Literature DB >> 6465696

Interobserver and intraobserver differences in the diagnosis of urothelial cells. Comparison with classification by computer.

A B Sherman, L G Koss, S E Adams.   

Abstract

The diagnostic performance of six human observers with various degrees of experience was tested against the diagnosis developed by consensus and by an automated, computer-generated cell-classification system. The study was based on randomly selected photographs of 200 urothelial cells, classified in groups of 50 as negative, atypical, suspicious and malignant, from smears of urine sediment. The performance of the human observers was tested in three separate sessions at suitable time intervals and evaluated by two analytical statistical techniques: the weighted kappa proposed by Cohen, to evaluate the degree of disagreement, and the log-linear analysis of association. The results indicated considerable interobserver and intraobserver differences, which appeared to be more closely related to the individual's perception of the visual targets than to the degree of experience or the target itself. The performance of the programmed computer was well within the midrange of the human diagnostic performance. This study indicated that under the experimental circumstances described in this paper, the diagnostic perception of cell images is highly subjective. The study implies that similar differences may exist elsewhere in diagnostic microscopy and suggests that the development of objective approaches to the morphologic classification of human disease may prove to be of clinical value.

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Year:  1984        PMID: 6465696

Source DB:  PubMed          Journal:  Anal Quant Cytol        ISSN: 0190-0471


  7 in total

1.  Effect of contrast media on urinary cytopathology specimens.

Authors:  Sebastian Frees; Samir Bidnur; Michael Metcalfe; Peter Raven; Claudia Chavez-Munoz; Igor Moskalev; Ladan Fazli; Alan So
Journal:  Can Urol Assoc J       Date:  2016-08       Impact factor: 1.862

2.  Studies on urinary bladder carcinoma by morphometry, flow cytometry, and light microscopic malignancy grading with special reference to grade II tumours.

Authors:  K Helander; B Kirkhus; O H Iversen; S L Johansson; S Nilsson; S Vaage; H Fjordvang
Journal:  Virchows Arch A Pathol Anat Histopathol       Date:  1985

3.  Prognostic relevance of positive urine markers in patients with negative cystoscopy during surveillance of bladder cancer.

Authors:  Tilman Todenhöfer; Jörg Hennenlotter; Philipp Guttenberg; Sarah Mohrhardt; Ursula Kuehs; Michael Esser; Stefan Aufderklamm; Simone Bier; Niklas Harland; Steffen Rausch; Georgios Gakis; Arnulf Stenzl; Christian Schwentner
Journal:  BMC Cancer       Date:  2015-03-19       Impact factor: 4.430

4.  Urine cell-based DNA methylation classifier for monitoring bladder cancer.

Authors:  Antoine G van der Heijden; Lourdes Mengual; Mercedes Ingelmo-Torres; Juan J Lozano; Cindy C M van Rijt-van de Westerlo; Montserrat Baixauli; Bogdan Geavlete; Cristian Moldoveanud; Cosmin Ene; Colin P Dinney; Bogdan Czerniak; Jack A Schalken; Lambertus A L M Kiemeney; Maria J Ribal; J Alfred Witjes; Antonio Alcaraz
Journal:  Clin Epigenetics       Date:  2018-05-30       Impact factor: 6.551

5.  Validation of Urine-based Gene Classifiers for Detecting Bladder Cancer in a Chinese Study.

Authors:  Chengtao Han; Lourdes Mengual; Bin Kang; Juan José Lozano; Xiaoqun Yang; Cuizhu Zhang; Antonio Alcaraz; Ji Liang; Dingwei Ye
Journal:  J Cancer       Date:  2018-08-06       Impact factor: 4.207

6.  Epigenetic markers for bladder cancer in urine.

Authors:  Wun-Jae Kim; Yong-June Kim
Journal:  Transl Oncogenomics       Date:  2007-03-22

7.  The diagnostic accuracy of urine-based tests for bladder cancer varies greatly by patient.

Authors:  Ajay Gopalakrishna; Thomas A Longo; Joseph J Fantony; Richmond Owusu; Wen-Chi Foo; Rajesh Dash; Brant A Inman
Journal:  BMC Urol       Date:  2016-06-13       Impact factor: 2.264

  7 in total

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