Literature DB >> 30064917

Benefits of Independent Double Reading in Digital Mammography: A Theoretical Evaluation of All Possible Pairing Methodologies.

Patrick C Brennan1, Aarthi Ganesan1, Miguel P Eckstein2, Ernest Usang Ekpo3, Kriscia Tapia1, Claudia Mello-Thoms1, Sarah Lewis1, Mordechai Z Juni4.   

Abstract

RATIONALE AND
OBJECTIVES: To establish the efficacy of pairing readers randomly and evaluate the merits of developing optimal pairing methodologies.
MATERIALS AND METHODS: Sensitivity, specificity, and proportion correct were computed for three different case sets that were independently read by 16 radiologists. Performance of radiologists as single readers was compared to expected double reading performance. We theoretically evaluated all possible pairing methodologies. Bootstrap resampling methods were used for statistical analyses.
RESULTS: Significant improvements in expected performance for double versus single reading (ie, delta performance) were shown for all performance measures and case-sets (p ≤ .003), with overall delta performance across all theoretically possible pairing schemes (n = 10,395) ranging between .05 and .08. Delta performance for the 20 best pairing schemes was significant (p < .001) and ranged between .07 and .10. Delta performance for 20 random pairing schemes was also significant (p ≤ .003) and ranged between .05 and .08. Delta performance for the 20 worst pairing schemes ranged between .03 and .06, reaching significance in delta proportion correct (p ≤ .021) for all three case-sets and in delta specificity for two case-sets (p ≤ .033) but not for a third case-set (p = .131), and not reaching significance in delta sensitivity for any of the three case-sets (.098 ≥ p ≥ .067).
CONCLUSION: Significant benefits accrue from double reading, and while random reader pairing achieves most double reading benefits, a strategic pairing approach may maximize the benefits of double reading.
Copyright © 2018 The Association of University Radiologists. All rights reserved.

Entities:  

Keywords:  Breast cancer; Digital mammography; Double reading; Observer variation; Radiologists

Mesh:

Year:  2018        PMID: 30064917      PMCID: PMC7184882          DOI: 10.1016/j.acra.2018.06.017

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  15 in total

1.  Statistical combination schemes of repeated diagnostic test data.

Authors:  Kelly H Zou; Jui G Bhagwat; John A Carrino
Journal:  Acad Radiol       Date:  2006-05       Impact factor: 3.173

2.  Comparison of computer-aided detection to double reading of screening mammograms: review of 231,221 mammograms.

Authors:  Matthew Gromet
Journal:  AJR Am J Roentgenol       Date:  2008-04       Impact factor: 3.959

3.  Boosting medical diagnostics by pooling independent judgments.

Authors:  Ralf H J M Kurvers; Stefan M Herzog; Ralph Hertwig; Jens Krause; Patricia A Carney; Andy Bogart; Giuseppe Argenziano; Iris Zalaudek; Max Wolf
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-18       Impact factor: 11.205

4.  The wisdom of crowds for visual search.

Authors:  Mordechai Z Juni; Miguel P Eckstein
Journal:  Proc Natl Acad Sci U S A       Date:  2017-05-10       Impact factor: 11.205

5.  Second reading of screening mammograms increases cancer detection and recall rates. Results in the Florence screening programme.

Authors:  S Ciatto; D Ambrogetti; R Bonardi; S Catarzi; G Risso; M Rosselli Del Turco; P Mantellini
Journal:  J Med Screen       Date:  2005       Impact factor: 2.136

6.  The efficacy of double reading mammograms in breast screening.

Authors:  E D Anderson; B B Muir; J S Walsh; A E Kirkpatrick
Journal:  Clin Radiol       Date:  1994-04       Impact factor: 2.350

7.  Benefit of independent double reading in a population-based mammography screening program.

Authors:  E L Thurfjell; K A Lernevall; A A Taube
Journal:  Radiology       Date:  1994-04       Impact factor: 11.105

8.  Independent double reading of screening mammograms in The Netherlands: effect of arbitration following reader disagreements.

Authors:  Lucien E M Duijm; Johanna H Groenewoud; Jan H C L Hendriks; Harry J de Koning
Journal:  Radiology       Date:  2004-03-24       Impact factor: 11.105

Review 9.  Is single reading with computer-aided detection (CAD) as good as double reading in mammography screening? A systematic review.

Authors:  Edward Azavedo; Sophia Zackrisson; Ingegerd Mejàre; Marianne Heibert Arnlind
Journal:  BMC Med Imaging       Date:  2012-07-24       Impact factor: 1.930

10.  Changing case Order to Optimise patterns of Performance in mammography Screening (CO-OPS): study protocol for a randomized controlled trial.

Authors:  Sian Taylor-Phillips; Matthew G Wallis; Helen Parsons; Janet Dunn; Nigel Stallard; Helen Campbell; Sarah Sellars; Ala Szczepura; Simon Gates; Aileen Clarke
Journal:  Trials       Date:  2014-01-10       Impact factor: 2.279

View more
  3 in total

Review 1.  Double reading in breast cancer screening: considerations for policy-making.

Authors:  Sian Taylor-Phillips; Chris Stinton
Journal:  Br J Radiol       Date:  2019-10-23       Impact factor: 3.039

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

3.  Diagnostic Efficacy across Dense and Non-Dense Breasts during Digital Breast Tomosynthesis and Ultrasound Assessment for Recalled Women.

Authors:  Ibrahim Hadadi; Jillian Clarke; William Rae; Mark McEntee; Wendy Vincent; Ernest Ekpo
Journal:  Diagnostics (Basel)       Date:  2022-06-16
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.