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Interobserver Variability of Ki-67 Measurement in Breast Cancer
Yul Ri Chung, Min Hye Jang, So Yeon Park, Gyungyub Gong, Woo-Hee Jung, The Korean Breast Pathology Ki- Study Group
J Pathol Transl Med. 2016;50(2):129-137.   Published online February 15, 2016
DOI: https://doi.org/10.4132/jptm.2015.12.24
  • 9,351 View
  • 109 Download
  • 20 Web of Science
  • 21 Crossref
AbstractAbstract PDF
Background
As measurement of Ki-67 proliferation index is an important part of breast cancer diagnostics, we conducted a multicenter study to examine the degree of concordance in Ki-67 counting and to find factors that lead to its variability. Methods: Thirty observers from thirty different institutions reviewed Ki-67–stained slides of 20 different breast cancers on whole sections and tissue microarray (TMA) by online system. Ten of the 20 breast cancers had hot spots of Ki-67 expression. Each observer scored Ki-67 in two different ways: direct counting (average vs. hot spot method) and categorical estimation. Intraclass correlation coefficient (ICC) of Ki-67 index was calculated for comparative analysis. Results: For direct counting, ICC of TMA was slightly higher than that of whole sections using average method (0.895 vs 0.858). The ICC of tumors with hot spots was lower than that of tumors without (0.736 vs 0.874). In tumors with hot spots, observers took an additional counting from the hot spot; the ICC of whole sections using hot spot method was still lower than that of TMA (0.737 vs 0.895). In categorical estimation, Ki-67 index showed a wide distribution in some cases. Nevertheless, in tumors with hot spots, the range of distribution in Ki-67 categories was decreased with hot spot method and in TMA platform. Conclusions: Interobserver variability of Ki-67 index for direct counting and categorical estimation was relatively high. Tumors with hot spots showed greater interobserver variability as opposed to those without, and restricting the measurement area yielded lower interobserver variability.

Citations

Citations to this article as recorded by  
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    Therese Bocklage, Virgilius Cornea, Caylin Hickey, Justin Miller, Jessica Moss, Mara Chambers, S. Emily Bachert
    Applied Immunohistochemistry & Molecular Morphology.2024; 32(3): 119.     CrossRef
  • Predictive Value of Ki-67 Index in Evaluating Sporadic Vestibular Schwannoma Recurrence: Systematic Review and Meta-analysis
    Kunal Vakharia, Hirotaka Hasegawa, Christopher Graffeo, Mohammad H. A. Noureldine, Salomon Cohen-Cohen, Avital Perry, Matthew L. Carlson, Colin L. W. Driscoll, Maria Peris-Celda, Jamie J. Van Gompel, Michael J. Link
    Journal of Neurological Surgery Part B: Skull Base.2023; 84(02): 119.     CrossRef
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    Surgery.2023; 173(2): 365.     CrossRef
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    Cancers.2023; 16(1): 167.     CrossRef
  • Expression of estrogen and progesterone receptors, HER2 protein and Ki-67 proliferation index in breast carcinoma in both tumor tissue and tissue microarray
    UP Hacısalihoğlu, MA Dogan
    Biotechnic & Histochemistry.2022; 97(4): 298.     CrossRef
  • Diffusive Ki67 and vimentin are associated with worse recurrence-free survival of upper tract urothelial carcinoma: A retrospective cohort study from bench to bedside
    Che Hsueh Yang, Wei Chun Weng, Yen Chuan Ou, Yi Sheng Lin, Li Hua Huang, Chin Heng Lu, Tang Yi Tsao, Chao Yu Hsu, Min Che Tung
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  • Should Ki-67 be adopted to select breast cancer patients for treatment with adjuvant abemaciclib?
    P. Tarantino, H.J. Burstein, N.U. Lin, I.E. Krop, E.P. Winer, S.J. Schnitt, E.P. Hamilton, S.A. Hurvitz, H.S. Rugo, G. Curigliano, S.M. Tolaney
    Annals of Oncology.2022; 33(3): 234.     CrossRef
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    Tojo Mathew, S. Niyas, C.I. Johnpaul, Jyoti R. Kini, Jeny Rajan
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    Matthias Choschzick, Mariam Alyahiaoui, Alexander Ciritsis, Cristina Rossi, André Gut, Patryk Hejduk, Andreas Boss
    Heliyon.2021; 7(7): e07577.     CrossRef
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    Clinical Breast Cancer.2020; 20(5): e600.     CrossRef
  • Study of Ki-67 index in the molecular subtypes of breast cancer: Inter-observer variability and automated scoring
    Divya Meermira, Meenakshi Swain, Swarnalata Gowrishankar
    Indian Journal of Cancer.2020; 57(3): 289.     CrossRef
  • Improving the accuracy of gastrointestinal neuroendocrine tumor grading with deep learning
    Darshana Govind, Kuang-Yu Jen, Karen Matsukuma, Guofeng Gao, Kristin A. Olson, Dorina Gui, Gregory. E. Wilding, Samuel P. Border, Pinaki Sarder
    Scientific Reports.2020;[Epub]     CrossRef
  • Practical approaches to automated digital image analysis of Ki-67 labeling index in 997 breast carcinomas and causes of discordance with visual assessment
    Ah-Young Kwon, Ha Young Park, Jiyeon Hyeon, Seok Jin Nam, Seok Won Kim, Jeong Eon Lee, Jong-Han Yu, Se Kyung Lee, Soo Youn Cho, Eun Yoon Cho, Irina V. Lebedeva
    PLOS ONE.2019; 14(2): e0212309.     CrossRef
  • Evaluation of Ki-67 Index in Core Needle Biopsies and Matched Breast Cancer Surgical Specimens
    Soomin Ahn, Junghye Lee, Min-Sun Cho, Sanghui Park, Sun Hee Sung
    Archives of Pathology & Laboratory Medicine.2018; 142(3): 364.     CrossRef
  • Assessment of Ki-67 for Predicting Effective Prognosis in Breast Cancer Subtypes
    Sangjung Park, Sunyoung Park, Jungho Kim, Sungwoo Ahn, Kwang Hwa Park, Hyeyoung Lee
    Biomedical Science Letters.2018; 24(1): 9.     CrossRef
  • Quantitative tumor heterogeneity assessment on a nuclear population basis
    Anne‐Sofie Wessel Lindberg, Knut Conradsen, Rasmus Larsen, Michael Friis Lippert, Rasmus Røge, Mogens Vyberg
    Cytometry Part A.2017; 91(6): 574.     CrossRef
  • A comparison of Ki-67 counting methods in luminal Breast Cancer: The Average Method vs. the Hot Spot Method
    Min Hye Jang, Hyun Jung Kim, Yul Ri Chung, Yangkyu Lee, So Yeon Park, William B. Coleman
    PLOS ONE.2017; 12(2): e0172031.     CrossRef
  • A Novel Breast Cancer Index for Prediction of Distant Recurrence in HR+ Early-Stage Breast Cancer with One to Three Positive Nodes
    Yi Zhang, Brock E. Schroeder, Piiha-Lotta Jerevall, Amy Ly, Hannah Nolan, Catherine A. Schnabel, Dennis C. Sgroi
    Clinical Cancer Research.2017; 23(23): 7217.     CrossRef
Early Colorectal Epithelial Neoplasm in Korea: A Multicenter Survey of Pathologic Diagnosis
Yun Kyung Kang, So-Young Jin, Mee Soo Chang, Jung Yeon Kim, Gyeong Hoon Kang, Hye Seung Lee, Jin Hee Sohn, Ho Sung Park, Kye Won Kwon, Mi Jin Gu, Young Hee Maeng, Jong Eun Joo, Haeng Ji Kang, Hee Kyung Kim, Kee-Taek Jang, Mi Ja Lee, Hee Kyung Chang, Joon Mee Kim, Hye Seung Han, Won Ae Lee, Yoon Jung Choi, Dong Wook Kang, Sunhoo Park, Jae Hyuk Lee, Mee-Yon Cho
Korean J Pathol. 2013;47(3):245-251.   Published online June 25, 2013
DOI: https://doi.org/10.4132/KoreanJPathol.2013.47.3.245
  • 9,157 View
  • 54 Download
  • 1 Crossref
AbstractAbstract PDF
Background

The incidence of early colorectal epithelial neoplasm (ECEN) is increasing, and its pathologic diagnosis is important for patient care. We investigated the incidence of ECEN and the current status of its pathologic diagnosis.

Methods

We collected datasheets from 25 institutes in Korea for the incidence of colorectal adenoma with high grade dysplasia (HGD) and low grade dysplasia in years 2005, 2007, and 2009; and early colorectal carcinoma in the year 2009. We also surveyed the diagnostic terminology of ECEN currently used by the participating pathologists.

Results

The average percentage of diagnoses of adenoma HGD was 7.0%, 5.0%, and 3.4% in years 2005, 2007, and 2009, respectively. The range of incidence rates of adenoma HGD across the participating institutes has gradually narrowed over the years 2005 to 2009. The incidence rate of early colorectal carcinoma in the year 2009 was 21.2%. The participants did not share a single criterion or terminology for the diagnosis of adenoma HGD. The majority accepted the diagnostic terms that distinguished noninvasive, mucosal confined, and submucosal invasive carcinoma.

Conclusions

Further research requirements suggested are a diagnostic consensus for the histopathologic diagnosis of ECEN; and standardization of diagnostic terminology critical for determining the disease code.

Citations

Citations to this article as recorded by  
  • Diminutive and Small Colorectal Polyps: The Pathologist's Perspective
    Yun Kyung Kang
    Clinical Endoscopy.2014; 47(5): 404.     CrossRef

J Pathol Transl Med : Journal of Pathology and Translational Medicine