ArticleDer Radiologe2015
[Digital breast tomosynthesis].
Article in Der Radiologe, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 7 citations in OpenAlex.
- The value of predicting breast cancer with a DBT 2.5D deep learning model.Discover oncology · 2025Article
- [Interventional techniques for the breast].Der Radiologe · 2021Review
- [Diagnostic imaging of breast cancer : An update].Der Radiologe · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In digital breast tomosynthesis several low dose mammograms are acquired from different angles to calculate thin slices of synthetic mammograms from algorithms. Similar to computed tomography and magnetic resonance imaging, breast tomosynthesis provides breast images which are virtually free from superimposition. This is in particular important in cases of high mammographic density to differentiate real masses and architectural distortions from the overlying parenchyma. In comparison to full field digital mammography tomosynthesis can improve the cancer detection rate and reduce the recall rate. The limitations of tomosynthesis are the higher radiation dose and the longer reporting time compared to full field digital mammography. Until the radiation dose can be significantly reduced it is advisable to use tomosynthesis in addition to full field digital mammography primarily for the assessment of suspicious mammographic findings and not for breast cancer screening.
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What OpenQuestion holds
Registered trials
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.