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Autor
Andreu, Xavier 1 Bagó-Horváth, Zsuzsanna 1 Bianchi, Simonetta 1 Bori, Rita 1 Callagy, Grace 1 Chmielik, Ewa 1 Cserni, Bálint 1 Cserni, Gábor 1 Csörgő, Erika 1 Figueiredo, Paulo 1 Floris, Giuseppe 1 Foschini, Maria Pia 1 Glynn, Sharon A 1 Heikkilä, Päivi 1 Kilmartin, Darren 1 Kovács, Anikó 1 Kulka, Janina 1 Laenkholm, Anne-Vibeke 1 Liepniece-Karele, Inta 1 Marchiò, Caterina 1
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Pracoviště
Department of Clinical Pathology Sahlgrenska... 1 Department of Histopathology Cambridge Unive... 1 Department of Histopathology Irish National ... 1 Department of Medical Physics and Informatic... 1 Department of Medical Sciences University of... 1 Department of Pathology Bács Kiskun County T... 1 Department of Pathology Forensic and Insuran... 1 Department of Pathology Helsinki University ... 1 Department of Pathology Klinikum Donaustadt ... 1 Department of Pathology Medical University o... 1 Department of Pathology Riga Stradins Univer... 1 Department of Pathology School of Medicine U... 1 Department of Pathology University of Szeged... 1 Department of Surgical Pathology Zealand Uni... 1 Diagnostic and Research Institute of Patholo... 1 Discipline of Pathology Lambe Institute for ... 1 Division of Pathological Anatomy Department ... 1 Laboratory of Translational Cell and Tissue ... 1 Laboratório de Anatomia Patológica IPO Coimb... 1 National Institute for Health Research Cambr... 1
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NLK
Directory of Open Access Journals
od 2010
Free Medical Journals
od 2009
PubMed Central
od 2009
Europe PubMed Central
od 2009
ProQuest Central
od 2009-01-01
Open Access Digital Library
od 2009-01-01
Open Access Digital Library
od 2009-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2009
PubMed
36831541
DOI
10.3390/cancers15041199
Knihovny.cz E-zdroje
Tumour-infiltrating lymphocytes (TILs) reflect antitumour immunity. Their evaluation of histopathology specimens is influenced by several factors and is subject to issues of reproducibility. ONEST (Observers Needed to Evaluate Subjective Tests) helps in determining the number of observers that would be sufficient for the reliable estimation of inter-observer agreement of TIL categorisation. This has not been explored previously in relation to TILs. ONEST analyses, using an open-source software developed by the first author, were performed on TIL quantification in breast cancers taken from two previous studies. These were one reproducibility study involving 49 breast cancers, 23 in the first circulation and 14 pathologists in the second circulation, and one study involving 100 cases and 9 pathologists. In addition to the estimates of the number of observers required, other factors influencing the results of ONEST were examined. The analyses reveal that between six and nine observers (range 2-11) are most commonly needed to give a robust estimate of reproducibility. In addition, the number and experience of observers, the distribution of values around or away from the extremes, and outliers in the classification also influence the results. Due to the simplicity and the potentially relevant information it may give, we propose ONEST to be a part of new reproducibility analyses.
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Po ukončení testovacího provozu bude odkaz přesměrován adresu produkční verze portálu Medvik.