dc.contributor
Institut Català de la Salut
dc.contributor
[Serna G, Simonetti S, Fasani R, Guardia X, Gallego P, Jimenez J, Nuciforo P] Molecular Oncology Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain. [Pagliuca F] University of Naples Federico II, Department of Advanced Biomedical Sciences, Pathology Section, Naples, Italy. [Peg V, Ramon Y Cajal S] Servei d’Anatomia Patològica, Vall d'Hebron Hospital Universitari, Barcelona, Spain. [Saura C] Breast Cancer and Melanoma Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
dc.contributor
Vall d'Hebron Barcelona Hospital Campus
dc.contributor.author
Fasani, Roberta
dc.contributor.author
Pagliuca, Francesca
dc.contributor.author
Gallego Valades, Francisca
dc.contributor.author
Jiménez Flores, José Antonio
dc.contributor.author
Peg Camara, Vicente
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Ramon y Cajal Agüeras, Santiago
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Nuciforo, Paolo Giovanni
dc.contributor.author
Saura Manich, Cristina
dc.contributor.author
Serna, Garazi
dc.contributor.author
Guardia, Xavier
dc.contributor.author
Simonetti, Sara
dc.date.issued
2021-10-18T08:18:20Z
dc.date.issued
2021-10-18T08:18:20Z
dc.date.issued
2020-10-01
dc.identifier
Serna G, Simonetti S, Fasani R, Pagliuca F, Guardia X, Gallego P, et al. Sequential immunohistochemistry and virtual image reconstruction using a single slide for quantitative KI67 measurement in breast cancer. Breast. 2020 Oct 1;53:102–10.
dc.identifier
https://hdl.handle.net/11351/6403
dc.identifier
10.1016/j.breast.2020.07.002
dc.identifier
000573862600016
dc.description.abstract
Càncer de mama; Anàlisi d'imatges digitals; Quantificació de Ki67
dc.description.abstract
Breast cancer; Digital image analysis; Ki67 quantification
dc.description.abstract
Cáncer de mama; Análisis de imágenes digitales; Cuantificación de Ki67
dc.description.abstract
Objective
Ki67 is a prognostic and predictive marker in breast cancer (BC). However, manual scoring (MS) by visual assessment suffers from high inter-observer variability which limits its clinical use. Here, we developed a new digital image analysis (DIA) workflow, named KiQuant for automated scoring of Ki67 and investigated its equivalence with standard pathologist's assessment.
Methods
Sequential immunohistochemistry of Ki67 and cytokeratin, for precise tumor cell recognition, were performed in the same section of 5 tissue microarrays containing 329 tumor cores from different breast cancer subtypes. Slides were digitalized and subjected to DIA and MS for Ki67 assessment. The intraclass correlation coefficient (ICC) and Bland-Altman plot were used to evaluate inter-observer reproducibility. The Kaplan-Meier analysis was used to determine the prognostic potential.
Results
KiQuant showed an excellent correlation with MS (ICC:0.905,95%CI:0.878–0.926) with satisfactory inter-run (ICC:0.917,95%CI:0.884–0.942) and inter-antibody reproducibilities (ICC:0.886,95%CI:0.820–0.929). The distance between KiQuant and MS increased with the magnitude of Ki67 measurement and positively correlated with analyzed tumor area and breast cancer subtype. Agreement rates between KiQuant and MS within the clinically relevant 14% and 30% cut-off points ranged from 33% to 44% with modest interobserver reproducibility below the 20% cut-off (0.606, 95%CI:0.467–0.727). High Ki67 by KiQuant correlated with worse outcome in all BC and in the luminal subtype ( P = 0.028 and P = 0.043, respectively). For MS, the association with survival was significant only in 1 out of 3 observers.
Conclusions
KiQuant represents an easy and accurate methodology for Ki67 measurement providing a step toward utilizing Ki67 in the clinical setting.
dc.format
application/pdf
dc.format
application/pdf
dc.relation
https://doi.org/10.1016/j.breast.2020.07.002
dc.rights
Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Immunohistoquímica
dc.subject
Imatges - Processament - Tècniques digitals
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DISEASES::Neoplasms::Neoplasms by Site::Breast Neoplasms
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INFORMATION SCIENCE::Information Science::Computing Methodologies::Image Processing, Computer-Assisted
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ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Clinical Laboratory Techniques::Cytological Techniques::Histocytochemistry::Immunohistochemistry
dc.subject
ENFERMEDADES::enfermedades de la piel y tejido conjuntivo::enfermedades de la piel::enfermedades de la mama::neoplasias de la mama
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CIENCIA DE LA INFORMACIÓN::Ciencias de la información::metodologías computacionales::procesamiento de imágenes asistido por ordenador
dc.subject
TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::técnicas de laboratorio clínico::técnicas citológicas::histocitoquímica::inmunohistoquímica
dc.title
Sequential immunohistochemistry and virtual image reconstruction using a single slide for quantitative KI67 measurement in breast cancer
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion