{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,18]],"date-time":"2026-10-18T04:03:39Z","timestamp":1792296219212,"version":"4.4.0"},"reference-count":26,"publisher":"Oxford University Press (OUP)","issue":"1124","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BJR"],"published-print":{"date-parts":[[2021,8,1]]},"abstract":"<jats:sec><jats:title>Objective:<\/jats:title><jats:p> To explore the potential factors related to the pathological grade of breast phyllodes tumors (PTs) and to establish a nomogram to improve their differentiation ability. <\/jats:p><\/jats:sec><jats:sec><jats:title>Methods:<\/jats:title><jats:p> Patients with PTs diagnosed by post-operative pathology who underwent pretreatment magnetic resonance imaging (MRI) from January 2015 to June 2020 were retrospectively reviewed. Traditional clinical features and MRI features evaluated according to the fifth BI-RADS were analyzed by statistical methods and introduced to a stepwise multivariate logistic regression analysis to develop a prediction model. Then, a nomogram was developed to graphically predict the probability of non-benign (borderline\/malignant) PTs. <\/jats:p><\/jats:sec><jats:sec><jats:title>Results:<\/jats:title><jats:p> Finally, 61 benign, 73 borderline and 48 malignant PTs were identified in 182 patients. Family history of tumor, diameter, lobulation, cystic component, signal on fat saturated T<jats:sub>2<\/jats:sub> weighted imaging (FS T<jats:sub>2<\/jats:sub>WI), BI-RADS category and time\u2013signal intensity curve (TIC) patterns were found to be significantly different between benign and non-benign PTs. The nomogram was finally developed based on five risk factors: family history of tumor, lobulation, cystic component, signal on FS T<jats:sub>2<\/jats:sub>WI and internal enhancement. The AUC of the nomogram was 0.795 (95% CI: 0.639, 0.835). <\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion:<\/jats:title><jats:p> Family history of tumor, lobulation, cystic components, signals on FS T<jats:sub>2<\/jats:sub>WI and internal enhancement are independent predictors of non-benign PTs. The prediction nomogram developed based on these features can be used as a supplemental tool to pre-operatively differentiate PTs grades. <\/jats:p><\/jats:sec><jats:sec><jats:title>Advances in knowledge:<\/jats:title><jats:p> More sample size and characteristics were used to explore the factors related to the pathological grade of PTs and establish a predictive nomogram for the first time. <\/jats:p><\/jats:sec>","DOI":"10.1259\/bjr.20210342","type":"journal-article","created":{"date-parts":[[2021,7,8]],"date-time":"2021-07-08T08:53:01Z","timestamp":1625734381000},"page":"20210342","source":"Crossref","is-referenced-by-count":6,"title":["Predicting the pathological grade of breast phyllodes tumors: a nomogram based on clinical and magnetic resonance imaging features"],"prefix":"10.1093","volume":"94","author":[{"given":"Xiaowen","family":"Ma","sequence":"first","affiliation":[{"name":"Department of Radiology, Fudan University Shanghai Cancer Center, Xuhui, Shanghai, China"},{"name":"Department of Oncology, Fudan University Shanghai Cancer Center, Xuhui, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lijuan","family":"Shen","sequence":"additional","affiliation":[{"name":"Department of Radiology, Fudan University Shanghai Cancer Center, Xuhui, Shanghai, China"},{"name":"Department of Nuclear Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feixiang","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Radiology, Fudan University Shanghai Cancer Center, Xuhui, Shanghai, China"},{"name":"Department of Oncology, Fudan University Shanghai Cancer Center, Xuhui, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Tang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Fudan University Shanghai Cancer Center, Xuhui, Shanghai, China"},{"name":"Department of Oncology, Fudan University Shanghai Cancer Center, Xuhui, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yajia","family":"Gu","sequence":"additional","affiliation":[{"name":"Department of Radiology, Fudan University Shanghai Cancer Center, Xuhui, Shanghai, China"},{"name":"Department of Oncology, Fudan University Shanghai Cancer Center, Xuhui, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weijun","family":"Peng","sequence":"additional","affiliation":[{"name":"Department of Radiology, Fudan University Shanghai Cancer Center, Xuhui, Shanghai, China"},{"name":"Department of Oncology, Fudan University Shanghai Cancer Center, Xuhui, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","reference":[{"key":"b1","doi-asserted-by":"publisher","DOI":"10.1111\/tbj.13523"},{"key":"b2","volume-title":"World Health Organization Classification of Tumours of the Breast","author":"Lakhani SE","year":"2012"},{"key":"b3","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.17.18554"},{"key":"b4","doi-asserted-by":"publisher","DOI":"10.1177\/0846537119899553"},{"key":"b5","doi-asserted-by":"publisher","DOI":"10.1111\/tbj.12623"},{"key":"b6","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2413051470"},{"key":"b7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2011.01.085"},{"key":"b8","first-page":"2083","volume":"12","author":"Ma W","year":"2020","journal-title":"Am J Transl Res"},{"key":"b9","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2007.12.9791"},{"key":"b10","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.7837"},{"key":"b11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2019.108658"},{"key":"b12","doi-asserted-by":"publisher","DOI":"10.1111\/tbj.13340"},{"key":"b13","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-018-5981-2"},{"key":"b14","doi-asserted-by":"publisher","DOI":"10.1016\/j.breast.2019.05.015"},{"key":"b15","volume-title":"ACR BI-RADS atlas, breast imaging reporting and data system","author":"Sickles EA","year":"2013"},{"key":"b16","volume-title":"Classification of Tumours Editorial Board. 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