Evidence map›Paper›PMID 23553585›Full record

ArticleEuropean radiology2013

Prospective trial comparing full-field digital mammography (FFDM) versus combined FFDM and tomosynthesis in a population-based screening programme using independent double reading with arbitration.

Per Skaane, Andriy I Bandos, Randi Gullien, Ellen B Eben, Ulrika Ekseth, Unni Haakenaasen, Mina Izadi, Ingvild N Jebsen, Gunnar Jahr, Mona Krager and 1 more

Open access · hybridAbstract readComparative Study
In one paragraph

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 70 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 4 pooled it
17.5field-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

70 citing papers in PubMed, 4 syntheses or guidelines pooled it, 220 citations in OpenAlex.

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  12. Machine learning and new insights for breast cancer diagnosis.The Journal of international medical research · 2024
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  17. Digital Breast Tomosynthesis: an Overview.Indian journal of surgical oncology · 2021
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  20. Article

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

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

11 authors at 4 institutions in 2 countries.

Per SkaaneDepartment of Radiology, Oslo University Hospital, University of Oslo, Oslo, Norway. PERSKA@ous-hf.no
Andriy I Bandos
Randi Gullien
Ellen B Eben
Ulrika Ekseth
Unni Haakenaasen
Mina Izadi
Ingvild N Jebsen
Gunnar Jahr
Mona Krager
Solveig Hofvind
Oslo University Hospital · NOCancer Registry of Norway · NOUniversity of Oslo · NOUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo compare double readings when interpreting full field digital mammography (2D) and tomosynthesis (3D) during mammographic screening.

methodsA prospective, Ethical Committee approved screening study is underway. During the first year 12,621 consenting women underwent both 2D and 3D imaging. Each examination was independently interpreted by four radiologists under four reading modes: Arm A-2D; Arm B-2D + CAD; Arm C-2D + 3D; Arm D-synthesised 2D + 3D. Examinations with a positive score by at least one reader were discussed at an arbitration meeting before a final management decision. Paired double reading of 2D (Arm A + B) and 2D + 3D (Arm C + D) were analysed. Performance measures were compared using generalised linear mixed models, accounting for inter-reader performance heterogeneity (P < 0.05).

resultsPre-arbitration false-positive scores were 10.3 % (1,286/12,501) and 8.5 % (1,057/12,501) for 2D and 2D + 3D, respectively (P < 0.001). Recall rates were 2.9 % (365/12,621) and 3.7 % (463/12,621), respectively (P = 0.005). Cancer detection was 7.1 (90/12,621) and 9.4 (119/12,621) per 1,000 examinations, respectively (30 % increase, P < 0.001); positive predictive values (detected cancer patients per 100 recalls) were 24.7 % and 25.5 %, respectively (P = 0.97). Using 2D + 3D, double-reading radiologists detected 27 additional invasive cancers (P < 0.001).

conclusionDouble reading of 2D + 3D significantly improves the cancer detection rate in mammography screening. KEY POINTS: • Tomosynthesis-based screening was successfully implemented in a large prospective screening trial. • Double reading of tomosynthesis-based examinations significantly reduced false-positive interpretations. • Double reading of tomosynthesis significantly increased the detection of invasive cancers.

Indexed as

AgedBreast NeoplasmsEarly Detection of CancerFalse Positive ReactionsFemaleHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMammographyMiddle AgedObserver VariationProspective StudiesRadiographic Image Interpretation, Computer-AssistedReproducibility of Results

Identifiers

PMID23553585
PMCPMC3701792
OpenAlexW2009232173

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.