Abstract

We have recently incorporated simple modifications of the konjac flour noodle model to enable DIY home microsurgical training by (i) placing a smartphone on a mug to act as a microscope with at least ×3.5–5 magnification, and (ii) rather than cannulating with a 22G needle as described by others, we have found that cannulation with a 23G needle followed by a second pass with an 18G needle will create a lumen (approximately 0.83 mm) without an overly thick and unrealistic “vessel” wall. The current setup, however, did not allow realistic evaluation of anastomotic patency as the noodles became macerated after application of standard microvascular clamps, which also did not facilitate practice of back-wall anastomoses. In order to simulate the actual operative environment as much as possible, we introduced the use of 3D-printed microvascular clamps. These were modified from its previous iteration (suitable for use in silastic and chicken thigh vessels), and video recordings were submitted for internal validation by senior surgeons. A “wet” operative field where the konjac noodle lumen can be distended or collapsed, unlike other nonliving models, was noted by senior surgeons. With the 3D clamps, the noodle could now be flipped over for back-wall anastomosis and allowed patency testing upon completion as it did not become macerated, unlike that from clinical microvascular clamps. The perceived advantages of this model are numerous. Not only does it comply with the 3Rs of simulation-based training, but it can also reduce the associated costs of training by up to a hundred-fold or more when compared to a traditional rat course and potentially be extended to low-middle income countries without routine access to microsurgical training for capacity development. That it can be utilized remotely also bodes well with the current limitations on face-to-face training due to COVID restrictions and lockdowns.

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