Table of Contents Author Guidelines Submit a Manuscript
Minimally Invasive Surgery
Volume 2018 (2018), Article ID 6130286, 9 pages
Review Article

Microvascular Anastomosis Training in Neurosurgery: A Review

1Irkutsk State Medical University, Krasnogo Vosstaniya St. 1, Irkutsk, Russia
2Irkutsk Scientific Center of Surgery and Traumatology, Bortsov Revolutsii St. 1, Irkutsk, Russia
3Railway Clinical Hospital, Irkutsk-Passazhirskiy of Russian Railways Ltd., Botkina St. 10, Irkutsk, Russia
4Irkutsk State Medical Academy of Postgraduate Education, Jubileiniyi 100, Irkutsk, Russia
5National Center of Neurosurgery, 34/1 Turan Av., Astana, Kazakhstan
6Department of Neurosurgery Research, Barrow Neurological Institute, St. Joseph’s Hospital and Medical Center, 350 West Thomas Road, Phoenix, AZ 85013, USA

Correspondence should be addressed to Vadim A. Byvaltsev; ur.xednay@midav57lavyb

Received 27 November 2017; Accepted 20 February 2018; Published 28 March 2018

Academic Editor: Peng Hui Wang

Copyright © 2018 Vadim A. Byvaltsev et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Cerebrovascular diseases are among the most widespread diseases in the world, which largely determine the structure of morbidity and mortality rates. Microvascular anastomosis techniques are important for revascularization surgeries on brachiocephalic and carotid arteries and complex cerebral aneurysms and even during resection of brain tumors that obstruct major cerebral arteries. Training in microvascular surgery became even more difficult with less case exposure and growth of the use of endovascular techniques. In this text we will briefly discuss the history of microvascular surgery, review current literature on simulation models with the emphasis on their merits and shortcomings, and describe the views and opinions on the future of the microvascular training in neurosurgery. In “dry” microsurgical training, various models created from artificial materials that simulate biological tissues are used. The next stage in training more experienced surgeons is to work with nonliving tissue models. Microvascular training using live models is considered to be the most relevant due to presence of the blood flow. Training on laboratory animals has high indicators of face and constructive validity. One of the future directions in the development of microsurgical techniques is the use of robotic systems. Robotic systems may play a role in teaching future generations of microsurgeons. Modern technologies allow access to highly accurate learning environments that are extremely similar to real environment. Additionally, assessment of microsurgical skills should become a fundamental part of the current evaluation of competence within a microneurosurgical training program. Such an assessment tool could be utilized to ensure a constant level of surgical competence within the recertification process. It is important that this evaluation be based on validated models.

1. Introduction

Cerebrovascular diseases are among the most widespread diseases in the world, which largely determine the structure of morbidity and mortality rates. Cerebral vascular pathology comprises the major part of neurology and neurosurgery. Today, significant progress has been made in the field of preventative revascularization of strokes due to the introduction of new technologies of microneurosurgery into clinical practice, contributing to the improvement of safety of treatment. It was shown that cerebral revascularization using extracranial to intracranial bypass may result in neurological symptoms improvement and an objective increase in regional cerebral blood flow in a selective cohort of patients with symptomatic chronic cerebrovascular ischemia [1]. But at the same time, several randomized controlled trials have shown no benefit of surgical revascularization compared to the best medical treatments to prevent stroke [2]. Bypass techniques are still valuable for the surgical treatment of complex cerebral aneurysms by reducing the risk of temporary and constant brain ischemia due to the alteration in blood flow.

Microvascular anastomosis techniques are important for revascularization surgeries on brachiocephalic and carotid arteries, complex cerebral aneurysms, and even during resection of brain tumors that obstruct major cerebral arteries. Successful performance of such complex procedures necessitates advanced requirements for neurosurgical training programs. Such training should include anastomosis practice in the depth of operative wound in conditions of limited vascular mobility and limited time periods.

Because of its complexity, the microanastomosis technique cannot be acquired by observing more experienced surgeons. Training in microsurgery requires considerable time and training resources. Surgeons develop microsurgical skills during training courses or in local hospital laboratories by practicing on various simulation models, using both synthetic and biological materials [3]. Analysis of the training of neurosurgery residents revealed a growing dissatisfaction with the quality of training as forty percent of young surgeons rated their microsurgical training as inadequate [4]. In this regard, neurosurgical training programs may benefit from an increased focus on hands-on microsurgical training.

In this text we will briefly discuss the history of microvascular surgery, review current literature on the simulation models with the emphasis on their merits and shortcomings, and describe the views and opinions on the future of the microvascular training in neurosurgery.

2. History of Microanastomosis Techniques Development

Modern surgery cannot be imagined without the vascular suture. The history of surgical interventions on the vessels goes back to at least ancient Hindu civilization, Greece, and Rome [24]. Instructions and experience to perform ligature procedures to locally arrest hemorrhage can be traced from Celsus through Galen, Oribasius, Rhases, Avicenna, Averroes, Guy of Cauliac, Lanfrancus, and Ambrose Pare. Ancient and medieval skilled surgeons or trained medical personnel traveling with the army frequently placed ligatures around bleeding vessels. They knew how to use tourniquets, arterial clamps, and ligatures to stem blood flow. It was common knowledge among ancient surgeons that veins and arteries carried blood; it was obvious to those dealing with horrendous injuries of weapons such as swords, knives, and spears which caused catastrophic peripheral injuries to soldiers and gladiators. The Roman surgeon was highly motivated to keep as many soldiers as functional as possible and had many delicate instruments for dealing with bleeding vessels. Hooks, probes, and other long thin metal instruments allowed efficient and effective maneuvering of small pieces of tissue. Such instruments were primarily used for dissection and for identifying and isolating blood vessels.

The first documented case of vessel recovery was an operation conducted by Hallowell in 1759, in which the patient was sutured with a lateral lesion of the wall of the brachial artery [25]. In 1877 Russian surgeon Eck first performed the anastomosis “side-by-side” between two vessels: the portal and the inferior vena cava [26]. In 1889 Jassinowski used thin nodular sutures when sewing a damaged vessel in a person, suggesting that vascular sutures should not penetrate through the intima of the vessel [27]. However, the most significant technical breakthrough occurred in 1902, when Carrel reported [28] the triangulation technique of anastomosing the vessel for which in part he was awarded the Nobel Prize in 1912. It is this technique of anastomosis developed by Alexis Carrel that is still used today. The following year, Hopfner reported a successful limb replantation in a dog [29]. The work of these pioneers laid the foundation for the subsequent development of microvascular surgery.

Introduction to clinical practice of anticoagulants was one of the key events in vascular surgery. Heparin was discovered by McLean in 1916 and the first successful clinical trials were published in the 1930s [30, 31]. The ability to control clotting was an important step in the development of microvascular surgery.

The final innovation that prompted the beginning of microvascular surgery was the introduction of an operating microscope into clinical practice. In 1954, in Sweden, Nylean experimented on a rabbit fenestration of the ear labyrinth fistula under a microscope with an increase of 10–15 magnification [32]. In 1922, his supervisor Holmgren invented the world’s first binocular microscope and introduced its use in otology [33].

In 1963, American neurosurgeon Kurze introduced a microscope into neurosurgical practice to remove the neuroma of the seventh nerve [33, 34]. Then, in 1960 Jacobson and Suarez first described the technique of performing vascular microanastomoses using an operating microscope, which marked the beginning of microvascular surgery [35].

In 1962 Jacobson together with Donaghy reported the first endarterectomy from the middle cerebral artery, using microsurgical reconstruction [36]. In 1965 Potts performed an anastomosis between the superficial temporal artery and the anterior cerebral artery, using a synthetic prosthesis as a shunt [37]. The era of widespread development of revascularization surgery began on October 30, 1967. After a year of training at the Donaghy Microsurgical Laboratory, Yasargil first performed the superposition of an extra-intracranial (EC-IC) microanastomosis between the superficial temporal artery and the cortical branch of middle cerebral artery in a patient with occlusion of the internal carotid artery [38].

Since the 1970s, reconstructive vascular surgeries have begun in the vertebrobasilar basin. Sundt performed EC-IC bypass between occipital artery and posterior cerebral artery in patients with cerebral circulation disorder [39]. Further development of vascular microneurosurgery led to the development of intra-intracranial (IC-IC) microanastomosis techniques. In 1979 Miller et al. conducted a microanastomosis between the middle meningeal artery and the cortical branch of the middle cerebral artery in a 61-year-old patient with parasagittal meningioma [40]. This technique has been intensively developed since the early 1990s and has found its application in reconstructive interventions in the treatment of complex cerebral aneurysms.

3. Overview of Definitions

The term validity is borrowed from literature on the problems of knowledge assessment and attestation. Its use in the context of simulation differs from the traditional one. In the context of knowledge assessment, in the simplest form, validity reflects the adequacy of the methodology in measuring outcomes. With respect to simulation, validity is the ability to teach higher cognitive, emotional, and psychomotor skills as much as is expected by the degree of realism achieved.

To assess the simulation models, several types of validity are distinguished [3]. “Face validity” is used to determine the realism of the situation and shows how well the experimental model reflects the actual operation; “content validity” is an assessment of the adequacy of the simulation, to what extent the model estimates a specific skill, and not other aspects, for example, anatomical knowledge; “construct validity” determines whether the successful passage of the model correlates with real operational skills, thus differentiating beginners and experts; “predictive validity” determines that the skills acquired in the simulator training process reflect the skill level in the real operating theater and are translated into clinical practice [41].

4. Simulation Models of Microanastomosis for a “Dry” Training

Among the various models used for the training of the microanastomosis skills (Table 1), dry models are the simplest ones.

Table 1: Validated models for microvascular anastomosis practice.

In “dry” microsurgical training, simulation models simulating biological tissues created from various materials are used. Such models are useful for beginning surgeons, since they are economically viable and do not require sophisticated technical equipment or coordination with an ethical committee. Disadvantages include low face and content validity. Thus, such models are only suitable for practicing basic skills of microscopy, training beginning surgeons with the subsequent transition to living models, and maintaining the skill of more experienced surgeons [42].

At the initial stage of the microvascular training, silicone tubes are used, which allow for the explanation of the basic principles of superposition of different types of anastomoses [43]. They are available in the form of cards with a set of tubes of different diameters: 2.0 mm, 1.0 mm, and 0.7 mm. In addition to silicone, the tubes can also be made of polyurethane [5], a thin latex [44], or hydrogel based on polyvinyl alcohol [45]. A simple model of microanastomosis can also be made from a conventional surgical glove [6]. This model is created by two longitudinal incisions of the glove strip, in which the glove site is then sewn by nodal seams. The obtained tube of glove rubber is suitable for testing anastomosing technique.

Such models can have potentially high construct validity. However, they have low face validity in view of the lack of similarity with living tissues since the elastic properties of the tubes do not correspond to the properties of living vessels. Thus, they cannot fully replace the “wet” training. With silicone tubes, it is best to train counter-pressure technique, suturing, and knotting in different directions.

To develop skills of anastomosing in a deep field, advanced synthetic models with an artificial skull and brain can be used, allowing for the use of brain retractors [46]. Modeling of the topographic location of arteries and cranial structures is carried out with computed tomography data and may be produced for a specific patient. Such models are excellent for sharpening the skills of working with microinstruments in the deep surgical field, handholding techniques with the hand rest against the cranial structures, and exercising suturing on vessels located with variable depths [47].

5. Tissue Simulation Models for a “Wet” Training

The next stage in training more experienced surgeons is to work with nonliving biological tissue models. Similarly to artificial models, nonliving biological models do not require complex technical equipment, coordination with the ethics committee (except for human tissues), and the availability of laboratories and have a relatively low cost. They have a potentially high face and construct validities, as they provide experience of handling of biological tissue. The main drawback of such models is the absence of living tissues and functioning blood flow.

The simplest tissue model is the use of chicken blood vessels taken from the wing [48]. Some authors reported that the use of chicken wing arteries reduced the use of live models by 80–100% [49]. The average size of the cortical branch of the middle cerebral artery is 1 mm (range 0.6–1.4 mm), which corresponds to the size of the radial arteries of the chicken wings [50]. A more efficient alternative to a chicken vessels can be the use of turkey wings [7]. Comparative studies show the superiority of turkey vessels due to the larger size of the vessels and decreased variability [51]. Other vessels exist such as in the thigh, but these require dissection, and such sections of the chicken or turkey are more expensive as they are more preferred food grade product. Chicken and turkey wings are seldom preferred for consumption and thus are much less cost to obtain. The vessels at the top of the wing are easily identified and dissected, and many wings can be stored in the freezer and then thawed and used by the student when convenient for practice.

The technique of microvascular anastomosis can also be reproduced using human or bovine placentas [9]. Human placenta anastomosis model includes cleaning of the fetal surface of the placenta, isolation of a second, or third-order arterial branch of 2-3 mm in diameter and more than 30 mm in length. This branch is then dissected free, cut distally, and moved towards the adjacent 1-2 mm arterial branch to perform an end-to-side anastomosis. Human placental arteries and bovine placental veins are convenient, are anatomically relevant material, and are a useful model for microneurosurgical training. Bovine placental vessels have some structural differences compared to human placentas, but they can be easily and continuously obtained from local dairies. Both human and bovine placentas are expansive, allowing several students to work at once on various sizes of vessels. They can be stored unperfused in normal saline in the refrigerator for up to at least a week. These models have a high face, content, and constructive validity. Models of cadaveric vessels have also been described [11]. The advantage of human cadaveric models is the possibility to practice the relevant human vessels of various sizes and diameters. However, this advantage comes with a risk of infections and need for appropriate infrastructure for acquisition and work with cadaveric material.

All of the above-mentioned models can be augmented by creating artificial perfusion using a closed system that mimics the circulation, using silicone tubes for intravenous infusion [52]. Standard infusion pumps can be connected to the system to simulate arterial pressure and pulsation may be simulated with these pumps. The system is filled with normal saline and can be tinted to achieve a resemblance to blood. A disadvantage of dyes is their frequent staining of the walls of the vessels. Blood perfusion most accurately simulates a living model due to the correspondence of viscosity and fluidity in living models, but may be impractical [53].

Perfused cadaver brain is a laborious model to set-up but is most similar to the real operative environment [54]. The opening of the arachnoid cisterns, vascular dissection, and microanastomosis can be performed very realistically in such a model although the actual “feel” of the vessel is usually altered (i.e., stiffened) as it is affected by the perfusate.

6. “Wet” Training Using Live Models

Microvascular training using live models could be considered as one of the best substrates for training of microvascular anastomoses due to the presence of natural blood flow. Despite the huge variety of models designed to replace training using animals, live models remain to be an indispensable part of microsurgical courses around the world.

Training conducted on laboratory animals has high indicators of face and constructive validity [8]. Working with animal vessels allows feasible rehearsal of the main stage of reconstructive vascular brain surgeries, the direct microanastomosis [55]. The presence of natural blood flow, the potential for thrombosis, and relative similarity of live animal tissues to human allow trainees to practice technique with great viability and realism.

A Wistar rat is the most commonly used laboratory animal in microvascular laboratories (Figure 1).

Figure 1: Microsurgical training on rat carotid arteries using an artificial skull with craniotomy as a simulation of surgical approach: rat, rat carotid arteries, and microsurgical instruments.

Microvascular suturing can be practiced on multiple large animal vessels including femoral, iliac, and carotid arteries and veins, aorta, and vena cava. Multiple types of anastomoses can be performed on the rat vessels including end-to-end, end-to-side, and side-to-side anastomoses and various arterial loops [8]. Venous [56], arterial, and synthetic vascular grafts [57] can also be used for practice on live animals.

Performance of anastomosis in the deep confined surgical field can be simulated with a plastic hand-rest that is placed above the operated area of the rat. This gives an open field about 3 cm wide and 3 cm deep. An anastomosis of the arteries and veins is then carried out through this opening [8].

Vessels of the rat are also suitable for submillimeter microanastomoses, like on the distal femoral neurovascular bundle with vessel diameter of 0.5 to 0.8 mm [58]. Vessels of such small diameter may be used for the treatment of moyamoya disease in children. However, otherwise, submillimeter vessels are rarely anastomosed in neurosurgery.

Working with living tissues provides great opportunities for training and assessing the skills of the surgeon. One of the most serious complications of the EC-IC bypass operations is cerebral ischemia associated with vascular thrombosis. The frequency of thrombosis has been reported to be as low as 1.7% in specialized centers [59]. The presence of thrombosis cannot be estimated on a nonliving model; therefore laboratory animal models give the opportunity to identify and analyze the causes of errors and develop methods to prevent their further occurrence.

Another advantage of working with animals is the ability to fully assess the damage to surrounding tissues during the operation. During training with nonliving models, the smallest damage that the surgeon does to surrounding tissues is not always noticeable. Live models can reveal such imperfections and provide valuable feedback to the operator. Also, the limitation of time is an important condition when working on anesthetized laboratory animal.

However, when working with laboratory animals, there are additional requirements for equipping the laboratory, coordinating logistics and training with procurement and handling of animals, acquiring ethical committee approval, ensuring adequate pharmaceutical control, and caring for animals during the surgery. The purchase and maintenance of laboratory animals impose serious material costs for the organization of a microvascular training laboratory. In order to minimize economic losses, various methods are being used: reducing work with animals on the initial stages and replacing them with synthetic or using tissue models from cryopreserved animal vessels left after training by more experienced trainees [60]. Trainees working with live animals should be required to practice on as many appropriate vessels as possible, not only on carotid arteries, but also on various accessible arteries and veins in the body as mentioned, even to include the vas deferens.

Despite the economic difficulties in their organization, microsurgery courses using live models have many advantages. They provide an excellent substrate to improve surgical skills and provide high accuracy of simulating clinical operations. The use of live models at advanced courses within the training program for microsurgeons is an excellent simulation model for complex procedures for microsurgical reconstruction. The live rat is one of the most universal models of microsurgery courses around the world, and 50 years after microsurgery was first developed, the laboratory rat model is still valid for developing microsurgery skills.

7. New Horizons in the Evolution of Microanastomosis Simulation Models

Training in microsurgery has always been conducted in the modeled environment, and the use of laboratory rat as a teaching model became standard, despite being without objective evidence of advantage over other models. The ex vivo simulation environment is becoming increasingly appealing on the basis of research that indicates reduced economic costs and limiting the use of animals. The experimental ex vivo training offers an economically efficient means to master microsurgical skills and it is in this environment that learning curves for specific exercises can be established [61]. Modern microsurgical training is often based on theories of acquiring and developing skills. As a result, validation and modeling have become increasingly important components of the microsurgical simulation.

As we proceed towards standardization of the microsurgical simulation models, there is a need to choose reliable assessment tools that adequately assess microsurgical competence (Table 2).

Table 2: Tools for microvascular anastomosis performance assessment.

Requirements for objective methods for evaluating microsurgical techniques led to the development of several global rating scales. These scales split the process of microsurgery into the relevant components, which are found to contribute to the overall effectiveness of the task accomplishment [62]. Video recording allows one to assess skills in a controlled environment [63], and, as technology developed, various methods for assessing competence became available, such as hand motion analysis. For example, the Imperial College of Surgeons capture device uses motion sensors attached to hands to assess hand movements and the length of time to complete a task [64]. It was shown that this device has applications for the evaluation of trainees microsurgeons [65].

One of the future directions in the development of microsurgical techniques is the use of robotic systems. Performing operations using these devices has several advantages. For example, the presence of hand tremor during surgical procedures is completely eliminated with robots, which is important when working under high magnification [66]. Furthermore, the precision of manipulation can be increased to the level that surpass free-hand human abilities [67]. These advantages provide great promise for using robotics in microsurgical manipulations. However, the main current limitation of robotic systems is an increase in the time spent for manipulations compared to standard techniques by 24–60% [67, 68]. Robotic systems attached to the arm or hand may limit the normal movement of the hand, thus significantly slowing the procedure. When using the Zeus® robotic surgery system, the increase in the time to complete anastomosis is also associated with the large size of the needle holder installed on this device [68].

The use of robotic systems to teach microsurgical skills may play a role in the education of the future generations of microsurgeons. The advantage includes familiarization with the methods of remote robotic manipulation of the instruments at the early stage of training. With the use of a robotic system, the goal is to bridge the gap in the quality and speed of anastomoses between the experienced surgeon and a specialist who does not possess special skills in microsurgery [67]. However, the fact that anastomosis completion time is still shorter with conventional method when compared to a robotic one [68] indicates the need of substantial improvements in robotic microsurgery before its use in surgical practice or training could be approved. Incorporation of various microvascular anastomotic devices such as Precise (3M, St. Paul, MN) for end-to-end anastomosis and Elana (Elana bv, Utrecht, Netherlands) for end-to-side anastomosis would result in decrease of the anastomosis time and could advance the field.

During microsurgical procedures, the operator is visually immersed in the operative environment with a microscope thorough the eyepieces; therefore this type of surgery is well suited for developing virtual reality simulation technologies [69]. Stanford University has developed a system that consists of a graphical workstation connected to a stereoscopic display. Real microsurgical instruments, to which motion sensors are connected, are used as input devices. Traceable tools allow the user to perform microanastomoses, and the system evaluates the effectiveness of the surgeon based on a set of objective variables [70]. Further research is necessary in this area to assess the role of virtual reality in surgical education, especially for the manual skill development. However, with the rapid advances in the three-dimensional visualization and tactile feedback sensors, there is a high likelihood that such simulators would play an increasing role in surgical learning of microanastomosis techniques.

8. Conclusions

In this article, we reviewed several models for the study and training of vascular microsurgery. Although very few of these models have been validated, such become an increasingly important component of surgical education. Additionally, evaluation of microsurgical skills is becoming an important part of the current evaluation of the trainee’s competence in a training program. At more advanced levels, simulation models can be utilized to assess the level of competence of surgeons within the recertification process. It is important that such evaluation be based on validated models.

Modern technologies provide highly accurate and extremely realistic learning environments. Microsurgery, over the past decades, has made significant progress in the field of materials, technologies, and the scope of reconstructive methods. However, efforts are yet to be made to establish appropriate tools and models for training and assessment of competence. Evidence of reliability and validity must be obtained before models can be included in training and accreditation programs. The ideal model should be one that can combine being highly relevant and meaningful, having high constructive and predictive validity, and being economically efficient. Implementation of validated realistic training models and modern objective assessment tools will further advance the microsurgical training.

Conflicts of Interest

There are no conflicts of interest regarding this paper.


  1. P. Jabbour and N. Chalouhi, “Simulation-based neurosurgical training for the presigmoid approach with a physical model,” Neurosurgery, vol. 73, no. 4, pp. S81–S84, 2013. View at Publisher · View at Google Scholar · View at Scopus
  2. R. L. Grubb, W. J. Powers, W. R. Clarke, T. O. Videen, H. P. Adams, and C. P. Derdeyn, “Surgical results of the Carotid Occlusion Surgery Study,” Journal of Neurosurgery, vol. 118, no. 1, pp. 25–33, 2013. View at Publisher · View at Google Scholar
  3. W.-Y. Chan, P. Matteucci, and S. J. Southern, “Validation of microsurgical models in microsurgery training and competence: A review,” Microsurgery, vol. 27, no. 5, pp. 494–499, 2007. View at Publisher · View at Google Scholar · View at Scopus
  4. J. Regelsberger, O. Heese, P. Horn et al., “Training Microneurosurgery – Four Years Experiences with an in vivo Model,” Central European Neurosurgery, vol. 72, no. 04, pp. 192–195, 2011. View at Publisher · View at Google Scholar
  5. S. A. Meier, A. Lang, and G. M. Beer, “Training von Mikrogefässanastomosen an Polyurethangefässen zur Reduktion von Tierversuchen,” in ALTEX 21.3/04, vol. 135, 2004. View at Google Scholar
  6. M. M. Guler and G. S. Rao, “Canniesburn 'ever-ready' model to practise microsurgery,” British Journal of Plastic Surgery, vol. 43, no. 3, pp. 381-382, 1990. View at Publisher · View at Google Scholar · View at Scopus
  7. B. J. Bates, S. M. Wimalawansa, B. Monson, M. C. Rymer, R. Shapiro, and R. M. Johnson, “A simple cost-effective method of microsurgical simulation training: The turkey wing model,” Journal of Reconstructive Microsurgery, vol. 29, no. 9, pp. 615–618, 2013. View at Publisher · View at Google Scholar · View at Scopus
  8. S. Shurey, Y. Akelina, J. Legagneux, G. Malzone, L. Jiga, and A. M. Ghanem, “The rat model in microsurgery education: Classical exercises and new horizons,” Archives of Plastic Surgery, vol. 41, no. 3, pp. 201–208, 2014. View at Publisher · View at Google Scholar · View at Scopus
  9. E. Belykh, T. Lei, S. Safavi-Abbasi et al., “Low-flow and high-flow neurosurgical bypass and anastomosis training models using human and bovine placental vessels: A histological analysis and validation study,” Journal of Neurosurgery, vol. 125, no. 4, pp. 915–928, 2016. View at Publisher · View at Google Scholar · View at Scopus
  10. E. Aboud, O. Al-Mefty, and M. G. Yaşargil, “New laboratory model for neurosurgical training that simulates live surgery,” Journal of Neurosurgery, vol. 97, no. 6, pp. 1367–1372, 2002. View at Publisher · View at Google Scholar · View at Scopus
  11. A. T. Tellioglu, E. Eker, K. Cimen, A. Comert, G. Karaeminogullari, and I. Tekdemir, “Training Model for Microvascular Anastomosis,” The Journal of Craniofacial Surgery, vol. 20, no. 1, pp. 238-239, 2009. View at Publisher · View at Google Scholar
  12. T. Alrasheed, J. Liu, M. M. Hanasono, C. E. Butler, and J. C. Selber, “Robotic microsurgery: Validating an assessment tool and plotting the learning curve,” Plastic and Reconstructive Surgery, vol. 134, no. 4, pp. 794–803, 2014. View at Publisher · View at Google Scholar · View at Scopus
  13. J. A. Martin, G. Regehr, R. Reznick et al., “Objective structured assessment of technical skill (OSATS) for surgical residents,” British Journal of Surgery, vol. 84, no. 2, pp. 273–278, 1997. View at Publisher · View at Google Scholar · View at Scopus
  14. E. D. Grober, S. J. Hamstra, R. K. Reznick, E. D. Matsumoto, R. S. Sidhu, and K. A. Jarvi, “Validation of novel and objective measures of microsurgical skill: Hand-motion analysis and stereoscopic visual acuity,” Microsurgery, vol. 23, no. 4, pp. 317–322, 2003. View at Publisher · View at Google Scholar · View at Scopus
  15. C.-A. E. Moulton, A. Dubrowski, H. MacRae, B. Graham, E. Grober, and R. Reznick, “Teaching surgical skills: What kind of practice makes perfect? A randomized, controlled trial,” Annals of Surgery, vol. 244, no. 3, pp. 400–407, 2006. View at Publisher · View at Google Scholar · View at Scopus
  16. W. Y. Chan, N. Niranjan, and V. Ramakrishnan, “Structured assessment of microsurgery skills in the clinical setting,” Journal of Plastic, Reconstructive & Aesthetic Surgery, vol. 63, no. 8, pp. 1329–1334, 2010. View at Google Scholar
  17. C. L. F. Temple and D. C. Ross, “A new, validated instrument to evaluate competency in microsurgery: The University of Western Ontario microsurgical skills acquisition/assessment instrument,” Plastic and Reconstructive Surgery, vol. 127, no. 1, pp. 215–222, 2011. View at Publisher · View at Google Scholar · View at Scopus
  18. A. Ghanem, A. E. Kim, M. Singh, and S. Myers, “Trauma'12 Winning Abstract - End Product Assessment in Microsurgery Simulation Training - A New Insider View,” Annals of Medicine and Surgery, vol. 2, no. 1, p. 36, 2013. View at Publisher · View at Google Scholar · View at Scopus
  19. T. Satterwhite, J. Son, J. Carey et al., “The stanford microsurgery and resident training (SMaRT) scale: Validation of an on-line global rating scale for technical assessment,” Annals of Plastic Surgery, vol. 72, no. 1, pp. S84–S88, 2014. View at Publisher · View at Google Scholar · View at Scopus
  20. S. G. Aoun, T. Y. El Ahmadieh, N. E. El Tecle et al., “A pilot study to assess the construct and face validity of the Northwestern Objective Microanastomosis Assessment Tool,” Journal of Neurosurgery, vol. 123, no. 1, pp. 103–109, 2015. View at Publisher · View at Google Scholar · View at Scopus
  21. K. Harada, A. Morita, Y. Minakawa et al., “Assessing Microneurosurgical Skill with Medico-Engineering Technology,” World Neurosurgery, vol. 84, no. 4, pp. 964–971, 2015. View at Publisher · View at Google Scholar · View at Scopus
  22. A. M. Ghanem, Y. Al Omran, B. Shatta, E. Kim, and S. Myers, “Anastomosis Lapse Index (ALI): A Validated End Product Assessment Tool for Simulation Microsurgery Training,” Journal of Reconstructive Microsurgery, vol. 32, no. 3, pp. 233–241, 2016. View at Publisher · View at Google Scholar · View at Scopus
  23. E. Belykh, E. J. Miller, T. Lei et al., “Face, Content, and Construct Validity of an Aneurysm Clipping Model Using Human Placenta,” World Neurosurgery, vol. 105, pp. 952–960, 2017. View at Publisher · View at Google Scholar · View at Scopus
  24. “The Battle of Ligatures,” in The Lancet, vol. 15, 889 pages, London, UK, 1877.
  25. Shumacker Jr. and B. Harris, “Authority, research and publication. Reflections based upon some historical aspects of vascular surgery,” Annals of Surgery, vol. 168, no. 2, pp. 169–182, 1968. View at Publisher · View at Google Scholar · View at Scopus
  26. N. V. Eck, “On the question of ligature of the portal vein,” Voenno Med J, vol. 130, pp. 1-2, 1877. View at Google Scholar
  27. A. Jassinowski, “Die Arteriennhat: Eine experimentelle Studie,” Inaug Diss Dorpat, 1889. View at Google Scholar
  28. A. Carrel, “La technique operatoire des anastomoses vasculaires et la transplantation des visceres,” Lyon méd, vol. 98, no. 859, 1902. View at Google Scholar
  29. E. Hopfner, “Uber Gefassnhaht, Gefasstransplantationen und Replantation von amputierten Extremitaten,” Arch Klin Chir, vol. 70, pp. 417–471, 1903. View at Google Scholar
  30. A. F. Charles and D. A. Scott, “Studies on heparin I. The preparation of heparin,” Journal of Biological Chemistry, vol. 102, no. 2, pp. 425–429, 1933. View at Google Scholar
  31. J. McLean, “The discovery of heparin,” Circulation, vol. 19, no. 1, pp. 75–78, 1959. View at Publisher · View at Google Scholar · View at Scopus
  32. C. O. Nylean, “The microscope in aural surgery, its first use and later development,” Acta Oto-Laryngologica, vol. 43, no. 116, pp. 226–240, 1954. View at Publisher · View at Google Scholar · View at Scopus
  33. V. A. Byvaltsev, “Operating microscope for vertebrologic and cranial operations: from monocular to 3-D imaging,” Sib. med. Zhurn, vol. 8, 2015. View at Google Scholar
  34. T. Kurze, “Microtechniques in Neurological Surgery,” Clinical neurosurgery, vol. 11, pp. 128–137, 1963. View at Publisher · View at Google Scholar
  35. J. H. Jacobson and E. L. Suarez, “Microsurgery in anastomosis of small vessels,” Surgical forum, vol. 11, 1960. View at Google Scholar
  36. J. H. Jacobson, L. J. Wallman, G. A. Schumacher, M. Flanagan, E. L. Suarez, and R. M. Peardon Donaghy, “Microsurgery as an Aid to Middle Cerebral Artery Endarterectomy,” Journal of Neurosurgery, vol. 19, no. 2, pp. 108–115, 1962. View at Publisher · View at Google Scholar
  37. D. G. Potts, “Aneurysms and arteriovenous anomalies of the brain: diagnosis and treatment,” Hoeber Medical Division: Harper & Row, 1965. View at Google Scholar
  38. R. M. Donaghy, “The history of microsurgery in neurosurgery,” Clinical Neurosurgery, vol. 26, pp. 619–625, 1979. View at Publisher · View at Google Scholar · View at Scopus
  39. T. M. Sundt Jr., J. P. Whisnant, D. G. Piepgras, J. K. Campbell, and C. B. Holman, “Intracranial bypass grafts for vertebral-basilar ischemia,” Mayo Clinic Proceedings, vol. 53, no. 1, pp. 12–18, 1978. View at Google Scholar · View at Scopus
  40. C. F. Miller, R. F. Spetzler, and D. J. Kopaniky, “Middle meningeal to middle cerebral arterial bypass for cerebral revascularization. Case report,” Journal of Neurosurgery, vol. 50, no. 6, pp. 802–804, 1979. View at Publisher · View at Google Scholar · View at Scopus
  41. R. K. Reznick, “Teaching and testing technical skills,” The American Journal of Surgery, vol. 165, no. 3, pp. 358–361, 1993. View at Publisher · View at Google Scholar · View at Scopus
  42. N. Matsumura, N. Hayashi, H. Kamiyama et al., “Microvascular anastomosis at 30-50 magnifications (super-microvascular anastomosis) in neurosurgery,” Surgical Neurology International, vol. 2, no. 1, article no. 6, 2011. View at Publisher · View at Google Scholar · View at Scopus
  43. B. J. Kim, S. Kim, Y. Jeong, W. Lee, K. Lee, and S. Paeng, “An Efficient Microvascular Anastomosis Training Model Based on Chicken Wings and Simple Instruments,” Journal of Cerebrovascular and Endovascular Neurosurgery, vol. 15, no. 1, pp. 20–25, 2013. View at Publisher · View at Google Scholar
  44. H. Tehrani, J. McPhail, and K. Graham, “A simple training model for microvascular repair,” Journal of Plastic, Reconstructive & Aesthetic Surgery, vol. 63, no. 6, article 1063, 2010. View at Publisher · View at Google Scholar · View at Scopus
  45. T. Mutoh, T. Ishikawa, H. Ono, and N. Yasui, “A new polyvinyl alcohol hydrogel vascular model (KEZLEX) for microvascular anastomosis training,” Surgical Neurology International, vol. 1, no. 74, 2010. View at Publisher · View at Google Scholar
  46. T. Ishikawa, N. Yasui, and H. Ono, “Novel brain model for training of deep microvascular anastomosis,” Neurologia medico-chirurgica, vol. 50, no. 8, pp. 627–629, 2010. View at Publisher · View at Google Scholar · View at Scopus
  47. M. Takeuchi, N. Hayashi, H. Hamada, N. Matsumura, H. Nishijo, and S. Endo, “A new training method to improve deep microsurgical skills using a mannequin head,” Microsurgery, vol. 28, no. 3, pp. 168–170, 2008. View at Publisher · View at Google Scholar · View at Scopus
  48. J. K. Byeong et al., “An efficient microvascular anastomosis training model based on chicken wings and simple instruments,” Journal of cerebrovascular and endovascular neurosurgery, vol. 15, no. 1, pp. 20–25, 2013. View at Google Scholar
  49. H. Schoffl et al., “Strategies for the reduction of live animal use in microsurgical training and education,” ATLA-Alternatives to Laboratory Animals, vol. 36, no. 2, article 153, 2008. View at Google Scholar
  50. P. A. S. Kadri, A. F. Krisht, and G. K. Gandhi, “An anatomic mathematical measurement to find an adequate recipient M4 branch for superficial temporal artery to middle cerebral artery bypass surgery,” Operative Neurosurgery, vol. 61, no. 3, pp. S-74–S-78, 2007. View at Publisher · View at Google Scholar · View at Scopus
  51. A. A. Abla, T. Uschold, M. C. Preul, and J. M. Zabramski, “Comparative use of turkey and chicken wing brachial artery models for microvascular anastomosis training: Laboratory investigation,” Journal of Neurosurgery, vol. 115, no. 6, pp. 1231–1235, 2011. View at Publisher · View at Google Scholar · View at Scopus
  52. M. E. Colpan, K. V. Slavin, S. Amin-Hanjani, M. Calderon-Arnuphi, and F. T. Charbel, “Microvascular anastomosis training model based on a turkey neck with perfused arteries,” Operative Neurosurgery, vol. 62, 5, pp. ONS407–ONS411, 2008. View at Publisher · View at Google Scholar
  53. K. G. Krishnan, P. Dramm, and G. Schackert, “Simple and viable in vitro perfusion model for training microvascular anastomoses,” Microsurgery, vol. 24, no. 4, pp. 335–338, 2004. View at Publisher · View at Google Scholar · View at Scopus
  54. J. Olabe, J. Olabe, and V. Sancho, “Human cadaver brain infusion model for neurosurgical training,” World Neurosurgery, vol. 72, no. 6, pp. 700–702, 2009. View at Publisher · View at Google Scholar · View at Scopus
  55. B. Mathon, “Apprentissage des techniques microchirurgicales vasculaires sur un modèle animal,” Neurochirurgie, vol. 60, no. 5, pp. 227–233, 2014. View at Publisher · View at Google Scholar
  56. R. Sooppan, S. J. Paulsen, J. Han et al., “In vivo anastomosis and perfusion of a threedimensionally-printed construct containing microchannel networks,” Tissue Engineering Part C: Methods, vol. 22, no. 1, pp. 1–7, 2015. View at Publisher · View at Google Scholar
  57. N. Lee, R. A. Daley, and B. C. Cooley, “Rat posterior facial vein interpositional graft: A more relevant training model,” Microsurgery, vol. 34, no. 8, pp. 653–656, 2014. View at Publisher · View at Google Scholar · View at Scopus
  58. H. L. Liu, “Microvascular Anastomosis of Submillimeter Vessels—A Training Model in Rats,” Journal of Hand and Microsurgery, vol. 05, no. 1, pp. 14–17, 2013. View at Publisher · View at Google Scholar
  59. V. A. Byvaltsev, E. G. Belykh, and I. A. Stepanov, “The choice of the treatment method for cerebral aneurysms of different locations in the era of advanced endovascular technologies: A meta-analysis,” Vestnik Rossiĭskoĭ akademii meditsinskikh nauk, vol. 71, no. 1, pp. 31–40, 2016. View at Publisher · View at Google Scholar · View at Scopus
  60. N. R. Lausada, E. Escudero, R. Lamonega, E. Dreizzen, and J. C. Raimondi, “Use of cryopreserved rat arteries for microsurgical training,” Microsurgery, vol. 25, no. 6, pp. 500-501, 2005. View at Publisher · View at Google Scholar · View at Scopus
  61. J. C. Selber, E. I. Chang, J. Liu et al., “Tracking the Learning Curve in Microsurgical Skill Acquisition,” Plastic and Reconstructive Surgery, vol. 130, no. 4, pp. 550e–557e, 2012. View at Publisher · View at Google Scholar
  62. A. Mehta and P. S. Li, “Male infertility microsurgical training,” Asian Journal of Andrology, vol. 15, no. 1, pp. 61–66, 2013. View at Publisher · View at Google Scholar · View at Scopus
  63. N. Jabbour and J. Sidman, “Assessing instrument handling and operative consequences simultaneously: A simple method for creating synced multicamera videos for endosurgical or microsurgical skills assessments,” Simulation in Healthcare, vol. 6, no. 5, pp. 299–303, 2011. View at Publisher · View at Google Scholar · View at Scopus
  64. V. Datta, S. Mackay, M. Mandalia, and A. Darzi, “The use of electromagnetic motion tracking analysis to objectively measure open surgical skill in the laboratory-based model,” Journal of the American College of Surgeons, vol. 193, no. 5, pp. 479–485, 2001. View at Publisher · View at Google Scholar · View at Scopus
  65. I. Balasundaram, R. Aggarwal, and L. A. Darzi, “Development of a training curriculum for microsurgery,” British Journal of Oral and Maxillofacial Surgery, vol. 48, no. 8, pp. 598–606, 2010. View at Publisher · View at Google Scholar · View at Scopus
  66. C. G. Knight et al., “Computer-assisted, robot-enhanced open microsurgery in an animal model,” Journal of Laparoendoscopic & Advanced Surgical Techniques, vol. 15, no. 2, pp. 182–185, 2005. View at Google Scholar
  67. J. Lee, T. Mattar, T. Parisi, B. Carlsen, A. Bishop, and A. Shin, “Learning Curve of Robotic-Assisted Microvascular Anastomosis in the Rat,” Journal of Reconstructive Microsurgery, vol. 28, no. 07, pp. 451–456, 2012. View at Publisher · View at Google Scholar
  68. R. A. Li, J. Jensen, and J. C. Bowersox, “Microvascular anastomoses performed in rats using a microsurgical telemanipulator,” Computer Aided Surgery, vol. 5, no. 5, pp. 326–332, 2000. View at Google Scholar
  69. R. S. Haluck and T. M. Krummel, “Computers and virtual reality for surgical education in the 21st century,” JAMA Surgery, vol. 135, no. 7, pp. 786–792, 2000. View at Publisher · View at Google Scholar · View at Scopus
  70. K. Montgomery et al., “Virtual reality in microsurgery training,” Medicine meets virtual reality, vol. 41, 1999. View at Google Scholar