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An interobserver reproducibility analysis of size-set semiautomatic counting for Ki67 assessment in breast cancer
PURPOSE: The proliferation marker Ki67 has prognostic and predictive values in breast cancer, and the cutoff of the Ki67 label index (LI) is a key index for chemotherapy. However, poor interobserver consistency in Ki67 assessment has limited the clinical use of Ki67, especially in luminal cancers. H...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375572/ https://www.ncbi.nlm.nih.gov/pubmed/31911370 http://dx.doi.org/10.1016/j.breast.2019.12.009 |
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author | Wang, Yi-xing Wang, Yuan-yuan Yang, Cheng-gang Bu, Hong Yang, Wen-tao Wang, Li Xu, Wen-mang Zhao, Xi-long Zhao, Wen-xing Li, Lei Song, Shu-ling Yang, Ju-lun |
author_facet | Wang, Yi-xing Wang, Yuan-yuan Yang, Cheng-gang Bu, Hong Yang, Wen-tao Wang, Li Xu, Wen-mang Zhao, Xi-long Zhao, Wen-xing Li, Lei Song, Shu-ling Yang, Ju-lun |
author_sort | Wang, Yi-xing |
collection | PubMed |
description | PURPOSE: The proliferation marker Ki67 has prognostic and predictive values in breast cancer, and the cutoff of the Ki67 label index (LI) is a key index for chemotherapy. However, poor interobserver consistency in Ki67 assessment has limited the clinical use of Ki67, especially in luminal cancers. Here, we reported a modified Ki67 assessment method, size-set semiautomatic counting (SSSAC) and investigated its interobserver reproducibility. METHODS: One hundred invasive breast cancer tissues were set immunostained for Ki67 in one laboratory, scanned as digital slides, and sent to 41 pathologists at the laboratories of 16 hospitals for Ki67 LI assessment using size-set semiautomatic counting (SSSAC), size-set visual assessment (SSVA) and size-set digital image analysis (SSDIA) with a specific image viewing software (Aperio Image Scope, Leica, Germany). The intraclass correlation coefficient (ICC) and Bland-Altman plot were used to evaluate interobserver reproducibility. The Wilcoxon signed-rank test was used to analyze the difference in the Ki67 values assessed by SSSAC and SSDIA. RESULTS: SSSAC demonstrated better interobserver reproducibility (ICC = 0.942) than SSVA (ICC = 0.802). The interobserver reproducibility was better in Ki67 homogeneously stained slides and centralized hot-spot slides than in scattered hot-spot slides. The Ki67 value assessed with SSSAC was obviously higher than that assessed with SSDIA (negative ranks (SSDIA < SSSAC): N = 80, sum of ranks = 4274.50; positive ranks (SSDIA > SSSAC): N = 17, sum of ranks = 478.50; Z = −6.837; P < 0.001). CONCLUSION: SSSAC shows satisfactory interobserver reproducibility in the Ki67 assessment of breast cancer and may be a candidate standard method for Ki67 LI assessment in breast cancer and other malignancies. |
format | Online Article Text |
id | pubmed-7375572 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-73755722020-07-29 An interobserver reproducibility analysis of size-set semiautomatic counting for Ki67 assessment in breast cancer Wang, Yi-xing Wang, Yuan-yuan Yang, Cheng-gang Bu, Hong Yang, Wen-tao Wang, Li Xu, Wen-mang Zhao, Xi-long Zhao, Wen-xing Li, Lei Song, Shu-ling Yang, Ju-lun Breast Original Article PURPOSE: The proliferation marker Ki67 has prognostic and predictive values in breast cancer, and the cutoff of the Ki67 label index (LI) is a key index for chemotherapy. However, poor interobserver consistency in Ki67 assessment has limited the clinical use of Ki67, especially in luminal cancers. Here, we reported a modified Ki67 assessment method, size-set semiautomatic counting (SSSAC) and investigated its interobserver reproducibility. METHODS: One hundred invasive breast cancer tissues were set immunostained for Ki67 in one laboratory, scanned as digital slides, and sent to 41 pathologists at the laboratories of 16 hospitals for Ki67 LI assessment using size-set semiautomatic counting (SSSAC), size-set visual assessment (SSVA) and size-set digital image analysis (SSDIA) with a specific image viewing software (Aperio Image Scope, Leica, Germany). The intraclass correlation coefficient (ICC) and Bland-Altman plot were used to evaluate interobserver reproducibility. The Wilcoxon signed-rank test was used to analyze the difference in the Ki67 values assessed by SSSAC and SSDIA. RESULTS: SSSAC demonstrated better interobserver reproducibility (ICC = 0.942) than SSVA (ICC = 0.802). The interobserver reproducibility was better in Ki67 homogeneously stained slides and centralized hot-spot slides than in scattered hot-spot slides. The Ki67 value assessed with SSSAC was obviously higher than that assessed with SSDIA (negative ranks (SSDIA < SSSAC): N = 80, sum of ranks = 4274.50; positive ranks (SSDIA > SSSAC): N = 17, sum of ranks = 478.50; Z = −6.837; P < 0.001). CONCLUSION: SSSAC shows satisfactory interobserver reproducibility in the Ki67 assessment of breast cancer and may be a candidate standard method for Ki67 LI assessment in breast cancer and other malignancies. Elsevier 2019-12-20 /pmc/articles/PMC7375572/ /pubmed/31911370 http://dx.doi.org/10.1016/j.breast.2019.12.009 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Wang, Yi-xing Wang, Yuan-yuan Yang, Cheng-gang Bu, Hong Yang, Wen-tao Wang, Li Xu, Wen-mang Zhao, Xi-long Zhao, Wen-xing Li, Lei Song, Shu-ling Yang, Ju-lun An interobserver reproducibility analysis of size-set semiautomatic counting for Ki67 assessment in breast cancer |
title | An interobserver reproducibility analysis of size-set semiautomatic counting for Ki67 assessment in breast cancer |
title_full | An interobserver reproducibility analysis of size-set semiautomatic counting for Ki67 assessment in breast cancer |
title_fullStr | An interobserver reproducibility analysis of size-set semiautomatic counting for Ki67 assessment in breast cancer |
title_full_unstemmed | An interobserver reproducibility analysis of size-set semiautomatic counting for Ki67 assessment in breast cancer |
title_short | An interobserver reproducibility analysis of size-set semiautomatic counting for Ki67 assessment in breast cancer |
title_sort | interobserver reproducibility analysis of size-set semiautomatic counting for ki67 assessment in breast cancer |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375572/ https://www.ncbi.nlm.nih.gov/pubmed/31911370 http://dx.doi.org/10.1016/j.breast.2019.12.009 |
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