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01.12.2024 | Review

Neurosurgical simulation models developed in Latin America and the Caribbean: a scoping review

verfasst von: Javier Francisco Cuello, Ariel Bardach, Guido Gromadzyn, Agustín Ruiz Johnson, Daniel Comandé, Emilio Aguirre, Silvina Ruvinsky

Erschienen in: Neurosurgical Review | Ausgabe 1/2024

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Abstract

Simulation training is an educational tool that provides technical and cognitive proficiency in a risk-free environment. Several models have recently been presented in Latin America and the Caribbean (LAC). However, many of them were presented in non-indexed literature and not included in international reviews. This scoping review aims to describe the simulation models developed in LAC for neurosurgery training. Specifically, it focuses on assessing the models developed in LAC, the simulated neurosurgical procedures, the model’s manufacturing costs, and the translational outcomes. Simulation models developed in LAC were considered, with no language or time restriction. Cadaveric, ex vivo, animal, synthetic, and virtual/augmented reality models were included for cranial and spinal procedures. We conducted a review according to the PRISMA-ScR, including international and regional reports from indexed and non-indexed literature. Two independent reviewers screened articles. Conflicts were resolved by a third reviewer using Covidence software. We collected data regarding the country of origin, recreated procedure, type of model, model validity, and manufacturing costs. Upon screening 917 studies, 69 models were developed in LAC. Most of them were developed in Brazil (49.28%). The most common procedures were related to general neurosurgery (20.29%), spine (17.39%), and ventricular neuroendoscopy and cerebrovascular (15.94% both). Synthetic models were the most frequent ones (38.98%). The manufacturing cost ranged from 4.00 to 2005.00 US Dollars. To our knowledge, this is the first scoping review about simulation models in LAC, setting the basis for future research studies. It depicts an increasing number of simulation models in the region, allowing a wide range of neurosurgical training in a resource-limited setting.

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Cobb MI, Taekman JM, Zomorodi AR, Gonzalez LF, Turner DA (2016) Simulation in neurosurgery-a brief review and commentary. World Neurosurg 89:583–6. https://doi.org/10.1016/j.wneu.2015.11.068CrossRefPubMed

Toma AK, Camp S, Watkins LD, Grieve J, Kitchen ND (2009) External ventricular drain insertion accuracy. Neurosurgery 65(6):1197–1201. https://doi.org/10.1227/01.neu.0000356973.39913.0bCrossRefPubMed

Rolston JD, Bernstein M (2015) Neurosurgery clinics of North America. Errors Neurosurg 26(2):149–55. https://doi.org/10.1016/j.nec.2014.11.011CrossRef

Meyer HS, Wagner A, Obermueller T et al (2022) Assessment of the incidence and nature of adverse events and their association with human error in neurosurgery. A prospective observation. Brain Spine 2(100853). https://doi.org/10.1016/j.bas.2021.100853

Nowitzke AM (2005) Assessment of the learning curve for lumbar microendoscopic discectomy. Neurosurgery 56(4):755–762. https://doi.org/10.1227/01.neu.0000156470.790CrossRefPubMed

Ryang Y-M, Villard J, Obermüller T et al (2015) Learning curve of 3D fluoroscopy image–guided pedicle screw placement in the thoracolumbar spine. Spine J 15(3):467–476. https://doi.org/10.1016/j.spinee.2014.10.003CrossRefPubMed

Whang EE, Mello MM, Ashley SW et al (2003) Implementing resident work hour limitations: lessons from the New York State experience. Ann Surg 237:449–455. https://doi.org/10.1097/01.SLA.0000059966.07463.19CrossRefPubMedPubMedCentral

Whang EE, Perez A, Ito H, Mello MM, Ashley SW, Zinner MJ (2003) Work hours reform: perceptions and desires of contemporary surgical residents. J Am Coll Surg 197(4):624–630. https://doi.org/10.1016/S1072-7515(03)00602-1CrossRefPubMed

Kurup V, Matei V, Ray J (2017) Role of in-situ simulation for training in healthcare: opportunities and challenges. Curr Opin Anaesthesiol 30(6):755–760. https://doi.org/10.1097/ACO.0000000000000514CrossRefPubMed

10.

Delisle M, Ward MAR, Pradarelli JC, Panda N, Howard JD, Hannenberg AA (2019) Comparing the learning effectiveness of healthcare simulation in the observer versus active role: systematic review and meta-analysis. Simul Healthc 14(5):318–32. https://doi.org/10.1097/SIH.0000000000000377

11.

Rosen MA, Hunt EA, Pronovost PJ, Federowicz MA, Weaver SJ (2012) In situ simulation in continuing education for the health care professions: a systematic review. J Contin Educ Health Prof Fall 32(4):243–254. https://doi.org/10.1002/chp.21152CrossRef

12.

Rehder R, Abd-El-Barr M, Hooten K, Weinstock P, Madsen JR, Cohen AR (2016) The rol of simulation in neurosurgery. Childs Nerv Syst 32:43–54. https://doi.org/10.1007/s00381-015-2923-zCrossRefPubMed

13.

Bradley P (2006) The history of simulation in medical education and possible future directions. Med Educ 40:245–262. https://doi.org/10.1111/j.1365-2929.2006.02394.xCrossRef

14.

Singh H, Kalami M, Acosta-Torres S, El Ahmadieh TY, Loya J, Ganju A (2013) History of simulation in medicine: from Resusci Annie to the Ann Myers Medical Center. Neurosurgery 73(1):9–14. https://doi.org/10.1227/NEU.0000000000000093CrossRefPubMed

15.

Coelho G, Zanon N, Warf B (2014) The role of simulation in neurosurgery. Child Nerv Syst 30:1997–2000. https://doi.org/10.1007/s00381-014-2548-7CrossRef

16.

Patel EA, Aydin A, Cearns M, Dasgupta P, Ahmed K (2020) A systematic review of simulation-based training in neurosurgery, Part 1: Cranial Neurosurgery. World Neurosurg 133:e850–e873. https://doi.org/10.1016/j.wneu.2019.08.262CrossRefPubMed

17.

Patel EA, Aydin A, Cearns M, Dasgupta P, Ahmed K (2020) A systematic review of simulation-based training in neurosurgery, Part 2: spinal and pediatric surgery, neurointerventional radiology, and nontechnical skills. World Neurosurg 133:e874–e892. https://doi.org/10.1016/j.wneu.2019.08.263CrossRefPubMed

18.

Kirkman MA, Ahmed M, Albert AF, Wilson MH, Nandi D, Sevdalis N (2014) The use of simulation in neurosurgical education and training. A systematic review. J Neurosurg 121(2):228–246. https://doi.org/10.3171/2014.5.JNS131766CrossRefPubMed

19.

Peters MDJ, Marnie C, Tricco AC et al. (2020) Updated methodological guidance for the conduct of scoping reviews. JBI Evid Synth 18(10):2119–26. https://doi.org/10.11124/jbies-20-00167

20.

Tricco AC, Lillie E, Zarin W et al (2016) A scoping review on the conduct and reporting of scoping reviews. BMC Med Res Methodol 16:15. https://doi.org/10.1186/s12874-016-0116-4CrossRefPubMedPubMedCentral

21.

Munn Z, Peters MDJ, Stern C, Tufanaru C, McArthur A, Aromataris E (2018) Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC Med Res Methodol 18(1):143. https://doi.org/10.1186/s12874-018-0611-xCrossRefPubMedPubMedCentral

22.

Arksey H, O’Malley L (2005) Scoping studies: towards a methodological framework. Int J Soc Res Methodol 8(1):19–32. https://doi.org/10.1080/1364557032000119616CrossRef

23.

Levac D, Colquhoun H, O’Brien KK (2010) Scoping studies: advancing the methodology. Implement Sci 5(1):69. https://doi.org/10.1186/1748-5908-5-69CrossRefPubMedPubMedCentral

24.

McGaghie WC, Issenberg SB, Barsuk JH, Wayne DB (2014) A critical review of simulation-based mastery learning with translational outcomes. Med Educ 48(4):375–385. https://doi.org/10.1111/medu.12391CrossRefPubMed

25.

Agha RA, Fowler AJ (2015) The role and validity of surgical simulation. Int Surg 100(2):350–357. https://doi.org/10.9738/INTSURG-D-14-00004.1CrossRefPubMedPubMedCentral

26.

Milburn JA, Khera G, Hornby ST, Malone PS, Fitzgerald JE (2012) Introduction, availability and role of simulation in surgical education and training: review of current evidence and recommendations from the Association of Surgeons in Training. Int J Surg 10(8):393–398. https://doi.org/10.1016/j.ijsu.2012.05.005CrossRefPubMed

27.

Hasan O, Ayaz A, Jessar M, Docherty C, Hashmi P (2019) The need for simulation in surgical education in developing countries. The wind of change. Review article. J Pak Med Assoc 69(1):S62–S68

28.

Alvarez-Peña C, Rocca Fernández U, Rosell P, Ramos A (2000) Neuroendoscopía cerebral: experiencia previa en modelos experimentales y aplicación clínica. An Fac Med (Perú) 61(2):89–98CrossRef

29.

Coelho G, Chaves TMF, Goes AF, Del Massa EC, Moraes O, Yoshida M (2018) Multimaterial 3D printing preoperative planning for frontoethmoidal meningoencephalocele surgery. Childs Nerv Syst 34(4):749–756. https://doi.org/10.1007/s00381-017-3616-6CrossRefPubMed

30.

Coelho G, Kondageski C, Vaz-Guimarães Filho F et al (2011) Frameless image-guided neuroendoscopy training in real simulators. Minim Invasive Neurosurg 54(3):115–118. https://doi.org/10.1055/s-0031-1283170

31.

Coelho G, Rabelo NN, Adani LB et al (2020) The craniosynostosis puzzle: new simulation model for neurosurgical training. World Neurosurg 138:e299–e304. https://doi.org/10.1016/j.wneu.2020.02.098CrossRefPubMed

32.

Coelho G, Zymberg S, Lyra M, Zanon N, Warf B (2015) New anatomical simulator for pediatric neuroendoscopic practice. Childs Nerv Syst 31(2):213–219. https://doi.org/10.1007/s00381-014-2538-9CrossRefPubMed

33.

Coelho G, Figueiredo EG, Rabelo NN, Teixeira MJ, Zanon N (2019) Development and evaluation of a new pediatric mixed-reality model for neurosurgical training. J Neurosurg Pediatr 2:1–10. https://doi.org/10.3171/2019.2.PEDS18597CrossRef

34.

Coelho G, Rabelo NN, Varjão E et al (2021) A hybrid simulation model for pre-operative planning of transsphenoidal encephalocele. Neurosurg Rev 44(3):1767–1774. https://doi.org/10.1007/s10143-020-01361-9CrossRefPubMed

35.

Coelho G, Rabelo NN, Vieira E et al (2020) Augmented reality and physical hybrid model simulation for preoperative planning of metopic craniosynostosis surgery. Neurosurg Focus 48(3):E19. https://doi.org/10.3171/2019.12.FOCUS19854

36.

Coelho G, Vieira EV, Rabelo NN et al (2021) Preoperative planning modalities for meningoencephalocele: new proof of concept. World Neurosurg 151:124–131. https://doi.org/10.1016/j.wneu.2021.04.132CrossRefPubMed

37.

Coelho G, Defino HLA (2018) The role of mixed reality simulation for surgical training in spine: phase 1 validation. Spine (Phila Pa 1976). 43(22):1609–1616. https://doi.org/10.1097/BRS.0000000000002856

38.

Villegas R, Jara I, Montilla G, Villegas H (2006) Software para planificación de neurocirugías y su aplicación en una cirugía estereotáxica de aracnoidocele. Acta cient venez 57(3):107–115

39.

Abdala N, Oliveira R, Alves Junior J, Spinola T (2007) Modelo simulador para treinamento de punção transpedicular em vertebroplastia percutânea. Radiol bras 40(4):231–234. https://doi.org/10.1590/S0100-39842007000400005CrossRef

40.

Paiva WS, Amorim R, Bezerra DA, Masini M (2007) Aplication of the stereolithography technique in complex spine surgery. Arq Neuropsiquiatr 65(2B):443–445. https://doi.org/10.1590/s0004-282x2007000300015CrossRefPubMed

41.

Filho FV, Coelho G, Cavalheiro S, Lyra M, Zymberg ST (2011) Quality assessment of a new surgical simulator for neuroendoscopic training. Neurosurg Focus 30(4):E17. https://doi.org/10.3171/2011.2.FOCUS10321CrossRefPubMed

42.

Leal AG, Pagnan LB, Kondo RT, Foggiatto JA, Agnoletto GJ, Ramina R (2016) Elastomers three-dimensional biomodels proven to be a trustworthy representation of the angiotomographic images. Arq europsiquiatr 74(9):713–717. https://doi.org/10.1590/0004-282X20160113CrossRef

43.

Ghizoni E, de Souza JP, Raposo-Amaral CE (2018) 3D-printed craniosynostosis model: new simulation surgical tool. World Neurosurg 109:356–361. https://doi.org/10.1016/j.wneu.2017.10.025CrossRefPubMed

44.

Kulcheski ÁL, Stieven-Filho E, Nunes CP, Milcent PAA, Dau L, I-Graells XS (2015) Validation of an endoscopic flavectomy training model. Rev Col Bras Cir. 48:e202027910. https://doi.org/10.1590/0100-6991e-20202901

45.

Espinoza DL, González Carranza V, Chico-Ponce de León F, Martinez AM (2015) PsT1: a low-cost optical simulator for psychomotor skills training in neuroendoscopy. World Neurosurg 83(6):1074–1079. https://doi.org/10.1016/j.wneu.2014.12.022CrossRefPubMed

46.

Yasuda E, Minghinelli F, Renedo D, Devoto P, Pina L, Lovaglio A (2019) ¿Cómo entrenar para el uso del exoscopio? Utilización de un novedoso simulador de exoscopía de bajo costo por residentes de neurocirugía. Rev Argent Neurocir 33(4):261–265. https://doi.org/10.59156/revista.v33i4.15

47.

Liñares JM, Argañaraz R, Sáenz A, Martinez P, Bailez M, Mantese B (2019) Modelo de neuroendoscopia ventricular “INARUS.” Rev Argent Neurocir 33(3):166–171

48.

Cuello JF, Gromadzyn G, Martinez P, Mantese B (2022) A low-cost simulation model for endoscopic-assisted sagittal craniosynostosis repair. World Neurosurg Aug 164:381–387. https://doi.org/10.1016/j.wneu.2022.06.025CrossRef

49.

Cuello JF, Saenz A, Liñares JM et al (2020) Low-cost stereotactic brain biopsy simulation model. World Neurosurg 138:285–290. https://doi.org/10.1016/j.wneu.2020.03.062CrossRefPubMed

50.

Figueiredo Souza JR, Barros Filho EM, JucÁ CEB, Rolim JPML (2020) Endovascular technique simulator for neuroradiology learning. Arq Neuropsiquiatr 78(9):535–540. https://doi.org/10.1590/0004-282X20200028CrossRef

51.

Grillo FW, Souza VH, Matsuda RH et al (2018) Patient-specific neurosurgical phantom: assessment of visual quality, accuracy, and scaling effects. 3D Print Med. 4(1):3. https://doi.org/10.1186/s41205-018-0025-8

52.

Mery F, Méndez-Orellana C, Torres J et al (2021) 3D simulation of aneurysm clipping: data analysis. Data Brief 3(37):107258. https://doi.org/10.1016/j.dib.2021.107258CrossRef

53.

Lombardo E, Velez M, Verger S (2022) Resección de osteoma osteoide vertebral asistida por planificación 3D. Presentación de un caso. Rev Asoc Argent Ortop Traumatol 87(3):378–386. https://doi.org/10.15417/issn.1852-7434.2022.87.3.1206

54.

Nanni F, Vialle E, Foggiattob JA, Silva KW, Mello Neto H (2019) Development of a patient-specific guide for high cervical spine fixation. Rev bras ortop 54(1):20–25. https://doi.org/10.1016/j.rbo.2017.09.011CrossRef

55.

Santorcuato F (2008) Simulador humano-artificial para entrenamiento y estudio de técnicas neuroendoscópicas intraventriculares. Rev Chil Neurocir 30:32–35

56.

Di Pietrantonio A, Pipolo D, Nicolau S et al (2019) Fresado de hueso temporal: modelo de bajo costo y aplicación sencilla. Rev Argent Neurocir 33(2):82–90

57.

Nicolato AA (2020) Modelo híbrido utilizando placentas humanas para treinamento de Embolectomia Arterial Cerebral [PhD thesis] Universidade Federal de Minas Gerais. https://repositorio.ufmg.br/handle/1843/38136

58.

Almeida DB, Hunhevicz S, Bordignon K et al (2006) A model for foramen ovale puncture training: technical note. Acta Neurochir (Wien) 148(8):881–883. https://doi.org/10.1007/s00701-006-0817-2CrossRefPubMed

59.

Baranauskas MB, Margarido CB, Panossian C, Silva ED, Campanella MA, Kimachi PP (2008) Simulation of ultrasound-guided peripheral nerve block: learning curve of CET-SMA/HSL Anesthesiology residents. Rev Bras Anestesiol 58(2):106–11. https://doi.org/10.1590/s0034-70942008000200003

60.

Lorias-Espinoza D, Carranza VG, de León FC, Escamirosa FP, Martinez AM (2016) A low-cost, passive navigation training system for image-guided spinal intervention. World Neurosurg 95:322–328. https://doi.org/10.1016/j.wneu.2016.08.006CrossRefPubMed

61.

Teodoro-Vite S, Pérez-Lomelí JS, Domínguez-Velasco CF, Hernández-Valencia AF, Capurso-García MA, Padilla-Castañeda MA (2021) A high-fidelity hybrid virtual reality simulator of aneurysm clipping repair with brain Sylvian fissure exploration for vascular neurosurgery training. Simul Healthc 16(4):285–294. https://doi.org/10.1097/SIH.0000000000000489CrossRefPubMed

62.

Ferrarez CE, Bertani R, Leite Batista DM et al (2020) Superficial temporal artery-middle cerebral artery bypass ex vivo hybrid simulator: face, content, construct, and concurrent validity. World Neurosurg 142:e378–e384. https://doi.org/10.1016/j.wneu.2020.07.027CrossRefPubMed

63.

Gallardo FC, Martin C, Targa Garcia AA, Bustamante JL, Nuñez M, Feldman SE (2020) Home program for acquisition and maintenance of microsurgical skills during the coronavirus disease 2019 outbreak. World Neurosurg 143:557-563.e1. https://doi.org/10.1016/j.wneu.2020.07.114CrossRefPubMedPubMedCentral

64.

Petrone S, Cofano F, Nicolosi F et al (2022) Virtual-augmented reality and life-like neurosurgical simulator for training: first evaluation of a hands-on experience for residents. Front Surg 19(9):862948. https://doi.org/10.3389/fsurg.2022.862948CrossRef

65.

Davids J, Manivannan S, Darzi A, Giannarou S, Ashrafian H, Marcus HJ (2021) Simulation for skills training in neurosurgery: a systematic review, meta-analysis, and analysis of progressive scholarly acceptance. Neurosurg Rev 44(4):1853–1867. https://doi.org/10.1007/s10143-020-01378-0CrossRefPubMed

66.

Oliveira LM, Figueiredo EG (2019) Simulation training methods in neurological surgery. Asian J Neurosurg 14(2):364–370. https://doi.org/10.4103/ajns.AJNS_269_18CrossRefPubMedPubMedCentral

67.

Pedreira DAL, Oliveira R, Valente PR, Abou-Jamra RC, Araújo A, Saldiva PH (2007) Validation of the ovine fetus as an experimental model for the human myelomeningocele defect. Acta Cir Bras 22(3):168–173. https://doi.org/10.1590/s0102-86502007000300003CrossRefPubMed

68.

Gonzalez F, Pintos A, Vargas L, Torres R (2002) Cirugia toracoscopica de la columna dorsal: experiencia en animales. Rev Asoc Argent Ortop Traumatol 67(3):195–198

69.

Gotfryd AO, Paula FC, Sauma ML et al (2022) Minimally invasive swine spine surgery training: technical aspects, benefits, and anatomical limitations. Einstein (Sao Paulo). 16;20:eAO6318. https://doi.org/10.31744/einstein_journal/2022AO6318

70.

Jaimovich SG, Bailez M, Asprea M, Jaimovich R (2016) Neurosurgical training with simulators: a novel neuroendoscopy model. Childs Nerv Syst 32(2):345–349. https://doi.org/10.1007/s00381-015-2936-7CrossRefPubMed

71.

Simkin DJ, Greene JA, Jung J, Sacks BC, Fessler HE (2017) The death of animals in medical school. N Engl J Med 376(8):713–715. https://doi.org/10.1056/NEJMp1612992

72.

González Romo N, Zunino FR (2021) Minimally invasive mini-orbitozygomatic approach for clipping an anterior communicating artery aneurysm: virtual reality surgical planning. Arq Bras Neurocir 40(3):288–293. https://doi.org/10.1055/s-0040-1719004CrossRef

73.

Heredia-Pérez SA, Harada K, Padilla-Castañeda MA, Marques-Marinho M, Márquez-Flores JA, Mitsuishi M (2019) Virtual reality simulation of robotic transsphenoidal brain tumor resection: Evaluating dynamic motion scaling in a master-slave system. Int J Med Robot 15(1):e1953. https://doi.org/10.1002/rcs.1953CrossRefPubMed

74.

Chawla S, Devi S, Calvachi P, Gormley WB, Rueda-Esteban R (2022) Evaluation of simulation models in neurosurgical training according to face, content, and construct validity: a systematic review. Acta Neurochir (Wien) 164(4):947–966. https://doi.org/10.1007/s00701-021-05003-xCrossRefPubMed

75.

Oliveira MM, Araujo AB, Nicolato A et al (2016) Face, content, and construct validity of brain tumor microsurgery simulation using a human placenta model. Oper Neurosurg (Hagerstown) 12(1):61–67. https://doi.org/10.1227/NEU.0000000000001030CrossRefPubMed

76.

Ribeiro de Oliveira MM, Nicolato A, Santos M et al (2016) Face, content, and construct validity of human placenta as a haptic training tool in neurointerventional surgery. J Neurosurg 124(5):1238–1244. https://doi.org/10.3171/2015.1.JNS141583CrossRefPubMed

77.

Oliveira MM, Wendling L, Malheiros JA et al (2018) Human placenta simulator for intracranial-intracranial bypass: vascular anatomy and 5 bypass techniques. World Neurosurg 119:e694–e702. https://doi.org/10.1016/j.wneu.2018.07.246CrossRefPubMed

78.

de Oliveira MMR, Nicolato A, Malheiros JA et al (2021) Stroke microsurgical thrombectomy human placenta simulator. World Neurosurg 148:e115–e120. https://doi.org/10.1016/j.wneu.2018.07.246CrossRefPubMed

79.

Argañaraz R, Sáenz A, Liñares JM, Martinez P, Bailez M, Mantese B (2020) New simulator for neuroendoscopy: a realistic and attainable model. World Neurosurg 134:33–38. https://doi.org/10.1016/j.wneu.2019.10.092CrossRefPubMed

80.

Cobo EJ, Pereira Borge FR, Pereira Riverón R (2005) Modelo simulador para entrenamiento en neuroendoscopia y neuroanatomía. Rev Cuba Cir 44(1). chrome-extension:https://www.redalyc.org/pdf/2812/281222989009.pdf

81.

Romero AD, Zicarelli CA, Pinto FC, Pasqualucci CA, Aguiar PH (2009) Simulation of endoscopic third ventriculostomy in fresh cadaveric specimens. Minim Invasive Neurosurg Jun 52(3):103–106. https://doi.org/10.1055/s-0029-1231080

82.

Mattei TA, Meneses MS, Milano JB, Ramina R, Borges CR (2010) Implementando o treinamento da técnica “free-hand” para instrumentação com parafusos pediculares na residência de neurocirurgia. J Bras Neurocir 21(2):80–87

83.

Ferreira CD, Matushita H, Silva BR et al (2014) Proposal of a new method to induce ventricular system dilation to simulate the features of hydrocephalus and provide an anatomical model for neuroendoscopy training. Childs Nerv Syst 30(7):1209–1215. https://doi.org/10.1007/s00381-013-2346-7CrossRefPubMed

84.

Alvarado MT, Peña G, Aristizabal G (2015) Modelo animal experimental para adiestramiento en realización anastomosis extra intraracraneales e intracraneales, con técnicas microquirúrgicas. Rev chil neurocir 41(1):76–82

85.

Massa D, Rasmussen J, Kornfeld S, Plou P, Padilla F, Villaescusa M (2020) Programa de Simulación Neuroquirúrgica. Rev Argent Neurocir 34(1):45–54. https://doi.org/10.59156/revista.v34i01.23

86.

Gallardo FC, Bustamante JL, Martin C (2020) Novel simulation model with pulsatile flow system for microvascular training, research, and improving patient surgical outcomes. World Neurosurg 143:11–16. https://doi.org/10.1016/j.wneu.2020.07.116CrossRefPubMed

87.

de Oliveira MMR, Ferrarez CE, Ramos TM et al (2018) Learning brain aneurysm microsurgical skills in a human placenta model: predictive validity. J Neurosurg 128(3):846–852. https://doi.org/10.3171/2016.10.JNS162083CrossRefPubMed

88.

McGuire LS, Fuentes A, Alaraj A (2021) Three-dimensional modeling in training, simulation, and surgical planning in open vascular and endovascular neurosurgery: a systematic review of the literature. World Neurosurg 154:53–63. https://doi.org/10.1016/j.wneu.2021.07.057CrossRefPubMed

89.

Carlos GF, Enrrique FS, Aylen Andrea TG et al (2022) Introducing a realistic, low-cost simulation model for clipping of brain aneurysms. World Neurosurg 158:305-311.e1. https://doi.org/10.1016/j.wneu.2021.11.012CrossRefPubMed

90.

Drummond-Braga B, Peleja SB, Macedo G et al (2016) Coconut model for learning first steps of craniotomy techniques and cerebrospinal fluid leak avoidance. World Neurosurg 96:191–194. https://doi.org/10.1016/j.wneu.2016.08.118

91.

Aurich LA, Silva Junior LF, Monteiro FM, Ottoni AN, Jung GS, Ramina R (2014) Microsurgical training model with nonliving swine head. Alternative for neurosurgical education. Acta Cir Bras 29(6):405–409. https://doi.org/10.1590/s0102-86502014000600010

Titel: Neurosurgical simulation models developed in Latin America and the Caribbean: a scoping review
verfasst von: Javier Francisco Cuello
Ariel Bardach
Guido Gromadzyn
Agustín Ruiz Johnson
Daniel Comandé
Emilio Aguirre
Silvina Ruvinsky
Publikationsdatum: 01.12.2024
Verlag: Springer Berlin Heidelberg
Erschienen in: Neurosurgical Review / Ausgabe 1/2024
Print ISSN: 0344-5607
Elektronische ISSN: 1437-2320
DOI: https://doi.org/10.1007/s10143-023-02263-2

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08.05.2024 Postoperative Wundinfektion Nachrichten

Der Einsatz von Wundprotektoren bei offenen Eingriffen am unteren Gastrointestinaltrakt schützt vor Infektionen im Op.-Gebiet – und dient darüber hinaus der besseren Sicht. Das bestätigt mit großer Robustheit eine randomisierte Studie im Fachblatt JAMA Surgery.

Chirurginnen und Chirurgen sind stark suizidgefährdet

07.05.2024 Suizid Nachrichten

Der belastende Arbeitsalltag wirkt sich negativ auf die psychische Gesundheit der Angehörigen ärztlicher Berufsgruppen aus. Chirurginnen und Chirurgen bilden da keine Ausnahme, im Gegenteil.

Update Chirurgie

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Aktuelle BDC Leitlinien-Webinare

S3-Leitlinie „Diagnostik und Therapie des Karpaltunnelsyndroms“

Karpaltunnelsyndrom BDC Leitlinien Webinare

CME: 2 Punkte

Das Karpaltunnelsyndrom ist die häufigste Kompressionsneuropathie peripherer Nerven. Obwohl die Anamnese mit dem nächtlichen Einschlafen der Hand (Brachialgia parästhetica nocturna) sehr typisch ist, ist eine klinisch-neurologische Untersuchung und Elektroneurografie in manchen Fällen auch eine Neurosonografie erforderlich. Im Anfangsstadium sind konservative Maßnahmen (Handgelenksschiene, Ergotherapie) empfehlenswert. Bei nicht Ansprechen der konservativen Therapie oder Auftreten von neurologischen Ausfällen ist eine Dekompression des N. medianus am Karpaltunnel indiziert.

Prof. Dr. med. Gregor Antoniadis

S2e-Leitlinie „Distale Radiusfraktur“

Radiusfraktur BDC Leitlinien Webinare

CME: 2 Punkte

Das Webinar beschäftigt sich mit Fragen und Antworten zu Diagnostik und Klassifikation sowie Möglichkeiten des Ausschlusses von Zusatzverletzungen. Die Referenten erläutern, welche Frakturen konservativ behandelt werden können und wie. Das Webinar beantwortet die Frage nach aktuellen operativen Therapiekonzepten: Welcher Zugang, welches Osteosynthesematerial? Auf was muss bei der Nachbehandlung der distalen Radiusfraktur geachtet werden?

PD Dr. med. Oliver Pieske

Dr. med. Benjamin Meyknecht

S1-Leitlinie „Empfehlungen zur Therapie der akuten Appendizitis bei Erwachsenen“

Appendizitis BDC Leitlinien Webinare

CME: 2 Punkte

Inhalte des Webinars zur S1-Leitlinie „Empfehlungen zur Therapie der akuten Appendizitis bei Erwachsenen“ sind die Darstellung des Projektes und des Erstellungswegs zur S1-Leitlinie, die Erläuterung der klinischen Relevanz der Klassifikation EAES 2015, die wissenschaftliche Begründung der wichtigsten Empfehlungen und die Darstellung stadiengerechter Therapieoptionen.

Dr. med. Mihailo Andric

Klimawandel und Gesundheit: Was Sie in der Hausarztpraxis wissen müssen und tun können

Springer Medizin

Neurosurgical simulation models developed in Latin America and the Caribbean: a scoping review

Abstract

Neu im Fachgebiet Chirurgie

Vorsicht, erhöhte Blutungsgefahr nach PCI!

Darf man die Behandlung eines Neonazis ablehnen?

Deutlich weniger Infektionen: Wundprotektoren schützen!

Chirurginnen und Chirurgen sind stark suizidgefährdet

Update Chirurgie

Aktuelle BDC Leitlinien-Webinare

S3-Leitlinie „Diagnostik und Therapie des Karpaltunnelsyndroms“

S2e-Leitlinie „Distale Radiusfraktur“

S1-Leitlinie „Empfehlungen zur Therapie der akuten Appendizitis bei Erwachsenen“

Klimawandel und Gesundheit: Was Sie in der Hausarztpraxis wissen müssen und tun können

Springer Medizin

Abstract

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Weitere Artikel der Ausgabe 1/2024

Exploring the differences in radiologic and clinical outcomes of transforaminal lumbar interbody fusion with single- and bi-planar expandable cages: a systematic review and meta-analysis

Impact of biologically effective dose on tremor decrease after stereotactic radiosurgical thalamotomy for essential tremor: a retrospective longitudinal analysis

Outcomes of 2-SSRS plus bevacizumab therapy strategy for brainstem metastases (BSM) over 2 cm3: a multi-center study

A proposed stratification system to address the heterogeneity of Subdural Hematoma Outcome reporting in the literature

Everything old is new again. revisiting hypophysectomy for the treatment of refractory cancer-related pain: a systematic review

Preoperative MRI diagnosis of papillary craniopharyngiomas: the revealing clues

Update Chirurgie