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ONEST (Observers Needed to Evaluate Subjective Tests) Analysis of Stromal Tumour-Infiltrating Lymphocytes (sTILs) in Breast Cancer and Its Limitations.
Cserni, Bálint; Kilmartin, Darren; O'Loughlin, Mark; Andreu, Xavier; Bagó-Horváth, Zsuzsanna; Bianchi, Simonetta; Chmielik, Ewa; Figueiredo, Paulo; Floris, Giuseppe; Foschini, Maria Pia; Kovács, Anikó; Heikkilä, Päivi; Kulka, Janina; Laenkholm, Anne-Vibeke; Liepniece-Karele, Inta; Marchiò, Caterina; Provenzano, Elena; Regitnig, Peter; Reiner, Angelika; Ryska, Ales; Sapino, Anna; Stovgaard, Elisabeth Specht; Quinn, Cecily; Zolota, Vasiliki; Webber, Mark; Glynn, Sharon A; Bori, Rita; Csörgo, Erika; Oláh-Németh, Orsolya; Pancsa, Tamás; Sejben, Anita; Sejben, István; Vörös, András; Zombori, Tamás; Nyári, Tibor; Callagy, Grace; Cserni, Gábor.
Afiliação
  • Cserni B; TNG Technology Consulting GmbH, Király u. 26., 1061 Budapest, Hungary.
  • Kilmartin D; Discipline of Pathology, Lambe Institute for Translational Research, School of Medicine, University of Galway, H91 TK33 Galway, Ireland.
  • O'Loughlin M; Discipline of Pathology, Lambe Institute for Translational Research, School of Medicine, University of Galway, H91 TK33 Galway, Ireland.
  • Andreu X; Pathology Department, Atryshealth Co., Ltd., 08039 Barcelona, Spain.
  • Bagó-Horváth Z; Department of Pathology, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria.
  • Bianchi S; Division of Pathological Anatomy, Department of Health Sciences, University of Florence, 50134 Florence, Italy.
  • Chmielik E; Tumor Pathology Department, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-102 Gliwice, Poland.
  • Figueiredo P; Laboratório de Anatomia Patológica, IPO Coimbra, 3000-075 Coimbra, Portugal.
  • Floris G; Laboratory of Translational Cell & Tissue Research and KU Leuven, Department of Imaging and Pathology, Department of Pathology, University Hospitals Leuven, University of Leuven, Oude Market 13, 3000 Leuven, Belgium.
  • Foschini MP; Unit of Anatomic Pathology, Department of Biomedical and Neuromotor Sciences, University of Bologna, Bellaria Hospital, 40139 Bologna, Italy.
  • Kovács A; Department of Clinical Pathology, Sahlgrenska University Hospital, 41345 Gothenburg, Sweden.
  • Heikkilä P; Department of Pathology, Helsinki University Central Hospital, 00029 Helsinki, Finland.
  • Kulka J; Department of Pathology, Forensic and Insurance Medicine, Semmelweis University Budapest, Ülloi út 93, 1091 Budapest, Hungary.
  • Laenkholm AV; Department of Surgical Pathology, Zealand University Hospital, 4000 Roskilde, Denmark.
  • Liepniece-Karele I; Department of Pathology, Riga Stradins University, Riga East Clinical University Hospital, LV-1038 Riga, Latvia.
  • Marchiò C; Unit of Pathology, Candiolo Cancer Institute FPO-IRCCS, 10060 Candiolo, Italy.
  • Provenzano E; Department of Medical Sciences, University of Turin, 10126 Turin, Italy.
  • Regitnig P; Department of Histopathology, Cambridge University Hospitals National Health Service (NHS) Foundation Trust, Cambridge CB2 0QQ, UK.
  • Reiner A; National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge CB2 0QQ, UK.
  • Ryska A; Diagnostic and Research Institute of Pathology, Medical University of Graz, 8010 Graz, Austria.
  • Sapino A; Department of Pathology, Klinikum Donaustadt, 1090 Vienna, Austria.
  • Stovgaard ES; The Fingerland Department of Pathology, Charles University Medical Faculty and University Hospital, 50003 Hradec Kralove, Czech Republic.
  • Quinn C; Unit of Pathology, Candiolo Cancer Institute FPO-IRCCS, 10060 Candiolo, Italy.
  • Zolota V; Department of Medical Sciences, University of Turin, 10126 Turin, Italy.
  • Webber M; Pathology Department, Herlev University Hospital, DK-2730 Herlev, Denmark.
  • Glynn SA; Department of Histopathology, Irish National Breast Screening Programme, BreastCheck, St. Vincent's University Hospital and School of Medicine, University College Dublin, D04 T6F4 Dublin, Ireland.
  • Bori R; School of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland.
  • Csörgo E; Department of Pathology, School of Medicine, University of Patras, 26504 Rion, Greece.
  • Oláh-Németh O; Discipline of Pathology, Lambe Institute for Translational Research, School of Medicine, University of Galway, H91 TK33 Galway, Ireland.
  • Pancsa T; Discipline of Pathology, Lambe Institute for Translational Research, School of Medicine, University of Galway, H91 TK33 Galway, Ireland.
  • Sejben A; Department of Pathology, Bács-Kiskun County Teaching Hospital, 6000 Kecskemét, Hungary.
  • Sejben I; Department of Pathology, Bács-Kiskun County Teaching Hospital, 6000 Kecskemét, Hungary.
  • Vörös A; Department of Pathology, University of Szeged, 6720 Szeged, Hungary.
  • Zombori T; Department of Pathology, University of Szeged, 6720 Szeged, Hungary.
  • Nyári T; Department of Pathology, University of Szeged, 6720 Szeged, Hungary.
  • Callagy G; Department of Pathology, Bács-Kiskun County Teaching Hospital, 6000 Kecskemét, Hungary.
  • Cserni G; Department of Pathology, University of Szeged, 6720 Szeged, Hungary.
Cancers (Basel) ; 15(4)2023 Feb 14.
Article em En | MEDLINE | ID: mdl-36831541
ABSTRACT
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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Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Outros_tipos Base de dados: MEDLINE Idioma: En Revista: Cancers (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Hungria

Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Outros_tipos Base de dados: MEDLINE Idioma: En Revista: Cancers (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Hungria