Evidence map›Paper›PMID 36802348›Full record

ArticleThe British journal of radiology2023

Radiologists' performance in reading digital breast tomosynthesis with and without synthesized views for cancer detection.

Phuong Dung Yun Trieu, Jennie Noakes, Tong Li, Natacha Borecky, Patrick C Brennan, Melissa L Barron, Sarah J Lewis

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The British journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 1 country.

Phuong Dung Yun TrieuDiscipline of Medical Imaging Sciences, Faculty of Medicine and Health. The University of Sydney, New South Wales, Australia.
Jennie NoakesDiscipline of Medical Imaging Sciences, Faculty of Medicine and Health. The University of Sydney, New South Wales, Australia.
Tong LiDiscipline of Medical Imaging Sciences, Faculty of Medicine and Health. The University of Sydney, New South Wales, Australia.
Natacha BoreckyDiscipline of Medical Imaging Sciences, Faculty of Medicine and Health. The University of Sydney, New South Wales, Australia.
Patrick C BrennanDiscipline of Medical Imaging Sciences, Faculty of Medicine and Health. The University of Sydney, New South Wales, Australia.
Melissa L BarronDiscipline of Medical Imaging Sciences, Faculty of Medicine and Health. The University of Sydney, New South Wales, Australia.
Sarah J LewisDiscipline of Medical Imaging Sciences, Faculty of Medicine and Health. The University of Sydney, New South Wales, Australia.
The University of Sydney · AUBreastScreen WA · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe study aims to evaluate the diagnostic efficacy of radiologists and radiology trainees in digital breast tomosynthesis (DBT) alone

methodsFifty-five observers (30 radiologists and 25 radiology trainees) participated in reading a set of 35 cases (15 cancer) with 28 readers reading DBT and 27 readers reading DBT plus SV. Two groups of readers had similar experience in interpreting mammograms. The performances of participants in each reading mode were compared with the ground truth and calculated in term of specificity, sensitivity, and ROC AUC. The cancer detection rate in various levels of breast density, lesion types and lesion sizes between 'DBT' and 'DBT + SV' were also analyzed. The difference in diagnostic accuracy of readers between two reading modes was assessed using Man-Whitney

resultsThere was no significant difference in specificity (0.67-

conclusionFindings show that the diagnostic performances of radiologists and radiology trainees in DBT alone and DBT plus SV were equivalent in identifying cancer and normal cases. ADVANCES IN KNOWLEDGE: DBT alone had equivalent diagnostic accuracy as DBT plus SV which could imply the consideration of using DBT as a sole modality without SV.

Indexed as

Breast NeoplasmsImage Processing, Computer-AssistedMammographyRadiologistsBreastFemaleHumansSensitivity and Specificity

Identifiers

PMID36802348
PMCPMC10161913
OpenAlexW4321444504

What OpenQuestion holds

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LicenceCC BY-NC
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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.