{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T02:10:03Z","timestamp":1751422203979,"version":"3.41.0"},"reference-count":23,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T00:00:00Z","timestamp":1751414400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T00:00:00Z","timestamp":1751414400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"DOI":"10.1038\/s41598-025-03463-0","type":"journal-article","created":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T01:40:37Z","timestamp":1751420437000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automated grading of rectocele with an MRI radiomics model"],"prefix":"10.1038","volume":"15","author":[{"given":"Weiwei","family":"Lai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiannan","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Qi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zeyun","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,7,2]]},"reference":[{"key":"3463_CR1","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1111\/ans.14068","volume":"87","author":"EF Zimmermann","year":"2017","unstructured":"Zimmermann, E. F., Hayes, R. S., Daniels, I. R., Smart, N. J. & Warwick, A. M. Transperineal rectocele repair: a systematic review. ANZ J. Surg. 87, 773\u2013779 (2017).","journal-title":"ANZ J. Surg."},{"key":"3463_CR2","doi-asserted-by":"publisher","first-page":"1835","DOI":"10.1007\/s00192-013-2174-z","volume":"24","author":"M Karram","year":"2013","unstructured":"Karram, M. & Maher, C. Surgery for posterior vaginal wall prolapse. Int. Urogynecol. J. 24, 1835\u20131841 (2013).","journal-title":"Int. Urogynecol. J."},{"key":"3463_CR3","doi-asserted-by":"publisher","first-page":"1403","DOI":"10.1097\/01.AOG.0000147598.50638.15","volume":"104","author":"GW Cundiff","year":"2004","unstructured":"Cundiff, G. W. & Fenner, D. Evaluation and treatment of women with Rectocele: focus on associated defecatory and sexual dysfunction. Obstet. Gynecol. 104, 1403\u20131421 (2004).","journal-title":"Obstet. Gynecol."},{"key":"3463_CR4","doi-asserted-by":"publisher","first-page":"1334","DOI":"10.1007\/s00261-019-02228-4","volume":"46","author":"D Kanmaniraja","year":"2021","unstructured":"Kanmaniraja, D. et al. MR defecography review. Abdom. Radiol. 46, 1334\u20131350 (2021).","journal-title":"Abdom. Radiol."},{"key":"3463_CR5","doi-asserted-by":"publisher","first-page":"462","DOI":"10.1016\/j.ejrad.2006.11.020","volume":"61","author":"KJ Mortele","year":"2007","unstructured":"Mortele, K. J. & Fairhurst, J. Dynamic MR defecography of the posterior compartment: indications, techniques and MRI features. Eur. J. Radiol. 61, 462\u2013472 (2007).","journal-title":"Eur. J. Radiol."},{"key":"3463_CR6","doi-asserted-by":"publisher","first-page":"930","DOI":"10.1007\/s00261-012-9955-6","volume":"38","author":"F Maccioni","year":"2013","unstructured":"Maccioni, F. Functional disorders of the ano-rectal compartment of the pelvic floor: clinical and diagnostic value of dynamic MRI. Abdom. Imaging. 38, 930\u2013951 (2013).","journal-title":"Abdom. Imaging"},{"key":"3463_CR7","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1016\/j.critrevonc.2019.03.015","volume":"138","author":"I Gardin","year":"2019","unstructured":"Gardin, I. et al. Radiomics: principles and radiotherapy applications. Crit. Rev. Oncol. Hematol. 138, 44\u201350 (2019).","journal-title":"Crit. Rev. Oncol. Hematol."},{"key":"3463_CR8","doi-asserted-by":"publisher","first-page":"1303","DOI":"10.7150\/thno.30309","volume":"9","author":"Z Liu","year":"2019","unstructured":"Liu, Z. et al. The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges. Theranostics 9, 1303\u20131322 (2019).","journal-title":"Theranostics"},{"key":"3463_CR9","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1097\/00042307-200207000-00014","volume":"12","author":"JL Segal","year":"2002","unstructured":"Segal, J. L. & Karram, M. M. Evaluation and management of rectoceles. Curr. Opin. Urol. 12, 345\u2013352 (2002).","journal-title":"Curr. Opin. Urol."},{"key":"3463_CR10","doi-asserted-by":"publisher","first-page":"587","DOI":"10.1016\/S0022-5347(01)61958-X","volume":"161","author":"MH Safir","year":"1999","unstructured":"Safir, M. H., Gousse, A. E., Rovner, E. S., Ginsberg, D. A. & Raz, S. 4-Defect repair of grade 4 cystocele. J. Urol. 161, 587\u2013594 (1999).","journal-title":"J. Urol."},{"key":"3463_CR11","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1097\/00042307-200107000-00015","volume":"11","author":"LV Rodr\u00edguez","year":"2001","unstructured":"Rodr\u00edguez, L. V. & Raz, S. Diagnostic imaging of pelvic floor dysfunction. Curr. Opin. Urol. 11, 423\u2013428 (2001).","journal-title":"Curr. Opin. Urol."},{"key":"3463_CR12","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1148\/radiology.179.1.2006286","volume":"179","author":"A Yang","year":"1991","unstructured":"Yang, A., Mostwin, J. L., Rosenshein, N. B. & Zerhouni, E. A. Pelvic floor descent in women: dynamic evaluation with fast MR imaging and cinematic display. Radiology 179, 25\u201333 (1991).","journal-title":"Radiology"},{"key":"3463_CR13","doi-asserted-by":"publisher","first-page":"903","DOI":"10.1007\/s00261-012-9857-7","volume":"38","author":"CS Reiner","year":"2013","unstructured":"Reiner, C. S. & Weishaupt, D. Dynamic pelvic floor imaging: MRI techniques and imaging parameters. Abdom. Imaging. 38, 903\u2013911 (2013).","journal-title":"Abdom. Imaging"},{"key":"3463_CR14","doi-asserted-by":"crossref","unstructured":"Costa, C. L., Macedo, T. A. A. & Barcelos, C. A. Z. Pre-diagnosis of pelvic floor disorders-based image registration and clustering. IEEE. pp, 572\u2013577; Pre-diagnosis of pelvic floor disorders-based image registration and clustering | IEEE Conference Publication | IEEE Xplore (2019).","DOI":"10.1109\/ICAR46387.2019.8981575"},{"key":"3463_CR15","doi-asserted-by":"publisher","first-page":"193e1","DOI":"10.1016\/j.ajog.2008.04.029","volume":"199","author":"CJ Robinson","year":"2008","unstructured":"Robinson, C. J., Swift, S., Johnson, D. D. & Almeida, J. S. Prediction of pelvic organ prolapse using an artificial neural network. Am. J. Obstet. Gynecol. 199, 193e1\u2013193e1936 (2008).","journal-title":"Am. J. Obstet. Gynecol."},{"key":"3463_CR16","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1007\/s00192-014-2582-8","volume":"26","author":"S Onal","year":"2015","unstructured":"Onal, S. et al. Quantitative assessment of new MRI-based measurements to differentiate low and high stages of pelvic organ prolapse using support vector machines. Int. Urogynecol. J. 26, 707\u2013713 (2015).","journal-title":"Int. Urogynecol. J."},{"key":"3463_CR17","doi-asserted-by":"publisher","first-page":"425","DOI":"10.2174\/1573405616999200918150259","volume":"17","author":"G Li","year":"2021","unstructured":"Li, G. et al. Diagnosis of renal diseases based on machine learning methods using ultrasound images. Curr. Med. Imaging. 17, 425\u2013432 (2021).","journal-title":"Curr. Med. Imaging"},{"key":"3463_CR18","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.csbj.2014.11.005","volume":"13","author":"K Kourou","year":"2014","unstructured":"Kourou, K., Exarchos, T. P., Exarchos, K. P., Karamouzis, M. V. & Fotiadis D. I. Machine learning applications in cancer prognosis and prediction. Comput. Struct. Biotechnol. J. 13, 8\u201317 (2014).","journal-title":"Comput. Struct. Biotechnol. J."},{"key":"3463_CR19","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1007\/s10822-022-00442-9","volume":"36","author":"R Rodr\u00edguez-P\u00e9rez","year":"2022","unstructured":"Rodr\u00edguez-P\u00e9rez, R. & Bajorath, J. Evolution of support vector machine and regression modeling in chemoinformatics and drug discovery. J. Comput. Aided Mol. Des. 36, 355\u2013362 (2022).","journal-title":"J. Comput. Aided Mol. Des."},{"key":"3463_CR20","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1177\/01617346231220000","volume":"46","author":"J Chen","year":"2024","unstructured":"Chen, J. et al. Ultrasound-Based radiomics for the classification of Henoch-Sch\u00f6nlein Purpura nephritis in children. Ultrason. Imaging. 46, 110\u2013120 (2024).","journal-title":"Ultrason. Imaging"},{"key":"3463_CR21","doi-asserted-by":"publisher","first-page":"2869","DOI":"10.1007\/s00192-021-05064-7","volume":"33","author":"X Wang","year":"2022","unstructured":"Wang, X. et al. Multi-label classification of pelvic organ prolapse using stress magnetic resonance imaging with deep learning. Int. Urogynecol. J. 33, 2869\u20132877 (2022).","journal-title":"Int. Urogynecol. J."},{"key":"3463_CR22","doi-asserted-by":"publisher","first-page":"112031","DOI":"10.1016\/j.exger.2022.112031","volume":"171","author":"W Li","year":"2023","unstructured":"Li, W. et al. Nomogram model based on radiomics signatures and age to assist in the diagnosis of knee osteoarthritis. Exp. Gerontol. 171, 112031 (2023).","journal-title":"Exp. Gerontol."},{"key":"3463_CR23","first-page":"563","volume":"278","author":"RJ Gillies","year":"2016","unstructured":"Gillies, R. J., Kinahan, P. E. & Hricak, H. Radiomics: images are more than pictures. They Are Data Radiology. 278, 563\u2013577 (2016).","journal-title":"They Are Data Radiology"}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-03463-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-03463-0","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-03463-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T01:40:42Z","timestamp":1751420442000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-03463-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,2]]},"references-count":23,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["3463"],"URL":"https:\/\/doi.org\/10.1038\/s41598-025-03463-0","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,2]]},"assertion":[{"value":"26 November 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 May 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 July 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"The Medical Ethics Committee of the Second Hospital of Jilin University (2024) Annual Review No. (421). approved this retrospective study.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"This study was conducted in accordance with the tenets of the Declaration of Helsinki, was obtained.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Accordance statement"}},{"value":"Informed consent was waived by the Medical Ethics Committee of the Second Hospital of Jilin University.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}],"article-number":"22939"}}