{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T18:18:42Z","timestamp":1787163522824,"version":"build-2736575974"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,12,5]],"date-time":"2024-12-05T00:00:00Z","timestamp":1733356800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,5]],"date-time":"2024-12-05T00:00:00Z","timestamp":1733356800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Endocrine"],"DOI":"10.1007\/s12020-024-04125-3","type":"journal-article","created":{"date-parts":[[2024,12,5]],"date-time":"2024-12-05T12:02:59Z","timestamp":1733400179000},"page":"162-174","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Ultrasound-based radiomics to predict the volume reduction rate of benign thyroid nodules after microwave ablation"],"prefix":"10.1007","volume":"88","author":[{"given":"Fang","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxiu","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingwen","family":"Xue","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyan","family":"Niu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaojuan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yichen","family":"Zang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuao","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cheng","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,12,5]]},"reference":[{"key":"4125_CR1","doi-asserted-by":"crossref","first-page":"622","DOI":"10.4158\/EP161208.GL","volume":"22","author":"H Gharib","year":"2016","unstructured":"H. Gharib, E. Papini, J.R. Garber et al. American Association of Clinical Endocrinologists, American College of Endocrinology, and Associazione Medici Endocrinologi medical guidelines for clinical practice for the diagnosis and management of thyroid nodules-2016 update. Endocr. Pract. 22, 622\u2013639 (2016)","journal-title":"Endocr. Pract."},{"key":"4125_CR2","doi-asserted-by":"crossref","first-page":"1764","DOI":"10.1056\/NEJMcp031436","volume":"351","author":"L Heged\u00fcs","year":"2004","unstructured":"L. Heged\u00fcs, Clinical practice. The thyroid nodule. N. Engl. J. Med. 351, 1764\u20131771 (2004)","journal-title":"N. Engl. J. Med."},{"key":"4125_CR3","doi-asserted-by":"crossref","first-page":"50","DOI":"10.5334\/jbsr.2746","volume":"106","author":"G Yildirim","year":"2022","unstructured":"G. Yildirim, H.M. Karakas, Uncooled microwave ablation as a treatment option to preserve thyroid function in patients with benign thyroid nodules. J. Belg. Soc. Radio. 106, 50 (2022)","journal-title":"J. Belg. Soc. Radio."},{"key":"4125_CR4","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1007\/s00268-003-6903-1","volume":"28","author":"L Rosato","year":"2004","unstructured":"L. Rosato, N. Avenia, P. Bernante et al. Complications of thyroid surgery: analysis of a multicentric study on 14,934 patients operated on in Italy over 5 years. World J. Surg. 28, 271\u2013276 (2004)","journal-title":"World J. Surg."},{"key":"4125_CR5","first-page":"5961690","volume":"2019","author":"BM Sephton","year":"2019","unstructured":"B.M. Sephton, Extracervical approaches to thyroid surgery: evolution and review. Minim. Invasive Surg. 2019, 5961690 (2019)","journal-title":"Minim. Invasive Surg."},{"key":"4125_CR6","doi-asserted-by":"crossref","first-page":"2220562","DOI":"10.1080\/02656736.2023.2220562","volume":"40","author":"S Cao","year":"2023","unstructured":"S. Cao, L. Wang, Y. Wei, Z. Zhao, J. Wu, M. Yu, Influence factors and nomogram for volume reduction rate in benign thyroid nodule after thermal ablation. Int J. Hyperth. 40, 2220562 (2023)","journal-title":"Int J. Hyperth."},{"key":"4125_CR7","doi-asserted-by":"crossref","first-page":"1476","DOI":"10.1080\/02656736.2021.1988152","volume":"38","author":"X Wang","year":"2021","unstructured":"X. Wang, X. Niu, S. Mu et al. Analysis and evaluation of the efficacy of ultrasound-guided microwave ablation for papillary thyroid microcarcinoma. Int J. Hyperth. 38, 1476\u20131485 (2021)","journal-title":"Int J. Hyperth."},{"key":"4125_CR8","doi-asserted-by":"crossref","first-page":"638880","DOI":"10.3389\/fendo.2021.638880","volume":"12","author":"A Bisceglia","year":"2021","unstructured":"A. Bisceglia, R. Rossetto, S. Garberoglio et al. Predictor analysis in radiofrequency ablation of benign thyroid nodules: a single center experience. Front. Endocrinol. 12, 638880 (2021)","journal-title":"Front. Endocrinol."},{"key":"4125_CR9","doi-asserted-by":"crossref","DOI":"10.1186\/s12880-023-01044-z","volume":"23","author":"Z Motaghed","year":"2023","unstructured":"Z. Motaghed, H. Chegeni, A. Mosadeghkhah, M. Azimi Aval, R. Gerami, H. Ebrahiminik, Effect of ultrasound parameters of benign thyroid nodules on radiofrequency ablation efficacy. BMC Med Imaging 23, 85 (2023)","journal-title":"BMC Med Imaging"},{"key":"4125_CR10","doi-asserted-by":"crossref","unstructured":"W.C. Lin, C.K. Wang, W.H. Wang, et al. Multicenter study of benign thyroid nodules with radiofrequency ablation: results of 762 cases over 4 years in Taiwan. J. Pers. Med. 12, 63 (2022)","DOI":"10.3390\/jpm12010063"},{"key":"4125_CR11","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1159\/000504882","volume":"9","author":"R Negro","year":"2020","unstructured":"R. Negro, M. Rucco, A. Creanza et al. Machine learning prediction of radiofrequency thermal ablation efficacy: a new option to optimize thyroid nodule selection. Eur. Thyroid J. 9, 205\u2013212 (2020)","journal-title":"Eur. Thyroid J."},{"key":"4125_CR12","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1016\/j.ejca.2011.11.036","volume":"48","author":"P Lambin","year":"2012","unstructured":"P. Lambin, E. Rios-Velazquez, R. Leijenaar et al. Radiomics: extracting more information from medical images using advanced feature analysis. Eur. J. Cancer 48, 441\u2013446 (2012)","journal-title":"Eur. J. Cancer"},{"key":"4125_CR13","doi-asserted-by":"crossref","unstructured":"J.Y. Ren, J.J. Lin, W.Z. Lv, et al. A comparative study of two radiomics-based blood flow modes with thyroid imaging reporting and data system in predicting malignancy of thyroid nodules and reducing unnecessary fine-needle aspiration rate. Acad. Radiol. 31, 2739\u20132752 (2024)","DOI":"10.1016\/j.acra.2024.02.007"},{"key":"4125_CR14","doi-asserted-by":"crossref","first-page":"278","DOI":"10.21037\/tcr-23-1375","volume":"13","author":"Z Chen","year":"2024","unstructured":"Z. Chen, W. Zhan, Z. Wu et al. The ultrasound-based radiomics-clinical machine learning model to predict papillary thyroid microcarcinoma in TI-RADS 3 nodules. Transl. Cancer Res. 13, 278\u2013289 (2024)","journal-title":"Transl. Cancer Res."},{"key":"4125_CR15","doi-asserted-by":"crossref","first-page":"1291767","DOI":"10.3389\/fonc.2024.1291767","volume":"14","author":"MH Li","year":"2024","unstructured":"M.H. Li, L. Liu, L. Feng et al. Prediction of cervical lymph node metastasis in solitary papillary thyroid carcinoma based on ultrasound radiomics analysis. Front. Oncol. 14, 1291767 (2024)","journal-title":"Front. Oncol."},{"key":"4125_CR16","doi-asserted-by":"crossref","unstructured":"J.W. Feng, S.Q. Liu, G.F. Qi, et al. Development and validation of clinical-radiomics nomogram for preoperative prediction of central lymph node metastasis in papillary thyroid carcinoma. Acad. Radiol. 31, 2292\u20132305 (2024)","DOI":"10.1016\/j.acra.2023.12.008"},{"key":"4125_CR17","doi-asserted-by":"crossref","first-page":"1267886","DOI":"10.3389\/fendo.2023.1267886","volume":"14","author":"M Fang","year":"2023","unstructured":"M. Fang, M. Lei, X. Chen et al. Radiomics-based ultrasound models for thyroid nodule differentiation in Hashimoto\u2019s thyroiditis. Front. Endocrinol. 14, 1267886 (2023)","journal-title":"Front. Endocrinol."},{"key":"4125_CR18","doi-asserted-by":"crossref","unstructured":"F. Fan, F. Li, Y. Wang, et al. Integration of ultrasound-based radiomics with clinical features for predicting cervical lymph node metastasis in postoperative patients with differentiated thyroid carcinoma. Endocrine 84, 999\u20131012 (2023)","DOI":"10.1007\/s12020-023-03644-9"},{"key":"4125_CR19","first-page":"9021903","volume":"2023","author":"CH Chiu","year":"2023","unstructured":"C.H. Chiu, S.D. Luo, P.L. Chiang et al. Factors influencing a favorable outcome for RFA of huge benign thyroid nodules: preliminary results and short-term evaluation. Int J. Endocrinol. 2023, 9021903 (2023)","journal-title":"Int J. Endocrinol."},{"key":"4125_CR20","doi-asserted-by":"crossref","first-page":"3058","DOI":"10.7150\/jca.26060","volume":"9","author":"T Xiaoyin","year":"2018","unstructured":"T. Xiaoyin, L. Ping, C. Dan et al. Risk assessment and hydrodissection technique for radiofrequency ablation of thyroid benign nodules. J. Cancer 9, 3058\u20133066 (2018)","journal-title":"J. Cancer"},{"key":"4125_CR21","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1002\/ima.22843","volume":"33","author":"AA Ardakani","year":"2023","unstructured":"A.A. Ardakani, A. Mohammadi, F. Faeghi, U.R. Acharya, Performance evaluation of 67 denoising filters in ultrasound images: a systematic comparison analysis. Int. J. Imaging Syst. Technol. 33, 445\u2013464 (2023)","journal-title":"Int. J. Imaging Syst. Technol."},{"key":"4125_CR22","doi-asserted-by":"crossref","first-page":"713","DOI":"10.1007\/s00270-023-03454-6","volume":"46","author":"A Shahveranova","year":"2023","unstructured":"A. Shahveranova, H.T. Balli, K. Aikimbaev, F.C. Piskin, S. Sozutok, S.P. Yucel, Prediction of local tumor progression after microwave ablation in colorectal carcinoma liver metastases patients by MRI radiomics and clinical characteristics-based combined model: preliminary results. Cardiovasc. Interv. Radio. 46, 713\u2013725 (2023)","journal-title":"Cardiovasc. Interv. Radio."},{"key":"4125_CR23","doi-asserted-by":"crossref","first-page":"17529","DOI":"10.1002\/cam4.6277","volume":"12","author":"C Chen","year":"2023","unstructured":"C. Chen, Q. Han, H. Ren et al. Multiparametric MRI-based model for prediction of local progression of hepatocellular carcinoma after thermal ablation. Cancer Med. 12, 17529\u201317540 (2023)","journal-title":"Cancer Med."},{"key":"4125_CR24","volume":"22","author":"Y Zhou","year":"2023","unstructured":"Y. Zhou, J. Zhang, C. Li et al. Prediction of non-perfusion volume ratio for uterine fibroids treated with ultrasound-guided high-intensity focused ultrasound based on MRI radiomics combined with clinical parameters. Biomed. Eng. Online 22, 123 (2023)","journal-title":"Biomed. Eng. Online"},{"key":"4125_CR25","doi-asserted-by":"crossref","first-page":"1895","DOI":"10.1007\/s00330-022-09203-6","volume":"33","author":"QX Zhao","year":"2023","unstructured":"Q.X. Zhao, X.L. He, K. Wang et al. Deep learning model based on contrast-enhanced ultrasound for predicting early recurrence after thermal ablation of colorectal cancer liver metastasis. Eur. Radio. 33, 1895\u20131905 (2023)","journal-title":"Eur. Radio."},{"key":"4125_CR26","doi-asserted-by":"crossref","first-page":"969409","DOI":"10.3389\/fgene.2022.969409","volume":"13","author":"M Liang","year":"2022","unstructured":"M. Liang, C. Zhang, T. Xia et al. Ultrasound radiomics features predicting the dosimetry for focused ultrasound surgery of benign breast tumor: a retrospective study. Front Genet 13, 969409 (2022)","journal-title":"Front Genet"},{"key":"4125_CR27","first-page":"8376","volume":"26","author":"E Akpinar","year":"2022","unstructured":"E. Akpinar, O.C. Bayrak, C. Nadarajan, M.H. M\u00fcsl\u00fcmano\u011flu, M.D. Nguyen, B. Keserci, Role of machine learning algorithms in predicting the treatment outcome of uterine fibroids using high-intensity focused ultrasound ablation with an immediate nonperfused volume ratio of at least 90. Eur. Rev. Med. Pharm. Sci. 26, 8376\u20138394 (2022)","journal-title":"Eur. Rev. Med. Pharm. Sci."},{"key":"4125_CR28","doi-asserted-by":"crossref","first-page":"1349","DOI":"10.1080\/02656736.2021.1972170","volume":"38","author":"Y Zheng","year":"2021","unstructured":"Y. Zheng, L. Chen, M. Liu, J. Wu, R. Yu, F. Lv, Nonenhanced MRI-based radiomics model for preoperative prediction of nonperfused volume ratio for high-intensity focused ultrasound ablation of uterine leiomyomas. Int. J. Hyperth. 38, 1349\u20131358 (2021)","journal-title":"Int. J. Hyperth."},{"key":"4125_CR29","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1186\/s13244-023-01445-2","volume":"14","author":"C Li","year":"2023","unstructured":"C. Li, Z. He, F. Lv et al. An interpretable MRI-based radiomics model predicting the prognosis of high-intensity focused ultrasound ablation of uterine fibroids. Insights Imaging 14, 129 (2023)","journal-title":"Insights Imaging"},{"key":"4125_CR30","doi-asserted-by":"crossref","first-page":"618604","DOI":"10.3389\/fonc.2021.618604","volume":"11","author":"Y Zheng","year":"2021","unstructured":"Y. Zheng, L. Chen, M. Liu, J. Wu, R. Yu, F. Lv, Prediction of clinical outcome for high-intensity focused ultrasound ablation of uterine leiomyomas using multiparametric MRI radiomics-based machine leaning model. Front Oncol. 11, 618604 (2021)","journal-title":"Front Oncol."},{"key":"4125_CR31","doi-asserted-by":"crossref","first-page":"1803","DOI":"10.21037\/qims-23-916","volume":"14","author":"Y Cheng","year":"2024","unstructured":"Y. Cheng, L. Yang, Y. Wang et al. Development and validation of a radiomics model based on T2-weighted imaging for predicting the efficacy of high intensity focused ultrasound ablation in uterine fibroids. Quant. Imaging Med. Surg. 14, 1803\u20131819 (2024)","journal-title":"Quant. Imaging Med. Surg."},{"key":"4125_CR32","doi-asserted-by":"crossref","first-page":"835","DOI":"10.1080\/02656736.2022.2090622","volume":"39","author":"J Zhang","year":"2022","unstructured":"J. Zhang, C. Yang, C. Gong, Y. Zhou, C. Li, F. Li, Magnetic resonance imaging parameter-based machine learning for prognosis prediction of high-intensity focused ultrasound ablation of uterine fibroids. Int. J. Hyperth. 39, 835\u2013846 (2022)","journal-title":"Int. J. Hyperth."},{"key":"4125_CR33","doi-asserted-by":"crossref","first-page":"2226847","DOI":"10.1080\/02656736.2023.2226847","volume":"40","author":"S Qin","year":"2023","unstructured":"S. Qin, Z. Lin, N. Liu, Y. Zheng, Q. Jia, X. Huang, Prediction of postoperative reintervention risk for uterine fibroids using clinical-imaging features and T2WI radiomics before high-intensity focused ultrasound ablation. Int J. Hyperth. 40, 2226847 (2023)","journal-title":"Int J. Hyperth."},{"key":"4125_CR34","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1002\/uog.26053","volume":"60","author":"Y Zhou","year":"2022","unstructured":"Y. Zhou, J. Zhang, J. Chen et al. Prediction using T2-weighted magnetic resonance imaging-based radiomics of residual uterine myoma regrowth after high-intensity focused ultrasound ablation. Ultrasound Obstet. Gynecol. 60, 681\u2013692 (2022)","journal-title":"Ultrasound Obstet. Gynecol."},{"key":"4125_CR35","doi-asserted-by":"crossref","unstructured":"J. Ying, X. Jing, F. Gao, J. Cheng, L. Fu, H. Yang. Prediction of ablation rate for high-intensity focused ultrasound therapy of adenomyosis in MR images based on multi-model fusion. J. Imaging Inform. Med. 37, 1579\u20131590 (2024)","DOI":"10.1007\/s10278-024-01063-4"},{"key":"4125_CR36","doi-asserted-by":"crossref","first-page":"2689","DOI":"10.1016\/j.asjsur.2022.09.130","volume":"46","author":"W Peng","year":"2023","unstructured":"W. Peng, X. Jiang, W. Zhang, J. Hu, Y. Zhang, L. Zhang, A radiomics-based model can predict recurrence-free survival of hepatocellular carcinoma after curative ablation. Asian J. Surg. 46, 2689\u20132696 (2023)","journal-title":"Asian J. Surg."},{"key":"4125_CR37","doi-asserted-by":"crossref","first-page":"e36586","DOI":"10.1097\/MD.0000000000036586","volume":"102","author":"H Hu","year":"2023","unstructured":"H. Hu, J.C. Chi, B. Zhai, J.H. Guo, CT-based radiomics analysis to predict local progression of recurrent colorectal liver metastases after microwave ablation. Medicine 102, e36586 (2023)","journal-title":"Medicine"},{"key":"4125_CR38","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1080\/02656736.2021.1995632","volume":"39","author":"LH Liu","year":"2022","unstructured":"L.H. Liu, B.B. Yang, Y. Liu et al. Factors related to the absorption rate of benign thyroid nodules after image-guided microwave ablation: a 3-year follow-up. Int J. Hyperth. 39, 8\u201314 (2022)","journal-title":"Int J. Hyperth."},{"key":"4125_CR39","doi-asserted-by":"crossref","first-page":"1469","DOI":"10.1080\/02656736.2021.1988151","volume":"38","author":"QQ Fu","year":"2021","unstructured":"Q.Q. Fu, S. Kang, C.P. Wu et al. A study on the efficacy of microwave ablation for benign thyroid nodules and related influencing factors. Int J. Hyperth. 38, 1469\u20131475 (2021)","journal-title":"Int J. Hyperth."},{"key":"4125_CR40","volume":"21","author":"B Xia","year":"2021","unstructured":"B. Xia, B. Yu, X. Wang et al. Conspicuousness and recurrence related factors of ultrasound-guided microwave ablation in the treatment of benign thyroid nodules. BMC Surg. 21, 317 (2021)","journal-title":"BMC Surg."}],"container-title":["Endocrine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12020-024-04125-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12020-024-04125-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12020-024-04125-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T03:39:35Z","timestamp":1742787575000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12020-024-04125-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,5]]},"references-count":40,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,4]]}},"alternative-id":["4125"],"URL":"https:\/\/doi.org\/10.1007\/s12020-024-04125-3","relation":{},"ISSN":["1559-0100"],"issn-type":[{"value":"1559-0100","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,5]]},"assertion":[{"value":"14 October 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 November 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 December 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This study was approved by the Ethics Committee of the Affiliated Hospital of Qingdao University (number: QYFYWZLL 28647).","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}