{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,26]],"date-time":"2025-07-26T09:08:23Z","timestamp":1753520903489,"version":"3.40.5"},"reference-count":42,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2019,12,24]],"date-time":"2019-12-24T00:00:00Z","timestamp":1577145600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81627804","81830058"],"award-info":[{"award-number":["81627804","81830058"]}],"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":[[2020,6]]},"abstract":"<jats:sec><jats:title>Objectives<\/jats:title><jats:p>To investigate the value of ultrasound (US) feature\u2010based models in predicting the proliferation and invasiveness of invasive breast cancer (IBC) and to compare the performance of models based solely on US features with models that combined US features, patient age, tumor size, and axilla status from US.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>With ethical approval, 746 patients with a pathologic diagnosis of IBC were reviewed for preoperative clinical, US, and postoperative pathologic data. The proliferation and invasiveness properties of the IBC included the histologic grade and Ki\u201067 status and lymphovascular invasion (LVI) and axillary lymph node metastasis (ALNM), respectively. Logistic regression analyses were used to identify independent risk factors for tumor proliferation and invasiveness.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Posterior echo enhancement, calcification, a tumor size larger than 2 cm, and suspicion of ALNM from axillary US were independent risk factors for a high histologic grade and high Ki\u201067 expression of IBC (<jats:italic>P<\/jats:italic> &lt; .05). A posterior echo shadow, patient age younger than 45\u2009years, and suspicious findings on axillary US imaging were independent variables for predicting the presence of LVI and ALNM in IBC (<jats:italic>P<\/jats:italic> &lt; .05). Calcification was the independent factor for predicting LVI (<jats:italic>P<\/jats:italic> = .013). The predictive performance of the combined models was improved compared with the US feature\u2010based models, with a higher accuracy rate and negative predictive value. The area under curve of the combined models was also significantly higher than that of the single models (<jats:italic>P<\/jats:italic> &lt; .05).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Compared with the US feature\u2010based models, the combined models yielded better predictive performance. This may provide a more robust model to predict the tumor biological properties of IBC before surgery.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jum.15196","type":"journal-article","created":{"date-parts":[[2019,12,25]],"date-time":"2019-12-25T04:20:10Z","timestamp":1577247610000},"page":"1125-1134","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["The Association Between Ultrasound Features and Biological Properties of Invasive Breast Carcinoma Is Modified by Age, Tumor Size, and the Preoperative Axilla Status"],"prefix":"10.1002","volume":"39","author":[{"given":"Yu\u2010yang","family":"Tong","sequence":"first","affiliation":[{"name":"Department of Medical Ultrasound, Fudan University Shanghai Cancer Center, and Department of Oncology, Shanghai Medical College Fudan University  Shanghai China"},{"name":"Department of Surgical Oncology The Ohio State University  Columbus Ohio 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