Literature DB >> 22641492

Inter/intra-observer reproducibility of Gleason scoring in prostate adenocarcinoma in Iranian pathologists.

Alireza Abdollahi1, Alipasha Meysamie, Sara Sheikhbahaei, Ali Ahmadi, Hedieh Moradi-Tabriz, Mohammadreza Bakhshandeh, Hassan Hosseinzadeh.   

Abstract

PURPOSE: To measure the level of inter/intra-observer reproducibility among pathologists as far as Gleason scoring of adenocarcinoma of the prostate is concerned.
MATERIALS AND METHODS: A total of 101 prostate biopsy slides, diagnosed with adenocarcinoma of the prostate by five pathologists from different education centers, were exposed to Gleason scoring. Two months later, the slides were re-examined by three of the same pathologists. Thereafter, the kappa was calculated for the data provided in the first and second reports of each pathologist and compared between pathologists.
RESULTS: Inter-observer reproducibility was inappropriate, but intra-observer diagnostic reproducibility was almost perfect with a corresponding percentage of agreement of 85.2%.
CONCLUSION: The inter-observer reproducibility was poor.

Entities:  

Mesh:

Year:  2012        PMID: 22641492

Source DB:  PubMed          Journal:  Urol J        ISSN: 1735-1308            Impact factor:   1.510


  8 in total

1.  Histological features associated with diagnostic agreement in atypical ductal hyperplasia of the breast: illustrative cases from the B-Path study.

Authors:  Kimberly H Allison; Mara H Rendi; Sue Peacock; Tom Morgan; Joann G Elmore; Donald L Weaver
Journal:  Histopathology       Date:  2016-09-23       Impact factor: 5.087

2.  Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading.

Authors:  Ellery Wulczyn; Kunal Nagpal; Matthew Symonds; Melissa Moran; Markus Plass; Robert Reihs; Farah Nader; Fraser Tan; Yuannan Cai; Trissia Brown; Isabelle Flament-Auvigne; Mahul B Amin; Martin C Stumpe; Heimo Müller; Peter Regitnig; Andreas Holzinger; Greg S Corrado; Lily H Peng; Po-Hsuan Cameron Chen; David F Steiner; Kurt Zatloukal; Yun Liu; Craig H Mermel
Journal:  Commun Med (Lond)       Date:  2021-06-30

3.  Discriminatory Gleason grade group signatures of prostate cancer: An application of machine learning methods.

Authors:  Mpho Mokoatle; Darlington Mapiye; Vukosi Marivate; Vanessa M Hayes; Riana Bornman
Journal:  PLoS One       Date:  2022-06-09       Impact factor: 3.752

4.  Understanding diagnostic variability in breast pathology: lessons learned from an expert consensus review panel.

Authors:  Kimberly H Allison; Lisa M Reisch; Patricia A Carney; Donald L Weaver; Stuart J Schnitt; Frances P O'Malley; Berta M Geller; Joann G Elmore
Journal:  Histopathology       Date:  2014-04-02       Impact factor: 5.087

5.  Gleason’s Grading of Prostatic Adenocarcinoma: Inter-Observer Variation Among Seven Pathologists at a Tertiary Care Center in Oman

Authors:  Asim Qureshi; Ritu Lakhtakia; Maiya AL Bahri; Ibrahim Al Haddabi; Anna Saparamadu; Asem Shalaby; Marwa Al Riyami; Gauhar Rizvi
Journal:  Asian Pac J Cancer Prev       Date:  2016-11-01

6.  Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens.

Authors:  Kunal Nagpal; Davis Foote; Fraser Tan; Yun Liu; Po-Hsuan Cameron Chen; David F Steiner; Naren Manoj; Niels Olson; Jenny L Smith; Arash Mohtashamian; Brandon Peterson; Mahul B Amin; Andrew J Evans; Joan W Sweet; Carol Cheung; Theodorus van der Kwast; Ankur R Sangoi; Ming Zhou; Robert Allan; Peter A Humphrey; Jason D Hipp; Krishna Gadepalli; Greg S Corrado; Lily H Peng; Martin C Stumpe; Craig H Mermel
Journal:  JAMA Oncol       Date:  2020-09-01       Impact factor: 31.777

7.  Persistent Homology for the Quantitative Evaluation of Architectural Features in Prostate Cancer Histology.

Authors:  Peter Lawson; Andrew B Sholl; J Quincy Brown; Brittany Terese Fasy; Carola Wenk
Journal:  Sci Rep       Date:  2019-02-04       Impact factor: 4.379

8.  Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies.

Authors:  David F Steiner; Kunal Nagpal; Rory Sayres; Davis J Foote; Benjamin D Wedin; Adam Pearce; Carrie J Cai; Samantha R Winter; Matthew Symonds; Liron Yatziv; Andrei Kapishnikov; Trissia Brown; Isabelle Flament-Auvigne; Fraser Tan; Martin C Stumpe; Pan-Pan Jiang; Yun Liu; Po-Hsuan Cameron Chen; Greg S Corrado; Michael Terry; Craig H Mermel
Journal:  JAMA Netw Open       Date:  2020-11-02
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.