Simulation to become a better neurosurgeon. An international prospective controlled trial: The Passion study

. 2024 ; 4 () : 102829. [epub] 20240511

Status PubMed-not-MEDLINE Jazyk angličtina Země Nizozemsko Médium electronic-ecollection

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid38812880
Odkazy

PubMed 38812880
PubMed Central PMC11134543
DOI 10.1016/j.bas.2024.102829
PII: S2772-5294(24)00085-7
Knihovny.cz E-zdroje

INTRODUCTION: Surgical training traditionally adheres to the apprenticeship paradigm, potentially exposing trainees to an increased risk of complications stemming from their limited experience. To mitigate this risk, augmented and virtual reality have been considered, though their effectiveness is difficult to assess. RESEARCH QUESTION: The PASSION study seeks to investigate the improvement of manual dexterity following intensive training with neurosurgical simulators and to discern how surgeons' psychometric characteristics may influence their learning process and surgical performance. MATERIAL AND METHODS: Seventy-two residents were randomized into the simulation group (SG) and control group (CG). The course spanned five days, commencing with assessment of technical skills in basic procedures within a wet-lab setting on day 1. Over the subsequent core days, the SG engaged in simulated procedures, while the CG carried out routine activities in an OR. On day 5, all residents' technical competencies were evaluated. Psychometric measures of all participants were subjected to analysis. RESULTS: The SG demonstrated superior performance (p < 0.0001) in the brain tumour removal compared to the CG. Positive learning curves were evident in the SG across the three days of simulator-based training for all tumour removal tasks (all p-values <0.05). No significant differences were noted in other tasks, and no meaningful correlations were observed between performance and any psychometric parameters. DISCUSSION AND CONCLUSION: A brief and intensive training regimen utilizing 3D virtual reality simulators enhances residents' microsurgical proficiency in brain tumour removal models. Simulators emerge as a viable tool to expedite the learning curve of in-training neurosurgeons.

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Aboud E., Al-Mefty O., Yaşargil M.G. New laboratory model for neurosurgical training that simulates live surgery. J. Neurosurg. 2002 doi: 10.3171/jns.2002.97.6.1367. PubMed DOI

Ahlberg G., Enochsson L., Gallagher A.G., et al. Proficiency-based virtual reality training significantly reduces the error rate for residents during their first 10 laparoscopic cholecystectomies. Am. J. Surg. 2007;193(6):797–804. doi: 10.1016/j.amjsurg.2006.06.050. PubMed DOI

Alaraj A., Charbel F.T., Birk D., et al. Role of cranial and spinal virtual and augmented reality simulation using immersive touch modules in neurosurgical training. Neurosurgery. 2013;72(Suppl. 1):115–123. doi: 10.1227/NEU.0b013e3182753093. 0 1. PubMed DOI PMC

Alotaibi F.E., AlZhrani G.A., Mullah M.A.S., et al. Assessing bimanual performance in brain tumor resection with NeuroTouch, a virtual reality simulator. Neurosurgery. 2015;11(Suppl. 2):89–98. doi: 10.1227/NEU.0000000000000631. ; discussion 98. PubMed DOI

Bajunaid K., Mullah M.A.S., Winkler-Schwartz A., et al. Impact of acute stress on psychomotor bimanual performance during a simulated tumor resection task. J. Neurosurg. 2017;126(1):71–80. doi: 10.3171/2015.5.JNS15558. PubMed DOI

Benet A., Rincon-Torroella J., Lawton M.T., González Sánchez J.J. Novel embalming solution for neurosurgical simulation in cadavers. J. Neurosurg. 2014;120(5):1229–1237. doi: 10.3171/2014.1.JNS131857. PubMed DOI

Błaszczyk M., Jabbar R., Szmyd B., Radek M. 3D Printing of Rapid, low-cost and patient-specific models of brain Vasculature for Use in preoperative planning in clipping of intracranial aneurysms. J. Clin. Med. 2021;10(6) doi: 10.3390/jcm10061201. PubMed DOI PMC

Chaer R.A., Derubertis B.G., Lin S.C., et al. Simulation improves resident performance in catheter-based intervention: results of a randomized, controlled study. Ann. Surg. 2006;244(3):343–352. doi: 10.1097/01.sla.0000234932.88487.75. PubMed DOI PMC

Choudhury N., Gélinas-Phaneuf N., Delorme S., Del Maestro R. Fundamentals of neurosurgery: virtual reality tasks for training and evaluation of technical skills. World Neurosurg. 2013;80(5):e9–e19. doi: 10.1016/j.wneu.2012.08.022. PubMed DOI

Coelho G., Zanon N., Warf B. The role of simulation in neurosurgery. Child’s Nerv. Syst. 2014;30(12):1997–2000. doi: 10.1007/s00381-014-2548-7. PubMed DOI

Davidson B., Gillies R.A., Pelletier A.L. Introversion and medical student education: challenges for both students and educators. Teach. Learn. Med. 2015;27(1):99–104. doi: 10.1080/10401334.2014.979183. PubMed DOI

Delorme S., Laroche D., DiRaddo R., Del Maestro R.F. NeuroTouch: a physics-based virtual simulator for cranial microneurosurgery training. Neurosurgery. 2012;71(1 Suppl. Operative):32–42. doi: 10.1227/NEU.0b013e318249c744. PubMed DOI

Drosdeck J.M., Osayi S.N., Peterson L.A., Yu L., Ellison E.C., Muscarella P. Surgeon and nonsurgeon personalities at different career points. J. Surg. Res. 2015;196(1):60–66. doi: 10.1016/j.jss.2015.02.021. PubMed DOI

Gadjradj P.S., Ghobrial J.B., Booi S.A., de Rooij J.D., Harhangi B.S. Mistreatment, discrimination and burn-out in Neurosurgery. Clin. Neurol. Neurosurg. 2021;202 doi: 10.1016/j.clineuro.2021.106517. PubMed DOI

Hedman L.R., Felländer-Tsai L. Simulation-based skills training in non-performing orthopedic surgeons: skills acquisition, motivation, and flow during the COVID-19 pandemic. Acta Orthop. 2020;91(5):520–522. doi: 10.1080/17453674.2020.1781413. PubMed DOI PMC

Hinkle J.T., Pontone G.M. Psychomotor processing and functional decline in Parkinson's disease predicted by the Purdue Pegboard test. Int. J. Geriatr. Psychiatr. 2021;36(6):909–916. doi: 10.1002/gps.5492. PubMed DOI PMC

Holloway T., Lorsch Z.S., Chary M.A., et al. Operator experience determines performance in a simulated computer-based brain tumor resection task. Int. J. Comput. Assist. Radiol. Surg. 2015;10(11):1853–1862. doi: 10.1007/s11548-015-1160-y. PubMed DOI

Jena A.B., Seabury S., Lakdawalla D., Chandra A. Malpractice risk according to physician specialty. N. Engl. J. Med. 2011;365(7):629–636. doi: 10.1056/NEJMsa1012370. PubMed DOI PMC

Khan M.A., Malviya M., English K., et al. Medical student personality traits and clinical grades in the internal medicine clerkship. Med. Sci. Educ. 2021;31(2):637–645. doi: 10.1007/s40670-021-01239-5. PubMed DOI PMC

Kohn L.T., Corrigan J.M., Donaldson M.S., editors. No Title. Washington (DC) 2000. DOI

Lourinho I., Ferreira M.A., Severo M. Personality and achievement along medical training: evidence from a cross-lagged analysis. PLoS One. 2017;12(10) doi: 10.1371/journal.pone.0185860. PubMed DOI PMC

McGreevy J., Wiebe D. A preliminary measurement of the surgical personality. Am. J. Surg. 2002;184(2):121–125. doi: 10.1016/s0002-9610(02)00919-4. PubMed DOI

McGuire L.S., Fuentes A., Alaraj A. Three-dimensional modeling in training, simulation, and surgical planning in open vascular and endovascular neurosurgery: a systematic review of the literature. World Neurosurg. 2021;154:53–63. doi: 10.1016/j.wneu.2021.07.057. PubMed DOI

McManus I.C., Keeling A., Paice E. Stress, burnout and doctors' attitudes to work are determined by personality and learning style: a twelve year longitudinal study of UK medical graduates. BMC Med. 2004;2:29. doi: 10.1186/1741-7015-2-29. PubMed DOI PMC

Meling T.R., Meling T.R. The impact of surgical simulation on patient outcomes: a systematic review and meta-analysis. Neurosurg. Rev. 2021;44(2):843–854. doi: 10.1007/s10143-020-01314-2. PubMed DOI PMC

Park C.-K. 3D-Printed disease models for neurosurgical planning, simulation, and training. J. Korean Neurosurg. Soc. 2022;65(4):489–498. doi: 10.3340/jkns.2021.0235. PubMed DOI PMC

Perin A., Gambatesa E., Galbiati T.F., et al. The “STARS-CASCADE” study: virtual reality simulation as a new training approach in vascular neurosurgery. World Neurosurg. 2021;154:e130–e146. doi: 10.1016/j.wneu.2021.06.145. PubMed DOI

Perin A., Carone G., Rui C.B., et al. The “STARS-CT-MADE” study: advanced rehearsal and intraoperative navigation for skull base tumors. World Neurosurg. 2021;154:e19–e28. doi: 10.1016/j.wneu.2021.06.058. PubMed DOI

Perin A., Gambatesa E., Rui C.B., et al. The “STARS” study: advanced pre-operative rehearsal and intraoperative navigation in neurosurgical oncology. J. Neurosurg. Sci. 2022 doi: 10.23736/S0390-5616.22.05516-3. PubMed DOI

Ratinam R., Quayle M., Crock J., Lazarus M., Fogg Q., McMenamin P. Challenges in creating dissectible anatomical 3D prints for surgical teaching. J. Anat. 2019;234(4):419–437. doi: 10.1111/joa.12934. PubMed DOI PMC

Ribeiro de Oliveira M.M., Nicolato A., Santos M., et al. Face, content, and construct validity of human placenta as a haptic training tool in neurointerventional surgery. J. Neurosurg. 2016;124(5):1238–1244. doi: 10.3171/2015.1.JNS141583. PubMed DOI

Seymour N.E., Gallagher A.G., Roman S.A., et al. Virtual reality training improves operating room performance: results of a randomized, double-blinded study. Ann. Surg. 2002;236(4):454–458. doi: 10.1097/00000658-200210000-00008. PubMed DOI PMC

Spreen O., Strauss E. second ed. Oxford University Press; New York, NY, US: 1998. A Compendium of Neuropsychological Tests: Administration, Norms, and Commentary.

Tagaytayan R., Kelemen A., Sik-Lanyi C. Augmented reality in neurosurgery. Arch. Med. Sci. 2018;14(3):572–578. doi: 10.5114/aoms.2016.58690. PubMed DOI PMC

Wetzel C.M., Kneebone R.L., Woloshynowych M., et al. The effects of stress on surgical performance. Am. J. Surg. 2006;191(1):5–10. doi: 10.1016/j.amjsurg.2005.08.034. PubMed DOI

Zaed I., Jaaiddane Y., Chibbaro S., Tinterri B. Burnout among neurosurgeons and residents in neurosurgery: a systematic review and meta-analysis of the literature. World Neurosurg. 2020;143:e529–e534. doi: 10.1016/j.wneu.2020.08.005. PubMed DOI PMC

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