{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T03:40:37Z","timestamp":1780544437777,"version":"3.54.1"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T00:00:00Z","timestamp":1758758400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T00:00:00Z","timestamp":1758758400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Abdom Radiol"],"DOI":"10.1007\/s00261-025-05206-1","type":"journal-article","created":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T07:54:59Z","timestamp":1758786899000},"page":"2215-2227","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A radiomics nomogram utilizing T2-weighted MRI for accurate diagnosis of rectocele"],"prefix":"10.1007","volume":"51","author":[{"given":"Weiwei","family":"Lai","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guanghong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zeyun","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,9,25]]},"reference":[{"key":"5206_CR1","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 2013;24:1835\u201341.","journal-title":"Int Urogynecol J"},{"key":"5206_CR2","doi-asserted-by":"publisher","first-page":"1403","DOI":"10.1097\/01.AOG.0000147598.50638.15","volume":"104","author":"GW Cundiff","year":"2004","unstructured":"Cundiff GW, Fenner D. Evaluation and treatment of women with rectocele: focus on associated defecatory and sexual dysfunction. Obstet Gynecol 2004;104:1403\u201321.","journal-title":"Obstet Gynecol"},{"key":"5206_CR3","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1111\/ans.14068","volume":"87","author":"EF Zimmermann","year":"2017","unstructured":"Zimmermann EF, Hayes RS, Daniels IR, Smart NJ, Warwick AM. Transperineal rectocele repair: a systematic review. ANZ J Surg 2017;87:773\u2013779.","journal-title":"ANZ J Surg"},{"key":"5206_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, Arif-Tiwari H, Palmer SL, Kamath A, Lewis SC, Flusberg M, Kobi M, Lockhart ME, Chernyak V. MR defecography review. Abdom Radiol (NY) 2021;46:1334\u20131350.","journal-title":"Abdom Radiol (NY)"},{"key":"5206_CR5","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, Gr\u00e9goire V, Gibon D, Kirisli H, Pasquier D, Thariat J, Vera P. Radiomics: Principles and radiotherapy applications. Crit Rev Oncol Hematol 2019;138:44\u201350.","journal-title":"Crit Rev Oncol Hematol"},{"key":"5206_CR6","doi-asserted-by":"publisher","first-page":"2869","DOI":"10.1007\/s00192-021-05064-7","volume":"33","author":"X Wang","year":"2022","unstructured":"Wang X, He D, Feng F, Ashton-Miller JA, DeLancey JOL, Luo J. Multi-label classification of pelvic organ prolapse using stress magnetic resonance imaging with deep learning. Int Urogynecol J 2022;33:2869\u20132877.","journal-title":"Int Urogynecol J"},{"key":"5206_CR7","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1186\/s13244-024-01719-3","volume":"15","author":"W Li","year":"2024","unstructured":"Li W, Liu J, Xiao Z, Zhu D, Liao J, Yu W, Feng J, Qian B, Fang Y, Li S. Automatic grading of knee osteoarthritis with a plain radiograph radiomics model: combining anteroposterior and lateral images. Insights Imaging 2024;15:143.","journal-title":"Insights Imaging"},{"key":"5206_CR8","first-page":"102","volume":"28","author":"RH Lu","year":"1990","unstructured":"Lu RH. [Rectocele: analysis of 239 cases]. Zhonghua Wai Ke Za Zhi. 1990;28:102\u20134, 127.","journal-title":"Zhonghua Wai Ke Za Zhi"},{"key":"5206_CR9","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1097\/00042307-200207000-00014","volume":"12","author":"JL Segal","year":"2002","unstructured":"Segal JL, Karram MM. Evaluation and management of rectoceles. Curr Opin Urol 2002;12:345\u201352.","journal-title":"Curr Opin Urol"},{"issue":"Suppl 1","key":"5206_CR10","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1111\/j.1471-0528.2004.00472.x","volume":"111","author":"A Monga","year":"2004","unstructured":"Monga A. Management of the posterior compartment. BJOG. 2004;111 Suppl 1:73\u20138.","journal-title":"BJOG"},{"key":"5206_CR11","doi-asserted-by":"publisher","first-page":"1624","DOI":"10.1038\/ajg.2012.247","volume":"107","author":"R Schey","year":"2012","unstructured":"Schey R, Cromwell J, Rao SS. Medical and surgical management of pelvic floor disorders affecting defecation. Am J Gastroenterol 2012;107:1624\u201333","journal-title":"Am J Gastroenterol"},{"key":"5206_CR12","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/s11604-019-00903-6","volume":"38","author":"F Iacobellis","year":"2020","unstructured":"Iacobellis F, Reginelli A, Berritto D, Gagliardi G, Laporta A, Brillantino A, Renzi A, Scaglione M, Masselli G, Barile A, Romano L, Cappabianca S, Grassi R. Pelvic floor dysfunctions: how to image patients? Jpn J Radiol 2020;38:47\u201363.","journal-title":"Jpn J Radiol"},{"key":"5206_CR13","doi-asserted-by":"publisher","first-page":"462","DOI":"10.1016\/j.ejrad.2006.11.020","volume":"61","author":"KJ Mortele","year":"2007","unstructured":"Mortele KJ, Fairhurst J. Dynamic MR defecography of the posterior compartment: Indications, techniques and MRI features. Eur J Radiol 2007;61:462\u201372.","journal-title":"Eur J Radiol"},{"key":"5206_CR14","first-page":"563","volume":"278","author":"RJ Gillies","year":"2016","unstructured":"Gillies RJ, Kinahan PE, Hricak H. Radiomics: Images Are More than Pictures, They Are Data. Radiology 2016;278:563\u201377.","journal-title":"They Are Data. Radiology"},{"key":"5206_CR15","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1148\/radiol.2018181371","volume":"290","author":"A Rodr\u00edguez-Ruiz","year":"2019","unstructured":"Rodr\u00edguez-Ruiz A, Krupinski E, Mordang JJ, Schilling K, Heywang-K\u00f6brunner SH, Sechopoulos I, Mann RM. Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System. Radiology 2019;290:305\u2013314.","journal-title":"Radiology"},{"key":"5206_CR16","doi-asserted-by":"publisher","first-page":"101864","DOI":"10.1016\/j.tranon.2023.101864","volume":"40","author":"Y Tan","year":"2024","unstructured":"Tan Y, Feng LJ, Huang YH, Xue JW, Long LL, Feng ZB. A comprehensive radiopathological nomogram for the prediction of pathological staging in gastric cancer using CT-derived and WSI-based features. Transl Oncol 2024;40:101864.","journal-title":"Transl Oncol"},{"key":"5206_CR17","doi-asserted-by":"publisher","first-page":"193.e1-6","DOI":"10.1016\/j.ajog.2008.04.029","volume":"199","author":"CJ Robinson","year":"2008","unstructured":"Robinson CJ, Swift S, Johnson DD, Almeida JS. Prediction of pelvic organ prolapse using an artificial neural network. Am J Obstet Gynecol 2008;199:193.e1-6.","journal-title":"Am J Obstet Gynecol"},{"key":"5206_CR18","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1007\/s00192-014-2582-8","volume":"26","author":"S Onal","year":"2015","unstructured":"Onal S, Lai-Yuen S, Bao P, Weitzenfeld A, Hogue D, Hart S. Quantitative assessment of new MRI-based measurements to differentiate low and high stages of pelvic organ prolapse using support vector machines. Int Urogynecol J 2015;26:707\u201313.","journal-title":"Int Urogynecol J"},{"key":"5206_CR19","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1177\/01617346231220000","volume":"46","author":"J Chen","year":"2024","unstructured":"Chen J, Wen Z, Yang X, Jia J, Zhang X, Pian L, Zhao P. Ultrasound-Based Radiomics for the Classification of Henoch-Sch\u00f6nlein Purpura Nephritis in Children. Ultrason Imaging 2024;46:110\u2013120.","journal-title":"Ultrason Imaging"},{"key":"5206_CR20","doi-asserted-by":"publisher","first-page":"425","DOI":"10.2174\/1573405616999200918150259","volume":"17","author":"G Li","year":"2021","unstructured":"Li G, Liu J, Wu J, Tian Y, Ma L, Liu Y, Zhang B, Mou S, Zheng M. Diagnosis of Renal Diseases Based on Machine Learning Methods Using Ultrasound Images. Curr Med Imaging 2021;17:425\u2013432.","journal-title":"Curr Med Imaging"},{"key":"5206_CR21","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.csbj.2014.11.005","volume":"13","author":"K Kourou","year":"2015","unstructured":"Kourou K, Exarchos TP, Exarchos KP, Karamouzis MV, Fotiadis DI. Machine learning applications in cancer prognosis and prediction. Comput Struct Biotechnol J 2015;13:8\u201317.","journal-title":"Comput Struct Biotechnol J"},{"key":"5206_CR22","doi-asserted-by":"publisher","first-page":"5236","DOI":"10.1002\/mp.17171","volume":"51","author":"S Zhu","year":"2024","unstructured":"Zhu S, Chen G, Chen H, Lu Y, Wu M, Zheng B, Liu D, Qian C, Chen Y. Squeeze-and-excitation-attention-based mobile vision transformer for grading recognition of bladder prolapse in pelvic MRI images. Med Phys 2024;51:5236\u20135249.","journal-title":"Med Phys"},{"key":"5206_CR23","doi-asserted-by":"publisher","first-page":"112031","DOI":"10.1016\/j.exger.2022.112031","volume":"171","author":"W Li","year":"2023","unstructured":"Li W, Feng J, Zhu D, Xiao Z, Liu J, Fang Y, Yao L, Qian B, Li S. Nomogram model based on radiomics signatures and age to assist in the diagnosis of knee osteoarthritis. Exp Gerontol 2023;171:112031.","journal-title":"Exp Gerontol"},{"key":"5206_CR24","doi-asserted-by":"publisher","first-page":"5203","DOI":"10.12998\/wjcc.v8.i21.5203","volume":"8","author":"EN Cui","year":"2020","unstructured":"Cui EN, Yu T, Shang SJ, Wang XY, Jin YL, Dong Y, Zhao H, Luo YH, Jiang XR. Radiomics model for distinguishing tuberculosis and lung cancer on computed tomography scans. World J Clin Cases 2020;8:5203\u20135212.","journal-title":"World J Clin Cases"}],"container-title":["Abdominal Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00261-025-05206-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00261-025-05206-1","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00261-025-05206-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T12:20:44Z","timestamp":1775650844000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00261-025-05206-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,25]]},"references-count":24,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2026,5]]}},"alternative-id":["5206"],"URL":"https:\/\/doi.org\/10.1007\/s00261-025-05206-1","relation":{},"ISSN":["2366-0058"],"issn-type":[{"value":"2366-0058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,25]]},"assertion":[{"value":"12 August 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 August 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 September 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 September 2025","order":4,"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"}}]}}