Evaluating the Impact of a Ki-67 Decision Support Algorithm on Pathology Residents’ Scoring Accuracy

Sun X, Kaufman PD. Ki-67: more than a proliferation marker. Chromosoma 2018;127:175. https://doi.org/10.1007/S00412-018-0659-8.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Pathmanathan N, Balleine RL. Ki67 and proliferation in breast cancer. J Clin Pathol 2013;66:512–6. https://doi.org/10.1136/jclinpath-2012-201085.

Article  CAS  PubMed  Google Scholar 

De Azambuja E, Cardoso F, De Castro G, Colozza M, Mano MS, Durbecq V, et al. Ki-67 as prognostic marker in early breast cancer: a meta-analysis of published studies involving 12,155 patients. Br J Cancer 2007;96:1504–13. https://doi.org/10.1038/SJ.BJC.6603756.

Article  PubMed  PubMed Central  Google Scholar 

Yerushalmi R, Woods R, Ravdin PM, Hayes MM, Gelmon KA. Ki67 in breast cancer: prognostic and predictive potential. Lancet Oncol 2010;11:174–83. https://doi.org/10.1016/S1470-2045(09)70262-1.

Article  CAS  PubMed  Google Scholar 

Rashmi Kumar N, Schonfeld R, Gradishar WJ, Lurie RH, Moran MS, Abraham J, et al. NCCN Guidelines Version 1.2025 Breast Cancer. 2025.

Dowsett M, Nielsen TO, A’Hern R, Bartlett J, Coombes RC, Cuzick J, et al. Assessment of Ki67 in breast cancer: recommendations from the International Ki67 in Breast Cancer working group. J Natl Cancer Inst 2011;103:1656–64. https://doi.org/10.1093/JNCI/DJR393.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Li L, Han D, Yu Y, Li J, Liu Y. Artificial intelligence-assisted interpretation of Ki-67 expression and repeatability in breast cancer. Diagn Pathol 2022;17. https://doi.org/10.1186/S13000-022-01196-6.

Pathology Visions 2023 Overview. J Pathol Inform 2024:100362. https://doi.org/10.1016/j.jpi.2024.100362

Acs B, Pelekanou V, Bai Y, Martinez-Morilla S, Toki M, Leung SCY, et al. Ki67 reproducibility using digital image analysis: an inter-platform and inter-operator study. Lab Invest 2019;99:107–17. https://doi.org/10.1038/S41374-018-0123-7.

Article  CAS  PubMed  Google Scholar 

Rimm DL, Leung SCY, McShane LM, Bai Y, Bane AL, Bartlett JMS, et al. An international multicenter study to evaluate reproducibility of automated scoring for assessment of Ki67 in breast cancer. Mod Pathol 2019;32:59–69. https://doi.org/10.1038/S41379-018-0109-4.

Article  CAS  PubMed  Google Scholar 

Abele N, Tiemann K, Krech T, Wellmann A, Schaaf C, Länger F, et al. Noninferiority of Artificial Intelligence–Assisted Analysis of Ki-67 and Estrogen/Progesterone Receptor in Breast Cancer Routine Diagnostics. Modern Pathology 2023;36:100033. https://doi.org/10.1016/J.MODPAT.2022.100033.

Article  CAS  PubMed  Google Scholar 

Cai L, Yan K, Bu H, Yue M, Dong P, Wang X, et al. Improving Ki67 assessment concordance by the use of an artificial intelligence-empowered microscope: a multi-institutional ring study. Histopathology 2021;79:544–55. https://doi.org/10.1111/HIS.14383.

Article  PubMed  Google Scholar 

Bodén ACS, Molin J, Garvin S, West RA, Lundström C, Treanor D. The human-in-the-loop: an evaluation of pathologists’ interaction with artificial intelligence in clinical practice. Histopathology 2021;79:210–8. https://doi.org/10.1111/HIS.14356.

Article  PubMed  Google Scholar 

Dy A, Nguyen N-NJ, Meyer J, Dawe M, Shi W, Androutsos D, et al. AI improves accuracy, agreement and efficiency of pathologists for Ki67 assessments in breast cancer. Sci Rep 2024;14:1283. https://doi.org/10.1038/s41598-024-51723-2.

Nielsen TO, Leung SCY, Rimm DL, Dodson A, Acs B, Badve S, et al. Assessment of Ki67 in Breast Cancer: Updated Recommendations From the International Ki67 in Breast Cancer Working Group. J Natl Cancer Inst 2021;113:808–19. https://doi.org/10.1093/JNCI/DJAA201.

Article  PubMed  Google Scholar 

Tversky A, Kahneman D. Judgment under Uncertainty: Heuristics and Biases. Science 1974;185:1124–31. https://doi.org/10.1126/SCIENCE.185.4157.1124.

Article  CAS  PubMed  Google Scholar 

Patel VL, Arocha JF, Kaufman DR. A Primer on Aspects of Cognition for Medical Informatics. J Am Med Inform Assoc 2001;8:324. https://doi.org/10.1136/JAMIA.2001.0080324.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Goddard K, Roudsari A, Wyatt JC. Automation bias: a systematic review of frequency, effect mediators, and mitigators. J Am Med Inform Assoc 2012;19:121–7. https://doi.org/10.1136/AMIAJNL-2011-000089.

Article  PubMed  Google Scholar 

Langer M, Landers RN. The future of artificial intelligence at work: A review on effects of decision automation and augmentation on workers targeted by algorithms and third-party observers. Comput Human Behav 2021;123:106878. https://doi.org/10.1016/J.CHB.2021.106878.

Article  Google Scholar 

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