Literature DB >> 1157530

Disagreements in chest roentgen interpretation.

P G Herman, D E Gerson, S J Hessel, B S Mayer, M Watnick, B Blesser, D Ozonoff.   

Abstract

Each of 100 chest radiographs selected randomly from a hospital population were read by five experienced radiologists. The films were rich in abnormal findings. Disagreement analysis was performed considering the entire content of the interpretation. The disagreements were graded by a panel as to type (false negative, false positive, and indeterminate) and significance. The overall repeatability of the panel's performance was 75 percent. Forty-one percent of the reports contained potentially significant errors and 56 percent indeterminate disagreements. Among all errors 78 percent were false negatives and 22 percent were false positives. The error rate varied among readers. An average of 25 percent of important findings were omitted by an individual reader. An association between specific abnormalities and the types of disagreement was found.

Mesh:

Year:  1975        PMID: 1157530     DOI: 10.1378/chest.68.3.278

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  12 in total

1.  Automatic detection of acute bacterial pneumonia from chest X-ray reports.

Authors:  M Fiszman; W W Chapman; D Aronsky; R S Evans; P J Haug
Journal:  J Am Med Inform Assoc       Date:  2000 Nov-Dec       Impact factor: 4.497

2.  Chest radiographs in the emergency department: is the radiologist really necessary?

Authors:  M E Gatt; G Spectre; O Paltiel; N Hiller; R Stalnikowicz
Journal:  Postgrad Med J       Date:  2003-04       Impact factor: 2.401

3.  Integrating Radiology and Hospital Information Systems: the advantage of shared data.

Authors:  P J Haug; T A Pryor; P R Frederick
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1992

4.  Quality control in neuroradiology: discrepancies in image interpretation among academic neuroradiologists.

Authors:  L S Babiarz; D M Yousem
Journal:  AJNR Am J Neuroradiol       Date:  2011-10-27       Impact factor: 3.825

5.  Automated selection of clinical data to support radiographic interpretation.

Authors:  P Haug; D Beesley
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1991

6.  Application of artificial neural networks for quantitative analysis of image data in chest radiographs for detection of interstitial lung disease.

Authors:  T Ishida; S Katsuragawa; K Ashizawa; H MacMahon; K Doi
Journal:  J Digit Imaging       Date:  1998-11       Impact factor: 4.056

7.  Developing a radiology data base for quality assurance.

Authors:  P J Haug; M Farrell; J Frear; D Blatter; P R Frederick
Journal:  J Digit Imaging       Date:  1997-08       Impact factor: 4.056

8.  Agreement between emergency physician diagnosis and radiologist reports in patients discharged from an emergency department with community-acquired pneumonia.

Authors:  Samuel G Campbell; Daphne D Murray; Ammar Hawass; David Urquhart; Stacy Ackroyd-Stolarz; David Maxwell
Journal:  Emerg Radiol       Date:  2005-06

9.  Uses of diagnostic expert systems in clinical care.

Authors:  P J Haug
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1993

10.  Interobserver agreement in the interpretation of outpatient head CT scans in an academic neuroradiology practice.

Authors:  G Guérin; S Jamali; C A Soto; F Guilbert; J Raymond
Journal:  AJNR Am J Neuroradiol       Date:  2014-07-24       Impact factor: 3.825

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