Attainment of neuromicrosurgical skills is a challenge in teaching hospitals throughout training. Models that mimic the workflow, as well as haptics, are time-consuming, expensive, unsuitable to serve as a routine platform.
Presenting a model and a set of tasks, based upon a hard-boiled egg, microscope and a cavitron ultrasonic aspirator (CUSA), which is cheap, easy to set up, and can be used for training microsurgery and CUSA skills, required for removal of deep-seated tumors.
The goal was to remove the egg yolk from within a hard-boiled egg, representing an intrinsic brain tumor, surrounded by the egg's white, representing adjacent brain tissue while preserving it. The assessment was based on the yolk's exposure, completeness of removal and collateral damage, and task completion duration, with repeated trials (N=4), for validation purposes, for 6 operators with different experience levels.
Improvement in overall score (mean of 47.5±19 in the 1st trial vs 80.0±12 in the 4th trial, p<0.01), and task duration completion (mean initial duration of 21:25±4:52 minutes to 15:30±5:17 minutes, p<0.01) was observed. Parameters gradually improved on repeated attempts and the experience level of the operators correlated with scores.
The egg model is an easy-to-handle, cheap model that enables the acquisition of basic micro-neurosurgical skills and basic workflow required for removing intrinsic brain tumors. The study of Doron et al. has validated and defined reproducible tasks that can be scored, correlated with performance. This model can be incorporated into a resident's routine and potentially provide an accessible training platform for neurosurgical trainees 1).
Technical skills can refer to the ability to perform tasks that require the use of certain tools, whether tangible or intangible, and technology to complete them. In this regard, the knowledge in a technical skills area is seen as practical in nature as it allows a person to complete a designated task in a real, not theoretical, way. Given the growth of technology within the economy, the need for technical skills is likely to continue to grow.
Although technical skills are fundamental in neurosurgery, there is little agreement on how to describe, measure, or compare skills among surgeons.
Volovici V, Dindelegan G. Studies of Microsurgical Skill-The Key Lies in the Design. JAMA Ophthalmol. 2020 Nov 5. doi: 10.1001/jamaophthalmol.2020.4755. Epub ahead of print. PMID: 33151277. 2).
Microsurgical interposition of vein grafts is an extraordinarily filigree surgical technique, which requires both sound theoretical knowledge and solid manual skills. Although there are a large number of training models, the majority of these are either relatively expensive, technically complex, or employ synthetic materials with poor resemblance to human tissue. The authors' model allows training of ex vivo vein graft interposition on gradually thawed cryopreserved vessels and it, therefore, is cost-efficient and readily available when needed. Furthermore, it respects the 3R-principle (Reduce-Refine-Replace), as it is based on rat cadaveric vessels.
Three trainees with basic microsurgical experience, but without prior performance of vein graft interpositioning, were chosen to perform 20 femoral vein graft (5 mm) interpositions into femoral artery defects. The patency and leakage rate served as qualitative variable and operation time as a quantitative variable for efficiency control.
For the first half of trials, the trainees had a patency failure rate of 50% and for the second half a rate of 13.3%. The leakage rate noticeably decreased from 44.4% in the first half of trials to 10% in the second half. Although the trainees needed 60 minutes on average for their first 10 trials, they improved to 51 minutes for their last 10 anastomoses.
Safis et al., microsurgical model offers a simple, low-cost simulation training, specifically designed for learning of vein graft interposition into arterial defects. The model is associated with a high learning curve, based on an objective control of the anastomoses by assessment of the patency, leakage, and operation time 3).
The primary goal of a study was to develop a quantitative grading scale for technical surgical performance that distinguishes operator skill when graded by domain experts (residents, attendings, and non-surgeons). Scores provided by raters should be highly reliable with respect to scores from other observers.
Neurosurgery residents were fitted with a head-mounted video camera while performing craniotomies under attending supervision. Seven videos, one from each PGY level (1-7), were anonymized and scored by 16 attendings, 8 residents, and 7 non-surgeons using a grading scale. Seven skills were graded; these were incision, efficiency of instrument use, cauterization, tissue handling, drilling/craniotomy, confidence, and training level.
A strong correlation was found between skills score and PGY year (p< .001, ANOVA). Junior residents (PGY 1-3) had significantly lower scores than senior residents (PGY 4-7, p< .001, t-test). Significant variation among junior residents was observed, while senior residents' scores were not significantly different from one another. Inter-rater reliability, measured against other observers, was high (r= 0.581 ± 0.245, Spearman) as was assessment of resident training level (r= 0.583 ± 0.278, Spearman). Both variables were strongly correlated (r = 0.90, Pearson). Attendings, residents, and non-surgeons did not score differently (p=0.46, ANOVA).
Technical skills of neurosurgery residents recorded during craniotomy can be measured with high inter-rater reliability. Surgeons and non-surgeons alike readily distinguish different skill levels. This type of assessment could be used to coach residents, to track performance over time, and potentially to compare skill levels. Developing an objective tool to evaluate surgical performance would be useful in several areas of neurosurgery education 4).
Neurosurgery requires manual dexterity. But should tests be devised to assess manual skills as part of a selection process for training or used as a means of determining surgical competence? Neil-Dwyer and Lang debated this fundamental question and proposed that manual skills for neurosurgical tasks need to be defined within the overall context of a recognised and fully assessed training programme. The importance of training as a means of transferring competence, part of which is manual skills, is emphasised. In conclusion the paper points out the inadequacy of solely measuring manual skills, were it possible, in assessing neurosurgical competence 5).
Manual skills reflect the intellectual ability for analysis of different situations during surgery. Samii doesn’t believe that a very skillful artist who is able to perform a very complicated piece repeatedly would necessarily become a skilled neurosurgeon 6).
1: Safi AF, Safi S, Tayeh M, Gojowy D, Timmer M, Goldbrunner R, Kauke M. Vein Graft Interposition: A Training Model Using Gradually Thawed Cryopreserved Vessels. J Craniofac Surg. 2019 Feb 9. doi: 10.1097/SCS.0000000000005197. [Epub ahead of print] PubMed PMID: 30845093.
2: Lasunin N, Golbin DA. A Workshop for Training of Basic Neurosurgical Skills “From Microsurgery to Endoscopy”: A Stepping Stone for Young Neurosurgeons. Cureus. 2018 Nov 30;10(11):e3658. doi: 10.7759/cureus.3658. PubMed PMID: 30755835; PubMed Central PMCID: PMC6364950.
3: Carolus A, Hesse M, Rudak B, Weihe S, Brenke C. Development of a brain simulator for intracranial targeting: Technical note. J Clin Neurosci. 2019 Jan;59:378-383. doi: 10.1016/j.jocn.2018.10.060. Epub 2018 Oct 28. PubMed PMID: 30377042.
4: Kirby RL, de Groot S, Cowan RE. Relationship between wheelchair skills scores and peak aerobic exercise capacity of manual wheelchair users with spinal cord injury: a cross-sectional study. Disabil Rehabil. 2018 Sep 5:1-8. doi: 10.1080/09638288.2018.1493545. [Epub ahead of print] PubMed PMID: 30183422.
5: Alicandri-Ciufelli M, Marchioni D, Pavesi G, Canzano F, Feletti A, Presutti L. Acquisition of surgical skills for endoscopic ear and lateral skull base surgery: a staged training programme. Acta Otorhinolaryngol Ital. 2018 Apr;38(2):151-159. doi: 10.14639/0392-100X-1878. PubMed PMID: 29967560; PubMed Central PMCID: PMC6028814.
6: Belykh E, Onaka NR, Abramov IT, Yağmurlu K, Byvaltsev VA, Spetzler RF, Nakaj P, Preul MC. Systematic Review of Factors Influencing Surgical Performance: Practical Recommendations for Microsurgical Procedures in Neurosurgery. World Neurosurg. 2018 Apr;112:e182-e207. doi: 10.1016/j.wneu.2018.01.005. Epub 2018 Jan 9. Review. PubMed PMID: 29325962.
7: Dakson A, Hong M, Clarke DB. Virtual Reality Surgical Simulation: Implications for Resection of Intracranial Gliomas. Prog Neurol Surg. 2018;30:106-116. doi: 10.1159/000464385. Epub 2017 Dec 14. Review. PubMed PMID: 29241171.
8: Konakondla S, Brimley CJ, Sublett JM, Stefanowicz E, Flora S, Mongelluzzo G, Schirmer CM. Multimodality 3D Superposition and Automated Whole Brain Tractography: Comprehensive Printing of the Functional Brain. Cureus. 2017 Sep 29;9(9):e1731. doi: 10.7759/cureus.1731. PubMed PMID: 29201580; PubMed Central PMCID: PMC5707174.
9: Kim SY, Hsu JE, Husbands LC, Kleim JA, Jones TA. Coordinated Plasticity of Synapses and Astrocytes Underlies Practice-Driven Functional Vicariation in Peri-Infarct Motor Cortex. J Neurosci. 2018 Jan 3;38(1):93-107. doi: 10.1523/JNEUROSCI.1295-17.2017. Epub 2017 Nov 13. PubMed PMID: 29133435; PubMed Central PMCID: PMC5761439.
10: Breimer GE, Haji FA, Bodani V, Cunningham MS, Lopez-Rios AL, Okrainec A, Drake JM. Simulation-based Education for Endoscopic Third Ventriculostomy: A Comparison Between Virtual and Physical Training Models. Oper Neurosurg (Hagerstown). 2017 Feb 1;13(1):89-95. doi: 10.1227/NEU.0000000000001317. PubMed PMID: 28931258.
11: Lin Y, Mukhopadhyay S, Meguid RA, Kuwayama DP. The Colorado Humanitarian Surgical Skills Workshop: A Cadaver-Based Workshop to Prepare Residents for Surgery in Austere Settings. J Surg Educ. 2018 Mar - Apr;75(2):383-391. doi: 10.1016/j.jsurg.2017.08.009. Epub 2017 Aug 31. PubMed PMID: 28864266.
12: Akhigbe T, Zolnourian A, Bulters D. Mentoring models in neurosurgical training: Review of literature. J Clin Neurosci. 2017 Nov;45:40-43. doi: 10.1016/j.jocn.2017.07.025. Epub 2017 Aug 12. Review. PubMed PMID: 28811078.
13: Gong F, Li P, Li B, Zhang S, Zhang X, Yang S, Liu H, Wang W. A study of cognitive function in treatment-refractory obsessive-compulsive disorder treated with capsulotomy. J Neurosurg. 2018 Feb;128(2):583-595. doi: 10.3171/2016.9.JNS152494. Epub 2017 Mar 24. PubMed PMID: 28338440.
14: Vaivre-Douret L, Boschi A, Cuny ML, Clouard C, Mosser A, Golse B, Philippe A, Bourgeois M, Boddaert N, Puget S. [Left temporal arachnoid cyst and specific learning disorders associated with Pervasive Developmental Disorders - Not Otherwise Specified (PDD-NOS): contributions of an integrative neuropsychomotor, neuropsychological, psychopathological and neurosurgical approach about a case report in a child (François)]. Encephale. 2016 Dec;42(6):582-588. doi: 10.1016/j.encep.2016.07.001. Epub 2016 Sep 16. French. PubMed PMID: 27644917.
15: Dinomais M, Hertz-Pannier L, Groeschel S, Delion M, Husson B, Kossorotoff M, Renaud C, Chabrier S, The Tich SN; AVCnn Study Group. Does Contralesional Hand Function After Neonatal Stroke Only Depend on Lesion Characteristics? Stroke. 2016 Jun;47(6):1647-50. doi: 10.1161/STROKEAHA.116.013545. Epub 2016 May 10. PubMed PMID: 27165960.
16: Germanovich A, Ferrante FM. Multi-Modal Treatment Approach to Painful Rib Syndrome: Case Series and Review of the Literature. Pain Physician. 2016 Mar;19(3):E465-71. PubMed PMID: 27008303.
17: Kamp MA, Knipps J, Steiger HJ, Rapp M, Cornelius JF, Folke-Sabel S, Sabel M. Training for brain tumour resection: a realistic model with easy accessibility. Acta Neurochir (Wien). 2015 Nov;157(11):1975-81; discussion 1981. doi: 10.1007/s00701-015-2590-6. Epub 2015 Sep 26. PubMed PMID: 26407857.
18: Roitberg BZ, Kania P, Luciano C, Dharmavaram N, Banerjee P. Evaluation of Sensory and Motor Skills in Neurosurgery Applicants Using a Virtual Reality Neurosurgical Simulator: The Sensory-Motor Quotient. J Surg Educ. 2015 Nov-Dec;72(6):1165-71. doi: 10.1016/j.jsurg.2015.04.030. Epub 2015 Jul 4. PubMed PMID: 26153114.
19: Haji FA, Clarke DB, Matte MC, Brandman DM, Brien S, de Ribaupierre S, O'Kelly C, Christie S, McDonald PJ, Kulkarni AV, Walling S, MacLeod A. Teaching for the Transition: the Canadian PGY-1 Neurosurgery 'Rookie Camp'. Can J Neurol Sci. 2015 Jan;42(1):25-33. doi: 10.1017/cjn.2014.124. Epub 2015 Jan 9. PubMed PMID: 25573052.
20: Funk JF, Panthen A, Bakir MS, Gruschke F, Sarpong A, Wagner C, Lebek S, Haberl EJ. Predictors for the benefit of selective dorsal rhizotomy. Res Dev Disabil. 2015 Feb;37:127-34. doi: 10.1016/j.ridd.2014.11.012. Epub 2014 Nov 29. PubMed PMID: 25460226.
21: Fontes RB, Selden NR, Byrne RW. Fostering and assessing professionalism and communication skills in neurosurgical education. J Surg Educ. 2014 Nov-Dec;71(6):e83-9. doi: 10.1016/j.jsurg.2014.06.016. Epub 2014 Aug 29. PubMed PMID: 25168713.
22: Kshettry VR, Mullin JP, Schlenk R, Recinos PF, Benzel EC. The role of laboratory dissection training in neurosurgical residency: results of a national survey. World Neurosurg. 2014 Nov;82(5):554-9. doi: 10.1016/j.wneu.2014.05.028. Epub 2014 May 27. PubMed PMID: 24875190.
23: Morse J, Terrasini N, Wehbe M, Philippona C, Zaouter C, Cyr S, Hemmerling TM. Comparison of success rates, learning curves, and inter-subject performance variability of robot-assisted and manual ultrasound-guided nerve block needle guidance in simulation. Br J Anaesth. 2014 Jun;112(6):1092-7. doi: 10.1093/bja/aet440. Epub 2014 Jan 23. PubMed PMID: 24464610.
24: Roitberg B, Banerjee P, Luciano C, Matulyauskas M, Rizzi S, Kania P, Gasco J. Sensory and motor skill testing in neurosurgery applicants: a pilot study using a virtual reality haptic neurosurgical simulator. Neurosurgery. 2013 Oct;73 Suppl 1:116-21. doi: 10.1227/NEU.0000000000000089. PubMed PMID: 24051874.
25: Cole JT, Yarnell A, Kean WS, Gold E, Lewis B, Ren M, McMullen DC, Jacobowitz DM, Pollard HB, O'Neill JT, Grunberg NE, Dalgard CL, Frank JA, Watson WD. Craniotomy: true sham for traumatic brain injury, or a sham of a sham? J Neurotrauma. 2011 Mar;28(3):359-69. doi: 10.1089/neu.2010.1427. PubMed PMID: 21190398; PubMed Central PMCID: PMC3057208.
26: Psaras T, Honegger J, Gallwitz B, Milian M. Are there gender-specific differences concerning quality of life in treated acromegalic patients? Exp Clin Endocrinol Diabetes. 2011 May;119(5):300-5. doi: 10.1055/s-0030-1267912. Epub 2010 Oct 28. PubMed PMID: 21031340.
27: Brasiliense LB, Safavi-Abbasi S, Crawford NR, Spetzler RF, Theodore N. The legacy of Hephaestus: the first craniotomy. Neurosurgery. 2010 Oct;67(4):881-4; discussion 884. doi: 10.1227/NEU.0b013e3181ee022b. PubMed PMID: 20881551.
28: van Kleef M, Stolker RJ, Lataster A, Geurts J, Benzon HT, Mekhail N. 10. Thoracic pain. Pain Pract. 2010 Jul-Aug;10(4):327-38. doi: 10.1111/j.1533-2500.2010.00376.x. Epub 2010 May 12. Review. PubMed PMID: 20492577.
29: Callu D, Viguier D, Laroussinie F, Puget S, Boddaert N, Kieffer V, Piana H, Escolano S, Renier D, Sainte-Rose C, Grill J, Dellatolas G. Cognitive and academic outcome after benign or malignant cerebellar tumor in children. Cogn Behav Neurol. 2009 Dec;22(4):270-8. doi: 10.1097/WNN.0b013e3181bf2d4c. PubMed PMID: 19996881.
30: Aberg M, Ljungberg C, Edin E, Millqvist H, Nordh E, Theorin A, Terenghi G, Wiberg M. Clinical evaluation of a resorbable wrap-around implant as an alternative to nerve repair: a prospective, assessor-blinded, randomised clinical study of sensory, motor and functional recovery after peripheral nerve repair. J Plast Reconstr Aesthet Surg. 2009 Nov;62(11):1503-9. doi: 10.1016/j.bjps.2008.06.041. Epub 2008 Oct 19. PubMed PMID: 18938119.
31: Darian-Smith C, Ciferri M. Cuneate nucleus reorganization following cervical dorsal rhizotomy in the macaque monkey: its role in the recovery of manual dexterity. J Comp Neurol. 2006 Oct 1;498(4):552-65. PubMed PMID: 16874805.
32: Darian-Smith C, Ciferri MM. Loss and recovery of voluntary hand movements in the macaque following a cervical dorsal rhizotomy. J Comp Neurol. 2005 Oct 10;491(1):27-45. PubMed PMID: 16127695.
33: Frey SH, Funnell MG, Gerry VE, Gazzaniga MS. A dissociation between the representation of tool-use skills and hand dominance: insights from left- and right-handed callosotomy patients. J Cogn Neurosci. 2005 Feb;17(2):262-72. PubMed PMID: 15811238.
34: Döbrössy MD, Dunnett SB. Motor training effects on recovery of function after striatal lesions and striatal grafts. Exp Neurol. 2003 Nov;184(1):274-84. PubMed PMID: 14637098.
35: Vougioukas VI, Hubbe U, Hochmuth A, Gellrich NC, van Velthoven V. Perspectives and limitations of image-guided neurosurgery in pediatric patients. Childs Nerv Syst. 2003 Dec;19(12):783-91. Epub 2003 Oct 11. PubMed PMID: 14556032.
36: Myles ST, McAleer S. Selection of neurosurgical trainees. Can J Neurol Sci. 2003 Feb;30(1):26-30. PubMed PMID: 12619780.
Studies applying Transcranial direct current stimulation (tDCS) to motor regions to enhance surgical skills have observed modest benefits in performance. Early surgical skills acquisition is known to be dependent on the prefrontal cortex (PFC) which could be a suitable target for performance enhancement in fields with high cognitive demand.
Objective: To assess whether prefrontal tDCS could improve early phases of surgical skill development.
Methods: In a randomized sham-controlled double-blind parallel design, 40 surgical novices performed an open knot-tying task repeated in three blocks; pre-, online- and post-tDCS. During online stimulation, participants were randomized to either active tDCS (2 mA for 15 min) to the prefrontal cortex (anode over F3, cathode over F4) or sham tDCS. Performance score (PS) was computed using a validated algorithm and introspective workload domains were assessed using a SURG-TLX questionnaire.
Results: There was no difference in demographics or PS between groups prior to receiving tDCS. PS significantly improved from pre-to online- (p < 0.001) and from pre-to post-tDCS (p < 0.001) in the active group only. Following active tDCS, PS was closer to the defined proficiency benchmark and significantly greater compared to sham (p = 0.002). Only the active group reported significantly improved temporal demand scores from pre-to online- (p = 0.004) to post-tDCS (p = 0.002).
This study demonstrates significantly improved early phase surgical-skill acquisition following prefrontal tDCS. Further work is required to determine the underlying neurophysiological mechanisms and whether the benefits observed are retained long-term 7)