Evidence map›Paper›PMID 23052645›Full record

ArticleEuropean radiology2013

Digital mammography screening: how many breast cancers are additionally detected by bilateral ultrasound examination during assessment?

Stefanie Weigel, Cornelis Biesheuvel, Shoma Berkemeyer, Harald Kugel, Walter Heindel

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Article in European radiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. In reply.Deutsches Arzteblatt international · 2013
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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

5 authors.

Stefanie WeigelDepartment of Clinical Radiology and Reference Center for Mammography, University Hospital Muenster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149 Muenster, Germany.
Cornelis Biesheuvel
Shoma Berkemeyer
Harald Kugel
Walter Heindel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the positive predictive values of incremental breast cancer detection (PPV1) in relation to the mammographic breast density and of performed biopsies (PPV3) resulting from supplemental bilateral physician-performed whole-breast ultrasound (US) at recall of a population-based digital mammography screening programme.

methodsA total of 2,803 recalled screening participants (50-69 years), who had additional bilateral US with prospectively completed documentation [grading of breast density (ACR 1-4), biopsy recommendation related to US and mammography], were included.

resultsThe PPV1 of supplemental cancer detection only by US was 0.21 % (6/2,803) compared to 13.8 % (386/2,803) by mammography. The PPV1 of US-only cancer detection was 0 %, 0.16 % (2/1,220), 0.22 % (3/1,374) and 1.06 % (1/94) for women with breast density of ACR 1, ACR 2, ACR 3 and ACR 4, respectively. The PPV3 of US-only lesion detection was 33.3 % (9/27) compared to 38.0 % (405/1,066) by mammography. The proportion of invasive cancers no larger than 10 mm was 37.5 % (3/8) for US-only detection compared to 38.4 % (113/294) for mammographic detection.

conclusionBilateral ultrasound at recall, in addition to the assessment of screen-detected mammographic abnormalities, resulted in a low PPV of incremental cancer detection only by US, without a disproportional increase of false-positive biopsies.

Indexed as

Signal Processing, Computer-AssistedAgedBreast NeoplasmsFalse Negative ReactionsFemaleGermanyHumansMass ScreeningMiddle AgedObserver VariationPrevalenceReproducibility of ResultsRisk FactorsSensitivity and SpecificityUltrasonography, Mammary

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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.