Evidence map›Paper›PMID 20832024›Full record

ArticleAcademic radiology2010

Radiologists' perceptions of computer aided detection versus double reading for mammography interpretation.

Tracy Onega, Erin J Aiello Bowles, Diana L Miglioretti, Patricia A Carney, Berta M Geller, Bonnie C Yankaskas, Karla Kerlikowske, Edward A Sickles, Joann G Elmore

Open access · greenAbstract readComparative Study
In one paragraph

Article in Academic radiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 30 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 7 institutions in 2 countries.

Tracy OnegaDartmouth Medical School, Lebanon, NH 03756, USA. onega@dartmouth.edu
Erin J Aiello Bowles
Diana L Miglioretti
Patricia A Carney
Berta M Geller
Bonnie C Yankaskas
Karla Kerlikowske
Edward A Sickles
Joann G Elmore
University of California, San Francisco · USUniversity of Washington · USDartmouth College · USGroup Health Cooperative · USOregon Health & Science University · USUniversity of North Carolina at Chapel Hill · USUniversity of Vermont · US

Funding

Statistical Coordinating Center for the Breast Cancer Surveillance ConsortiumU01CA086076 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI MIGLIORETTI, DIANA L · 2000 to 2011
$8.5M
IMPROVING THE QUALITY OF MAMMOGRAPHIC INTERPRETATIONU01CA063731 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI BUIST, DIANA SM · 1994 to 2011
$6.7M
VERMONT BREAST CANCER SURVEILLANCE SYSTEMU01CA070013 · NCI · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI GELLER, BERTA M · 1995 to 2011
$6.7M
UTILITY AND OUTCOMES FROM MAMMOGRAPHY IN NORTH CAROLINAU01CA070040 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YANKASKAS, BONNIE C · 1995 to 2011
$6.4M
San Francisco Mammography Registry-A Research SourceU01CA063740 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KERLIKOWSKE, KARLA M · 1994 to 2011
$6.2M
STRATEGIC STUDIES IN BREAST CANCER SURVEILLANCEU01CA086082 · NCI · DARTMOUTH COLLEGE · PI ONEGA, TRACY · 2000 to 2011
$4.9M
Understanding Variability in Community MammographyR01CA107623 · NCI · UNIVERSITY OF WASHINGTON · PI ELMORE, JOANN G · 2004 to 2008
$3.7M
REFERRAL PATTERNS AND COST ANALYSIS OF SCREENING MAMMOGRAPHY--FOLLOW-UP/BIOPSYU01CA063736 · NCI · COOPER INSTITUTE · PI CUTTER, GARY · 1994 to 2004
$2.7M
NEW MEXICO MAMMOGRAPHY PROJECTU01CA069976 · NCI · UNIVERSITY OF NEW MEXICO · PI ROSENBERG, ROBERT D · 1995 to 2005
$2.7M
Improving Accuracy &Outcomes of Breast Cancer ScreeningK05CA104699 · NCI · UNIVERSITY OF WASHINGTON · PI ELMORE, JOANN G · 2004 to 2014
$1.2M
NCI NIH HHS 1K05 CA104699NCI NIH HHS 1R01 CA107623NCI NIH HHS K05 CA104699NCI NIH HHS R01 CA107623NCI NIH HHS U01 CA063731NCI NIH HHS U01 CA063736NCI NIH HHS U01 CA063740NCI NIH HHS U01 CA069976NCI NIH HHS U01 CA070013NCI NIH HHS U01 CA070040NCI NIH HHS U01 CA086076NCI NIH HHS U01 CA086082NCI NIH HHS U01CA63731NCI NIH HHS U01CA63736NCI NIH HHS U01CA63740NCI NIH HHS U01CA69976NCI NIH HHS U01CA70013NCI NIH HHS U01CA70040NCI NIH HHS U01CA86076NCI NIH HHS U01CA86082
6 · The paper itself

Abstract

RATIONALE AND

objectivesThe aim of this study was to examine radiologists' use and perceptions of computer-aided detection (CAD) and double reading for screening mammography interpretation. MATERIALS AND

methodsA mailed survey of 257 community radiologists participating in the national Breast Cancer Surveillance Consortium was used to assess perceptions and practices related to CAD and double reading. Latent class analysis was used to classify radiologists' overall perceptions of CAD and double reading on the basis of their agreement or disagreement with specific statements about CAD and double reading.

resultsMost radiologists (64%) reported using CAD for more than half the screening mammograms they interpreted, but only <5% reported double reading that much. More radiologists perceived that double reading improved cancer detection rates compared to CAD (74% vs 55% reported), whereas fewer radiologists thought that double reading decreased recall rates compared to CAD (50% vs 65% reported). Radiologists with the most favorable perceptions of CAD were more likely to think that CAD improved cancer detection rates without taking too much time compared to radiologists with the most unfavorable overall perceptions. In latent class analysis, an overall favorable perception of CAD was significantly associated with the use of CAD (81%), a higher percentage of workload in screening mammography (80%), academic affiliation (71%), and fellowship training (58%). Perceptions of double reading that were most favorable were associated with academic affiliation (98%).

conclusionsRadiologists' perceptions were more favorable toward double reading by a second clinician than by a computer, although fewer used double reading in their own practice. The majority of radiologists perceived both CAD and double reading at least somewhat favorably, although for largely different reasons.

Indexed as

Attitude of Health PersonnelRadiographic Image Interpretation, Computer-AssistedBreast NeoplasmsData CollectionFemaleHumansMammographyObserver VariationPhysiciansRadiologyReferral and ConsultationUnited States

Identifiers

PMID20832024
PMCPMC3149895
OpenAlexW2036784348

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.