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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.
Afiliação
  • Wang YX; Department of Pathology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming, Yunnan, 650100, PR China. Electronic address: 784503159@qq.com.
  • Wang YY; Department of Pathology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming, Yunnan, 650100, PR China. Electronic address: wyy131328@126.com.
  • Yang CG; Department of Pathology, Yunnan Cancer Hospital, Kunming, Yunnan, 650032, PR China. Electronic address: 2399853539@qq.com.
  • Bu H; Department of Pathology, West China Hospital, Sichuan University, Chengdu, 610041, PR China. Electronic address: hbpathology@126.com.
  • Yang WT; Department of Pathology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, PR China. Electronic address: yangwt2000@163.com.
  • Wang L; Department of Pathology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming, Yunnan, 650100, PR China. Electronic address: 2001wl@163.com.
  • Xu WM; Department of Pathology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming, Yunnan, 650100, PR China. Electronic address: highskysky@126.com.
  • Zhao XL; Department of Pathology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming, Yunnan, 650100, PR China. Electronic address: zhaoxilong@aliyun.com.
  • Zhao WX; Department of Pathology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming, Yunnan, 650100, PR China. Electronic address: wenxingzhao@sohu.com.
  • Li L; Department of Pathology, Yunnan Cancer Hospital, Kunming, Yunnan, 650032, PR China. Electronic address: 120.lilei@163.com.
  • Song SL; Department of Pathology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming, Yunnan, 650100, PR China. Electronic address: 871819779@qq.com.
  • Yang JL; Department of Pathology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming, Yunnan, 650100, PR China. Electronic address: yangjulun@sina.com.
Breast ; 49: 225-232, 2020 Feb.
Article em En | MEDLINE | ID: mdl-31911370
ABSTRACT

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.
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Texto completo: 1 Temas: ECOS / Aspectos_gerais Bases de dados: MEDLINE Assunto principal: Neoplasias da Mama / Interpretação de Imagem Assistida por Computador / Carcinoma Ductal de Mama / Antígeno Ki-67 Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Female / Humans Idioma: En Revista: Breast Assunto da revista: ENDOCRINOLOGIA / NEOPLASIAS Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Temas: ECOS / Aspectos_gerais Bases de dados: MEDLINE Assunto principal: Neoplasias da Mama / Interpretação de Imagem Assistida por Computador / Carcinoma Ductal de Mama / Antígeno Ki-67 Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Female / Humans Idioma: En Revista: Breast Assunto da revista: ENDOCRINOLOGIA / NEOPLASIAS Ano de publicação: 2020 Tipo de documento: Article