{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,14]],"date-time":"2026-09-14T12:55:21Z","timestamp":1789390521727,"version":"build-2803163510"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T00:00:00Z","timestamp":1715299200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T00:00:00Z","timestamp":1715299200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"the key program of Jiangsu Commission of Health","award":["K2023027"],"award-info":[{"award-number":["K2023027"]}]},{"name":"the key program of Jiangsu Commission of Health","award":["K2023027"],"award-info":[{"award-number":["K2023027"]}]},{"name":"the key program of Jiangsu Commission of Health","award":["K2023027"],"award-info":[{"award-number":["K2023027"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol"],"DOI":"10.1007\/s00330-024-10785-6","type":"journal-article","created":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T18:02:18Z","timestamp":1715364138000},"page":"7115-7124","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Machine learning in prenatal MRI predicts postnatal ventricular abnormalities in fetuses with isolated ventriculomegaly"],"prefix":"10.1007","volume":"34","author":[{"given":"Xue","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daqiang","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaowen","family":"Gu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhisen","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yisha","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhou","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jibin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8974-3094","authenticated-orcid":false,"given":"Yonggang","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,5,10]]},"reference":[{"key":"10785_CR1","doi-asserted-by":"publisher","first-page":"711","DOI":"10.1148\/radiology.169.3.3055034","volume":"169","author":"JD Cardoza","year":"1988","unstructured":"Cardoza JD, Goldstein RB, Filly RA (1988) Exclusion of fetal ventriculomegaly with a single measurement: the width of the lateral ventricular atrium. Radiology 169:711\u2013714. https:\/\/doi.org\/10.1148\/radiology.169.3.3055034","journal-title":"Radiology"},{"key":"10785_CR2","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1002\/pd.310","volume":"22","author":"G Pilu","year":"2002","unstructured":"Pilu G, Hobbins JC (2002) Sonography of fetal cerebrospinal anomalies. Prenat Diagn 22:321\u2013330. https:\/\/doi.org\/10.1002\/pd.310","journal-title":"Prenat Diagn"},{"key":"10785_CR3","doi-asserted-by":"publisher","first-page":"1019","DOI":"10.1002\/uog.5176","volume":"30","author":"LJ Salomon","year":"2007","unstructured":"Salomon LJ, Garel C (2007) Magnetic resonance imaging examination of the fetal brain. Ultrasound Obstet Gynecol 30:1019\u20131032. https:\/\/doi.org\/10.1002\/uog.5176","journal-title":"Ultrasound Obstet Gynecol"},{"key":"10785_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2023.103357","volume":"37","author":"T Tarui","year":"2023","unstructured":"Tarui T, Madan N, Graham G et al (2023) Comprehensive quantitative analyses of fetal magnetic resonance imaging in isolated cerebral ventriculomegaly. Neuroimage Clin 37:103357. https:\/\/doi.org\/10.1016\/j.nicl.2023.103357","journal-title":"Neuroimage Clin"},{"key":"10785_CR5","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1159\/000516378","volume":"56","author":"QM Li","year":"2021","unstructured":"Li QM, Liao HZ, Wang WB et al (2021) Prognostic analysis and risk factors associated with fetal ventriculomegaly. Pediatr Neurosurg 56:407\u2013415. https:\/\/doi.org\/10.1159\/000516378","journal-title":"Pediatr Neurosurg"},{"key":"10785_CR6","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.ijgo.2006.01.026","volume":"93","author":"BV Parilla","year":"2006","unstructured":"Parilla BV, Endres LK, Dinsmoor MJ, Curran L (2006) In utero progression of mild fetal ventriculomegaly. Int J Gynecol Obstetr 93:106\u2013109. https:\/\/doi.org\/10.1016\/j.ijgo.2006.01.026","journal-title":"Int J Gynecol Obstetr"},{"key":"10785_CR7","doi-asserted-by":"publisher","first-page":"697","DOI":"10.1002\/pd.138","volume":"21","author":"EN Kelly","year":"2001","unstructured":"Kelly EN, Allen VM, Seaward G, Windrim R, Ryan G (2001) Mild ventriculomegaly in the fetus, natural history, associated findings and outcome of isolated mild ventriculomegaly: a literature review. Prenat Diagn 21:697\u2013700. https:\/\/doi.org\/10.1002\/pd.138","journal-title":"Prenat Diagn"},{"key":"10785_CR8","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1002\/uog.7307","volume":"34","author":"K Melchiorre","year":"2009","unstructured":"Melchiorre K, Bhide A, Gika AD, Pilu G, Papageorghiou AT (2009) Counseling in isolated mild fetal ventriculomegaly. Ultrasound Obstetr Gynecol 34:212\u2013224. https:\/\/doi.org\/10.1002\/uog.7307","journal-title":"Ultrasound Obstetr Gynecol"},{"key":"10785_CR9","doi-asserted-by":"publisher","first-page":"300","DOI":"10.3171\/2016.9.Peds16210","volume":"19","author":"JM Pisapia","year":"2017","unstructured":"Pisapia JM, Rozycki M, Akbari H et al (2017) Correlations of atrial diameter and frontooccipital horn ratio with ventricle size in fetal ventriculomegaly. J Neurosurg Pediatr 19:300\u2013306. https:\/\/doi.org\/10.3171\/2016.9.Peds16210","journal-title":"J Neurosurg Pediatr"},{"key":"10785_CR10","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1016\/j.siny.2012.06.001","volume":"17","author":"L McKechnie","year":"2012","unstructured":"McKechnie L, Vasudevan C, Levene M (2012) Neonatal outcome of congenital ventriculomegaly. Seminars Fetal Neonatal Med 17:301\u2013307. https:\/\/doi.org\/10.1016\/j.siny.2012.06.001","journal-title":"Seminars Fetal Neonatal Med"},{"key":"10785_CR11","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/978-3-7091-6738-0_15","volume":"81","author":"A Pe\u00f1a","year":"2002","unstructured":"Pe\u00f1a A, Harris NG, Bolton MD, Czosnyka M, Pickard JD (2002) Communicating hydrocephalus: the biomechanics of progressive ventricular enlargement revisited. Acta Neurochir Suppl 81:59\u201363. https:\/\/doi.org\/10.1007\/978-3-7091-6738-0_15","journal-title":"Acta Neurochir Suppl"},{"key":"10785_CR12","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.neuron.2021.12.009","volume":"110","author":"PQ Duy","year":"2022","unstructured":"Duy PQ, Rakic P, Alper SL et al (2022) Brain ventricles as windows into brain development and disease. Neuron 110:12\u201315. https:\/\/doi.org\/10.1016\/j.neuron.2021.12.009","journal-title":"Neuron"},{"key":"10785_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.neulet.2021.136065","volume":"759","author":"P Svancer","year":"2021","unstructured":"Svancer P, Spaniel F (2021) Brain ventricular volume changes in schizophrenia. A narrative review. Neurosci Lett 759:136065. https:\/\/doi.org\/10.1016\/j.neulet.2021.136065","journal-title":"Neurosci Lett"},{"key":"10785_CR14","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1227\/00006123-199410000-00010","volume":"35","author":"D Pang","year":"1994","unstructured":"Pang D, Altschuler E (1994) Low-pressure hydrocephalic state and viscoelastic alterations in the brain. Neurosurgery 35:643\u2013655. https:\/\/doi.org\/10.1227\/00006123-199410000-00010.","journal-title":"Neurosurgery"},{"key":"10785_CR15","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1097\/AOG.0b013e3182732b53","volume":"120","author":"T Hannon","year":"2012","unstructured":"Hannon T, Tennant WG, Rankin J, Robson SC (2012) Epidemiology, natural history, progression, and postnatal outcome of severe fetal ventriculomegaly. Obstetr Gynecol 120:1345\u20131353. https:\/\/doi.org\/10.1097\/AOG.0b013e3182732b53","journal-title":"Obstetr Gynecol"},{"key":"10785_CR16","doi-asserted-by":"publisher","first-page":"901","DOI":"10.1002\/pd.5503","volume":"39","author":"Q Chang","year":"2019","unstructured":"Chang Q, Peng Y, Huang Q et al (2019) Prognosis of fetuses with ventriculomegaly: an observational retrospective study. Prenat Diagn 39:901\u2013909. https:\/\/doi.org\/10.1002\/pd.5503","journal-title":"Prenat Diagn"},{"key":"10785_CR17","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1001\/jamapediatrics.2017.3993","volume":"172","author":"JM Pisapia","year":"2018","unstructured":"Pisapia JM, Akbari H, Rozycki M et al (2018) Use of fetal magnetic resonance image analysis and machine learning to predict the need for postnatal cerebrospinal fluid diversion in fetal ventriculomegaly. JAMA Pediatr 172:128\u2013135. https:\/\/doi.org\/10.1001\/jamapediatrics.2017.3993","journal-title":"JAMA Pediatr"},{"key":"10785_CR18","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1159\/000449003","volume":"52","author":"JL Gu","year":"2017","unstructured":"Gu JL, Johnson A, Kerr M et al (2017) Correlating prenatal imaging findings of fetal ventriculomegaly with the need for surgical intervention in the first 3 months after birth. Pediatr Neurosurg 52:20\u201325. https:\/\/doi.org\/10.1159\/000449003","journal-title":"Pediatr Neurosurg"},{"key":"10785_CR19","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1002\/uog.19038","volume":"52","author":"S Carta","year":"2018","unstructured":"Carta S, Kaelin Agten A, Belcaro C, Bhide A (2018) Outcome of fetuses with prenatal diagnosis of isolated severe bilateral ventriculomegaly: systematic review and meta-analysis. Ultrasound Obstet Gynecol 52:165\u2013173. https:\/\/doi.org\/10.1002\/uog.19038","journal-title":"Ultrasound Obstet Gynecol"},{"key":"10785_CR20","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1001\/jamapediatrics.2017.4450","volume":"172","author":"PA Chiarelli","year":"2018","unstructured":"Chiarelli PA, Hauptman JS, Browd SR (2018) Machine learning and the prediction of hydrocephalus: can quantitative image analysis assist the clinician? JAMA Pediatr 172:116\u2013118. https:\/\/doi.org\/10.1001\/jamapediatrics.2017.4450","journal-title":"JAMA Pediatr"},{"key":"10785_CR21","doi-asserted-by":"publisher","first-page":"1485","DOI":"10.1007\/s00381-021-05061-7","volume":"37","author":"AT Hale","year":"2021","unstructured":"Hale AT, Riva-Cambrin J, Wellons JC et al (2021) Machine learning predicts risk of cerebrospinal fluid shunt failure in children: a study from the hydrocephalus clinical research network. Childs Nervous System 37:1485\u20131494. https:\/\/doi.org\/10.1007\/s00381-021-05061-7","journal-title":"Childs Nervous System"},{"key":"10785_CR22","doi-asserted-by":"publisher","unstructured":"Shi W, Yan GH, Li YM et al (2020) Fetal brain age estimation and anomaly detection using attention-based deep ensembles with uncertainty. Neuroimage 223. https:\/\/doi.org\/10.1016\/j.neuroimage.2020.117316","DOI":"10.1016\/j.neuroimage.2020.117316"},{"key":"10785_CR23","doi-asserted-by":"publisher","first-page":"1661","DOI":"10.1007\/s00381-020-04657-9","volume":"36","author":"MF Varela","year":"2020","unstructured":"Varela MF, Miyabe MM, Oria M (2020) Fetal brain damage in congenital hydrocephalus. Childs Nerv Syst 36:1661\u20131668. https:\/\/doi.org\/10.1007\/s00381-020-04657-9","journal-title":"Childs Nerv Syst"},{"key":"10785_CR24","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1007\/s00401-012-0992-6","volume":"124","author":"R Roales-Bujan","year":"2012","unstructured":"Roales-Bujan R, Paez P, Guerra M et al (2012) Astrocytes acquire morphological and functional characteristics of ependymal cells following disruption of ependyma in hydrocephalus. Acta Neuropathologica 124:531\u2013546. https:\/\/doi.org\/10.1007\/s00401-012-0992-6","journal-title":"Acta Neuropathologica"},{"key":"10785_CR25","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/s00401-009-0624-y","volume":"119","author":"MR Del Bigio","year":"2010","unstructured":"Del Bigio MR (2010) Ependymal cells: biology and pathology. Acta Neuropathol 119:55\u201373. https:\/\/doi.org\/10.1007\/s00401-009-0624-y","journal-title":"Acta Neuropathol"},{"key":"10785_CR26","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1002\/ddrr.94","volume":"16","author":"MR Del Bigio","year":"2010","unstructured":"Del Bigio MR (2010) Neuropathology and structural changes in hydrocephalus. Dev Disabil Res Rev 16:16\u201322. https:\/\/doi.org\/10.1002\/ddrr.94","journal-title":"Dev Disabil Res Rev"},{"key":"10785_CR27","doi-asserted-by":"publisher","first-page":"653","DOI":"10.1097\/nen.0000000000000203","volume":"74","author":"MM Guerra","year":"2015","unstructured":"Guerra MM, Henzi R, Ortloff A et al (2015) Cell junction pathology of neural stem cells is associated with ventricular zone disruption, hydrocephalus, and abnormal neurogenesis. J Neuropathol Exp Neurol 74:653\u2013671. https:\/\/doi.org\/10.1097\/nen.0000000000000203","journal-title":"J Neuropathol Exp Neurol"},{"key":"10785_CR28","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1007\/bf00334666","volume":"85","author":"MR Delbigio","year":"1993","unstructured":"Delbigio MR (1993) Neuropathological changescaused by hydrocephalus. Acta Neuropathol 85:573\u2013585. https:\/\/doi.org\/10.1007\/bf00334666","journal-title":"Acta Neuropathol"},{"key":"10785_CR29","doi-asserted-by":"publisher","unstructured":"Horgos BMM, Boer A, Buruiana A et al (2023) White matter changes in fetal brains with ventriculomegaly. Front Neuroanat 17:1160742. https:\/\/doi.org\/10.3389\/fnana.2023.1160742","DOI":"10.3389\/fnana.2023.1160742"},{"key":"10785_CR30","doi-asserted-by":"publisher","unstructured":"Vasung L, Rollins CK, Zhang J et al (2022) Abnormal development of transient fetal zones in mild isolated fetal ventriculomegaly. Cereb Cortex 33:1130\u20131139. https:\/\/doi.org\/10.1093\/cercor\/bhac125","DOI":"10.1093\/cercor\/bhac125"}],"container-title":["European Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-024-10785-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00330-024-10785-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-024-10785-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T15:06:01Z","timestamp":1730127961000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00330-024-10785-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,10]]},"references-count":30,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2024,11]]}},"alternative-id":["10785"],"URL":"https:\/\/doi.org\/10.1007\/s00330-024-10785-6","relation":{},"ISSN":["1432-1084"],"issn-type":[{"value":"1432-1084","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,10]]},"assertion":[{"value":"13 February 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 March 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 March 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 May 2024","order":4,"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 scientific guarantor of this publication is Xue Chen (cx18817821423@126.com), Department of Radiology, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou City, Jiangsu Province, 215002, China.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Guarantor"}},{"value":"Peng Wu is an employee of Shanghai Philips Healthcare Company. The company has no role in designing and performing the analysing and interpreting the data. The other authors (Xue Chen, Daqiang Xu, Xiaowen Gu, Zhisen Li, Yisha Zhang, Zhou Huang, Jibin Zhang, Yonggang Li) of this manuscript are doctors from the Affiliated Suzhou Hospital of Nanjing Medical University and the First Affiliated Hospital of Soochow University. The other authors (Xue Chen, Daqiang Xu, Xiaowen Gu, Zhisen Li, Yisha Zhang, Zhou Huang, Jibin Zhang, Yonggang Li) of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"No complex statistical methods were necessary for this paper.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Statistics and biometry"}},{"value":"Written informed consent was waived by the Institutional Review Board.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}},{"value":"The institutional review board at the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, approved the research and waived the necessity for permission for this retrospective cohort study. The approval number is KL901247. The study was conducted ethically in accordance with the World Medical Association Declaration of Helsinki.","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"No study subject or cohort have been previously reported.","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Study subjects or cohorts overlap"}},{"order":8,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}