Evidence map›Paper›PMID 33060795›Full record

ArticleScientific reports2020

Experimental optimization of the energy for breast-CT with synchrotron radiation.

Piernicola Oliva, Vittorio Di Trapani, Fulvia Arfelli, Luca Brombal, Sandro Donato, Bruno Golosio, Renata Longo, Giovanni Mettivier, Luigi Rigon, Angelo Taibi and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

13 authors.

Piernicola OlivaDipartimento Di Chimica E Farmacia, Università Di Sassari, Sassari, Italy.
Vittorio Di TrapaniDipartimento Di Scienze Fisiche, Della Terra E Dell'Ambiente, Università Di Siena, Siena, Italy. vittorio.ditrapani@pi.infn.it.
Fulvia ArfelliDipartimento Di Fisica, Università Di Trieste, Trieste, Italy.
Luca BrombalDipartimento Di Fisica, Università Di Trieste, Trieste, Italy.
Sandro DonatoDipartimento Di Fisica, Università Della Calabria, Cosenza, Italy.
Bruno GolosioI.N.F.N. Sezione Di Cagliari, Cagliari, Italy.
Renata LongoDipartimento Di Fisica, Università Di Trieste, Trieste, Italy.
Giovanni MettivierDipartimento Di Fisica, Università Di Napoli Federico II, Napoli, Italy.
Luigi RigonDipartimento Di Fisica, Università Di Trieste, Trieste, Italy.
Angelo TaibiDipartimento Di Fisica E Scienze Della Terra, Università Di Ferrara, Ferrara, Italy.
Giuliana TrombaElettra-Sincrotrone Trieste SCpA, Basovizza, Italy.
Fabrizio ZanconatiDipartimento Di Scienze Mediche Chirurgiche E Della Salute, Università Di Trieste, Trieste, Italy.
Pasquale DeloguDipartimento Di Scienze Fisiche, Della Terra E Dell'Ambiente, Università Di Siena, Siena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast Computed Tomography (bCT) is a three-dimensional imaging technique that is raising interest among radiologists as a viable alternative to mammographic planar imaging. In X-rays imaging it would be desirable to maximize the capability of discriminating different tissues, described by the Contrast to Noise Ratio (CNR), while minimizing the dose (i.e. the radiological risk). Both dose and CNR are functions of the X-ray energy. This work aims at experimentally investigating the optimal energy that, at fixed dose, maximizes the CNR between glandular and adipose tissues. Acquisitions of both tissue-equivalent phantoms and actual breast specimens have been performed with the bCT system implemented within the Syrma-3D collaboration at the Syrmep beamline of the Elettra synchrotron (Trieste). The experimental data have been also compared with analytical simulations and the results are in agreement. The CNR is maximized at energies around 26-28 keV. These results are in line with the outcomes of a previously presented simulation study which determined an optimal energy of 28 keV for a large set of breast phantoms with different diameters and glandular fractions. Finally, a study on photon starvation has been carried out to investigate how far the dose can be reduced still having suitable images for diagnostics.

Indexed as

SynchrotronsAlgorithmsComputer SimulationFemaleHumansMammographyPhantoms, ImagingTomography, X-Ray Computed

Identifiers

PMID33060795
PMCPMC7567093

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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.