Evidence map›Paper›PMID 26712110›Full record

Trial reportJournal of the National Cancer Institute2016

Ultrasound as the Primary Screening Test for Breast Cancer: Analysis From ACRIN 6666.

Wendie A Berg, Andriy I Bandos, Ellen B Mendelson, Daniel Lehrer, Roberta A Jong, Etta D Pisano

Open access · bronzeAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Journal of the National Cancer Institute, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed, 5 pooled it
9.1field-weighted citation impact, top 1% 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

141 citing papers in PubMed, 5 syntheses or guidelines pooled it, 306 citations in OpenAlex.

  1. Pooled it
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  6. Trial
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  10. Integrated [European journal of nuclear medicine and molecular imaging · 2026
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  20. Breast MRI to Screen Women With Extremely Dense Breasts.Journal of magnetic resonance imaging : JMRI · 2025
    Review

81 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Wendie A BergMagee-Womens Hospital of UPMC (WAB) and Department of Biostatistics (AIB), University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL (EBM); CERIM, Buenos Aires, Argentina (DL); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada (RAJ); Department of Radiology, Medical University of South Carolina, Charleston, SC (EDP). wendieberg@gmail.com.
Andriy I BandosMagee-Womens Hospital of UPMC (WAB) and Department of Biostatistics (AIB), University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL (EBM); CERIM, Buenos Aires, Argentina (DL); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada (RAJ); Department of Radiology, Medical University of South Carolina, Charleston, SC (EDP).
Ellen B MendelsonMagee-Womens Hospital of UPMC (WAB) and Department of Biostatistics (AIB), University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL (EBM); CERIM, Buenos Aires, Argentina (DL); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada (RAJ); Department of Radiology, Medical University of South Carolina, Charleston, SC (EDP).
Daniel LehrerMagee-Womens Hospital of UPMC (WAB) and Department of Biostatistics (AIB), University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL (EBM); CERIM, Buenos Aires, Argentina (DL); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada (RAJ); Department of Radiology, Medical University of South Carolina, Charleston, SC (EDP).
Roberta A JongMagee-Womens Hospital of UPMC (WAB) and Department of Biostatistics (AIB), University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL (EBM); CERIM, Buenos Aires, Argentina (DL); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada (RAJ); Department of Radiology, Medical University of South Carolina, Charleston, SC (EDP).
Etta D PisanoMagee-Womens Hospital of UPMC (WAB) and Department of Biostatistics (AIB), University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL (EBM); CERIM, Buenos Aires, Argentina (DL); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada (RAJ); Department of Radiology, Medical University of South Carolina, Charleston, SC (EDP).
Magee-Womens Hospital · USSunnybrook Health Science Centre · CAUniversity of Pittsburgh · USUniversity of Toronto · CA

Funding

ARRA - ADOPT New Technologies for RDC/CDMSU01CA080098 · NCI · AMERICAN COLLEGE OF RADIOLOGY · PI SCHNALL, MITCHELL D. · 1999 to 2011
$182.7M
BIOSTATISTICS DATA MANAGEMENT CENTER FOR ACROINU01CA079778 · NCI · BROWN UNIVERSITY · PI GATSONIS, CONSTANTINE A. · 1999 to 2011
$48.6M
Assessment of periodic screening of women with denser breast using WBUS and DBTR01CA187593 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BERG, WENDIE A · 2015 to 2019
$3.1M
NCI NIH HHS R01 CA187593NCI NIH HHS R01CA187593NCI NIH HHS U01CA79778NCI NIH HHS U01CA80098
6 · The paper itself

Abstract

backgroundMammography is not widely available in all countries, and breast cancer incidence is increasing. We considered performance characteristics using ultrasound (US) instead of mammography to screen for breast cancer.

methodsTwo thousand eight hundred nine participants were enrolled at 20 sites in the United States, Canada, and Argentina in American College of Radiology Imaging 6666. Two thousand six hundred sixty-two participants completed three annual screens (7473 examinations) with US and film-screen (n = 4351) or digital (n = 3122) mammography and had biopsy or 12-month follow-up. Cancer detection, recall, and positive predictive values were determined. All statistical tests were two-sided.

resultsOne hundred ten women had 111 breast cancer events: 89 (80.2%) invasive cancers, median size 12 mm. The number of US screens to detect one cancer was 129 (95% bootstrap confidence interval [CI] = 110 to 156), and for mammography 127 (95% CI = 109 to 152). Cancer detection was comparable for each of US and mammography at 58 of 111 (52.3%) vs 59 of 111 (53.2%, P = .90), with US-detected cancers more likely invasive (53/58, 91.4%, median size 12 mm, range = 2-40 mm), vs mammography at 41 of 59 (69.5%, median size 13 mm, range = 1-55 mm, P < .001). Invasive cancers detected by US were more frequently node-negative, 34 of 53 (64.2%) vs 18 of 41 (43.9%) by mammography (P = .003). For 4814 incidence screens (years 2 and 3), US had higher recall and biopsy rates and lower PPV of biopsy (PPV3) than mammography: The recall rate was 10.7% (n = 515) vs 9.4% (n = 453, P = .03), the biopsy rate was 5.5% (n = 266) vs 2.0% (n = 97, P < .001), and PPV3 was 11.7% (31/266) vs 38.1% (37/97, P < .001).

conclusionsCancer detection rate with US is comparable with mammography, with a greater proportion of invasive and node-negative cancers among US detections. False positives are more common with US screening.

Indexed as

Breast NeoplasmsEarly Detection of CancerMass ScreeningUltrasonography, MammaryAdultAgedAged, 80 and overArgentinaBiopsyCanadaFalse Positive ReactionsFemaleHumansIncidenceMammographyMiddle Aged

Identifiers

PMID26712110
PMCPMC5943835
OpenAlexW2253584488

What OpenQuestion holds

Textmetadata
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.