22">Hawkins NJ</searchLink>; School of Biomedical Sciences, Faculty of Medicine and Health, UNSW Sydney, Kensington, Australia.<br /><searchLink fieldCode="AU" term="%22Ward+RL%22">Ward RL</searchLink>; Monash University, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Grabsch+HI%22">Grabsch HI</searchLink>; Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.; Department of Pathology, GROW - Research Institute for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Märkl+B%22">Märkl B</searchLink>; Pathology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.; Bavarian Center for Cancer Research, BZKF, Augsburg, Germany.<br /><searchLink fieldCode="AU" term="%22Kather+JN%22">Kather JN</searchLink>; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine, TUD Dresden University of Technology, Dresden, Germany.; Department of Medicine I, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.; Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.; Medical Oncology, National Center for Tumour Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220204634%22">The Journal of pathology</searchLink> [J Pathol] 2026 May; Vol. 269 (1), pp. 112-124. <i>Date of Electronic Publication: </i>2026 Feb 20. – 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="%22John+Wiley+And+Sons%22">John Wiley And Sons </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0204634 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1096-9896 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200223417%22">00223417 </searchLink><i>NLM ISO Abbreviation: </i>J Pathol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41716034 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/path.70039 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 112 Titles: – TitleFull: Deep learning-based H&E-derived risk scores in colorectal cancer: associations with tumour morphology, biology, and predicted drug response. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Reitsam NG – PersonEntity: Name: NameFull: Jiang X – PersonEntity: Name: NameFull: Liang J – PersonEntity: Name: NameFull: Grosser B – PersonEntity: Name: NameFull: Grozdanov V – PersonEntity: Name: NameFull: Loeffler CM – PersonEntity: Name: NameFull: Gustav M – PersonEntity: Name: NameFull: Lenz T – PersonEntity: Name: NameFull: Muti HS – PersonEntity: Name: NameFull: Carrero ZI – PersonEntity: Name: NameFull: West NP – PersonEntity: Name: NameFull: Quirke P – PersonEntity: Name: NameFull: Foersch S – PersonEntity: Name: NameFull: Jesinghaus M – PersonEntity: Name: NameFull: Müller W – PersonEntity: Name: NameFull: Yuan T – PersonEntity: Name: NameFull: Hoffmeister M – PersonEntity: Name: NameFull: Brenner H – PersonEntity: Name: NameFull: Jonnagaddala J – PersonEntity: Name: NameFull: Hawkins NJ – PersonEntity: Name: NameFull: Ward RL – PersonEntity: Name: NameFull: Grabsch HI – PersonEntity: Name: NameFull: Märkl B – PersonEntity: Name: NameFull: Kather JN IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2026 May Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1096-9896 Numbering: – Type: volume Value: 269 – Type: issue Value: 1 Titles: – TitleFull: The Journal of pathology Type: main |
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