{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T02:30:47Z","timestamp":1785897047879,"version":"3.56.0"},"reference-count":41,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2024,11,18]],"date-time":"2024-11-18T00:00:00Z","timestamp":1731888000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2024,11,18]],"date-time":"2024-11-18T00:00:00Z","timestamp":1731888000000},"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":[[2025,3]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To evaluate the value of radiomics based on ultrasonography in differentiating follicular thyroid carcinoma (FTC) and follicular thyroid adenoma (FTA) and construct a tool for preoperative noninvasive predicting FTC and FTA.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The clinical data and ultrasound images of 389 patients diagnosed with FTC or FTA postoperatively were retrospectively analyzed at 3 institutions from January 2017 to December 2023. Patients in our hospital were randomly assigned in a 7:3 ratio to training cohort and validation cohort. External test cohort consisted of data collected from other 2 hospitals. Radiomics features 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>Radiomics model based on random forest showed best performance in discriminating FTC and FTA, with AUCs 0.880 (95% confidence interval [CI]: 0.8290\u20130.9308), 0.871 (95% CI: 0.7690\u20130.9734), and 0.821 (95% CI: 0.7036\u20130.9389) in training, validation, and test cohort, respectively. The combined model presented better efficacy comparing with clinical model and radiomics model, with AUCs 0.883 (95% CI: 0.8359\u20130.9295), 0.874 (95% CI: 0.7873\u20130.9615), and 0.876 (0.7809\u20130.9714) in training, validation, and test cohort, 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 random forest is feasible to differentiate FTC and FTA, and the combined model is an intuitively noninvasive tool for FTC and FTA preoperative identification.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jum.16620","type":"journal-article","created":{"date-parts":[[2024,11,18]],"date-time":"2024-11-18T06:35:27Z","timestamp":1731911727000},"page":"567-579","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Model Based on Ultrasound Radiomics and Machine Learning to Preoperative Differentiation of Follicular Thyroid Neoplasm"],"prefix":"10.1002","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-7911-9675","authenticated-orcid":false,"given":"Yiwen","family":"Deng","sequence":"first","affiliation":[{"name":"Department of Ultrasound The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University  Nanchang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiao","family":"Zeng","sequence":"additional","affiliation":[{"name":"Department of Radiology Jiangxi Cancer Hospital &amp; Institute, Jiangxi Clinical Research Center for Cancer, The Second Affiliated Hospital of Nanchang Medical College  Nanchang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Ultrasound The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University  Nanchang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Ultrasound The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University  Nanchang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Changmiao","family":"Zhan","sequence":"additional","affiliation":[{"name":"Department of Ultrasound The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University  Nanchang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liangyun","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Ultrasound The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University  Nanchang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Binghuang","family":"Lai","sequence":"additional","affiliation":[{"name":"Department of Ultrasound Ganzhou People's Hospital  Ganzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiping","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Ultrasound Ganzhou People's Hospital  Ganzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiyong","family":"Fu","sequence":"additional","affiliation":[{"name":"Department of Ultrasound Jiangxi Cancer Hospital &amp; Institute, Jiangxi Clinical Research Center for Cancer, The Second Affiliated Hospital of Nanchang Medical College  Nanchang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4709-1603","authenticated-orcid":false,"given":"Chunquan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Ultrasound The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University  Nanchang China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,11,18]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/cncr.21826"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/cncy.22235"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.6004\/jnccn.2022.0040"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1507\/endocrj.EJ20-0152"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1097\/00000658-200205000-00007"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2022.1013410"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1002\/dc.10043"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0064505"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2015151169"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejca.2011.11.036"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1148\/rg.2017160130"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1038\/srep13087"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-018-1796-5"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1177\/1533033819831713"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.1089\/thy.2020.0305"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.1089\/thy.2017.0525"},{"key":"e_1_2_8_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.surg.2023.06.053"},{"key":"e_1_2_8_19_1","doi-asserted-by":"publisher","DOI":"10.14366\/usg.19069"},{"key":"e_1_2_8_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-022-00639-2"},{"key":"e_1_2_8_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ygeno.2012.04.003"},{"key":"e_1_2_8_22_1","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbad002"},{"key":"e_1_2_8_23_1","doi-asserted-by":"publisher","DOI":"10.3390\/cancers14163914"},{"key":"e_1_2_8_24_1","doi-asserted-by":"publisher","DOI":"10.1186\/s41747-018-0068-z"},{"key":"e_1_2_8_25_1","doi-asserted-by":"publisher","DOI":"10.3390\/jcm9072156"},{"key":"e_1_2_8_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asjsur.2019.04.016"},{"key":"e_1_2_8_27_1","doi-asserted-by":"publisher","DOI":"10.1111\/cen.12692"},{"key":"e_1_2_8_28_1","doi-asserted-by":"publisher","DOI":"10.3233\/CH-190750"},{"key":"e_1_2_8_29_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.230949"},{"key":"e_1_2_8_30_1","doi-asserted-by":"publisher","DOI":"10.1093\/ejendo\/lvad095"},{"key":"e_1_2_8_31_1","doi-asserted-by":"publisher","DOI":"10.3390\/cancers13050938"},{"key":"e_1_2_8_32_1","doi-asserted-by":"publisher","DOI":"10.1111\/cen.14002"},{"key":"e_1_2_8_33_1","doi-asserted-by":"publisher","DOI":"10.1002\/jso.22030"},{"key":"e_1_2_8_34_1","doi-asserted-by":"publisher","DOI":"10.3346\/jkms.2012.27.9.1014"},{"key":"e_1_2_8_35_1","doi-asserted-by":"publisher","DOI":"10.1089\/thy.2015.0020"},{"key":"e_1_2_8_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cca.2007.11.002"},{"key":"e_1_2_8_37_1","doi-asserted-by":"publisher","DOI":"10.1097\/RCT.0000000000001078"},{"key":"e_1_2_8_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-020-07670-3"},{"key":"e_1_2_8_39_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-31906-4"},{"key":"e_1_2_8_40_1","doi-asserted-by":"crossref","first-page":"2732","DOI":"10.1097\/JS9.0000000000000506","article-title":"Automated diagnosis and management of follicular thyroid nodules based on the devised small\u2010dataset interpretable foreground optimization network deep learning: a multicenter diagnostic study","volume":"109","author":"Yang Z","year":"2023","journal-title":"Int J Surg"},{"key":"e_1_2_8_41_1","first-page":"1","article-title":"Differentiation of the follicular neoplasm on the gray\u2010scale US by image selection subsampling along with the marginal outline using convolutional neural network","volume":"2017","author":"Seo JK","year":"2017","journal-title":"Biomed Res Int"},{"key":"e_1_2_8_42_1","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/abc6f2"}],"container-title":["Journal of Ultrasound in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/jum.16620","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/jum.16620","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/jum.16620","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T17:57:27Z","timestamp":1784570247000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/jum.16620"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,18]]},"references-count":41,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,3]]}},"alternative-id":["10.1002\/jum.16620"],"URL":"https:\/\/doi.org\/10.1002\/jum.16620","archive":["Portico"],"relation":{},"ISSN":["0278-4297","1550-9613"],"issn-type":[{"value":"0278-4297","type":"print"},{"value":"1550-9613","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,18]]},"assertion":[{"value":"2024-04-29","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-11-03","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-11-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}