{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T01:19:15Z","timestamp":1771982355861,"version":"3.50.1"},"reference-count":33,"publisher":"Oxford University Press (OUP)","issue":"1075","license":[{"start":{"date-parts":[[2017,6,16]],"date-time":"2017-06-16T00:00:00Z","timestamp":1497571200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,7,1]]},"abstract":"<jats:sec>\n                  <jats:title>Objective:<\/jats:title>\n                  <jats:p>Motion blur is a known phenomenon in full-field digital mammography, but the impact on lesion detection is unknown. This is the first study to investigate detection performance with varying magnitudes of simulated motion blur.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods:<\/jats:title>\n                  <jats:p>7 observers (15\u2009\u00b1\u20095 years' reporting experience) evaluated 248 cases (62 containing malignant masses, 62 containing malignant microcalcifications and 124 normal cases) for 3 conditions: no blurring (0\u2009mm) and 2 magnitudes of simulated blurring (0.7 and 1.5\u2009mm). Abnormal cases were biopsy proven. Mathematical simulation was used to provide a pixel shift in order to simulate motion blur. A free-response observer study was conducted to compare lesion detection performance for the three conditions. The equally weighted jackknife alternative free-response receiver operating characteristic was used as the figure of merit. Test alpha was set at 0.05 to control probability of Type I error.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results:<\/jats:title>\n                  <jats:p>The equally weighted jackknife alternative free-response receiver operating characteristic analysis found a statistically significant difference in lesion detection performance for both masses [F(2,22)\u2009=\u20096.01, p\u2009=\u20090.0084] and microcalcifications [F(2,49)\u2009=\u200923.14, p\u2009&amp;lt;\u20090.0001]. The figures of merit reduced as the magnitude of simulated blurring increased. Statistical differences were found between some of the pairs investigated for the detection of masses (0.0 vs 0.7 and 0.0 vs 1.5\u2009mm) and all pairs for microcalcifications (0.0 vs 0.7, 0.0 vs 1.5 and 0.7 vs 1.5\u2009mm). No difference was detected between 0.7 and 1.5\u2009mm for masses.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion:<\/jats:title>\n                  <jats:p>The mathematical simulation of motion blur caused a statistically significant reduction in lesion detection performance. These false-negative decisions could have implications for clinical practice.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Advances in knowledge:<\/jats:title>\n                  <jats:p>This research demonstrates for the first time that motion blur has a negative and statistically significant impact on lesion detection performance in digital mammography.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1259\/bjr.20160871","type":"journal-article","created":{"date-parts":[[2017,5,16]],"date-time":"2017-05-16T11:05:45Z","timestamp":1494932745000},"source":"Crossref","is-referenced-by-count":11,"title":["The impact of simulated motion blur on lesion detection performance in full-field digital mammography"],"prefix":"10.1093","volume":"90","author":[{"given":"Ahmed K","family":"Abdullah","sequence":"first","affiliation":[{"name":"University of Diyala, Baqubah, Diyala, Iraq"},{"name":"Directorate of Radiography, University of Salford, Greater Manchester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Judith","family":"Kelly","sequence":"additional","affiliation":[{"name":"Chester Breast Imaging Unit, Countess of Chester Hospital NHS Foundation Trust, Chester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John D","family":"Thompson","sequence":"additional","affiliation":[{"name":"Directorate of Radiography, University of Salford, Greater Manchester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claire E","family":"Mercer","sequence":"additional","affiliation":[{"name":"Directorate of Radiography, University of Salford, Greater Manchester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rob","family":"Aspin","sequence":"additional","affiliation":[{"name":"School of Computing, Science and Engineering, University of Salford, Greater Manchester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"Hogg","sequence":"additional","affiliation":[{"name":"Directorate of Radiography, University of Salford, Greater Manchester, UK"},{"name":"Karolinska Institute, Stockholm, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2017,6,16]]},"reference":[{"key":"2024050213523583500_b1","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1148\/radiol.2512081235","article-title":"Full-field digital versus screen-film mammography: comparison within the UK breast screening program and systematic review of published data","volume":"251","author":"Vinnicombe","year":"2009","journal-title":"Radiology"},{"key":"2024050213523583500_b2","doi-asserted-by":"crossref","first-page":"1010","DOI":"10.2214\/AJR.08.2157","article-title":"Comparison of digital mammography and screen-film mammography in breast cancer screening: a review in the Irish Breast 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