Evidence map›Paper›PMID 31511550›Full record

ArticleScientific reports2019

Optimization of the energy for Breast monochromatic absorption X-ray Computed Tomography.

Pasquale Delogu, Vittorio Di Trapani, Luca Brombal, Giovanni Mettivier, Angelo Taibi, Piernicola Oliva

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Pasquale DeloguDipartimento di Scienze Fisiche, della Terra e dell'Ambiente, Università di Siena, Siena, Italy. pasquale.delogu@unisi.it.ORCID http://orcid.org/0000-0003-2026-2000
Vittorio Di TrapaniDipartimento di Scienze Fisiche, della Terra e dell'Ambiente, Università di Siena, Siena, Italy.
Luca BrombalDipartimento di Fisica, Università di Trieste, Trieste, Italy.ORCID http://orcid.org/0000-0002-4009-8191
Giovanni MettivierDipartimento di Fisica, Università di Napoli Federico II, Napoli, Italy.
Angelo TaibiDipartimento di Fisica e Scienze dalla Terra, Università di Ferrara, Ferrara, Italy.
Piernicola OlivaDipartimento di Chimica e Farmacia, Università di Sassari, Sassari, Italy.ORCID http://orcid.org/0000-0002-9446-3967

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The limits of mammography have led to an increasing interest on possible alternatives such as the breast Computed Tomography (bCT). The common goal of all X-ray imaging techniques is to achieve the optimal contrast resolution, measured through the Contrast to Noise Ratio (CNR), while minimizing the radiological risks, quantified by the dose. Both dose and CNR depend on the energy and the intensity of the X-rays employed for the specific imaging technique. Some attempts to determine an optimal energy for bCT have suggested the range 22 keV-34 keV, some others instead suggested the range 50 keV-60 keV depending on the parameters considered in the study. Recent experimental works, based on the use of monochromatic radiation and breast specimens, show that energies around 32 keV give better image quality respect to setups based on higher energies. In this paper we report a systematic study aiming at defining the range of energies that maximizes the CNR at fixed dose in bCT. The study evaluates several compositions and diameters of the breast and includes various reconstruction algorithms as well as different dose levels. The results show that a good compromise between CNR and dose is obtained using energies around 28 keV.

Indexed as

AlgorithmsBiophysical PhenomenaBreastFemaleHumansMammographyRadiation DosageRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedSignal-To-Noise RatioTomography, X-Ray ComputedX-Rays

Identifiers

PMID31511550
PMCPMC6739417

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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.