{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,26]],"date-time":"2026-05-26T03:03:46Z","timestamp":1779764626030,"version":"3.53.1"},"reference-count":31,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T00:00:00Z","timestamp":1771459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/501100011699","name":"Siemens Healthineers","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100011699","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,5,26]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This pilot study aimed to evaluate whether segmented coronal breast maximum intensity projection (MIP) images generated from contrast-enhanced CT (CE-CT) could improve the detectability of breast lesions incidentally visualized in clinical settings where the breast is not the primary imaging target.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This retrospective study included 71 patients with breast cancer who underwent CE-CT for preoperative staging before surgery. Three radiologists independently assessed the presence or absence of breast lesions using a 3-tiered scoring system on both segmented coronal breast MIP and 5-mm axial images. Reading times were recorded. Readers then compared paired breast MIP and axial images and indicated which reconstruction type was more effective for breast lesion detection. The Wilcoxon signed-rank test with Bonferroni correction was used to compare reading times, and the McNemar-Bowker test was used to compare 3\u2013tiered lesion detectability scores.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Segmented coronal breast MIP images were read faster than axial images by 2 of the 3 readers (median [interquartile range]: 4 [4-7] vs 9 [8-11] seconds and 3 [2-6] vs 11 [9-14.5] seconds; P &amp;lt; .001). No significant difference was found for the third reader (P = .446). For lesion detectability, breast MIP images were significantly superior to axial images for reader 1 (P = .029), reader 2 (P = .043), and reader 3 (P = .004). Breast MIP images were preferred in 76.1% (54\/71), 95.8% (68\/71), and 83.1% (59\/71) of cases, respectively.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Segmented coronal breast MIP images from CE-CT may improve lesion detectability and reduce interpretation time compared with conventional axial images.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/jbi\/wbaf078","type":"journal-article","created":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T13:12:23Z","timestamp":1763557943000},"page":"289-297","source":"Crossref","is-referenced-by-count":0,"title":["Segmented Coronal Breast Maximum Intensity Projection Images Derived From Contrast-Enhanced Chest Computed Tomography: A Proof-of-Concept Study on Cancer Detectability"],"prefix":"10.1093","volume":"8","author":[{"given":"Bolortuya","family":"Khurelbaatar","sequence":"first","affiliation":[{"name":"Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine , Maebashi ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5541-3847","authenticated-orcid":false,"given":"Soma","family":"Kumasaka","sequence":"additional","affiliation":[{"name":"Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine , Maebashi ,","place":["Japan"]},{"name":"Radiological Sciences, School of Medicine, University of Nottingham , Nottingham ,","place":["United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yusuke","family":"Sato","sequence":"additional","affiliation":[{"name":"Department of Radiology, Gunma University Hospital , Maebashi ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takayuki","family":"Yokota","sequence":"additional","affiliation":[{"name":"Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine , Maebashi ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miho","family":"Yoshimatsu","sequence":"additional","affiliation":[{"name":"Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine , Maebashi ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tomokazu","family":"Takeuchi","sequence":"additional","affiliation":[{"name":"Department of Radiology, Gunma University Hospital , Maebashi ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yasuhiro","family":"Fukushima","sequence":"additional","affiliation":[{"name":"Department of Applied Medical Imaging, Gunma University Graduate School of Medicine , Maebashi ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daisuke","family":"Ozaki","sequence":"additional","affiliation":[{"name":"Department of Radiology, Gunma University Hospital , Maebashi ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6889-1570","authenticated-orcid":false,"given":"Yoshito","family":"Tsushima","sequence":"additional","affiliation":[{"name":"Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine , Maebashi ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2026,2,19]]},"reference":[{"key":"2026052522520826100_wbaf078-B1","doi-asserted-by":"publisher","first-page":"1154","DOI":"10.1038\/s41591-025-03502-3","article-title":"Global patterns and trends in breast cancer incidence and mortality across 185 countries","author":"Kim","year":"2025"},{"issue":"4","key":"2026052522520826100_wbaf078-B2","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1053\/j.sult.2011.03.003","article-title":"Emerging techniques and molecular imaging in breast cancer","volume":"32","author":"Yang","year":"2011","journal-title":"Semin Ultrasound CT MR"},{"issue":"15","key":"2026052522520826100_wbaf078-B3","doi-asserted-by":"publisher","first-page":"1599","DOI":"10.1001\/jama.2015.12783","article-title":"American Cancer Society. 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