A Novel Basic Training Laboratory Model on Live Subjects for Supermicrosurgery: Mouse Femoral Artery, Vein and Nerve.
Abstract
[BACKGROUND] Increasing success rates of supermicrosurgery operations have increased the importance of developing the ideal training model for super-microsurgery. Working on the model is very important for increasing and continuing microsurgery and supermicrosurgery skills. We aimed to present a standardized, simple and easy to access live training model for supermicrosurgery.
[METHODS] The experiment was performed in the University of Health Sciences, Istanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, IDEA, Istanbul, Turkey in 2020. Twelve BALB/c male albino mice weighing 20-45 gr were used in the study. Unilateral femoral artery, vein and nerve diameters of mice were measured. Anastomosis was performed on the bilateral femoral vessels. The surgical procedure times were also recorded.
[RESULTS] The mean weight of the mice was 36.6 ± 6.09 gr, the length was 15.10 ± 1.10 cm. The mean external diameter of the femoral artery, vein and nerves were 0.31 ± 0.34 mm, 0.48 ± 0.70 mm, 0.38 ± 0.43 mm, respectively. The mean preparation time of neurovascular structures for anastomosis was 15.75 ± 1.54 min, mean femoral artery and vein anastomosis time was 24.91±1.72 and 33.16±1.74 min, respectively. Vascular patency was detected as 100% after all vascular anastomosis procedures.
[CONCLUSION] Mice femoral neurovascular structures are similar to rats in terms of basic morphology, and they are small enough for super-microsurgery education model. Dissection of mice femoral bundles are easy to perform. In terms of training models, anesthetic requirement and laboratory costs are less for mice, and handling them is much easier compared to rats; thus, making them especially suitable for basic supermicrosurgery training courses.
[METHODS] The experiment was performed in the University of Health Sciences, Istanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, IDEA, Istanbul, Turkey in 2020. Twelve BALB/c male albino mice weighing 20-45 gr were used in the study. Unilateral femoral artery, vein and nerve diameters of mice were measured. Anastomosis was performed on the bilateral femoral vessels. The surgical procedure times were also recorded.
[RESULTS] The mean weight of the mice was 36.6 ± 6.09 gr, the length was 15.10 ± 1.10 cm. The mean external diameter of the femoral artery, vein and nerves were 0.31 ± 0.34 mm, 0.48 ± 0.70 mm, 0.38 ± 0.43 mm, respectively. The mean preparation time of neurovascular structures for anastomosis was 15.75 ± 1.54 min, mean femoral artery and vein anastomosis time was 24.91±1.72 and 33.16±1.74 min, respectively. Vascular patency was detected as 100% after all vascular anastomosis procedures.
[CONCLUSION] Mice femoral neurovascular structures are similar to rats in terms of basic morphology, and they are small enough for super-microsurgery education model. Dissection of mice femoral bundles are easy to perform. In terms of training models, anesthetic requirement and laboratory costs are less for mice, and handling them is much easier compared to rats; thus, making them especially suitable for basic supermicrosurgery training courses.
추출된 의학 개체 (NER)
| 유형 | 영어 표현 | 한국어 / 풀이 | UMLS CUI | 출처 | 등장 |
|---|---|---|---|---|---|
| 시술 | microsurgery
|
미세수술 | dict | 3 | |
| 해부 | supermicrosurgery
|
scispacy | 1 | ||
| 해부 | vein
|
scispacy | 1 | ||
| 해부 | nerves
|
scispacy | 1 | ||
| 해부 | neurovascular
|
scispacy | 1 | ||
| 합병증 | supermicrosurgery
|
scispacy | 1 | ||
| 약물 | Vein
|
scispacy | 1 | ||
| 약물 | [BACKGROUND]
|
scispacy | 1 | ||
| 질환 | IDEA
|
scispacy | 1 | ||
| 기타 | Mouse Femoral Artery
|
scispacy | 1 | ||
| 기타 | BALB/c male albino mice
|
scispacy | 1 | ||
| 기타 | femoral artery
|
scispacy | 1 | ||
| 기타 | mice
|
scispacy | 1 | ||
| 기타 | bilateral femoral vessels
|
scispacy | 1 | ||
| 기타 | vein
|
scispacy | 1 | ||
| 기타 | Vascular
|
scispacy | 1 | ||
| 기타 | rats
|
scispacy | 1 | ||
| 기타 | mice femoral bundles
|
scispacy | 1 |
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