Literature DB >> 24057201

Experiences with a self-test for Dutch breast screening radiologists: lessons learnt.

J M H Timmers1, A L M Verbeek, R M Pijnappel, M J M Broeders, G J den Heeten.   

Abstract

PURPOSE: To evaluate a self-test for Dutch breast screening radiologists introduced as part of the national quality assurance programme. METHODS AND MATERIALS: A total of 144 radiologists were invited to complete a test-set of 60 screening mammograms (20 malignancies). Participants assigned findings such as location, lesion type and BI-RADS. We determined areas under the receiver operating characteristics (ROC) curves (AUC), case and lesion sensitivity and specificity, agreement (kappa) and correlation between reader characteristics and case sensitivity (Spearman correlation coefficients).
RESULTS: A total of 110 radiologists completed the test (76%). Participants read a median number of 10,000 screening mammograms/year. Median AUC value was 0.93, case and lesion sensitivity was 91% and case specificity 94%. We found substantial agreement for recall (κ = 0.77) and laterality (κ = 0.80), moderate agreement for lesion type (κ = 0.57) and BI-RADS (κ = 0.45) and no correlation between case sensitivity and reader characteristics.
CONCLUSION: Areas under the ROC curve, case sensitivity and lesion sensitivity were satisfactory and recall agreement was substantial. However, agreement in lesion type and BI-RADS could be improved; further education might be aimed at reducing interobserver variation in interpretation and description of abnormalities. We offered individual feedback on interpretive performance and overall feedback at group level. Future research will determine whether performance has improved. KEY POINTS: • We introduced and evaluated a self-test for Dutch breast screening radiologists. • ROC curves, case and lesion sensitivity and recall agreement were all satisfactory. • Agreement in BI-RADS interpretation and description of abnormalities could be improved. • These are areas that should be targeted with further education and training. • We offered individual feedback on interpretative performance and overall group feedback.

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Mesh:

Year:  2013        PMID: 24057201     DOI: 10.1007/s00330-013-3018-4

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  20 in total

Review 1.  Assessing reader performance in radiology, an imperfect science: lessons from breast screening.

Authors:  B P Soh; W Lee; P L Kench; W M Reed; M F McEntee; A Poulos; P C Brennan
Journal:  Clin Radiol       Date:  2012-04-07       Impact factor: 2.350

2.  BI-RADS lexicon for US and mammography: interobserver variability and positive predictive value.

Authors:  Elizabeth Lazarus; Martha B Mainiero; Barbara Schepps; Susan L Koelliker; Linda S Livingston
Journal:  Radiology       Date:  2006-03-28       Impact factor: 11.105

3.  Analysis of the results of a proficiency test in screening mammography at the CSPO of Florence: review of 705 tests.

Authors:  S Ciatto; D Ambrogetti; D Morrone; M Rosselli Del Turco
Journal:  Radiol Med       Date:  2006-08-11       Impact factor: 3.469

4.  Breast screening: PERFORMS identifies key mammographic training needs.

Authors:  H J Scott; A G Gale
Journal:  Br J Radiol       Date:  2006-12       Impact factor: 3.039

5.  Web-based mammography audit feedback.

Authors:  Berta M Geller; Laura Ichikawa; Diana L Miglioretti; David Eastman
Journal:  AJR Am J Roentgenol       Date:  2012-06       Impact factor: 3.959

6.  Association between time spent interpreting, level of confidence, and accuracy of screening mammography.

Authors:  Patricia A Carney; T Andrew Bogart; Berta M Geller; Sebastian Haneuse; Karla Kerlikowske; Diana S M Buist; Robert Smith; Robert Rosenberg; Bonnie C Yankaskas; Tracy Onega; Diana L Miglioretti
Journal:  AJR Am J Roentgenol       Date:  2012-04       Impact factor: 3.959

7.  International comparison of performance measures for screening mammography: can it be done?

Authors:  B C Yankaskas; C N Klabunde; R Ancelle-Park; G Renner; H Wang; J Fracheboud; G Pou; J-L Bulliard
Journal:  J Med Screen       Date:  2004       Impact factor: 2.136

8.  When radiologists perform best: the learning curve in screening mammogram interpretation.

Authors:  Diana L Miglioretti; Charlotte C Gard; Patricia A Carney; Tracy L Onega; Diana S M Buist; Edward A Sickles; Karla Kerlikowske; Robert D Rosenberg; Bonnie C Yankaskas; Berta M Geller; Joann G Elmore
Journal:  Radiology       Date:  2009-09-29       Impact factor: 11.105

9.  Variability in interpretive performance at screening mammography and radiologists' characteristics associated with accuracy.

Authors:  Joann G Elmore; Sara L Jackson; Linn Abraham; Diana L Miglioretti; Patricia A Carney; Berta M Geller; Bonnie C Yankaskas; Karla Kerlikowske; Tracy Onega; Robert D Rosenberg; Edward A Sickles; Diana S M Buist
Journal:  Radiology       Date:  2009-10-28       Impact factor: 11.105

10.  Radiologist agreement for mammographic recall by case difficulty and finding type.

Authors:  Tracy Onega; Megan Smith; Diana L Miglioretti; Patricia A Carney; Berta A Geller; Karla Kerlikowske; Diana S M Buist; Robert D Rosenberg; Robert A Smith; Edward A Sickles; Sebastien Haneuse; Melissa L Anderson; Bonnie Yankaskas
Journal:  J Am Coll Radiol       Date:  2012-11       Impact factor: 5.532

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  2 in total

1.  Mammography self-evaluation online test for screening readers: an Italian Society of Medical Radiology (SIRM) initiative.

Authors:  Beniamino Brancato; Francesca Peruzzi; Calogero Saieva; Simone Schiaffino; Sandra Catarzi; Gabriella Gemma Risso; Andrea Cozzi; Serena Carriero; Massimo Calabrese; Stefania Montemezzi; Chiara Zuiani; Francesco Sardanelli
Journal:  Eur Radiol       Date:  2021-09-04       Impact factor: 5.315

2.  A machine learning model based on readers' characteristics to predict their performances in reading screening mammograms.

Authors:  Ziba Gandomkar; Sarah J Lewis; Tong Li; Ernest U Ekpo; Patrick C Brennan
Journal:  Breast Cancer       Date:  2022-02-05       Impact factor: 3.307

  2 in total

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