Evidence map›Paper›PMID 34238743›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2021

[Assessment of imaging performance of digital breast tomosynthesis based on systematic simulation].

Y Deng, M Zhu, S Li, Y Wang, Y Gao, J Ma

Abstract read
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Y DengSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
M ZhuSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
S LiSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Y WangSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Y GaoSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
J MaSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the imaging performance of digital breast tomography (DBT) based on systematic simulation.

objectiveThe raw measurements of physical phantoms at a variety of radiation dose levels and clinical patients at the normal radiation dose were acquired from a clinical DBT system for low-dose simulation and reconstruction using 3 reconstruction algorithms, namely Feldkamp-Davis-Kress (FDK), simultaneous algebraic reconstruction technique (SART) and adaptive steepest-descent projection onto convex sets with total-variation constraint (ASDPOCS-TV) algorithms. The image quality was compared across different radiation dose levels and reconstruction algorithms in terms of signal-to-noise ratio (SNR), peak signal-to-noise ratio (PSNR), noise-power spectrum (NPS), artifact spread function (ASF) and full width at half maximum (FWHM) of ASF indexes.

objectiveThe reliability of low-dose DBT simulation strategy was verified by the experiment. Within a suitable range of dose levels, increasing the doses resulted in reduced high-frequency noise component and significantly increased SNR (

objectiveThe quality of DBT images is significantly affected by both radiation dose and reconstruction algorithms. A tradeoff of the parameters, the overall image quality and the clinical needs for diagnostic purposes should be considered to achieve the optimal imaging performance on a given clinical task.

Indexed as

ArtifactsMammographyAlgorithmsHumansImage Processing, Computer-AssistedPhantoms, ImagingReproducibility of ResultsSignal-To-Noise RatioDBT imagingimage qualitylow-dose simulationradiation dosereconstruction algorithm

Identifiers

PMID34238743
PMCPMC8267994

What OpenQuestion holds

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Registered trials

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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.