{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T12:37:21Z","timestamp":1786451841120,"version":"build-2736575974"},"reference-count":23,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T00:00:00Z","timestamp":1770768000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T00:00:00Z","timestamp":1770768000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To quantify and compare the energy consumption of standard digital mammography (DM) and contrast-enhanced mammography (CEM), assess differences across manufacturers, and identify strategies to improve energy efficiency.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and methods<\/jats:title>\n                    <jats:p>This prospective study measured direct energy consumption from three mammography systems across two vendors in a tertiary breast care centre. In total, 193 examinations were analysed: 79 on Machine A, 92 on Machine B, and 22 CEM exams on Machine C. Minute-by-minute power monitoring provided net and gross energy per exam. A multivariable regression model adjusted for machine type, exam characteristics, and patient variables. Daily-level analyses evaluated baseload energy relative to workload, and annual energy use was estimated via Monte Carlo simulations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Machine B consumed more net energy per exam but achieved the lowest gross energy use due to minimal standby power. Machine A showed lower net but higher gross energy, primarily from greater idle consumption. Machine C had comparable net energy to A but higher gross energy per exam as a consequence of fewer daily exams. Machine type was the dominant determinant of energy use, while exam type, breast thickness, and density had no significant impact. Higher daily exam volumes improved energy efficiency across all systems, particularly for C. Annual energy estimates ranged from ~1660 to 2300\u2009kWh per machine, with B consistently most efficient.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Mammography exhibits modest energy consumption, largely driven by standby operation rather than imaging activity. Vendor-specific differences exist, but DM and CEM show comparable net energy use.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Key Points<\/jats:title>\n                    <jats:p>\n                      <jats:bold>\n                        <jats:italic>Question<\/jats:italic>\n                      <\/jats:bold>\n                      <jats:italic>Measure the energy use of standard digital and CEM, evaluate energy efficiency across vendors, and identify ways to reduce energy consumption<\/jats:italic>\n                      .\n                    <\/jats:p>\n                    <jats:p>\n                      <jats:bold>\n                        <jats:italic>Findings<\/jats:italic>\n                      <\/jats:bold>\n                      <jats:italic>Mammography uses relatively little energy, mostly during idle time; energy efficiency varies by manufacturer, and CEM does not increase net energy demand<\/jats:italic>\n                      .\n                    <\/jats:p>\n                    <jats:p>\n                      <jats:bold>\n                        <jats:italic>Clinical relevance<\/jats:italic>\n                      <\/jats:bold>\n                      <jats:italic>Optimizing scheduling appointments, powering down machines after hours, and considering vendor efficiency can significantly cut the environmental footprint of breast imaging without compromising patient care<\/jats:italic>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00330-026-12373-2","type":"journal-article","created":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T15:12:44Z","timestamp":1770822764000},"page":"5607-5615","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Energy consumption of standard and contrast-enhanced mammography: a step towards sustainable breast imaging"],"prefix":"10.1007","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-7910-1267","authenticated-orcid":false,"given":"Gabriele","family":"Rossini","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kieran","family":"Lockey","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maxime","family":"Rokoszak","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcella","family":"Pasculli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carla","family":"Benstead","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fleur","family":"Kilburn-Toppin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard","family":"Hales","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jan","family":"Vosshenrich","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ferdia A.","family":"Gallagher","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manuel","family":"Signorini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elisabetta","family":"Giannotti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,2,11]]},"reference":[{"key":"12373_CR1","unstructured":"World Health Organization (2023) Climate change. 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Gallagher is a member of the European Radiology Editorial Board, and as such, they have not participated in the review or selection process of this article. Jan Vosshenrich is a member of the European Radiology Editorial Board, and as such, they have not participated in the review or selection process of this article.","order":2,"name":"Ethics","label":"Conflict of interest","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"All statistical analyses were conducted in Python (v3.10). Continuous variables are reported as means with standard deviations or medians with interquartile ranges, as appropriate. Group comparisons were performed using one-way ANOVA or Kruskal\u2013Wallis tests with pairwise post-hoc comparisons adjusted for multiplicity. Effect sizes are provided to complement\n                      p\n                      -values. Multivariable linear regression with robust standard errors was applied to assess independent predictors of energy consumption, and cluster bootstrapping (2000 replicates) was used to test robustness. Annual energy consumption was estimated via Monte Carlo simulation (10,000 iterations). A two-sided significance level of\n                      p\n                      \u2009<\u20090.05 was considered statistically significant.","order":3,"name":"Ethics","label":"Statistics and biometry","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The study was registered as a service evaluation, and approval was obtained from the Quality and Safety Information System Clinical Audit Team. (PRN13056; ID: 7056). As this was an observational study without any intervention, formal ethics approval and individual patient consent were not deemed necessary.","order":4,"name":"Ethics","label":"Ethical approval and Informed consent","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"There is no overlap of study subjects or cohorts with previously published studies.","order":5,"name":"Ethics","label":"Study subjects or cohorts overlap","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"order":6,"name":"Ethics","label":"Methodology","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}}]}}