DR. SAYANTAN GHOSH
Semi Final
Abstract
Introduction: Learning surgery is through conventional observation and knowledge transfer fails to teach the finer variations anatomically and per op per se. Covid with dwindling patient load, new normal, restrictions present with unique challenge. Methodology: we developed a AutoCAD 3 D model with tissue properties imparted to simulate real anatomy and tissue behavior. A group of 12 trainees have been selected with one group randomized to training with simulator, doing surgeries and learning from fault and correction.(n=6) Other group was given conventional observership. The comparison was made on intensive response model and questionnaire. Results: first group found to be better skilled and prepared for cataract surgeries than the first one on multivariate analysis, cumulative analysis, mean comparison. (p 0.001).conclusion: autocad modelling can be a new avenue for training surgeries, cheap, suitable for distance learning.
Full Text
Introduction :
Covid pandemic has brought many new things ,of which disruption of physical learning in medicine world pained all the trainee doctors. [1] Newer problems ask for innovative solutions. Computer simulations has always been a part
of training modules of different instruments. Question that hovered around is application of softwires into learning and skill enhancement. Conventional modelling was difficult to reproduce as most of them were copyrighted , and
difficult to procure. There are past experiences ,although mostly in the sphere of anatomical reproduction, orbital anatomy, dynamic modelling for developmental studies or congenital malformations [2].
What we tried is to produce a basic model of cornea with intricate details reproduced as far as we can . Tissue properties are been incorporated as best as we can. We tried to initiate the concept of model learning as a part of
information revolution.
Materials and methods :
Licensed version of 3D modelling was used to create a corneal model with all the layers, and their possible variations( limited ,although).
These models are easily sharable and can be seen over a range of digital devices.
It was circulated among randomized number of ophthalmologists ,both trainee and seniors (with specialization in ophthalmology and at least 3 years of experience).
The models made magnifiable and with cross sections as far as possible.
Post 10 hours of use of these models multiple response model method was used to score the post use learning of the 13 users. Responses were analysed on regression analysis.
Results :
Users reported better acceptance, better representative ability, better simulation, easy availability over phone and improved sharing capacity.( cumulative frequency model on regression analysis).
P value for acceptance was 0.04 while better simulation was 0.03 , availability was 0.02 but others individually were non significant . Taken together factors were found to be significant.
Discussion :
3D modelling or computer modelling can be an excellent compliment to conventional method of learning. Easy use and availability across platforms can be its turnaround point. Understanding of diseases and their natural history
can be better relicated.
Conclusion :
Three dimensional modelling can be an alternative way of learning although it requires lot of development and studies to prove its efficacy.
Bibliography :
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L. N. DeCaporale-Ryan, J. V. Sakran, S. B. Grant, A. . Alseidi, T. . Rosenberg, R. F. Goldberg, H. . Sanfey, J. J. DuBose, S. . Stawicki, R. L. Ricca, E. T. Derrick, C. A. Bernstein, D. A. Jardine, A. J. Stefanou, B. . Aziz,
E. . He, S. . Dissanaike, C. G. R. Fortuna, R. J. Oviedo, J. . Shapiro, P. . Galowitz and J. . Moalem, “The undiagnosed pandemic: Burnout and depression within the surgical community.,” Current Problems in Surgery, vol. 54,
no. 9, pp. 453-502, 2017. - F. . Seiji, R. S. Moreira, M. A. D. Angelis and R. L. Smith, “Orbital asymmetry in development: an anatomical study,” Orbit, vol. 28, no. 6, pp. 342-346, 2009.


FP2198 : 3D model simulation for surgical training versus conventional training
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