Literature DB >> 26072124

Comparison of Three Ki-67 Index Quantification Methods and Clinical Significance in Pancreatic Neuroendocrine Tumors.

Trynda N Kroneman1, Jesse S Voss, Christine M Lohse, Tsung-Teh Wu, Thomas C Smyrk, Lizhi Zhang.   

Abstract

The Ki-67 index is essential in the pathological reports for pancreatic neuroendocrine tumors. There are three methods to determine the Ki-67 index including eyeball estimation, manual counting, or automated digital imaging analysis. The goal of this study was to compare the three quantification methods with the clinical outcome to determine the best method for clinical practice. Ki-67 immunostaining was performed on 97 resected pancreatic neuroendocrine tumors. The three methods of quantification were employed: (1) an average of eyeball estimation by three pathologists; (2) manual counting of at least 500 tumor cells; and (3) digital imaging analysis quantitation by selecting 8-10 hot spot regions. All tumors were graded according to the 2010 WHO grading system. The three quantification methods for the Ki-67 index had almost perfect agreement. The concordance between manual counting and digital imaging analysis and between manual counting and average eyeball estimation were 0.97 and 0.88, respectively. The concordance among the three pathologists' eyeball estimation was 0.86. All three methods correlated with patients' survival using the 2010 WHO grading system. Eyeball estimation scores were significantly less than those of the other two methods and tended to downgrade more tumors to grade 1, but they had higher predictive ability for survival and recurrence. The WHO system using the mitotic rate could also separate patients with different survival and even downgraded more tumors to grade 1. The results suggest the necessity of a consensus among pathologists for the method to determine the Ki-67 index and proper cutoff of the Ki-67 index for better clinical correlation.

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Year:  2015        PMID: 26072124     DOI: 10.1007/s12022-015-9379-2

Source DB:  PubMed          Journal:  Endocr Pathol        ISSN: 1046-3976            Impact factor:   3.943


  35 in total

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Journal:  Diagn Pathol       Date:  2013-04-22       Impact factor: 2.644

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1.  Outcomes of Pancreaticoduodenectomy for Pancreatic Neuroendocrine Tumors: Are Combined Procedures Justified?

Authors:  Cornelius A Thiels; John R Bergquist; Danuel V Laan; Kristopher P Croome; Rory L Smoot; David M Nagorney; Geoffrey B Thompson; Michael L Kendrick; Michael B Farnell; Mark J Truty
Journal:  J Gastrointest Surg       Date:  2016-02-29       Impact factor: 3.452

2.  Ki-67 Proliferation Index Assessment in Gastroenteropancreatic Neuroendocrine Tumors by Digital Image Analysis With Stringent Case and Hotspot Level Concordance Requirements.

Authors:  Sarag A Boukhar; Matthew D Gosse; Andrew M Bellizzi; Anand Rajan K D
Journal:  Am J Clin Pathol       Date:  2021-09-08       Impact factor: 2.493

3.  Automated assessment of Ki-67 proliferation index in neuroendocrine tumors by deep learning.

Authors:  Tiina Vesterinen; Jenni Säilä; Sami Blom; Mirkka Pennanen; Helena Leijon; Johanna Arola
Journal:  APMIS       Date:  2021-11-22       Impact factor: 3.428

4.  Synaptophysin-Ki67 double stain: a novel technique that improves interobserver agreement in the grading of well-differentiated gastrointestinal neuroendocrine tumors.

Authors:  Karen Matsukuma; Kristin A Olson; Dorina Gui; Regina Gandour-Edwards; Yueju Li; Laurel Beckett
Journal:  Mod Pathol       Date:  2017-01-13       Impact factor: 7.842

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Authors:  Elise R Venable; Sarah E Kerr; M Beatriz S Lopes; Karra A Jones; Andrew M Bellizzi; Taofic Mounajjed; Aditya Raghunathan; Oksana Hamidi; Thorvardur R Halfdanarson; Mabel Ryder; Rondell P Graham
Journal:  Diagn Pathol       Date:  2020-07-04       Impact factor: 2.644

6.  Three-dimensional imaging and quantitative analysis in CLARITY processed breast cancer tissues.

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Journal:  Sci Rep       Date:  2019-04-04       Impact factor: 4.379

Review 7.  Ki-67 assessment of pancreatic neuroendocrine neoplasms: Systematic review and meta-analysis of manual vs. digital pathology scoring.

Authors:  Claudio Luchini; Liron Pantanowitz; Volkan Adsay; Sylvia L Asa; Pietro Antonini; Ilaria Girolami; Nicola Veronese; Alessia Nottegar; Sara Cingarlini; Luca Landoni; Lodewijk A Brosens; Anna V Verschuur; Paola Mattiolo; Antonio Pea; Andrea Mafficini; Michele Milella; Muhammad K Niazi; Metin N Gurcan; Albino Eccher; Ian A Cree; Aldo Scarpa
Journal:  Mod Pathol       Date:  2022-03-05       Impact factor: 8.209

8.  Development of a reliable and accurate algorithm to quantify the tumor immune stroma (QTiS) across tumor types.

Authors:  Rainer Christoph Miksch; Jingcheng Hao; Markus Bo Schoenberg; Katharina Dötzer; Friederike Schlüter; Maximilian Weniger; Shuai Yin; Steffen Ormanns; Jan Goesta D'Haese; Markus Otto Guba; Jens Werner; Barbara Mayer; Alexandr V Bazhin
Journal:  Oncotarget       Date:  2017-12-04

9.  Digital Image Analysis of the Proliferation Markers Ki67 and Phosphohistone H3 in Gastroenteropancreatic Neuroendocrine Neoplasms: Accuracy of Grading Compared With Routine Manual Hot Spot Evaluation of the Ki67 Index.

Authors:  Dordi Lea; Einar G Gudlaugsson; Ivar Skaland; Melinda Lillesand; Kjetil Søreide; Jon A Søreide
Journal:  Appl Immunohistochem Mol Morphol       Date:  2021-08-01
  9 in total

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