{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T22:13:51Z","timestamp":1790720031207,"version":"4.1.0"},"reference-count":44,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.fr","clinicalkey.jp","clinicalkey.es","clinicalkey.com.au","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["World Neurosurgery"],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1016\/j.wneu.2024.04.145","type":"journal-article","created":{"date-parts":[[2024,4,27]],"date-time":"2024-04-27T15:43:35Z","timestamp":1714232615000},"page":"35-44","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":15,"special_numbering":"C","title":["Automatic Segmentation of Vestibular Schwannomas: A Systematic Review"],"prefix":"10.1016","volume":"188","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8586-3494","authenticated-orcid":false,"given":"Kerem","family":"Nernekli","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amit R.","family":"Persad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yusuke S.","family":"Hori","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ulas","family":"Yener","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emrah","family":"Celtikci","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mustafa Caglar","family":"Sahin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6475-7094","authenticated-orcid":false,"given":"Alperen","family":"Sozer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3312-3475","authenticated-orcid":false,"given":"Batuhan","family":"Sozer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9858-2592","authenticated-orcid":false,"given":"David J.","family":"Park","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steven D.","family":"Chang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.wneu.2024.04.145_bib1","doi-asserted-by":"crossref","first-page":"981","DOI":"10.2147\/CLEP.S218670","article-title":"Epidemiology of vestibular schwannomas - prospective 40-year data from an unselected National cohort","volume":"11","author":"Reznitsky","year":"2019","journal-title":"Clin Epidemiol"},{"key":"10.1016\/j.wneu.2024.04.145_bib2","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1177\/0194599818770629","article-title":"Incidence of vestibular schwannoma over the past half-century: a population-based study of olmsted county, Minnesota","volume":"159","author":"Marinelli","year":"2018","journal-title":"Otolaryngol Head Neck Surg"},{"key":"10.1016\/j.wneu.2024.04.145_bib3","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1093\/aje\/kwu081","article-title":"Loud Noise exposure and acoustic neuroma","volume":"180","author":"Fisher","year":"2014","journal-title":"Am J Epidemiol"},{"key":"10.1016\/j.wneu.2024.04.145_bib4","first-page":"1026","article-title":"Evidence-based surveillance protocol for vestibular schwannomas: a long-term analysis of tumor growth using conditional probability","volume":"137","author":"Borsetto","year":"2022","journal-title":"J\u00a0Neurosurg"},{"key":"10.1016\/j.wneu.2024.04.145_bib5","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1177\/0194599819835495","article-title":"Recent trends in vestibular schwannoma management: an 11-year analysis of the National cancer database","volume":"161","author":"Torres","year":"2019","journal-title":"Otolaryngol Head Neck Surg"},{"key":"10.1016\/j.wneu.2024.04.145_bib6","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1001\/jama.2023.12222","article-title":"Upfront radiosurgery vs a wait-and-scan approach for small- or medium-sized vestibular schwannoma: the V-REX randomized clinical trial","volume":"330","author":"Dhayalan","year":"2023","journal-title":"JAMA"},{"key":"10.1016\/j.wneu.2024.04.145_bib7","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-020-68489-y","article-title":"MRI based volumetric measurements of vestibular schwannomas in patients with neurofibromatosis type 2: comparison of three different software tools","volume":"10","author":"Kollmann","year":"2020","journal-title":"Sci Rep"},{"key":"10.1016\/j.wneu.2024.04.145_bib8","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1007\/s00234-009-0529-4","article-title":"Follow-up assessment of vestibular schwannomas: volume quantification versus two-dimensional measurements","volume":"51","author":"Van De Langenberg","year":"2009","journal-title":"Neuroradiology"},{"key":"10.1016\/j.wneu.2024.04.145_bib9","doi-asserted-by":"crossref","first-page":"1335","DOI":"10.1056\/NEJMra2020394","article-title":"Vestibular schwannomas. Ingelfinger JR","volume":"384","author":"Carlson","year":"2021","journal-title":"N\u00a0Engl J Med"},{"key":"10.1016\/j.wneu.2024.04.145_bib10","doi-asserted-by":"crossref","first-page":"642","DOI":"10.1097\/00129492-200307000-00019","article-title":"New and modified reporting systems from the consensus meeting on systems for reporting results in vestibular schwannoma","volume":"24","author":"Kanzaki","year":"2003","journal-title":"Otol Neurotol"},{"key":"10.1016\/j.wneu.2024.04.145_bib11","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1111\/j.1749-4486.2010.02099.x","article-title":"Analysis of vestibular schwannoma size in multiple dimensions: a comparative cohort study of different measurement techniques","volume":"35","author":"Varughese","year":"2010","journal-title":"Clin Otolaryngol"},{"key":"10.1016\/j.wneu.2024.04.145_bib12","first-page":"706","article-title":"Growth of untreated vestibular schwannoma: a prospective study","volume":"116","author":"Varughese","year":"2012","journal-title":"J\u00a0Neurosurg"},{"key":"10.1016\/j.wneu.2024.04.145_bib13","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1177\/0194599812447766","article-title":"Three-Dimensional segmented volumetric analysis of sporadic vestibular schwannomas: comparison of segmented and linear measurements","volume":"147","author":"Walz","year":"2012","journal-title":"Otolaryngol Neck Surg"},{"key":"10.1016\/j.wneu.2024.04.145_bib14","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.clineuro.2015.08.003","article-title":"Analysis of vestibular schwannoma size: a literature review on consistency with measurement techniques","volume":"138","author":"Li","year":"2015","journal-title":"Clin Neurol Neurosurg"},{"key":"10.1016\/j.wneu.2024.04.145_bib15","first-page":"1218","article-title":"Extent of resection and the long-term durability of vestibular schwannoma surgery","volume":"114","author":"Sughrue","year":"2011","journal-title":"J\u00a0Neurosurg"},{"key":"10.1016\/j.wneu.2024.04.145_bib16","first-page":"1","article-title":"Management of 1000 vestibular schwannomas (acoustic neuromas): clinical presentation","volume":"40","author":"Matthies","year":"1997","journal-title":"Neurosurgery"},{"key":"10.1016\/j.wneu.2024.04.145_bib17","first-page":"1","article-title":"Defining clinically significant tumor size in vestibular schwannoma to inform timing of microsurgery during wait-and-scan management: moving beyond minimum detectable growth","volume":"15","author":"Macielak","year":"2021","journal-title":"J\u00a0Neurosurg"},{"issue":"Suppl","key":"10.1016\/j.wneu.2024.04.145_bib19","first-page":"195","article-title":"Radiosurgery of vestibular schwannomas: summary of experience in 829 cases","volume":"102","author":"Lunsford","year":"2005","journal-title":"J\u00a0Neurosurg"},{"key":"10.1016\/j.wneu.2024.04.145_bib20","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1038\/s41597-021-01064-w","article-title":"Segmentation of vestibular schwannoma from MRI, an open annotated dataset and baseline algorithm","volume":"8","author":"Shapey","year":"2021","journal-title":"Sci Data"},{"key":"10.1016\/j.wneu.2024.04.145_bib21","series-title":"Deep Learning in Medical Image Analysis. Vol 1213. Advances in Experimental Medicine and Biology","first-page":"23","article-title":"Medical image synthesis via deep learning","author":"Yu","year":"2020"},{"key":"10.1016\/j.wneu.2024.04.145_bib22","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2021.103444","article-title":"Medical image registration using unsupervised deep neural network: a scoping literature review","volume":"73","author":"Abbasi","year":"2022","journal-title":"Biomed Signal Process Control"},{"key":"10.1016\/j.wneu.2024.04.145_bib23","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1016\/j.imed.2021.03.003","article-title":"A\u00a0survey on deep learning in medical image reconstruction","volume":"1","author":"Ahishakiye","year":"2021","journal-title":"Intell Med"},{"key":"10.1016\/j.wneu.2024.04.145_bib24","doi-asserted-by":"crossref","first-page":"476","DOI":"10.1016\/j.wneu.2017.09.149","article-title":"Machine learning and Neurosurgical outcome prediction: a systematic review","volume":"109","author":"Senders","year":"2018","journal-title":"World Neurosurg"},{"key":"10.1016\/j.wneu.2024.04.145_bib25","series-title":"U-net: Convolutional Networks for Biomedical Image Segmentation","author":"Ronneberger","year":"2015"},{"key":"10.1016\/j.wneu.2024.04.145_bib26","article-title":"The PRISMA 2020 statement: an updated guideline for reporting systematic reviews","volume":"29","author":"Page","year":"2021","journal-title":"BMJ"},{"key":"10.1016\/j.wneu.2024.04.145_bib27","doi-asserted-by":"crossref","first-page":"171","DOI":"10.3171\/2019.9.JNS191949","article-title":"An artificial intelligence framework for automatic segmentation and volumetry of vestibular schwannomas from contrast-enhanced T1-weighted and high-resolution T2-weighted MRI","volume":"134","author":"Shapey","year":"2021","journal-title":"J Neurosurg"},{"key":"10.1016\/j.wneu.2024.04.145_bib28","doi-asserted-by":"crossref","DOI":"10.1148\/ryai.210300","article-title":"Fully automated 3D vestibular Schwannoma segmentation with and without gadolinium-based contrast material: a multicenter, multivendor study","volume":"4","author":"Neve","year":"2022","journal-title":"Radiol Artif Intell"},{"key":"10.1016\/j.wneu.2024.04.145_bib29","doi-asserted-by":"crossref","first-page":"1227","DOI":"10.1097\/MAO.0000000000003693","article-title":"Segmentation of vestibular schwannomas on postoperative gadolinium-enhanced T1-weighted and noncontrast T2-weighted magnetic resonance imaging using deep learning","volume":"43","author":"Yao","year":"2022","journal-title":"Otol Neurotol"},{"key":"10.1016\/j.wneu.2024.04.145_bib30","doi-asserted-by":"crossref","first-page":"3106","DOI":"10.1038\/s41598-021-82665-8","article-title":"Applying artificial intelligence to longitudinal imaging analysis of vestibular schwannoma following radiosurgery","volume":"11","author":"chia","year":"2021","journal-title":"Sci Rep"},{"key":"10.1016\/j.wneu.2024.04.145_bib31","doi-asserted-by":"crossref","DOI":"10.1002\/lary.28695","article-title":"Automated detection of vestibular schwannoma growth using a two-dimensional U-Net convolutional neural network","volume":"131","author":"George-Jones","year":"2021","journal-title":"Laryngoscope"},{"key":"10.1016\/j.wneu.2024.04.145_bib32","doi-asserted-by":"crossref","first-page":"1252","DOI":"10.1097\/MAO.0000000000003687","article-title":"Machine learning for automated calculation of vestibular schwannoma volumes","volume":"43","author":"Cass","year":"2022","journal-title":"Otol Neurotol"},{"key":"10.1016\/j.wneu.2024.04.145_bib33","doi-asserted-by":"crossref","first-page":"2754","DOI":"10.1002\/lary.30516","article-title":"Joint vestibular schwannoma enlargement prediction and segmentation using a deep multi-task model","volume":"133","author":"Wang","year":"2023","journal-title":"Laryngoscope"},{"key":"10.1016\/j.wneu.2024.04.145_bib34","doi-asserted-by":"crossref","first-page":"101911","DOI":"10.1016\/j.artmed.2020.101911","article-title":"Combining analysis of multi-parametric MR images into a convolutional neural network: Precise target delineation for vestibular schwannoma treatment planning","volume":"107","author":"Lee","year":"2020","journal-title":"Artif Intell Med"},{"key":"10.1016\/j.wneu.2024.04.145_bib35","doi-asserted-by":"crossref","first-page":"126295","DOI":"10.1016\/j.neucom.2023.126295","article-title":"TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency","volume":"544","author":"Wu","year":"2023","journal-title":"Neurocomputing"},{"key":"10.1016\/j.wneu.2024.04.145_bib36","doi-asserted-by":"crossref","first-page":"e602","DOI":"10.1097\/MAO.0000000000003959","article-title":"Automated radiomic analysis of vestibular schwannomas and inner ears using contrast-enhanced T1-weighted and T2-weighted magnetic resonance imaging sequences and artificial intelligence","volume":"44","author":"Neves","year":"2023","journal-title":"Otol Neurotol"},{"key":"10.1016\/j.wneu.2024.04.145_bib37","doi-asserted-by":"crossref","first-page":"1207149","DOI":"10.3389\/fnins.2023.1207149","article-title":"Accurate segmentation algorithm of acoustic neuroma in the cerebellopontine angle based on ACP-TransUNet","volume":"17","author":"Zhang","year":"2023","journal-title":"Front Neurosci"},{"key":"10.1016\/j.wneu.2024.04.145_bib38","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1186\/s13014-023-02263-y","article-title":"Automatic segmentation of vestibular schwannomas from T1-weighted MRI with a deep neural network","volume":"18","author":"Wang","year":"2023","journal-title":"Radiat Oncol Lond Engl"},{"key":"10.1016\/j.wneu.2024.04.145_bib39","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1093\/neuonc\/noz153","article-title":"EANO guideline on the diagnosis and treatment of vestibular schwannoma","volume":"22","author":"Goldbrunner","year":"2020","journal-title":"Neuro Oncol"},{"key":"10.1016\/j.wneu.2024.04.145_bib40","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1177\/0194599818765717","article-title":"National trends in vestibular schwannoma surgery: influence of patient characteristics on outcomes","volume":"159","author":"Hatch","year":"2018","journal-title":"Otolaryngol Neck Surg"},{"key":"10.1016\/j.wneu.2024.04.145_bib41","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2022.102628","article-title":"CrossMoDA 2021 challenge: benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation","volume":"83","author":"Dorent","year":"2023","journal-title":"Med Image Anal"},{"key":"10.1016\/j.wneu.2024.04.145_bib42","doi-asserted-by":"crossref","first-page":"1252","DOI":"10.1097\/MAO.0000000000003687","article-title":"Machine learning for automated calculation of vestibular schwannoma volumes","volume":"43","author":"Cass","year":"2022","journal-title":"Otol Neurotol"},{"key":"10.1016\/j.wneu.2024.04.145_bib43","doi-asserted-by":"crossref","first-page":"2726","DOI":"10.1038\/s41598-022-06484-1","article-title":"Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine","volume":"12","author":"Guo","year":"2022","journal-title":"Sci Rep"},{"key":"10.1016\/j.wneu.2024.04.145_bib44","doi-asserted-by":"crossref","first-page":"1684","DOI":"10.1056\/NEJMc1908881","article-title":"Identification of anonymous MRI research participants with face-recognition software","volume":"381","author":"Schwarz","year":"2019","journal-title":"N\u00a0Engl J Med"},{"key":"10.1016\/j.wneu.2024.04.145_bib45","doi-asserted-by":"crossref","DOI":"10.3389\/fpsyt.2021.617997","article-title":"Multisite comparison of MRI defacing software across multiple cohorts","volume":"12","author":"Theyers","year":"2021","journal-title":"Front Psychiatry"}],"container-title":["World Neurosurgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1878875024007198?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1878875024007198?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T06:23:02Z","timestamp":1727763782000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1878875024007198"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8]]},"references-count":44,"alternative-id":["S1878875024007198"],"URL":"https:\/\/doi.org\/10.1016\/j.wneu.2024.04.145","relation":{},"ISSN":["1878-8750"],"issn-type":[{"value":"1878-8750","type":"print"}],"subject":[],"published":{"date-parts":[[2024,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Automatic Segmentation of Vestibular Schwannomas: A Systematic Review","name":"articletitle","label":"Article Title"},{"value":"World Neurosurgery","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.wneu.2024.04.145","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}