1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

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

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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.

          Related collections

          Most cited references47

          • Record: found
          • Abstract: found
          • Article: not found

          Simultaneous phase and amplitude extraction from a single defocused image of a homogeneous object.

          We demonstrate simultaneous phase and amplitude extraction from a single defocused image of a homogeneous object. Subject to the assumptions explicitly stated in the derivation, the algorithm solves the twin-image problem of in-line holography and is capable of analysing data obtained using X-ray microscopy, electron microscopy, neutron microscopy or visible-light microscopy, especially as they relate to defocus and point projection methods. Our simple, robust, non-iterative and computationally efficient method is applied to data obtained using an X-ray phase contrast ultramicroscope.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Integration of 3D digital mammography with tomosynthesis for population breast-cancer screening (STORM): a prospective comparison study.

            Digital breast tomosynthesis with 3D images might overcome some of the limitations of conventional 2D mammography for detection of breast cancer. We investigated the effect of integrated 2D and 3D mammography in population breast-cancer screening.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Screening for breast cancer.

              Breast cancer screening in community practices may be different from that in randomized controlled trials. New screening modalities are becoming available. To review breast cancer screening, especially in the community and to examine evidence about new screening modalities. English-language articles of randomized controlled trials assessing effectiveness of breast cancer screening were reviewed, as well as meta-analyses, systematic reviews, studies of breast cancer screening in the community, and guidelines. Also, studies of newer screening modalities were assessed. All major US medical organizations recommend screening mammography for women aged 40 years and older. Screening mammography reduces breast cancer mortality by about 20% to 35% in women aged 50 to 69 years and slightly less in women aged 40 to 49 years at 14 years of follow-up. Approximately 95% of women with abnormalities on screening mammograms do not have breast cancer with variability based on such factors as age of the woman and assessment category assigned by the radiologist. Studies comparing full-field digital mammography to screen film have not shown statistically significant differences in cancer detection while the impact on recall rates (percentage of screening mammograms considered to have positive results) was unclear. One study suggested that computer-aided detection increases cancer detection rates and recall rates while a second larger study did not find any significant differences. Screening clinical breast examination detects some cancers missed by mammography, but the sensitivity reported in the community is lower (28% to 36%) than in randomized trials (about 54%). Breast self-examination has not been shown to be effective in reducing breast cancer mortality, but it does increase the number of breast biopsies performed because of false-positives. Magnetic resonance imaging and ultrasound are being studied for screening women at high risk for breast cancer but are not recommended for screening the general population. Sensitivity of magnetic resonance imaging in high-risk women has been found to be much higher than that of mammography but specificity is generally lower. Effect of the magnetic resonance imaging on breast cancer mortality is not known. A balanced discussion of possible benefits and harms of screening should be undertaken with each woman. In the community, mammography remains the main screening tool while the effectiveness of clinical breast examination and self-examination are less. New screening modalities are unlikely to replace mammography in the near future for screening the general population.
                Bookmark

                Author and article information

                Contributors
                vittorio.ditrapani@pi.infn.it
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                15 October 2020
                15 October 2020
                2020
                : 10
                : 17430
                Affiliations
                [1 ]GRID grid.11450.31, ISNI 0000 0001 2097 9138, Dipartimento Di Chimica E Farmacia, , Università Di Sassari, ; Sassari, Italy
                [2 ]GRID grid.470195.e, I.N.F.N. Sezione Di Cagliari, ; Cagliari, Italy
                [3 ]GRID grid.9024.f, ISNI 0000 0004 1757 4641, Dipartimento Di Scienze Fisiche, Della Terra E Dell’Ambiente, , Università Di Siena, ; Siena, Italy
                [4 ]GRID grid.470216.6, I.N.F.N. Sezione Di Pisa, ; Pisa, Italy
                [5 ]GRID grid.5133.4, ISNI 0000 0001 1941 4308, Dipartimento Di Fisica, , Università Di Trieste, ; Trieste, Italy
                [6 ]GRID grid.470223.0, ISNI 0000 0004 1760 7175, I.N.F.N. Sezione Di Trieste, ; Trieste, Italy
                [7 ]GRID grid.7778.f, ISNI 0000 0004 1937 0319, Dipartimento Di Fisica, , Università Della Calabria, ; Cosenza, Italy
                [8 ]GRID grid.463190.9, ISNI 0000 0004 0648 0236, I.N.F.N. Laboratori Nazionali Di Frascati, ; Frascati, Italy
                [9 ]GRID grid.5942.a, ISNI 0000 0004 1759 508X, Elettra-Sincrotrone Trieste SCpA, ; Basovizza, Italy
                [10 ]GRID grid.7763.5, ISNI 0000 0004 1755 3242, Dipartimento Di Fisica, , Università Di Cagliari, ; Cagliari, Italy
                [11 ]GRID grid.4691.a, ISNI 0000 0001 0790 385X, Dipartimento Di Fisica, , Università Di Napoli Federico II, ; Napoli, Italy
                [12 ]GRID grid.470211.1, I.N.F.N. Sezione Di Napoli, ; Napoli, Italy
                [13 ]GRID grid.8484.0, ISNI 0000 0004 1757 2064, Dipartimento Di Fisica E Scienze Della Terra, , Università Di Ferrara, ; Ferrara, Italy
                [14 ]GRID grid.470200.1, ISNI 0000 0004 1765 4414, I.N.F.N. Sezione Di Ferrara, ; Ferrara, Italy
                [15 ]GRID grid.5133.4, ISNI 0000 0001 1941 4308, Dipartimento Di Scienze Mediche Chirurgiche E Della Salute, , Università Di Trieste, ; Trieste, Italy
                Article
                74607
                10.1038/s41598-020-74607-7
                7567093
                33060795
                ae2b889c-0380-4ca0-ba4b-778f94772910
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 20 April 2020
                : 30 September 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004007, Instituto Nazionale di Fisica Nucleare;
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                biological physics,imaging techniques
                Uncategorized
                biological physics, imaging techniques

                Comments

                Comment on this article