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dc.contributor.authorAmgad, M
dc.contributor.authorStovgaard, ES
dc.contributor.authorBalslev, E
dc.contributor.authorThagaard, J
dc.contributor.authorChen, W
dc.contributor.authorDudgeon, S
dc.contributor.authorSharma, A
dc.contributor.authorKerner, JK
dc.contributor.authorDenkert, C
dc.contributor.authorYuan, Y
dc.contributor.authorAbdulJabbar, K
dc.contributor.authorWienert, S
dc.contributor.authorSavas, P
dc.contributor.authorVoorwerk, L
dc.contributor.authorBeck, AH
dc.contributor.authorMadabhushi, A
dc.contributor.authorHartman, J
dc.contributor.authorSebastian, MM
dc.contributor.authorHorlings, HM
dc.contributor.authorHudeček, J
dc.contributor.authorCiompi, F
dc.contributor.authorMoore, DA
dc.contributor.authorSingh, R
dc.contributor.authorRoblin, E
dc.contributor.authorBalancin, ML
dc.contributor.authorMathieu, M-C
dc.contributor.authorLennerz, JK
dc.contributor.authorKirtani, P
dc.contributor.authorChen, I-C
dc.contributor.authorBraybrooke, JP
dc.contributor.authorPruneri, G
dc.contributor.authorDemaria, S
dc.contributor.authorAdams, S
dc.contributor.authorSchnitt, SJ
dc.contributor.authorLakhani, SR
dc.contributor.authorRojo, F
dc.contributor.authorComerma, L
dc.contributor.authorBadve, SS
dc.contributor.authorKhojasteh, M
dc.contributor.authorSymmans, WF
dc.contributor.authorSotiriou, C
dc.contributor.authorGonzalez-Ericsson, P
dc.contributor.authorPogue-Geile, KL
dc.contributor.authorKim, RS
dc.contributor.authorRimm, DL
dc.contributor.authorViale, G
dc.contributor.authorHewitt, SM
dc.contributor.authorBartlett, JMS
dc.contributor.authorPenault-Llorca, F
dc.contributor.authorGoel, S
dc.contributor.authorLien, H-C
dc.contributor.authorLoibl, S
dc.contributor.authorKos, Z
dc.contributor.authorLoi, S
dc.contributor.authorHanna, MG
dc.contributor.authorMichiels, S
dc.contributor.authorKok, M
dc.contributor.authorNielsen, TO
dc.contributor.authorLazar, AJ
dc.contributor.authorBago-Horvath, Z
dc.contributor.authorKooreman, LFS
dc.contributor.authorvan der Laak, JAWM
dc.contributor.authorSaltz, J
dc.contributor.authorGallas, BD
dc.contributor.authorKurkure, U
dc.contributor.authorBarnes, M
dc.contributor.authorSalgado, R
dc.contributor.authorCooper, LAD
dc.contributor.authorInternational Immuno-Oncology Biomarker Working Group
dc.date.accessioned2020-06-02T10:02:54Z
dc.date.issued2020-01
dc.identifier.citationNPJ breast cancer, 2020, 6 pp. 16 - ?
dc.identifier.issn2374-4677
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/3671
dc.identifier.eissn2374-4677
dc.identifier.doi10.1038/s41523-020-0154-2
dc.description.abstractAssessment of tumor-infiltrating lymphocytes (TILs) is increasingly recognized as an integral part of the prognostic workflow in triple-negative (TNBC) and HER2-positive breast cancer, as well as many other solid tumors. This recognition has come about thanks to standardized visual reporting guidelines, which helped to reduce inter-reader variability. Now, there are ripe opportunities to employ computational methods that extract spatio-morphologic predictive features, enabling computer-aided diagnostics. We detail the benefits of computational TILs assessment, the readiness of TILs scoring for computational assessment, and outline considerations for overcoming key barriers to clinical translation in this arena. Specifically, we discuss: 1. ensuring computational workflows closely capture visual guidelines and standards; 2. challenges and thoughts standards for assessment of algorithms including training, preanalytical, analytical, and clinical validation; 3. perspectives on how to realize the potential of machine learning models and to overcome the perceptual and practical limits of visual scoring.
dc.formatElectronic-eCollection
dc.format.extent16 - ?
dc.languageeng
dc.language.isoeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectInternational Immuno-Oncology Biomarker Working Group
dc.titleReport on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group.
dc.typeJournal Article
dcterms.dateAccepted2020-02-18
rioxxterms.versionofrecord10.1038/s41523-020-0154-2
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2020-01
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfNPJ breast cancer
pubs.notesNot known
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Computational Pathology & Integrated Genomics
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Computational Pathology & Integrated Genomics
pubs.publication-statusPublished
pubs.volume6
pubs.embargo.termsNot known
icr.researchteamComputational Pathology & Integrated Genomicsen_US
dc.contributor.icrauthorYuan, Yinyinen


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