Literature DB >> 30367334

Comparison of Monitor-Image and Printout-Image Methods in Ki-67 Scoring of Gastroenteropancreatic Neuroendocrine Tumors.

Fatih Mert Dogukan1, Banu Yilmaz Ozguven2, Rabia Dogukan3, Fevziye Kabukcuoglu2.   

Abstract

Gastroenteropancreatic neuroendocrine tumors (GEP-NET) are classified according to tumor grade. Ki-67 and mitotic count are the two determinants of this classification. Therefore, Ki-67 scoring becomes very important in classifying the patients accurately. Eye-balling, counting of cells through the microscope, automated image analysis systems, and manual counting of printed image are the four major scoring methods in use. The aim of this study is to show the agreement between monitor-image method (MIM) and printout-image method (PIM) of Ki-67 scoring. In our study, 120 GEP-NETs from 85 patients diagnosed between January 2005 and July 2017 were evaluated. Thirty-seven cases with either polypectomy or resection material were selected. Seven different scoring methods using either a monitor-image or a printout-image were applied for Ki-67 scoring. They are as follows: whole-PIM, 1/9-PIM, whole-MIM, 1/4-MIM, 1/6-MIM, 1/9-MIM, and 1/12-MIM. In the comparison of Ki-67 scoring methods, intraclass correlation coefficients ranging from 0.951 to 0.999 were found. The Bland-Altman analysis showed near-perfect agreement between whole-MIM and whole-PIM as well as 1/9-MIM and 1/9-PIM. The level of agreements among the other methods were sufficient too, but there was a relative decrease in the level of agreement as the area of counting becomes smaller. The average application time decreased from 373.7 to 41.7 s gradually as the scoring area becomes smaller. Our study shows that there is a remarkable agreement between the MIM and PIM used in Ki-67 scoring.

Entities:  

Keywords:  Gastrointestinal neoplasms; Ki-67; Neuroendocrine tumors; Pancreatic neoplasms; Tumor grading

Mesh:

Substances:

Year:  2019        PMID: 30367334     DOI: 10.1007/s12022-018-9554-3

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


  10 in total

1.  The ENETS and AJCC/UICC TNM classifications of the neuroendocrine tumors of the gastrointestinal tract and the pancreas: a statement.

Authors:  Günter Klöppel; Guido Rindi; Aurel Perren; Paul Komminoth; David S Klimstra
Journal:  Virchows Arch       Date:  2010-04-27       Impact factor: 4.064

2.  Ki67 labeling index in neuroendocrine tumors of the gastrointestinal and pancreatobiliary tract: to count or not to count is not the question, but rather how to count.

Authors:  Volkan Adsay
Journal:  Am J Surg Pathol       Date:  2012-12       Impact factor: 6.394

3.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

4.  Objective quantification of the Ki67 proliferative index in neuroendocrine tumors of the gastroenteropancreatic system: a comparison of digital image analysis with manual methods.

Authors:  Laura H Tang; Mithat Gonen; Cyrus Hedvat; Irvin M Modlin; David S Klimstra
Journal:  Am J Surg Pathol       Date:  2012-12       Impact factor: 6.394

5.  Validation of a Cytotechnologist Manual Counting Service for the Ki67 Index in Neuroendocrine Tumors of the Pancreas and Gastrointestinal Tract.

Authors:  Jennielee Cottenden; Emily R Filter; Jon Cottreau; David Moore; Martin Bullock; Weei-Yuarn Huang; Thomas Arnason
Journal:  Arch Pathol Lab Med       Date:  2018-01-02       Impact factor: 5.534

6.  Grading of neuroendocrine tumors with Ki-67 requires high-quality assessment practices.

Authors:  Satu Maria Remes; Vilppu J Tuominen; Heikki Helin; Jorma Isola; Johanna Arola
Journal:  Am J Surg Pathol       Date:  2012-09       Impact factor: 6.394

7.  Calculation of the Ki67 index in pancreatic neuroendocrine tumors: a comparative analysis of four counting methodologies.

Authors:  Michelle D Reid; Pelin Bagci; Nobuyuki Ohike; Burcu Saka; Ipek Erbarut Seven; Nevra Dursun; Serdar Balci; Hasan Gucer; Kee-Taek Jang; Takuma Tajiri; Olca Basturk; So Yeon Kong; Michael Goodman; Gizem Akkas; Volkan Adsay
Journal:  Mod Pathol       Date:  2014-11-21       Impact factor: 7.842

8.  Ki67 Scoring in Pancreatic Neuroendocrine Tumors By a New Method.

Authors:  Şule Öztürk Sari; Orhun Çiğ Taşkin; Gülçin Yegen; Yasemin Özlük; Mine Güllüoğlu
Journal:  Appl Immunohistochem Mol Morphol       Date:  2018-04

9.  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

10.  A common classification framework for neuroendocrine neoplasms: an International Agency for Research on Cancer (IARC) and World Health Organization (WHO) expert consensus proposal.

Authors:  Guido Rindi; David S Klimstra; Behnoush Abedi-Ardekani; Sylvia L Asa; Frederik T Bosman; Elisabeth Brambilla; Klaus J Busam; Ronald R de Krijger; Manfred Dietel; Adel K El-Naggar; Lynnette Fernandez-Cuesta; Günter Klöppel; W Glenn McCluggage; Holger Moch; Hiroko Ohgaki; Emad A Rakha; Nicholas S Reed; Brian A Rous; Hironobu Sasano; Aldo Scarpa; Jean-Yves Scoazec; William D Travis; Giovanni Tallini; Jacqueline Trouillas; J Han van Krieken; Ian A Cree
Journal:  Mod Pathol       Date:  2018-08-23       Impact factor: 7.842

  10 in total
  4 in total

1.  From Counting Mitoses to Ki67 Assessment: Technical Pitfalls in the New WHO Classification of Endocrine and Neuroendocrine Tumors.

Authors:  Ian A Cree
Journal:  Endocr Pathol       Date:  2022-01-13       Impact factor: 3.943

Review 2.  Update from the 5th Edition of the World Health Organization Classification of Head and Neck Tumors: Overview of the 2022 WHO Classification of Head and Neck Neuroendocrine Neoplasms.

Authors:  Ozgur Mete; Bruce M Wenig
Journal:  Head Neck Pathol       Date:  2022-03-21

3.  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

4.  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 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.