{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T19:59:15Z","timestamp":1772135955682,"version":"3.50.1"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,11,15]],"date-time":"2021-11-15T00:00:00Z","timestamp":1636934400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2021,11,15]],"date-time":"2021-11-15T00:00:00Z","timestamp":1636934400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001826","name":"ZonMw","doi-asserted-by":"publisher","award":["843001801"],"award-info":[{"award-number":["843001801"]}],"id":[{"id":"10.13039\/501100001826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001826","name":"ZonMw","doi-asserted-by":"publisher","award":["843001801"],"award-info":[{"award-number":["843001801"]}],"id":[{"id":"10.13039\/501100001826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001826","name":"ZonMw","doi-asserted-by":"publisher","award":["843001801"],"award-info":[{"award-number":["843001801"]}],"id":[{"id":"10.13039\/501100001826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006775","name":"GE Healthcare","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006775","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Department of Radiology and Nuclear Medicine of the Maastricht University Medical Center+"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Contrast-enhanced mammography (CEM) has shown to be superior to full-field digital mammography (FFDM), but current results are dominated by studies performed on systems by one vendor. Information on diagnostic accuracy of other CEM systems is limited. Therefore, we aimed to evaluate the diagnostic performance of CEM on an alternative vendor\u2019s system. We included all patients who underwent CEM in one hospital in 2019, except those with missing data or in whom CEM was used as response monitoring tool. Three experienced breast radiologists scored the low-energy images using the BI-RADS classification. Next, the complete CEM exams were scored similarly. Histopathological results or a minimum of one year follow-up were used as reference standard. Diagnostic performance and AUC were calculated and compared between low-energy images and the complete CEM examination, for all readers independently as well as combined. Breast cancer was diagnosed in 23.0% of the patients (35\/152). Compared to low-energy images, overall CEM sensitivity increased from 74.3 to 87.6% (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.0001), specificity from 87.8 to 94.6% (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009=\u20090.0146). AUC increased from 0.872 to 0.957 (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009=\u20090.0001). Performing CEM on the system tested, showed that, similar to earlier studies mainly performed on another vendor\u2019s systems, both sensitivity and specificity improved when compared to FFDM.\n                  <\/jats:p>","DOI":"10.1038\/s41598-021-01622-7","type":"journal-article","created":{"date-parts":[[2021,11,15]],"date-time":"2021-11-15T06:03:36Z","timestamp":1636956216000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["The diagnostic value of contrast-enhanced 2D mammography in everyday clinical use"],"prefix":"10.1038","volume":"11","author":[{"given":"L. M. F. H.","family":"Neeter","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"H. P. J.","family":"Raat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S. 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I.","family":"Lobbes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,11,15]]},"reference":[{"key":"1622_CR1","unstructured":"GE Healthcare. GE Healthcare announces FDA 510(k) clearance of SenoBright Contrast Enhanced Spectral Mammography (CESM) for breast cancer diagnosis. https:\/\/www.ge.com\/news\/press-releases\/ge-healthcare-announces-fda-510k-clearance-senobright-contrast-enhanced-spectral (2011)."},{"key":"1622_CR2","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1148\/radiol.2021201948","volume":"299","author":"MS Jochelson","year":"2021","unstructured":"Jochelson, M. S. & Lobbes, M. B. I. Contrast-enhanced mammography: State of the art. Radiology 299, 36\u201348 (2021).","journal-title":"Radiology"},{"key":"1622_CR3","doi-asserted-by":"publisher","first-page":"W267","DOI":"10.2214\/AJR.17.19355","volume":"211","author":"V Sorin","year":"2018","unstructured":"Sorin, V. et al. Contrast-enhanced spectral mammography in women with intermediate breast cancer risk and dense breasts. AJR. Am. J. Roentgenol. 211, W267\u2013W274 (2018).","journal-title":"AJR. Am. J. Roentgenol."},{"key":"1622_CR4","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1148\/radiol.2019182660","volume":"293","author":"JS Sung","year":"2019","unstructured":"Sung, J. S. et al. Performance of dual-energy contrast-enhanced digital mammography for screening women at increased risk of breast cancer. Radiology 293, 81\u201388 (2019).","journal-title":"Radiology"},{"key":"1622_CR5","doi-asserted-by":"publisher","first-page":"e985","DOI":"10.1016\/j.clbc.2018.06.003","volume":"18","author":"X Zhu","year":"2018","unstructured":"Zhu, X. et al. Diagnostic value of contrast-enhanced spectral mammography for screening breast cancer: Systematic review and meta-analysis. Clin. Breast Cancer 18, e985\u2013e995 (2018).","journal-title":"Clin. Breast Cancer"},{"key":"1622_CR6","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.breast.2020.06.005","volume":"53","author":"MB Suter","year":"2020","unstructured":"Suter, M. B. et al. Diagnostic accuracy of contrast-enhanced spectral mammography for breast lesions: A systematic review and meta-analysis. Breast 53, 8\u201317 (2020).","journal-title":"Breast"},{"key":"1622_CR7","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1186\/s13244-019-0756-0","volume":"10","author":"M Zanardo","year":"2019","unstructured":"Zanardo, M. et al. Technique, protocols and adverse reactions for contrast-enhanced spectral mammography (CESM): A systematic review. 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Low energy mammogram obtained in contrast-enhanced digital mammography (CEDM) is comparable to routine full-field digital mammography (FFDM). Eur. J. Radiol. 83, 1350\u20131355 (2014).","journal-title":"Eur. J. Radiol."},{"key":"1622_CR11","doi-asserted-by":"publisher","first-page":"2813","DOI":"10.1007\/s00330-015-3695-2","volume":"25","author":"UC Lalji","year":"2015","unstructured":"Lalji, U. C. et al. Evaluation of low-energy contrast-enhanced spectral mammography images by comparing them to full-field digital mammography using EUREF image quality criteria. Eur. Radiol. 25, 2813\u20132820 (2015).","journal-title":"Eur. Radiol."},{"key":"1622_CR12","volume-title":"Breast Imaging Reporting and Data System","author":"CJ D\u2019Orsi","year":"2013","unstructured":"D\u2019Orsi, C. J., Sickles, E., Mendelson, E., Morris & E. ACR BI-RADS Atlas, Breast Imaging Reporting and Data System. 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Clinical utility of contrast-enhanced spectral mammography as an adjunct for tomosynthesis-detected architectural distortion. Clin. Imaging 46, 44\u201352 (2017).","journal-title":"Clin. Imaging"},{"key":"1622_CR28","doi-asserted-by":"publisher","first-page":"860","DOI":"10.1111\/tbj.13739","volume":"26","author":"A Petrillo","year":"2020","unstructured":"Petrillo, A. et al. Digital breast tomosynthesis and contrast-enhanced dual-energy digital mammography alone and in combination compared to 2D digital synthetized mammography and MR imaging in breast cancer detection and classification. Breast J. 26, 860\u2013872 (2020).","journal-title":"Breast J."},{"key":"1622_CR29","doi-asserted-by":"publisher","first-page":"2657","DOI":"10.1007\/s00330-020-07395-3","volume":"31","author":"Y Goh","year":"2021","unstructured":"Goh, Y. et al. Architecture distortion score (ADS) in malignancy risk stratification of architecture distortion on contrast-enhanced digital mammography. Eur. 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Monitor bevolkingsonderzoek borstkanker. 1\u20136 https:\/\/www.iknl.nl\/borstkankermonitor (2020)."}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-021-01622-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-021-01622-7","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-021-01622-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,3]],"date-time":"2022-12-03T12:28:22Z","timestamp":1670070502000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-021-01622-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,15]]},"references-count":30,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2021,12]]}},"alternative-id":["1622"],"URL":"https:\/\/doi.org\/10.1038\/s41598-021-01622-7","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-612897\/v1","asserted-by":"object"}]},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11,15]]},"assertion":[{"value":"11 June 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 October 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 November 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"ML received several research grant and speaker\u2019s fees from GE Healthcare, Hologic, Bayer and Guerbet. JW received institutional grants and speaker\u2019s fees from AGFA, Bayer Healthcare, Bard Medical, GE Healthcare, Optimed, Philips Healthcare, Siemens Healthineers. The other authors declare no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"22224"}}