Artificial intelligence-based digital scores of stromal tumour-infiltrating lymphocytes and tumour-associated stroma predict disease-specific survival in triple-negative breast cancer.
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| Title: | Artificial intelligence-based digital scores of stromal tumour-infiltrating lymphocytes and tumour-associated stroma predict disease-specific survival in triple-negative breast cancer. |
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| Authors: | Albusayli R; Tissue Image Analytics Centre, The University of Warwick, Coventry, UK., Graham JD; The Westmead Institute for Medical Research, The University of Sydney, Sydney, NSW, Australia.; Westmead Breast Cancer Institute, Western Sydney Local Health District, Sydney, NSW, Australia., Pathmanathan N; Westmead Breast Cancer Institute, Western Sydney Local Health District, Sydney, NSW, Australia.; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia., Shaban M; Harvard Medical School, Harvard University, Boston, MA, USA., Raza SEA; Tissue Image Analytics Centre, The University of Warwick, Coventry, UK., Minhas F; Tissue Image Analytics Centre, The University of Warwick, Coventry, UK., Armes JE; Pathology Queensland, Queensland Health, Herston, QLD, Australia., Rajpoot N; Tissue Image Analytics Centre, The University of Warwick, Coventry, UK.; The Alan Turing Institute, London, UK. |
| Source: | The Journal of pathology [J Pathol] 2023 May; Vol. 260 (1), pp. 32-42. Date of Electronic Publication: 2023 Feb 24. |
| 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 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36705810 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Artificial intelligence-based digital scores of stromal tumour-infiltrating lymphocytes and tumour-associated stroma predict disease-specific survival in triple-negative breast cancer. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Albusayli+R%22">Albusayli R</searchLink>; Tissue Image Analytics Centre, The University of Warwick, Coventry, UK.<br /><searchLink fieldCode="AU" term="%22Graham+JD%22">Graham JD</searchLink>; The Westmead Institute for Medical Research, The University of Sydney, Sydney, NSW, Australia.; Westmead Breast Cancer Institute, Western Sydney Local Health District, Sydney, NSW, Australia.<br /><searchLink fieldCode="AU" term="%22Pathmanathan+N%22">Pathmanathan N</searchLink>; Westmead Breast Cancer Institute, Western Sydney Local Health District, Sydney, NSW, Australia.; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.<br /><searchLink fieldCode="AU" term="%22Shaban+M%22">Shaban M</searchLink>; Harvard Medical School, Harvard University, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Raza+SEA%22">Raza SEA</searchLink>; Tissue Image Analytics Centre, The University of Warwick, Coventry, UK.<br /><searchLink fieldCode="AU" term="%22Minhas+F%22">Minhas F</searchLink>; Tissue Image Analytics Centre, The University of Warwick, Coventry, UK.<br /><searchLink fieldCode="AU" term="%22Armes+JE%22">Armes JE</searchLink>; Pathology Queensland, Queensland Health, Herston, QLD, Australia.<br /><searchLink fieldCode="AU" term="%22Rajpoot+N%22">Rajpoot N</searchLink>; Tissue Image Analytics Centre, The University of Warwick, Coventry, UK.; The Alan Turing Institute, London, UK. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220204634%22">The Journal of pathology</searchLink> [J Pathol] 2023 May; Vol. 260 (1), pp. 32-42. <i>Date of Electronic Publication: </i>2023 Feb 24. – 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=36705810 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/path.6061 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 32 Titles: – TitleFull: Artificial intelligence-based digital scores of stromal tumour-infiltrating lymphocytes and tumour-associated stroma predict disease-specific survival in triple-negative breast cancer. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Albusayli R – PersonEntity: Name: NameFull: Graham JD – PersonEntity: Name: NameFull: Pathmanathan N – PersonEntity: Name: NameFull: Shaban M – PersonEntity: Name: NameFull: Raza SEA – PersonEntity: Name: NameFull: Minhas F – PersonEntity: Name: NameFull: Armes JE – PersonEntity: Name: NameFull: Rajpoot N IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2023 May Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1096-9896 Numbering: – Type: volume Value: 260 – Type: issue Value: 1 Titles: – TitleFull: The Journal of pathology Type: main |
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