Literature DB >> 25987467

A default normal chest CT structured reporting field for coronary calcifications does not cause excessive false-negative reporting.

William R Walter1, Shlomit Goldberg-Stein2, Jeffrey M Levsky2, Hillel W Cohen3, Meir H Scheinfeld4.   

Abstract

PURPOSE: The aim of this study was to compare the accuracy of coronary atherosclerosis reporting before and after the implementation of a structured reporting chest CT template.
METHODS: A noncardiac, noncontrast chest CT structured reporting template was developed and mandated for department-wide use at a large academic center. The template included the statement "There are no coronary artery calcifications." All noncardiac, noncontrast chest CT examinations reported over 3 days, 1 month after template implementation (structured template group), and from a 3-day period 1 year prior (control group) were retrospectively collected. Final radiology reports were reviewed and designated positive or negative for coronary calcifications. CT images were reviewed in consensus by 2 radiologists, who scored each case for the presence or absence of coronary calcifications, blinded to the original report. Statistical analysis was performed using Pearson χ(2) and Fisher exact tests.
RESULTS: Sixty-five percent (69 of 106) of structured template group and 58% (62 of 106) of control group cases had coronary calcifications. Reports from the structured template group were more likely to correctly state the presence or absence of coronary atherosclerosis compared with those from the control group (96.2% vs 85.8%; odds ratio, 4.2; 95% confidence interval, 1.3-13.1; P = .008). Structured template group reports were less likely to be falsely negative compared with control group reports (3.8% vs 11.7%; odds ratio, 3.4; 95% confidence interval, 1.0-10.8; P = .03).
CONCLUSIONS: Implementing a structured reporting template improves reporting accuracy of coronary calcifications.
Copyright © 2015 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Structured reporting; coronary calcifications; report quality

Mesh:

Year:  2015        PMID: 25987467      PMCID: PMC4529794          DOI: 10.1016/j.jacr.2015.03.011

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  12 in total

1.  Improving communication of diagnostic radiology findings through structured reporting.

Authors:  Lawrence H Schwartz; David M Panicek; Alexandra R Berk; Yuelin Li; Hedvig Hricak
Journal:  Radiology       Date:  2011-04-25       Impact factor: 11.105

2.  Prepopulated radiology report templates: a prospective analysis of error rate and turnaround time.

Authors:  C M Hawkins; S Hall; J Hardin; S Salisbury; A J Towbin
Journal:  J Digit Imaging       Date:  2012-08       Impact factor: 4.056

3.  Radiology report clarity: a cohort study of structured reporting compared with conventional dictation.

Authors:  Annette J Johnson; Michael Y M Chen; Michael E Zapadka; Eric M Lyders; Benjamin Littenberg
Journal:  J Am Coll Radiol       Date:  2010-07       Impact factor: 5.532

4.  Voice recognition technology for radiology reporting: transforming the radiologist's value proposition.

Authors:  Giles W L Boland
Journal:  J Am Coll Radiol       Date:  2007-12       Impact factor: 5.532

Review 5.  Validation and prognosis of coronary artery calcium scoring in nontriggered thoracic computed tomography: systematic review and meta-analysis.

Authors:  Xueqian Xie; Yingru Zhao; Geertruida H de Bock; Pim A de Jong; Willem P Mali; Matthijs Oudkerk; Rozemarijn Vliegenthart
Journal:  Circ Cardiovasc Imaging       Date:  2013-06-11       Impact factor: 7.792

6.  Improving consistency in radiology reporting through the use of department-wide standardized structured reporting.

Authors:  David B Larson; Alex J Towbin; Rebecca M Pryor; Lane F Donnelly
Journal:  Radiology       Date:  2013-01-17       Impact factor: 11.105

7.  Creation and implementation of department-wide structured reports: an analysis of the impact on error rate in radiology reports.

Authors:  C Matthew Hawkins; Seth Hall; Bin Zhang; Alexander J Towbin
Journal:  J Digit Imaging       Date:  2014-10       Impact factor: 4.056

8.  Incidental imaging findings from routine chest CT used to identify subjects at high risk of future cardiovascular events.

Authors:  Pushpa M Jairam; Martijn J A Gondrie; Diederick E Grobbee; Willem P Th M Mali; Peter C A Jacobs; Yolanda van der Graaf
Journal:  Radiology       Date:  2014-05-27       Impact factor: 11.105

9.  Comparison of novel risk markers for improvement in cardiovascular risk assessment in intermediate-risk individuals.

Authors:  Joseph Yeboah; Robyn L McClelland; Tamar S Polonsky; Gregory L Burke; Christopher T Sibley; Daniel O'Leary; Jeffery J Carr; David C Goff; Philip Greenland; David M Herrington
Journal:  JAMA       Date:  2012-08-22       Impact factor: 56.272

10.  Frequency of unrecognized, unreported, or underreported coronary artery and cardiovascular calcification on noncardiac chest CT.

Authors:  Kim Allan Williams; James T Kim; Kathleen M Holohan
Journal:  J Cardiovasc Comput Tomogr       Date:  2013-05-31
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  1 in total

Review 1.  Structured reporting in radiology: a systematic review to explore its potential.

Authors:  J Martijn Nobel; Koos van Geel; Simon G F Robben
Journal:  Eur Radiol       Date:  2021-10-15       Impact factor: 7.034

  1 in total

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