{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T18:14:31Z","timestamp":1780078471360,"version":"3.54.0"},"reference-count":26,"publisher":"Oxford University Press (OUP)","issue":"1092","license":[{"start":{"date-parts":[[2018,8,29]],"date-time":"2018-08-29T00:00:00Z","timestamp":1535500800000},"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":[[2018,12,1]]},"abstract":"<jats:sec>\n                  <jats:title>Objective:<\/jats:title>\n                  <jats:p>Although axillary imaging has recently received renewed interest for preoperative staging in tandem with the evolving minimally invasive surgical approaches, axillary imaging is limited by the lack of standardization in the interpretation. We aimed to classify imaging features in ultrasound and MRI into quantitative and semantic features and evaluate predictive value of each feature for predicting nodal metastases.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods:<\/jats:title>\n                  <jats:p>A total of 316 breast cancers patients who underwent ultrasound and MRI prior to axillary surgery were included. Retrospective reviews of our breastimaging database were done for the quantitative features [cortical thickness (CT) and CT-derived parameters, long diameter (LD), short diameter (SD), and LD\/SD ratio] and semantic features (eccentricity, loss of fatty hilum, and irregularity) of the axillary lymph node in images. Odd ratios (ORs) for each imaging feature were calculated with adjustment for clinicopathological characteristics significantly associated with nodal metastases.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results:<\/jats:title>\n                  <jats:p>All CT-derived parameters were significantly associated with nodal metastases in both ultrasound and MRI (OR, 3.3\u20133.5 for ultrasound and 3.3\u20133.9 for MRI, respectively; Ps &amp;lt; .05). For the ultrasound, LD\/SD ratio (OR, 2.1), eccentricity (OR, 2.4), and fatty hilum loss (OR, 27.2) were significantly associated with nodal metastases (Ps &amp;lt; .05). For the MRI, SD (OR, 2.1) and eccentricity (OR, 3.0) were significantly associated with nodal metastases (Ps &amp;lt; .05).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion:<\/jats:title>\n                  <jats:p>Among the quantitative features, all CT-derived parameters can be used for predicting nodal metastases. Significant predictors of semantic features were heterogeneous between ultrasound and MRI.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Advances in knowledge:<\/jats:title>\n                  <jats:p>(1) Imaging features of ultrasound and MRI for preoperative axillary nodal staging can be classified into quantitative and semantic features. (2) Predictive values of each imaging features are heterogeneous for predicting nodal metastases.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1259\/bjr.20180507","type":"journal-article","created":{"date-parts":[[2018,7,30]],"date-time":"2018-07-30T17:11:24Z","timestamp":1532970684000},"source":"Crossref","is-referenced-by-count":13,"title":["Preoperative axillary nodal staging with ultrasound and magnetic resonance imaging: predictive values of quantitative and semantic features"],"prefix":"10.1093","volume":"91","author":[{"given":"Won Hwa","family":"Kim","sequence":"first","affiliation":[{"name":"Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital , Daegu , South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hye Jung","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital , Daegu , South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"So Mi","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital , Daegu , South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seung Hyun","family":"Cho","sequence":"additional","affiliation":[{"name":"Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital , Daegu , South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kyung Min","family":"Shin","sequence":"additional","affiliation":[{"name":"Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital , Daegu , South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sang Yub","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital , Daegu , South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jae Kwang","family":"Lim","sequence":"additional","affiliation":[{"name":"Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital , Daegu , South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Won Kee","family":"Lee","sequence":"additional","affiliation":[{"name":"Center of Biostatistics, School of Medicine, Kyungpook National University , Daegu , South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2018,8,29]]},"reference":[{"key":"2024050214301312500_b1","doi-asserted-by":"crossref","first-page":"941","DOI":"10.1056\/NEJM199810013391401","article-title":"The sentinel node in breast cancer-a multicenter validation study","volume":"339","author":"Krag","year":"1998","journal-title":"N Engl J Med"},{"key":"2024050214301312500_b2","doi-asserted-by":"crossref","first-page":"3369","DOI":"10.1245\/s10434-014-3853-9","article-title":"The promise of axillary imaging in individualized surgical management of breast cancer patients: another step forward","volume":"21","author":"Hieken","year":"2014","journal-title":"Ann Surg Oncol"},{"key":"2024050214301312500_b3","doi-asserted-by":"crossref","first-page":"738","DOI":"10.1245\/s10434-010-1347-y","article-title":"Impact of preoperative ultrasonography and fine-needle aspiration of axillary lymph nodes on surgical management of primary breast cancer","volume":"18","author":"Park","year":"2011","journal-title":"Ann Surg Oncol"},{"key":"2024050214301312500_b4","doi-asserted-by":"crossref","first-page":"1073","DOI":"10.1007\/s00330-015-3901-2","article-title":"The impact of preoperative axillary ultrasonography in T1 breast tumours","volume":"26","author":"del Riego","year":"2016","journal-title":"Eur Radiol"},{"key":"2024050214301312500_b5","doi-asserted-by":"crossref","first-page":"1807","DOI":"10.1148\/rg.347130141","article-title":"To do or not to do: axillary nodal evaluation after ACOSOG Z0011 trial","volume":"34","author":"Humphrey","year":"2014","journal-title":"Radiographics"},{"key":"2024050214301312500_b6","doi-asserted-by":"crossref","first-page":"1230","DOI":"10.1016\/j.mri.2014.07.001","article-title":"Diagnostic value of breast MRI for predicting metastatic axillary lymph nodes in breast cancer patients: diffusion-weighted MRI and conventional MRI","volume":"32","author":"Kim","year":"2014","journal-title":"Magn Reson Imaging"},{"key":"2024050214301312500_b7","doi-asserted-by":"crossref","first-page":"678","DOI":"10.1016\/j.breast.2012.06.013","article-title":"Abandoning sentinel lymph node biopsy in early breast cancer? 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