Evidence map›Paper›PMID 36005466›Full record

ArticleJournal of imaging2022

Image Quality Comparison between Digital Breast Tomosynthesis Images and 2D Mammographic Images Using the CDMAM Test Object.

Ioannis A Tsalafoutas, Angeliki C Epistatou, Konstantinos K Delibasis

Abstract read
In one paragraph

Article in Journal of imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. Article
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

3 authors.

Ioannis A TsalafoutasOccupational Health and Safety Department, Radiation Safety Section, Hamad Medical Corporation, Doha P.O. Box 3050, Qatar.ORCID 0000-0001-8007-1682
Angeliki C EpistatouDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece.
Konstantinos K DelibasisDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece.ORCID 0000-0003-1055-3007

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate the image quality (IQ) of synthesized two-dimensional (s2D) and tomographic layer (TL) mammographic images in comparison to the 2D digital mammographic images produced with a new digital breast tomosynthesis (DBT) system.

Indexed as

CDMAMdigital breast tomosynthesis (DBT)digital mammographyimage quality

Identifiers

PMID36005466
PMCPMC9410151

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.