دورية أكاديمية

That which is unseen: 3D printing for pediatric cerebrovascular education.

التفاصيل البيبلوغرافية
العنوان: That which is unseen: 3D printing for pediatric cerebrovascular education.
المؤلفون: Graffeo CS; Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.; Department of Neurologic Surgery, OU Health University of Oklahoma Medical Center, Oklahoma City, OK, USA., Bhandarkar AR; Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA., Carlstrom LP; Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA., Perry A; Department of Neurosurgery, Sheba Hospital, Tel Aviv, Israel., Nguyen B; Department of Radiology, Mayo Clinic, Rochester, MN, USA., Daniels DJ; Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA., Link MJ; Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.; Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Rochester, MN, USA., Morris JM; Department of Radiology, Mayo Clinic, Rochester, MN, USA. Morris.Jonathan@mayo.edu.; Department of Neurosurgery, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA. Morris.Jonathan@mayo.edu.
المصدر: Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery [Childs Nerv Syst] 2023 Sep; Vol. 39 (9), pp. 2449-2457. Date of Electronic Publication: 2023 Jun 05.
نوع المنشور: Case Reports; Journal Article
اللغة: English
بيانات الدورية: Publisher: Springer International Country of Publication: Germany NLM ID: 8503227 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1433-0350 (Electronic) Linking ISSN: 02567040 NLM ISO Abbreviation: Childs Nerv Syst Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Berlin : Springer International, c1985-
مواضيع طبية MeSH: Vein of Galen Malformations*/surgery , Arteriovenous Malformations* , Intracranial Aneurysm*/diagnostic imaging , Intracranial Aneurysm*/surgery , Intracranial Arteriovenous Malformations*/diagnostic imaging , Intracranial Arteriovenous Malformations*/surgery, Humans ; Child ; Male ; Female ; Infant ; Anterior Cerebral Artery ; Printing, Three-Dimensional
مستخلص: Introduction: Pediatric cerebrovascular lesions are very rare and include aneurysms, arteriovenous malformations (AVM), and vein of Galen malformations (VOGM).
Objective: To describe and disseminate a validated, reproducible set of 3D models for optimization of neurosurgical training with respect to pediatric cerebrovascular diseases METHODS: All pediatric cerebrovascular lesions treated at our institution with adequate imaging studies during the study period 2015-2020 were reviewed by the study team. Three major diagnostic groups were identified: aneurysm, AVM, and VOGM. For each group, a case deemed highly illustrative of the core diagnostic and therapeutic principles was selected by the lead and senior investigators for printing (CSG/JM). Files for model reproduction and free distribution were prepared for inclusion as Supplemental Materials.
Results: Representative cases included a 7-month-old female with a giant left MCA aneurysm; a 3-day-old male with a large, complex, high-flow, choroidal-type VOGM, supplied from bilateral thalamic, choroidal, and pericallosal perforators, with drainage into a large prosencephalic vein; and a 7-year-old male with a left frontal AVM with one feeding arterial vessel from the anterior cerebral artery and one single draining vein into the superior sagittal sinus CONCLUSION: Pediatric cerebrovascular lesions are representative of rare but important neurosurgical diseases that require creative approaches for training optimization. As these lesions are quite rare, 3D-printed models and open source educational materials may provide a meaningful avenue for impactful clinical teaching with respect to a wide swath of uncommon or unusual neurosurgical diseases.
(© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
References: Bhattacharya JJ, Thammaroj J (2003) Vein of galen malformations. J Neurol Neurosurg Psychiatry 74(Suppl 1):i42–i44.
Toulgoat F, Lasjaunias P (2013) Vascular malformations of the brain. Handb Clin Neurol 112:1043–1051. (PMID: 10.1016/B978-0-444-52910-7.00022-223622310)
Fulkerson DH, Voorhies JM, Payner TD et al (2011) Middle cerebral artery aneurysms in children: case series and review. J Neurosurg Pediatr 8(1):79–89. (PMID: 10.3171/2011.4.PEDS1058321721893)
Ghali MGZ, Srinivasan VM, Cherian J et al (2018) Multimodal treatment of intracranial aneurysms in children: clinical case series and review of the literature. World Neurosurg 111:e294–e307. (PMID: 10.1016/j.wneu.2017.12.05729269068)
Huang J, McGirt MJ, Gailloud P, Tamargo RJ (2005) Intracranial aneurysms in the pediatric population: case series and literature review. Surg Neurol 63(5):424-432; discussion 432-433.
Abla AA, Lawton MT (2015) Three-dimensional hollow intracranial aneurysm models and their potential role for teaching, simulation, and training. World Neurosurg 83(1):35–36. (PMID: 10.1016/j.wneu.2014.01.01524486860)
Randazzo M, Pisapia JM, Singh N, Thawani JP (2016) 3D printing in neurosurgery: a systematic review. Surg Neurol Int 7(Suppl 33):S801–S809. (PMID: 279209405122816)
Benet A, Plata-Bello J, Abla AA, Acevedo-Bolton G, Saloner D, Lawton MT (2015) Implantation of 3D-printed patient-specific aneurysm models into cadaveric specimens: a new training paradigm to allow for improvements in cerebrovascular surgery and research. Biomed Res Int 2015. https://www.hindawi.com/journals/bmri/2015/939387/abs/.
Kimura T, Morita A, Nishimura K et al (2009) Simulation of and training for cerebral aneurysm clipping with 3-dimensional models. Neurosurg 65(4):719-725; discussion 725-726.
Wurm G, Lehner M, Tomancok B, Kleiser R, Nussbaumer K (2011) Cerebrovascular biomodeling for aneurysm surgery: simulation-based training by means of rapid prototyping technologies. Surg Innov 18(3):294–306. (PMID: 10.1177/155335061039503121307017)
Waran V, Narayanan V, Karuppiah R, Owen SLF, Aziz T (2014) Utility of multimaterial 3D printers in creating models with pathological entities to enhance the training experience of neurosurgeons. J Neurosurg 120(2):489–492. (PMID: 10.3171/2013.11.JNS13106624321044)
Low CM, Morris JM, Matsumoto JS, Stokken JK, O’Brien EK, Choby G (2019) Use of 3D-printed and 2D-illustrated international frontal sinus anatomy classification anatomic models for resident education. Otolaryngol Head Neck Surg 161(4):705–713. (PMID: 10.1177/019459981986083231284833)
Ryan JR, Almefty KK, Nakaji P, Frakes DH (2016) Cerebral aneurysm clipping surgery simulation using patient-specific 3D printing and silicone casting. World Neurosurg 88:175–181. https://doi.org/10.1016/j.wneu.2015.12.102. (PMID: 10.1016/j.wneu.2015.12.10226805698)
Dong M, Chen G, Li J et al (2018) Three-dimensional brain arteriovenous malformation models for clinical use and resident training. Medicine 97(3):e9516. (PMID: 10.1097/MD.0000000000009516295049745779743)
Ye X, Wang L, Li K et al (2020) A three-dimensional color-printed system allowing complete modeling of arteriovenous malformations for surgical simulations. J Clin Neurosci 77:134–141. https://doi.org/10.1016/j.jocn.2020.04.123. (PMID: 10.1016/j.jocn.2020.04.12332418811)
Weinstock P, Prabhu SP, Flynn K, Orbach DB, Smith E (2015) Optimizing cerebrovascular surgical and endovascular procedures in children via personalized 3D printing. J Neurosurg Pediatr 16(5):584–589. (PMID: 10.3171/2015.3.PEDS1467726230460)
Sullivan S, Aguilar-Salinas P, Santos R, Beier AD, Hanel RA (2018) Three-dimensional printing and neuroendovascular simulation for the treatment of a pediatric intracranial aneurysm: case report. J Neurosurg Pediatr 22(6):672–677. (PMID: 10.3171/2018.6.PEDS1769630215588)
Matsumoto JS, Morris JM, Foley TA et al (2015) Three-dimensional physical modeling: applications and experience at Mayo Clinic. Radiographics 35(7):1989–2006. (PMID: 10.1148/rg.201514026026562234)
Mitsouras D, Liacouras P, Imanzadeh A et al (2015) Medical 3D printing for the radiologist. Radiographics 35(7):1965–1988. (PMID: 10.1148/rg.201514032026562233)
Bois MC, Morris JM, Boland JM et al (2021) Three-dimensional surface imaging and printing in anatomic pathology. J Pathol Inform 12:22. (PMID: 10.4103/jpi.jpi_8_21342679878274305)
Lu VM, Kaszuba MC, Murphy ME, Lanzino G, Daniels DJ (2019) Near-fatal acute giant intracranial aneurysm rerupture in 7-month-old infant. World Neurosurg 128:191–195. (PMID: 10.1016/j.wneu.2019.05.04131096028)
Bhatia K, Mendes Pereira V, Krings T et al (2020) Factors contributing to major neurological complications from vein of Galen malformation embolization. JAMA Neurol 77(8):992–999. (PMID: 10.1001/jamaneurol.2020.082532338714)
Meola A, Cutolo F, Carbone M, Cagnazzo F, Ferrari M, Ferrari V (2017) Augmented reality in neurosurgery: a systematic review. Neurosurg Rev 40(4):537–548. (PMID: 10.1007/s10143-016-0732-927154018)
Klatzky RL, Lederman SJ (2011) Haptic object perception: spatial dimensionality and relation to vision. Philos Trans R Soc Lond B Biol Sci 366(1581):3097–3105. (PMID: 10.1098/rstb.2011.0153219696913172596)
Reed CL (1987) There’s more to touch than meets the eye: the salience of object attributes for haptics with and without vision. University of California, Santa Barbara.
Panesar SS, Magnetta M, Mukherjee D et al (2019) Patient-specific 3-dimensionally printed models for neurosurgical planning and education. Neurosurg Focus 47(6):E12. (PMID: 10.3171/2019.9.FOCUS1951131786547)
Mashiko T, Otani K, Kawano R et al (2015) Development of three-dimensional hollow elastic model for cerebral aneurysm clipping simulation enabling rapid and low cost prototyping. World Neurosurg 83(3):351–361. (PMID: 10.1016/j.wneu.2013.10.03224141000)
Pacca P, Jhawar SS, Seclen DV et al (2017) “Live cadaver” model for internal carotid artery injury simulation in endoscopic endonasal skull base surgery. Operative Neurosurg 13(6):732–738. https://doi.org/10.1093/ons/opx035. (PMID: 10.1093/ons/opx035)
Duckworth EAM, Nickele C, Hoit D, Belayev A, Moran CJ, Arthur AS (2016) The first North American use of the Pipeline Flex flow diverter. J Neurointerv Surg 8(2):e8. (PMID: 10.1136/neurintsurg-2014-011548.rep25653230)
Wang JL, Yuan ZG, Qian GL, Bao WQ, Jin GL (2018) 3D printing of intracranial aneurysm based on intracranial digital subtraction angiography and its clinical application. Medicine 97(24):e11103. (PMID: 10.1097/MD.0000000000011103299016286023659)
Mashiko T, Kaneko N, Konno T, Otani K, Nagayama R, Watanabe E (2017) Training in cerebral aneurysm clipping using self-made 3-dimensional models. J Surg Educ 74(4):681–689. (PMID: 10.1016/j.jsurg.2016.12.01028110854)
Graffeo CS, Perry A, Carlstrom LP et al (2022) 3D printing for complex cranial surgery education: technical overview and preliminary validation study. J Neurol Surg B Skull Base 83(Suppl 2):e105–e112. (PMID: 35832942)
Chen JV, Dang ABC, Dang A (2021) Comparing cost and print time estimates for six commercially-available 3D printers obtained through slicing software for clinically relevant anatomical models. 3D Print Med 7(1):1.
فهرسة مساهمة: Keywords: 3D modeling; 3D printing; Arteriovenous malformation; Cerebrovascular neurosurgery; Intracranial aneurysm; Pedagogy; Pediatric neurosurgery; Vein of Galen malformation
تواريخ الأحداث: Date Created: 20230605 Date Completed: 20230817 Latest Revision: 20230817
رمز التحديث: 20240628
DOI: 10.1007/s00381-023-05987-0
PMID: 37272936
قاعدة البيانات: MEDLINE
الوصف
تدمد:1433-0350
DOI:10.1007/s00381-023-05987-0