{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T13:45:38Z","timestamp":1777988738423,"version":"3.51.4"},"reference-count":31,"publisher":"Oxford University Press (OUP)","issue":"1174","license":[{"start":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T00:00:00Z","timestamp":1754352000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>To evaluate the value of multiparameter MRI (mp-MRI) including conventional MRI image features, diffusion-weighted imaging (DWI) and dynamic contrast-enhanced MRI (DCE-MRI) in differentiating borderline from malignant ovarian epithelial tumors (OETs).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>Forty-three patients with borderline OETs (BOETs) and 119 patients with malignant OETs (MOETs) who underwent mp-MRI examinations for pre-treatment assessment were respectively enrolled. Conventional MRI features (eg, tumor shape, configuration, signal intensity [SI] on T1WI and T2WI) were retrospectively analyzed. Apparent diffusion coefficient (ADC), and DCE-MRI derived parameters (rel-enhancement [RELENH], time to peak [TTP], wash-in-rate [WIR], and wash-out-rate [WOR]) were evaluated. Independent samples t-test, Mann-Whitney U test, \u03c72 test, multivariate logistic regression analysis, binary logistic regression, and receiver operating characteristic (ROC) curve analyses were employed as appropriate.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>BOETs group showed significantly lower age than MOETs group (P\u2009&amp;lt;\u2009.001). Multivariate logistic regression analysis indicated that tumor configuration was the independent imaging features associated with MOETs (P\u2009&amp;lt;\u2009.001). BOETs group showed significantly higher ADC value than MOETs group (P\u2009&amp;lt;\u2009.001). Among DCE-MRI derived parameters, MOETs group showed significantly shorter TTP than BOETs (P\u2009=\u2009.014). ROC analyses indicated that a combination of age \u2265 43.5\u2009years old + non-cystic predominant type + ADC \u2264 1.05\u2009\u00d7\u200910\u22123 mm2\/s + TTP \u2264 238.87\u2009s showed the highest efficiency (AUC, 0.930; sensitivity, 84.9%; specificity, 86.0%) in diagnosing MOETs, which was significantly higher than that of age (P\u2009=\u2009.002), configuration (P\u2009&amp;lt;\u2009.001), ADC (P\u2009=\u2009.027), and TTP (P\u2009&amp;lt;\u2009.001) alone.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>mp-MRI might be effective in differentiating MOETs from BOETs.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Advances in knowledge<\/jats:title>\n                  <jats:p>The study which combining conventional MRI, DWI, and DCE-MRI for differentiating BOETs from MOETs is still lacked until now. What is more, the study may be more accurate for the differentiation of borderline malignancy or low-grade malignant potential tumors.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bjr\/tqaf188","type":"journal-article","created":{"date-parts":[[2025,8,12]],"date-time":"2025-08-12T17:15:14Z","timestamp":1755018914000},"page":"1706-1712","source":"Crossref","is-referenced-by-count":1,"title":["Borderline and malignant ovarian epithelial tumors: differentiating using multiparameter MRI"],"prefix":"10.1093","volume":"98","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-1723-637X","authenticated-orcid":false,"given":"Xin-Lu","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Radiology, Women\u2019s Hospital of Nanjing Medical University (Nanjing Women and Children\u2019s Healthcare Hospital) , Nanjing, 210004, People\u2019s Republic of","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hai-Lei","family":"Gu","sequence":"additional","affiliation":[{"name":"Department of Radiology, Women\u2019s Hospital of Nanjing Medical University (Nanjing Women and Children\u2019s Healthcare Hospital) , Nanjing, 210004, People\u2019s Republic of","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhong-Fu","family":"Tian","sequence":"additional","affiliation":[{"name":"Department of Radiology, Women\u2019s Hospital of Nanjing Medical University (Nanjing Women and Children\u2019s Healthcare Hospital) , Nanjing, 210004, People\u2019s Republic of","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yao","family":"Yao","sequence":"additional","affiliation":[{"name":"Department of Radiology, Women\u2019s Hospital of Nanjing Medical University (Nanjing Women and Children\u2019s Healthcare Hospital) , Nanjing, 210004, People\u2019s Republic of","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao-Quan","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Radiology, The First Affiliated Hospital of Nanjing Medical University , Nanjing, 210029, People\u2019s Republic of","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wen-Wei","family":"Tang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Women\u2019s Hospital of Nanjing Medical University (Nanjing Women and Children\u2019s Healthcare Hospital) , Nanjing, 210004, People\u2019s Republic of","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2025,8,5]]},"reference":[{"key":"2025101113170600400_tqaf188-B1","doi-asserted-by":"crossref","first-page":"106","DOI":"10.3348\/kjr.2020.0121","article-title":"Texture analysis of three-dimensional MRI images may differentiate borderline and malignant epithelial ovarian tumors","volume":"22","author":"Ye","year":"2021","journal-title":"Korean J Radiol"},{"key":"2025101113170600400_tqaf188-B2","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.ejrad.2019.07.011","article-title":"The enhanced T2 star weighted angiography (ESWAN) value for differentiating borderline from malignant epithelial ovarian tumors","volume":"118","author":"Han","year":"2019","journal-title":"Eur J Radiol"},{"key":"2025101113170600400_tqaf188-B3","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1016\/j.fertnstert.2004.10.009","article-title":"Fertility after conservative treatment for borderline ovarian tumors: a French multicenter study","volume":"83","author":"Fauvet","year":"2005","journal-title":"Fertil Steril"},{"key":"2025101113170600400_tqaf188-B4","doi-asserted-by":"crossref","first-page":"8710","DOI":"10.12998\/wjcc.v9.i29.8710","article-title":"Clinical and imaging features of desmoid tumors of the extremities","volume":"9","author":"Shi","year":"2021","journal-title":"World J Clin Cases"},{"key":"2025101113170600400_tqaf188-B5","doi-asserted-by":"crossref","first-page":"110112","DOI":"10.1016\/j.ejrad.2021.110112","article-title":"Role of MRI in characterizing serous borderline ovarian tumor and its subtypes: correlation of MRI features with clinicopathological characteristics","volume":"147","author":"Li","year":"2022","journal-title":"Eur J Radiol"},{"key":"2025101113170600400_tqaf188-B6","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1007\/s11604-020-00976-8","article-title":"Ovarian solid tumors: MR imaging features with radiologic-pathologic correlation","volume":"38","author":"Mukuda","year":"2020","journal-title":"Jpn J Radiol"},{"key":"2025101113170600400_tqaf188-B7","first-page":"123:108786","article-title":"Pre-operative evaluation of epithelial ovarian cancer patients: role of whole body diffusion weighted imaging MR and CT scans in the selection of patients suitable for primary debulking surgery. 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