{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T20:28:22Z","timestamp":1787171302984,"version":"build-2736575974"},"reference-count":42,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T00:00:00Z","timestamp":1775779200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T00:00:00Z","timestamp":1775779200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Ultrasound Medicine"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To evaluate the value of radiomics based on ultrasound in differentiating uterine fibroids (UFs) and uterine adenomyomas (AMs) and construct a noninvasive tool for this differentiation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The clinical data and ultrasound images of 659 patients diagnosed with UFs or AMs postoperatively were retrospectively analyzed at 3 institutions from January 2020 to December 2024. The cohort comprised patients with 422 UFs and 237 uterine AMs, divided into training (Institution 1 and Institution 2) and external test cohort (Institution 3). Radiomics features extracted from ultrasound images were used to develop models based on different machine learning classifiers. A combined model was developed combining radiomics features with clinical characteristics and a nomogram was depicted. The performance of the models was assessed by area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The clinical model demonstrated moderate performance with AUCs of 0.767 (95% CI: 0.7259\u20130.8082) in the training cohort and 0.747 (95% CI: 0.6003\u20130.8933) in the test cohort. The radiomics model based on the support vector machine (SVM) showed the best performance in discriminating UFs and AMs, with AUCs of 0.899 (95% CI: 0.8721\u20130.9256) in the training cohort and 0.823 (95% CI: 0.7297\u20130.9159) in the external test cohort, respectively. The combined model presented better efficacy compared with the clinical model and the radiomics model, with AUCs of 0.923 (95% CI: 0.9015\u20130.9451) and 0.894 (95% CI: 0.8285\u20130.9596) in the training and external test cohorts, respectively. The calibration curves suggested good consistency and decision curves showed the highest overall clinical benefit for the combined model.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Ultrasound radiomics model based on SVM is feasible to differentiate UFs and AMs, and the combined model is a reliable and effective noninvasive tool for differentiation between UFs and AMs, which can assist clinicians in preoperative planning and fertility preservation strategies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jum.70253","type":"journal-article","created":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T13:11:52Z","timestamp":1775826712000},"page":"1967-1981","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Model Based on Ultrasound Radiomics and Machine Learning for Differentiating Uterine Fibroids and Adenomyomas"],"prefix":"10.1002","volume":"45","author":[{"given":"Qianqi","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Ultrasound The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University  Nanchang People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-7911-9675","authenticated-orcid":false,"given":"Yiwen","family":"Deng","sequence":"additional","affiliation":[{"name":"Department of Ultrasound The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University  Nanchang People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Ultrasound The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University  Nanchang People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xia","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Ultrasound The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University  Nanchang People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lijuan","family":"Qiu","sequence":"additional","affiliation":[{"name":"Department of Ultrasound Jiangxi Maternal and Child Health Hospital  Nanchang People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenhui","family":"Min","sequence":"additional","affiliation":[{"name":"Department of Ultrasound The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University  Nanchang People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuangyi","family":"Cao","sequence":"additional","affiliation":[{"name":"Department of Ultrasound The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University  Nanchang People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7901-8825","authenticated-orcid":false,"given":"Xin","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Ultrasound Jiangxi Maternal and Child Health Hospital  Nanchang People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Yi","sequence":"additional","affiliation":[{"name":"Department of Ultrasound Yichun Maternal and Child Health Hospital  Yichun People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunquan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Ultrasound The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University  Nanchang People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,4,10]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bpobgyn.2017.09.004"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1067\/mob.2003.99"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bpobgyn.2006.01.017"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajog.2020.01.016"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.3390\/medicina59091551"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1093\/humrep\/deu041"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.3390\/jcm13164926"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1148\/rg.240152"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.34172\/aim.2021.54"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.fertnstert.2020.06.018"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.3390\/medicina60060868"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmig.2017.08.653"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1093\/humupd\/dmz049"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultrasmedbio.2018.03.027"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.3390\/jpm11080824"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2015151169"},{"key":"e_1_2_8_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejca.2011.11.036"},{"key":"e_1_2_8_19_1","doi-asserted-by":"publisher","DOI":"10.1038\/srep13087"},{"key":"e_1_2_8_20_1","doi-asserted-by":"publisher","DOI":"10.1259\/bjr.20220890"},{"key":"e_1_2_8_21_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12938-024-01234-y"},{"key":"e_1_2_8_22_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13048-023-01133-1"},{"key":"e_1_2_8_23_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12880-024-01497-w"},{"key":"e_1_2_8_24_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13048-024-01375-7"},{"key":"e_1_2_8_25_1","first-page":"1","article-title":"Exploring the diagnostic value of ultrasound examination for uterine leiomyoma and adenomyosis based on radiomics","volume":"32","author":"Jing J","year":"2024","journal-title":"Clin Res"},{"key":"e_1_2_8_26_1","doi-asserted-by":"publisher","DOI":"10.1002\/uog.14806"},{"key":"e_1_2_8_27_1","doi-asserted-by":"publisher","DOI":"10.3390\/jcm11133757"},{"key":"e_1_2_8_28_1","first-page":"49","article-title":"A comparison of shear wave elastography between normal myometrium, uterine fibroids, and adenomyosis: a cross\u2010sectional study","volume":"16","author":"Pongpunprut S","year":"2022","journal-title":"Int J Fertil Steril"},{"key":"e_1_2_8_29_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2022\/1629443","article-title":"Analysis of convolutional neural network segmentation algorithm of adenomyoma","volume":"2022","author":"Jin Y","year":"2022","journal-title":"Comput Intell Neurosci"},{"key":"e_1_2_8_30_1","doi-asserted-by":"publisher","DOI":"10.21037\/atm-22-4460"},{"key":"e_1_2_8_31_1","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0096(199801)26:1<21::AID-JCU5>3.0.CO;2-L"},{"key":"e_1_2_8_32_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1020371614069"},{"key":"e_1_2_8_33_1","doi-asserted-by":"publisher","DOI":"10.1055\/s-0040-1719017"},{"key":"e_1_2_8_34_1","first-page":"1","article-title":"Sparse SVM for sufficient data reduction","volume":"44","author":"Zhou S","year":"2022","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"e_1_2_8_35_1","doi-asserted-by":"publisher","DOI":"10.1186\/s41747-018-0068-z"},{"key":"e_1_2_8_36_1","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2024.1499387"},{"key":"e_1_2_8_37_1","doi-asserted-by":"publisher","DOI":"10.21037\/qims-24-1844"},{"key":"e_1_2_8_38_1","doi-asserted-by":"publisher","DOI":"10.3390\/jcm13082344"},{"key":"e_1_2_8_39_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmig.2021.08.023"},{"key":"e_1_2_8_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmig.2025.07.024"},{"key":"e_1_2_8_41_1","doi-asserted-by":"publisher","DOI":"10.1002\/uog.26197"},{"key":"e_1_2_8_42_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-019-06308-3"},{"key":"e_1_2_8_43_1","doi-asserted-by":"publisher","DOI":"10.3389\/fphys.2024.1507986"}],"container-title":["Journal of Ultrasound in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/jum.70253","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/jum.70253","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/jum.70253","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T20:09:32Z","timestamp":1787170172000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/jum.70253"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,10]]},"references-count":42,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2026,9]]}},"alternative-id":["10.1002\/jum.70253"],"URL":"https:\/\/doi.org\/10.1002\/jum.70253","archive":["Portico"],"relation":{},"ISSN":["0278-4297","1550-9613"],"issn-type":[{"value":"0278-4297","type":"print"},{"value":"1550-9613","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4,10]]},"assertion":[{"value":"2026-01-20","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-03-23","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-04-10","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}