{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T14:36:17Z","timestamp":1787236577038,"version":"build-2736575974"},"reference-count":37,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2017,11,9]],"date-time":"2017-11-09T00:00:00Z","timestamp":1510185600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81630048"],"award-info":[{"award-number":["81630048"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81271647"],"award-info":[{"award-number":["81271647"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81071216"],"award-info":[{"award-number":["81071216"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81701705"],"award-info":[{"award-number":["81701705"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Ultrasound Medicine"],"published-print":{"date-parts":[[2018,6]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>The purpose of this study was to assess the clinical value of ultrasound (US) features of breast lesions for predicting the risk of axillary lymph node metastasis in patients with breast cancer.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In this retrospective study, 425 patients with breast cancer were recruited, and their preoperative US features and postoperative pathologic results were collected. The association of these US features of breast cancer with axillary lymph node metastasis was determined by univariate and multivariate analyses.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Among the 425 patients, 200 (47.1%) had axillary lymph node metastasis, and 225 (52.9%) did not. The parameters of tumor shape, color Doppler flow imaging grades, histologic grade, and E\u2010cadherin level were significantly and independently associated with axillary lymph node metastasis (\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u2009.05 for all).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Axillary lymph node metastasis was prone to happen in patients with US features of an irregular tumor shape and higher color Doppler flow imaging grades. Ultrasound imaging provides a promising tool for predicting axillary lymph node metastasis in patients with breast cancer.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jum.14469","type":"journal-article","created":{"date-parts":[[2017,11,9]],"date-time":"2017-11-09T01:36:37Z","timestamp":1510191397000},"page":"1354-1353","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":64,"title":["Ultrasound Features of Breast Cancer for Predicting Axillary Lymph Node Metastasis"],"prefix":"10.1002","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4167-6368","authenticated-orcid":false,"given":"Qiang","family":"Guo","sequence":"first","affiliation":[{"name":"Department of Ultrasound Medicine Second Affiliated Hospital of Harbin Medical University Harbin China"},{"name":"Departments of Ultrasound Medicine Jinshan Branch of Shanghai Sixth People's Hospital affiliated with Shanghai Jiaotong University Shanghai 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