Literature DB >> 22733922

Is confidence of mammographic assessment a good predictor of accuracy?

Berta M Geller1, Andy Bogart, Patricia A Carney, Joann G Elmore, Barbara S Monsees, Diana L Miglioretti.   

Abstract

OBJECTIVE: Interpretive accuracy varies among radiologists, especially in mammography. This study examines the relationship between radiologists' confidence in their assessments and their accuracy in interpreting mammograms.
MATERIALS AND METHODS: In this study, 119 community radiologists interpreted 109 expert-defined screening mammography examinations in test sets and rated their confidence in their assessment for each case. They also provided a global assessment of their ability to interpret mammograms. Positive predictive value (PPV) and negative predictive value (NPV) were modeled as functions of self-rated confidence on each examination using log-linear regression estimated with generalized estimating equations. Reference measures were cancer status and expert-defined need for recall. Effect modification by weekly mammography volume was examined.
RESULTS: Radiologists who self-reported higher global interpretive ability tended to interpret more mammograms per week (p = 0.08), were more likely to specialize (p = 0.02) and to have completed a fellowship in breast or women's imaging (p = 0.05), and had a higher PPV for cancer detection (p = 0.01). Examinations for which low-volume radiologists were "very confident" had a PPV of 2.93 times (95% CI, 2.01-4.27) higher than examinations they rated with neutral confidence. Trends of increasing NPVs with increasing confidence were significant for low-volume radiologists relative to noncancers (p = 0.01) and expert nonrecalls (p < 0.001). A trend of significantly increasing NPVs existed for high-volume radiologists relative to expert nonrecall (p = 0.02) but not relative to noncancer status (p = 0.32).
CONCLUSION: Confidence in mammography assessments was associated with better accuracy, especially for low-volume readers. Asking for a second opinion when confidence in an assessment is low may increase accuracy.

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Year:  2012        PMID: 22733922      PMCID: PMC3391746          DOI: 10.2214/AJR.11.7701

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  24 in total

1.  Interpretation time of computer-aided detection at screening mammography.

Authors:  Philip M Tchou; Tamara Miner Haygood; E Neely Atkinson; Tanya W Stephens; Paul L Davis; Elsa M Arribas; William R Geiser; Gary J Whitman
Journal:  Radiology       Date:  2010-08-02       Impact factor: 11.105

2.  Improving mammographic decision accuracy by incorporating observer ratings with interpretation time.

Authors:  R S Saunders; E Samei
Journal:  Br J Radiol       Date:  2006-12       Impact factor: 3.039

3.  Holistic component of image perception in mammogram interpretation: gaze-tracking study.

Authors:  Harold L Kundel; Calvin F Nodine; Emily F Conant; Susan P Weinstein
Journal:  Radiology       Date:  2007-02       Impact factor: 11.105

4.  A novel critical skills curriculum for surgical interns incorporating simulation training improves readiness for acute inpatient care.

Authors:  Mara B Antonoff; Ryan C Shelstad; Connie Schmitz; Jeffrey Chipman; Jonathan D'Cunha
Journal:  J Surg Educ       Date:  2009 Sep-Oct       Impact factor: 2.891

Review 5.  Defining knowledge translation.

Authors:  Sharon E Straus; Jacqueline Tetroe; Ian Graham
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6.  Comparison of reading time between screen-film mammography and soft-copied, full-field digital mammography.

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Journal:  Breast Cancer       Date:  2008-10-03       Impact factor: 4.239

7.  Timed efficiency of interpretation of digital and film-screen screening mammograms.

Authors:  Tamara Miner Haygood; Jihong Wang; E Neely Atkinson; Deanna Lane; Tanya W Stephens; Parul Patel; Gary J Whitman
Journal:  AJR Am J Roentgenol       Date:  2009-01       Impact factor: 3.959

8.  Improving internal medicine residents' performance, knowledge, and confidence in central venous catheterization using simulators.

Authors:  Scott J Millington; Roger Y Wong; Barry O Kassen; James M Roberts; Irene W Y Ma
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Authors:  Joanne Burke; Saeed Fayaz; Keith Graham; Robert Matthew; Max Field
Journal:  Med Teach       Date:  2007-09       Impact factor: 3.650

10.  Inter-observer variability in mammography screening and effect of type and number of readers on screening outcome.

Authors:  L E M Duijm; M W J Louwman; J H Groenewoud; L V van de Poll-Franse; J Fracheboud; J W Coebergh
Journal:  Br J Cancer       Date:  2009-03-03       Impact factor: 7.640

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  4 in total

1.  Comparison of digital mammography and digital breast tomosynthesis in the detection of architectural distortion.

Authors:  Elizabeth H Dibble; Ana P Lourenco; Grayson L Baird; Robert C Ward; A Stanley Maynard; Martha B Mainiero
Journal:  Eur Radiol       Date:  2017-07-14       Impact factor: 5.315

2.  Demographic and practice characteristics of pathologists who enjoy breast tissue interpretation.

Authors:  Natalia V Oster; Berta M Geller; Patricia A Carney; Lisa M Reisch; Tracy Onega; Donald L Weaver; Paul Frederick; Joann G Elmore
Journal:  Breast       Date:  2014-12-29       Impact factor: 4.380

3.  Collective intelligence meets medical decision-making: the collective outperforms the best radiologist.

Authors:  Max Wolf; Jens Krause; Patricia A Carney; Andy Bogart; Ralf H J M Kurvers
Journal:  PLoS One       Date:  2015-08-12       Impact factor: 3.240

4.  Breast cancer detection across dense and non-dense breasts: Markers of diagnostic confidence and efficacy.

Authors:  Ibrahim Hadadi; William Rae; Jillian Clarke; Mark McEntee; Ernest Ekpo
Journal:  Acta Radiol Open       Date:  2022-01-29
  4 in total

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