Literature DB >> 1807780

Understanding differential diagnostic disagreement in pathology.

A M van Ginneken1, J van der Lei.   

Abstract

The Diagnostic Encyclopedia Workstation (DEW) was developed to support pathologists in diagnosing ovarian tumors. In this evaluation study, we had pathologists at several levels of experience diagnose a number of cases using either books or the DEW. In the context of this study, we needed a standard by which to measure performance of these pathologists. We, therefore, had experts enumerate for each test case the diagnoses they considered morphologically similar. To our surprise, the resulting lists of the experts varied considerably. The differential diagnosis of a disease based on its morphological characteristics, however, constitutes important reference knowledge in solving diagnostic problems. The question rose why the experts differed so much in their differential diagnostic knowledge. The ontogeny of a pathologist's personal knowledge is discussed and used to derive a model that can explain the limited consensus in differential diagnosis. The model helps to identify factors that may cause pathologists to diverge and others that may cause them to converge with respect to their knowledge. Strategies are proposed that are useful in achieving a better (differential) diagnostic consensus.

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Mesh:

Year:  1991        PMID: 1807780      PMCID: PMC2247503     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  7 in total

1.  Design of the diagnostic encyclopedia workstation (DEW).

Authors:  A M van Ginneken; A W Smeulders; W Jansen; J P Baak; I Brooymans
Journal:  Comput Biol Med       Date:  1990       Impact factor: 4.589

2.  A method for the acquisition of formalized knowledge in pathology.

Authors:  A M van Ginneken; W Jansen; A W Smeulders; J van der Lei; J P Baak
Journal:  Methods Inf Med       Date:  1990-07       Impact factor: 2.176

3.  How does a pathologist make a diagnosis?

Authors:  L S King
Journal:  Arch Pathol       Date:  1967-10

4.  Can histopathologists reliably assess dysplasia in chronic inflammatory bowel disease?

Authors:  S A Dundas; R Kay; S Beck; D W Cotton; A J Coup; D N Slater; J C Underwood
Journal:  J Clin Pathol       Date:  1987-11       Impact factor: 3.411

5.  The medical problem solving process.

Authors:  D P Connelly; P E Johnson
Journal:  Hum Pathol       Date:  1980-09       Impact factor: 3.466

6.  Evaluation of a Diagnostic Encyclopedia Workstation for ovarian pathology.

Authors:  A M van Ginneken; J P Baak; W Jansen; A W Smeulders
Journal:  Hum Pathol       Date:  1990-10       Impact factor: 3.466

7.  Evaluation of the reproducibility of the World Health Organization classification of common ovarian cancers. With emphasis on methodology.

Authors:  S F Cramer; L M Roth; T M Ulbright; M T Mazur; C A Nunez; D J Gersell; S E Mills; F T Kraus
Journal:  Arch Pathol Lab Med       Date:  1987-09       Impact factor: 5.534

  7 in total
  5 in total

Review 1.  Are normative expert systems appropriate for diagnostic pathology?

Authors:  L W Diamond; V G Mishka; A H Seal; D T Nguyen
Journal:  J Am Med Inform Assoc       Date:  1995 Mar-Apr       Impact factor: 4.497

Review 2.  Medical diagnostic decision support systems--past, present, and future: a threaded bibliography and brief commentary.

Authors:  R A Miller
Journal:  J Am Med Inform Assoc       Date:  1994 Jan-Feb       Impact factor: 4.497

3.  Diagnostic Value of MAML2 Rearrangements in Mucoepidermoid Carcinoma.

Authors:  Julia C Thierauf; Alex A Farahani; B Iciar Indave; Adam Z Bard; Valerie A White; Cameron R Smith; Hetal Marble; Martin D Hyrcza; John K C Chan; Justin Bishop; Qiuying Shi; Kim Ely; Abbas Agaimy; Maria Martinez-Lage; Vania Nose; Miguel Rivera; Valentina Nardi; Dora Dias-Santagata; Salil Garg; Peter Sadow; Long P Le; William Faquin; Lauren L Ritterhouse; Ian A Cree; A John Iafrate; Jochen K Lennerz
Journal:  Int J Mol Sci       Date:  2022-04-13       Impact factor: 6.208

4.  Development of visual diagnostic expertise in pathology -- an information-processing study.

Authors:  Rebecca S Crowley; Gregory J Naus; Jimmie Stewart; Charles P Friedman
Journal:  J Am Med Inform Assoc       Date:  2003 Jan-Feb       Impact factor: 4.497

5.  Predicting Diagnosis of Australian Canine and Feline Urinary Bladder Disease Based on Histologic Features.

Authors:  Emily Jones; John Alawneh; Mary Thompson; Chiara Palmieri; Karen Jackson; Rachel Allavena
Journal:  Vet Sci       Date:  2020-11-27
  5 in total

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