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


Journal

Academic radiology
ISSN: 1878-4046
Titre abrégé: Acad Radiol
Pays: United States
ID NLM: 9440159

Informations de publication

Date de publication:
06 2019
Historique:
received: 25 04 2018
revised: 19 06 2018
accepted: 19 06 2018
pubmed: 2 8 2018
medline: 25 4 2020
entrez: 2 8 2018
Statut: ppublish

Résumé

To establish the efficacy of pairing readers randomly and evaluate the merits of developing optimal pairing methodologies. 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. 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). 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.

Identifiants

pubmed: 30064917
pii: S1076-6332(18)30331-3
doi: 10.1016/j.acra.2018.06.017
pmc: PMC7184882
mid: NIHMS1031966
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

717-723

Subventions

Organisme : NIBIB NIH HHS
ID : R01 EB018958
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB026427
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2018 The Association of University Radiologists. All rights reserved.

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Auteurs

Patrick C Brennan (PC)

Medical Image Optimisation and Perception Group (MIOPeG), Medical Imaging and Radiation Sciences, Faculty Research Group, Faculty of Health Sciences, the University of Sydney, Cumberland Campus, 75 East St, Lidcombe, NSW 2141, Australia.

Aarthi Ganesan (A)

Medical Image Optimisation and Perception Group (MIOPeG), Medical Imaging and Radiation Sciences, Faculty Research Group, Faculty of Health Sciences, the University of Sydney, Cumberland Campus, 75 East St, Lidcombe, NSW 2141, Australia.

Miguel P Eckstein (MP)

Department of Psychological & Brain Sciences, University of California, Santa Barbara, CA 93106; Institute for Collaborative Biotechnologies, University of California, Santa Barbara, CA 93106.

Ernest Usang Ekpo (EU)

Medical Image Optimisation and Perception Group (MIOPeG), Medical Imaging and Radiation Sciences, Faculty Research Group, Faculty of Health Sciences, the University of Sydney, Cumberland Campus, 75 East St, Lidcombe, NSW 2141, Australia. Electronic address: ernest.ekpo@sydney.edu.au.

Kriscia Tapia (K)

Medical Image Optimisation and Perception Group (MIOPeG), Medical Imaging and Radiation Sciences, Faculty Research Group, Faculty of Health Sciences, the University of Sydney, Cumberland Campus, 75 East St, Lidcombe, NSW 2141, Australia.

Claudia Mello-Thoms (C)

Medical Image Optimisation and Perception Group (MIOPeG), Medical Imaging and Radiation Sciences, Faculty Research Group, Faculty of Health Sciences, the University of Sydney, Cumberland Campus, 75 East St, Lidcombe, NSW 2141, Australia.

Sarah Lewis (S)

Medical Image Optimisation and Perception Group (MIOPeG), Medical Imaging and Radiation Sciences, Faculty Research Group, Faculty of Health Sciences, the University of Sydney, Cumberland Campus, 75 East St, Lidcombe, NSW 2141, Australia.

Mordechai Z Juni (MZ)

Department of Psychological & Brain Sciences, University of California, Santa Barbara, CA 93106.

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Classifications MeSH