Microsurgical training: vascular control and intraoperative vessel rupture in the human placenta infusion model

Gomar-Alba, Mario; Carreño, Tesifón Parrón; Narro-Donate, José María; Vargas-López, Antonio José; Castelló-Ruiz, María José; García-Pérez, Fernando; Guil-Ibáñez, José Javier; Masegosa-González, José

doi:10.1007/s00701-021-04905-0

Cited by 15 publications

(2 citation statements)

References 18 publications

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“…The human placenta is a well-established simulation model in microsurgical training, allowing authentic tissue handling in important microsurgical tasks, such as blunt dissection and anastomosis [ 3 , 4 ]. The placenta comprises various structures, such as superficial and deep blood vessels, membranes, and stroma.…”

Section: Objectivementioning

confidence: 99%

Hyperspectral placenta dataset: Hyperspectral image acquisition, annotations, and processing of biological tissues in microsurgical training

Puustinen,

Hyttinen,

Elomaa

et al. 2023

Data in Brief

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Section: Objectivementioning

confidence: 99%

Hyperspectral placenta dataset: Hyperspectral image acquisition, annotations, and processing of biological tissues in microsurgical training

Puustinen,

Hyttinen,

Elomaa

et al. 2023

Data in Brief

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“…Stereomicroscopes serve as effective replicates of surgical microscopes and can be incorporated in a microsurgical training laboratory at a cost of less than $500 [2]. In designing surgical specimens, the use of 3D printing [3] and human placenta [4] have been suggested and are designed to replicate microvascular anastomoses in neurosurgery. However, these simulators require more formalized infrastructure to be in place and are likely inaccessible for individuals in resource-depleted areas.…”

Section: Introductionmentioning

confidence: 99%

The LazyBox Educational Intervention Trial: Can Longitudinal Practice on a Low-Fidelity Microsurgery Simulator Improve Microsurgical Skills?

Jensen,

Bhandarkar,

Bauman

et al. 2023

Cureus

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IntroductionEvery surgical trainee must acquire microsurgical skills within a limited timeframe. Therefore, identifying effective educational strategies to help learners attain these skills is crucial. ObjectiveEstablish the effectiveness of a low-fidelity microsurgery simulator to improve the execution and one's perception of the difficulty of basic surgical techniques. MethodsFrom 2021 to 2022, 24 medical students were randomized to either (1) a treatment group (n=12) that engaged in longitudinal practice on a low-fidelity microsurgery simulator (the LazyBox) or (2) a control group (n=12) that did not practice. Students performed vessel loop ligation, catheter macroanastomosis, and synthetic vessel microanastomosis prior to and six weeks after intervention. Both objective metrics and subjective metrics (Swedish Occupational Fatigue Inventory (SOFI) and Surgery Task Load Index (SURG-TLX)) were obtained. ResultsThe treatment and control arms had 1.2 (SD = 2.6) and 2.1 (SD = 2.4) points increase in the vessel loop ligation, respectively (p = 0.39). The treatment and control arms had a 3.4 (SD = 4.1) and 2.9 (SD = 3.6) points increase in the macroanastomosis task, respectively (p = 0.74). In the synthetic vessel microanastomosis task training, the experimental and control arms showed a 5.4 (SD = 8.3) and a 2.9 (SD = 5.6) points increase, respectively (p = 0.30). No differences were found between the groups regarding survey metrics of mental (p = 0.82), temporal (p = 0.23), and physical demands (p = 0.48). ConclusionIn our randomized educational intervention, we found no significant difference in objective and subjective metrics of microsurgical task performance between learners who did and did not use the LazyBox simulator.

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Mixed Reality and Metaverse

Nicolosi,

de Laurentis,

Giussani

et al. 2024

Ethical Challenges for the Future of Neurosurgery

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Microsurgical training: vascular control and intraoperative vessel rupture in the human placenta infusion model

Cited by 15 publications

References 18 publications

Hyperspectral placenta dataset: Hyperspectral image acquisition, annotations, and processing of biological tissues in microsurgical training

Hyperspectral placenta dataset: Hyperspectral image acquisition, annotations, and processing of biological tissues in microsurgical training

The LazyBox Educational Intervention Trial: Can Longitudinal Practice on a Low-Fidelity Microsurgery Simulator Improve Microsurgical Skills?

Mixed Reality and Metaverse

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