{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T12:18:46Z","timestamp":1767183526117,"version":"3.37.3"},"reference-count":28,"publisher":"BMJ","issue":"1","funder":[{"DOI":"10.13039\/100017955","name":"Fujian Provincial Health and Family Planning Commission","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100017955","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100013795","name":"Fujian Medical University","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100013795","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["J NeuroIntervent Surg"],"accepted":{"date-parts":[[2019,5,19]]},"published-print":{"date-parts":[[2020,1]]},"abstract":"<jats:sec><jats:title>Objective<\/jats:title><jats:p>In this article, a craniocerebral model is introduced for neurosurgical training, which is patient-specific, tactile-realistic, and with adjustable intracranial pressure.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>The patient-specific feature is achieved by modeling from CT scans and magnetic resonance images (MRI). The brain tissue model is built by the hydrogel casting technique, while scalp, skull, vasculature, and lateral ventricles are all-in-one fabricated by three-dimensional (3D) printing. A closed-loop system is integrated to monitor and control the intracranial pressure. 3D measurements, mechanical tests, and simulated external ventricular drain (EVD) placement procedures are conducted on the model.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>A neurosurgical training model is completed with high accuracy (mean deviation 0.36\u2009mm). The hydrogel brain tissue has a stiffness more similar to that of a real brain than the common 3D printed materials. The elasticity modulus of hydrogel brain tissue model is E=25.71\u2009kPa, compared with our softest 3D printed material with E=1.14\u00d710<jats:sup>3<\/jats:sup>\u2009kPa. Ten experienced surgeons rate the tactile realness of the neurosurgical training model at an average point of 4.25 on a scale from 1 (strongly negative) to 5 (strongly positive). The neurosurgical training model is also rated to be realistic in size (4.82), anatomy (4.70), and effective as an aid to improve blind EVD placement skills (4.65).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The neurosurgical training model can provide trainee surgeons with realistic experience in both tactile feedbacks and craniocerebral anatomy, improving their surgical skills.<\/jats:p><\/jats:sec>","DOI":"10.1136\/neurintsurg-2019-015008","type":"journal-article","created":{"date-parts":[[2019,7,18]],"date-time":"2019-07-18T21:25:28Z","timestamp":1563485128000},"page":"94-97","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":16,"title":["Development and evaluation of a craniocerebral model with tactile-realistic feature and intracranial pressure for neurosurgical training"],"prefix":"10.1136","volume":"12","author":[{"given":"Zongchao","family":"Yi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bingwei","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuqing","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shenyue","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenyao","family":"Hong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"239","published-online":{"date-parts":[[2019,7,18]]},"reference":[{"key":"2024111103201057000_12.1.94.1","doi-asserted-by":"crossref","first-page":"930","DOI":"10.3171\/JNS\/2008\/108\/5\/0930","article-title":"Ventricular catheter trajectories from traditional shunt approaches: a morphometric study in adults with hydrocephalus","volume":"108","author":"Lind","year":"2008","journal-title":"J Neurosurg"},{"key":"2024111103201057000_12.1.94.2","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1308\/rcsann.2017.0221","article-title":"Complication rates of external ventricular drain insertion by surgeons of different experience","volume":"100","author":"Yuen","year":"2018","journal-title":"Ann R Coll Surg Engl"},{"key":"2024111103201057000_12.1.94.3","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1097\/SIH.0b013e3182662c69","article-title":"Practice on an augmented reality\/haptic simulator and library of virtual brains improves residents' ability to perform a ventriculostomy","volume":"8","author":"Yudkowsky","year":"2013","journal-title":"Simul Healthc"},{"key":"2024111103201057000_12.1.94.4","first-page":"ONS419","article-title":"Hemorrhagic complications of external ventricular drainage","volume":"59","author":"Maniker","year":"2006","journal-title":"Neurosurgery"},{"key":"2024111103201057000_12.1.94.5","doi-asserted-by":"publisher","DOI":"10.1007\/s00701-007-1458-9"},{"key":"2024111103201057000_12.1.94.6","doi-asserted-by":"publisher","DOI":"10.1097\/CCM.0b013e31829a70a5"},{"key":"2024111103201057000_12.1.94.7","doi-asserted-by":"publisher","DOI":"10.1007\/s12028-008-9154-z"},{"key":"2024111103201057000_12.1.94.8","doi-asserted-by":"publisher","DOI":"10.3171\/2012.11.JNS111384"},{"key":"2024111103201057000_12.1.94.9","doi-asserted-by":"crossref","first-page":"991","DOI":"10.1002\/lary.24912","article-title":"Impact of resident surgeons on procedure length based on common pediatric otolaryngology cases","volume":"125","author":"Puram","year":"2015","journal-title":"Laryngoscope"},{"key":"2024111103201057000_12.1.94.10","doi-asserted-by":"crossref","first-page":"955","DOI":"10.3171\/2014.11.JNS14890","article-title":"Impact of resident participation on morbidity and mortality in neurosurgical procedures: an analysis of 16,098 patients","volume":"122","author":"Bydon","year":"2015","journal-title":"J Neurosurg"},{"key":"2024111103201057000_12.1.94.11","doi-asserted-by":"crossref","first-page":"1015","DOI":"10.1016\/j.wneu.2017.06.140","article-title":"Virtual reality and simulation in neurosurgical training","volume":"106","author":"Bernardo","year":"2017","journal-title":"World Neurosurg"},{"key":"2024111103201057000_12.1.94.12","doi-asserted-by":"publisher","DOI":"10.1136\/neurintsurg-2018-014036"},{"key":"2024111103201057000_12.1.94.13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s00381-015-2923-z","article-title":"The role of simulation in neurosurgery","volume":"32","author":"Rehder","year":"2016","journal-title":"Childs Nerv Syst"},{"issue":"9\u201312","key":"2024111103201057000_12.1.94.14","doi-asserted-by":"crossref","first-page":"2043","DOI":"10.1007\/s00170-013-5448-1","article-title":"Developing a 3D colour image reproduction system for additive manufacturing of facial prostheses","volume":"70","author":"Xiao","year":"2014","journal-title":"Int J Adv Manuf Technol"},{"issue":"9\u201312","key":"2024111103201057000_12.1.94.15","doi-asserted-by":"crossref","first-page":"1643","DOI":"10.1007\/s00170-013-5587-4","article-title":"3D additive manufacture of oral and maxillofacial surgical models for preoperative planning","volume":"71","author":"Thomas","year":"2014","journal-title":"Int J Adv Manuf Technol"},{"key":"2024111103201057000_12.1.94.16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s00170-017-1480-x","article-title":"Colour quality of facial prostheses in additive manufacturing","volume":"96","author":"Sohaib","year":"2018","journal-title":"Int J Adv Manuf Technol"},{"key":"2024111103201057000_12.1.94.17","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1016\/j.wneu.2016.04.069","article-title":"Development of three-dimensional printed craniocerebral models for simulated neurosurgery","volume":"91","author":"Lan","year":"2016","journal-title":"World Neurosurg"},{"key":"2024111103201057000_12.1.94.18","doi-asserted-by":"crossref","first-page":"1333","DOI":"10.1016\/j.wneu.2015.06.016","article-title":"Ventriculostomy simulation using patient-specific ventricular anatomy, 3D printing, and hydrogel casting","volume":"84","author":"Ryan","year":"2015","journal-title":"World Neurosurg"},{"key":"2024111103201057000_12.1.94.19","doi-asserted-by":"crossref","unstructured":"Crossley R , Liebig T , Holtmannspoetter M , et al . Validation studies of virtual reality simulation performance metrics for mechanical thrombectomy in ischemic stroke. J Neurointerv Surg 2019:neurintsurg-2018-014510.doi:10.1136\/neurintsurg-2018-014510","DOI":"10.1136\/neurintsurg-2018-014510"},{"key":"2024111103201057000_12.1.94.20","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1227\/01.neu.0000279734.22931.21","article-title":"Virtual reality in neurosurgical education: part-task ventriculostomy simulation with dynamic visual and haptic feedback","volume":"61","author":"Lemole","year":"2007","journal-title":"Neurosurgery"},{"issue":"Suppl 1","key":"2024111103201057000_12.1.94.21","doi-asserted-by":"crossref","first-page":"S127","DOI":"10.1227\/NEU.0000000000000060","article-title":"Evolving virtual reality simulation in neurosurgery","volume":"73","author":"Schirmer","year":"2013","journal-title":"Neurosurgery"},{"key":"2024111103201057000_12.1.94.22","doi-asserted-by":"publisher","DOI":"10.1227\/NEU.0000000000000102"},{"key":"2024111103201057000_12.1.94.23","doi-asserted-by":"crossref","first-page":"963","DOI":"10.1007\/s10439-016-1757-5","article-title":"Soft 3D-printed phantom of the human kidney with collecting system","volume":"45","author":"Adams","year":"2017","journal-title":"Ann Biomed Eng"},{"key":"2024111103201057000_12.1.94.24","doi-asserted-by":"publisher","DOI":"10.1016\/S0303-8467(01)00154-8"},{"key":"2024111103201057000_12.1.94.25","doi-asserted-by":"publisher","DOI":"10.1016\/S0021-9290(00)00120-2"},{"key":"2024111103201057000_12.1.94.26","doi-asserted-by":"crossref","first-page":"668","DOI":"10.1016\/j.wneu.2016.02.081","article-title":"Using 3D printing to create personalized brain models for neurosurgical training and preoperative planning","volume":"90","author":"Ploch","year":"2016","journal-title":"World Neurosurg"},{"key":"2024111103201057000_12.1.94.27","doi-asserted-by":"publisher","DOI":"10.1097\/ACM.0b013e318217e119"},{"key":"2024111103201057000_12.1.94.28","doi-asserted-by":"publisher","DOI":"10.1007\/s00381-008-0589-5"}],"container-title":["Journal of NeuroInterventional Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/syndication.highwire.org\/content\/doi\/10.1136\/neurintsurg-2019-015008","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,11]],"date-time":"2024-11-11T11:21:33Z","timestamp":1731324093000},"score":1,"resource":{"primary":{"URL":"https:\/\/jnis.bmj.com\/lookup\/doi\/10.1136\/neurintsurg-2019-015008"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,18]]},"references-count":28,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2019,12,20]]},"published-print":{"date-parts":[[2020,1]]}},"alternative-id":["10.1136\/neurintsurg-2019-015008"],"URL":"https:\/\/doi.org\/10.1136\/neurintsurg-2019-015008","relation":{},"ISSN":["1759-8478","1759-8486"],"issn-type":[{"type":"print","value":"1759-8478"},{"type":"electronic","value":"1759-8486"}],"subject":[],"published":{"date-parts":[[2019,7,18]]}}}