Literature DB >> 19123724

How does a pathologist make a diagnosis?

Gil Patrus Pena1, José de Souza Andrade-Filho.   

Abstract

A pathologic diagnosis is the result of a complex series of activities, mastered by the pathologist. The nature of these activities is, however, rarely talked about in depth. The medical literature occasionally discusses aspects of the pathologic diagnosis processes, generally departing from the pathologic practice. The lack of a model makes discussions about the subject a matter of preference or personal style. Educational programs are largely based on the apprenticeship model, and the development of specific abilities rests on the personal aspects of both apprentice and mentor. A model for the pathologic diagnostic process is proposed. The process of diagnosis can be viewed as an action plan, encompassing 4 domains: (1) cognitive, (2) communicative, (3) normative, and (4) medical conduct. The cognitive domain involves processes of perception, attention, memory, search, hypothesis creation, and verification, among others. Communicative skills consist of providing arguments in support of a diagnostic conclusion, with adequate clinical and relevant pathologic information. Pathologic diagnosis is also subject to technical rules (based on empirical experiences), rules of rational choice (strategies aiming at definite goals), and consensual rules among peers. Finally, the pathologic diagnosis has to be evaluated in the sphere of medical conduct, from the perspectives of both the pathologist and the referring clinician. An understanding of the diagnostic process from a theoretic perspective will benefit pathology as a science and a medical specialty because it provides the basis for understanding diagnostic variations and discrepancies. Pathologic difficulties or errors can be mapped, allowing the institution of specific remedies. This model may also enhance training and educational strategies because specific emphasis can be directed toward a particular difficulty.

Mesh:

Year:  2009        PMID: 19123724     DOI: 10.5858/133.1.124

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  11 in total

1.  Pachydermia verrucosa…of the (very) bad kind!

Authors:  Gil Patrus Pena; José de Souza Andrade-Filho
Journal:  Virchows Arch       Date:  2011-07-06       Impact factor: 4.064

Review 2.  Deep Learning on Histopathological Images for Colorectal Cancer Diagnosis: A Systematic Review.

Authors:  Athena Davri; Effrosyni Birbas; Theofilos Kanavos; Georgios Ntritsos; Nikolaos Giannakeas; Alexandros T Tzallas; Anna Batistatou
Journal:  Diagnostics (Basel)       Date:  2022-03-29

3.  A multicenter study directly comparing the diagnostic accuracy of gene expression profiling and immunohistochemistry for primary site identification in metastatic tumors.

Authors:  Charles R Handorf; Anand Kulkarni; James P Grenert; Lawrence M Weiss; William M Rogers; Oliver S Kim; Federico A Monzon; Meredith Halks-Miller; Glenda G Anderson; Michael G Walker; Raji Pillai; W David Henner
Journal:  Am J Surg Pathol       Date:  2013-07       Impact factor: 6.394

4.  A supervised visual model for finding regions of interest in basal cell carcinoma images.

Authors:  Ricardo Gutiérrez; Francisco Gómez; Lucía Roa-Peña; Eduardo Romero
Journal:  Diagn Pathol       Date:  2011-03-29       Impact factor: 2.644

5.  An experimental study of pathologist's navigation patterns in virtual microscopy.

Authors:  Lucia Roa-Peña; Francisco Gómez; Eduardo Romero
Journal:  Diagn Pathol       Date:  2010-11-18       Impact factor: 2.644

6.  Learning regions of interest from low level maps in virtual microscopy.

Authors:  David Romo; Eduardo Romero; Fabio González
Journal:  Diagn Pathol       Date:  2011-03-30       Impact factor: 2.644

7.  A pathologist-in-the-loop IHC antibody test selection using the entropy-based probabilistic method.

Authors:  Dmitriy Shin; Gerald Arthur; Charles Caldwell; Mihail Popescu; Marius Petruc; Alberto Diaz-Arias; Chi-Ren Shyu
Journal:  J Pathol Inform       Date:  2012-02-29

8.  Comparison of histopathology to gene expression profiling for the diagnosis of metastatic cancer.

Authors:  Anand Kulkarni; Raji Pillai; Ashley M Ezekiel; W David Henner; Charles R Handorf
Journal:  Diagn Pathol       Date:  2012-08-21       Impact factor: 2.644

9.  Learning-Based Visual Saliency Model for Detecting Diabetic Macular Edema in Retinal Image.

Authors:  Xiaochun Zou; Xinbo Zhao; Yongjia Yang; Na Li
Journal:  Comput Intell Neurosci       Date:  2016-01-14

10.  The Effect of Mental Rotation on Surgical Pathological Diagnosis.

Authors:  Heejung Park; Hyun Soo Kim; Yoon Jin Cha; Junjeong Choi; Yangki Minn; Kyung Sik Kim; Se Hoon Kim
Journal:  Yonsei Med J       Date:  2018-05       Impact factor: 2.759

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