Subscribe to RSS
DOI: 10.1055/a-2491-3249
Microsurgery in Motion: An Objective Assessment of Microsurgical Skill and Efficiency
Funding This study was supported by a University of Wisconsin Department of Surgery internal grant.Abstract
Background High levels of precision, as well as controlled, efficient motions, are important components of microsurgical technique and success. An accurate and objective means of skill assessment is lacking in resident microsurgical education. Here we employ three-dimensional, real-time motion-tracking technology to analyze hand and instrument motion during microsurgical anastomoses. We hypothesize that motion metrics can objectively quantify microsurgical skill and predict the overall level of expertise.
Methods Seventeen participants including medical students, plastic surgery residents, and attendings performed two end-to-end arterial microsurgical anastomoses in a laboratory setting. Motion tracking sensors were applied to standardized positions on participants' hands and microsurgical instruments. Motion and time parameters were abstracted using sensor-derived position data.
Results A total of 32 anastomoses were completed and analyzed. There were significant differences in time for task completion and idle time between attendings and junior residents (post-graduate year (PGY)1–3). Path length and working volume consistently differentiated between students and attendings for all phases of an anastomosis. Motion and time data were less able to consistently distinguish attendings from residents stratified by laboratory anastomosis experience.
Conclusion Quantifiable motion parameters provide objective data regarding the efficiency of microsurgical techniques in surgical trainees. These data provide a basis for microsurgical competency assessments and may inform future structured feedback through instruction, instruments, and technological interfaces.
Authors' Contributions
S.M.L.: Project conceptualization, data collection, manuscript writing
W.Z.: Subject recruitment and data collection, manuscript editing
S.Y.: Data collection and analysis, manuscript editing
B.J.W.: Data collection and analysis, manuscript editing
H.M.: Data collection and analysis, manuscript editing
C.M.P.: Project conceptualization and design
S.O.P.: Project conceptualization and design, manuscript editing
Publication History
Received: 17 August 2024
Accepted: 23 November 2024
Article published online:
15 January 2025
© 2025. Thieme. All rights reserved.
Thieme Medical Publishers, Inc.
333 Seventh Avenue, 18th Floor, New York, NY 10001, USA
-
References
- 1 Accreditation Council for Graduate Medical Education. Summary of Proposed Changes to ACGME Common Program Requirements Section VI. Accessed February 17, 2023 at: https://www.acgme.org/programs-and-institutions/programs/common-program-requirements/summary-of-proposed-changes-to-acgme-common-program-requirements-section-vi/
- 2 Nguyen VT, Losee JE. Time- versus competency-based residency training. Plast Reconstr Surg 2016; 138 (02) 527-531
- 3 Long DM. Competency-based residency training: the next advance in graduate medical education. Acad Med 2000; 75 (12) 1178-1183
- 4 Shulzhenko NO, Zeng W, Albano NJ. et al. Multispecialty microsurgical course utilizing the blue-blood chicken thigh model significantly improves resident comfort, confidence, and attitudes in multiple domains. J Reconstr Microsurg 2020; 36 (02) 142-150
- 5 Donnelly DT, Nicksic PJ, Zeng W, Dingle AM, Poore SO. Evaluation of a full-time microsurgeon educator on resident training, research collaboration, and grant funding. J Reconstr Microsurg 2023; 39 (08) 648-654
- 6 Albano NJ, Zeng W, Lin C, Uselmann AJ, Eliceiri KW, Poore SO. Augmentation of chicken thigh model with fluorescence imaging allows for real-time, high fidelity assessment in supermicrosurgery training. J Reconstr Microsurg 2021; 37 (06) 514-518
- 7 Selber JC, Chang EI, Liu J. et al. Tracking the learning curve in microsurgical skill acquisition. Plast Reconstr Surg 2012; 130 (04) 550e-557e
- 8 Satterwhite T, Son J, Carey J. et al. Microsurgery education in residency training: validating an online curriculum. Ann Plast Surg 2012; 68 (04) 410-414
- 9 Temple CLF, Ross DC. A new, validated instrument to evaluate competency in microsurgery: the University of Western Ontario Microsurgical Skills Acquisition/Assessment instrument [outcomes article]. Plast Reconstr Surg 2011; 127 (01) 215-222
- 10 Pines AR, Alghoul MS, Hamade YJ. et al. Assessment of the interrater reliability of the Congress of Neurological Surgeons Microanastomosis Assessment Scale. Oper Neurosurg (Hagerstown) 2017; 13 (01) 108-112
- 11 Mohamadipanah H, Perrone KH, Peterson K. et al. Sensors and psychomotor metrics: a unique opportunity to close the gap on surgical processes and outcomes. ACS Biomater Sci Eng 2020; 6 (05) 2630-2640
- 12 Oropesa I, Sánchez-González P, Lamata P. et al. Methods and tools for objective assessment of psychomotor skills in laparoscopic surgery. J Surg Res 2011; 171 (01) e81-e95
- 13 Saleh GM, Gauba V, Sim D, Lindfield D, Borhani M, Ghoussayni S. Motion analysis as a tool for the evaluation of oculoplastic surgical skill: evaluation of oculoplastic surgical skill. Arch Ophthalmol 2008; 126 (02) 213-216
- 14 Mohamadipanah H, Nathwani J, Peterson K. et al. Shortcut assessment: Can residents' operative performance be determined in the first five minutes of an operative task?. Surgery 2018; 163 (06) 1207-1212
- 15 Hermsen JL, Mohamadipanah H, Yang S. et al. Multimodal cardiopulmonary bypass skills assessment within a high-fidelity simulation environment. Ann Thorac Surg 2021; 112 (02) 652-660
- 16 Dressler FF, Gratzke C, Miernik A, Schoeb DS. Track and teach: identifying key movement patterns in endoscopic transurethral enucleation of the prostate. Urol Int 2021; 105 (9-10): 835-845
- 17 Grober ED, Roberts M, Shin EJ, Mahdi M, Bacal V. Intraoperative assessment of technical skills on live patients using economy of hand motion: establishing learning curves of surgical competence. Am J Surg 2010; 199 (01) 81-85
- 18 McGoldrick RB, Davis CR, Paro J, Hui K, Nguyen D, Lee GK. Motion analysis for microsurgical training: objective measures of dexterity, economy of movement, and ability. Plast Reconstr Surg 2015; 136 (02) 231e-240e
- 19 Nikon's MicroscopyU. Depth of Field and Depth of Focus. Accessed February 17, 2023 at: https://www.microscopyu.com/microscopy-basics/depth-of-field-and-depth-of-focus
- 20 Applebaum MA, Doren EL, Ghanem AM, Myers SR, Harrington M, Smith DJ. Microsurgery competency during plastic surgery residency: an objective skills assessment of an integrated residency training program. Eplasty 2018; 18: e25
- 21 Zeng W, Shulzhenko NO, Feldman CC, Dingle AM, Poore SO. “Blue-blood”- infused chicken thigh training model for microsurgery and supermicrosurgery. Plast Reconstr Surg Glob Open 2018; 6 (04) e1695
- 22 D'Angelo ALD, Rutherford DN, Ray RD. et al. Idle time: an underdeveloped performance metric for assessing surgical skill. Am J Surg 2015; 209 (04) 645-651
- 23 Hopper AN, Jamison MH, Lewis WG. Learning curves in surgical practice. Postgrad Med J 2007; 83 (986) 777-779
- 24 Fitts PM, Posner MI. Human Performance. Brooks/Cole;; 1967
- 25 Reznick RK, MacRae H. Teaching surgical skills–changes in the wind. N Engl J Med 2006; 355 (25) 2664-2669
- 26 Grober ED, Hamstra SJ, Wanzel KR. et al. Validation of novel and objective measures of microsurgical skill: hand-motion analysis and stereoscopic visual acuity. Microsurgery 2003; 23 (04) 317-322
- 27 Joy MT, Applebaum MA, Anderson WM, Serletti JM, Capito AE. Impact of high-fidelity microvascular surgery simulation on resident training. J Reconstr Microsurg 2024; 40 (03) 211-216
- 28 Cui L, Han Y, Liu X. et al. Innovative clinical scenario simulator for step-by-step microsurgical training. J Reconstr Microsurg 2024; 40 (07) 542-550
- 29 Chauhan R, Ingersol C, Wooden WA. et al. Fundamentals of microsurgery: a novel simulation curriculum based on validated laparoscopic education approaches. J Reconstr Microsurg 2023; 39 (07) 517-525