{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T17:43:47Z","timestamp":1790358227398,"version":"4.1.0"},"reference-count":40,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2018,2,9]],"date-time":"2018-02-09T00:00:00Z","timestamp":1518134400000},"content-version":"am","delay-in-days":365,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#am"},{"start":{"date-parts":[[2017,2,9]],"date-time":"2017-02-09T00:00:00Z","timestamp":1486598400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["1R01EB021360"],"award-info":[{"award-number":["1R01EB021360"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["5R01CA185138\u201002"],"award-info":[{"award-number":["5R01CA185138\u201002"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000005","name":"U.S. Department of Defense","doi-asserted-by":"publisher","award":["BC132057"],"award-info":[{"award-number":["BC132057"]}],"id":[{"id":"10.13039\/100000005","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100005562","name":"North Carolina Biotechnology Center","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100005562","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2017,11]]},"abstract":"<jats:sec><jats:title>Purpose<\/jats:title><jats:p>To assess the ability of algorithmically assessed magnetic resonance imaging (MRI) features to predict the likelihood of upstaging to invasive cancer in newly diagnosed ductal carcinoma in situ (DCIS).<\/jats:p><\/jats:sec><jats:sec><jats:title>Materials and Methods<\/jats:title><jats:p>We identified 131 patients at our institution from 2000\u20132014 with a core needle biopsy\u2010confirmed diagnosis of pure DCIS, a 1.5 or 3T preoperative bilateral breast MRI with nonfat\u2010saturated <jats:italic>T<\/jats:italic><jats:sub>1<\/jats:sub>\u2010weighted MRI sequences, no preoperative therapy before breast MRI, and no prior history of breast cancer. A fellowship\u2010trained radiologist identified the lesion on each breast MRI using a bounding box. Twenty\u2010nine imaging features were then computed automatically using computer algorithms based on the radiologist's annotation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The rate of upstaging of DCIS to invasive cancer in our study was 26.7% (35\/131). Out of all imaging variables tested, the information measure of correlation 1, which quantifies spatial dependency in neighboring voxels of the tumor, showed the highest predictive value of upstaging with an area under the curve (AUC)\u2009=\u20090.719 (95% confidence interval [CI]: 0.609\u20130.829). This feature was statistically significant after adjusting for tumor size (<jats:italic>P<\/jats:italic> &lt; 0.001).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Automatically assessed MRI features may have a role in triaging which patients with a preoperative diagnosis of DCIS are at highest risk for occult invasive disease.<\/jats:p><jats:p><jats:bold>Level of Evidence:<\/jats:bold> 4<\/jats:p><jats:p><jats:bold>Technical Efficacy:<\/jats:bold> Stage 3<\/jats:p><jats:p>J. Magn. Reson. Imaging 2017;46:1332\u20131340.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.25655","type":"journal-article","created":{"date-parts":[[2017,2,9]],"date-time":"2017-02-09T07:16:49Z","timestamp":1486624609000},"page":"1332-1340","source":"Crossref","is-referenced-by-count":28,"title":["Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?"],"prefix":"10.1002","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8002-5210","authenticated-orcid":false,"given":"Michael R.","family":"Harowicz","sequence":"first","affiliation":[{"name":"Department of Radiology Duke University School of Medicine, Duke University Durham North Carolina USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ashirbani","family":"Saha","sequence":"additional","affiliation":[{"name":"Department of Radiology Duke University School of Medicine, Duke University Durham North Carolina USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lars J.","family":"Grimm","sequence":"additional","affiliation":[{"name":"Department of Radiology Duke University School of Medicine, Duke University Durham North Carolina USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P. 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