| Literature DB >> 35592220 |
Maryam Iranpour1, Ali Khodarahmi2, Maryam Beigi3, Omid Azari4, Soraya Shahrokh Shahraki5.
Abstract
BACKGROUND: A suitable pharmacological substitute for the well-established surgical delay technique for axial skin flaps regarding increasing viability is elusive. We aimed to evaluate the effects of botulinum toxin type A (BTA) on the axial skin flap survival in a rat model.Entities:
Keywords: Axial; Botulinum toxin type A; Necrosis; Rat; Skin flap; Survival
Year: 2022 PMID: 35592220 PMCID: PMC9018031 DOI: 10.52547/wjps.11.1.30
Source DB: PubMed Journal: World J Plast Surg ISSN: 2228-7914
Fig. 1Flap photography on the 14th day after flap harvest
Fig. 2H&E staining (×400) for angiogenesis on 14th day postinjection (mild, moderate, severe)
Fig. 4CD34 IHC staining (×400) for angiogenesis on 14th day postinjection (mild, moderate, severe)
Mean, standard deviation, minimum and maximum of the total surface area, viable surface area and survived percentage of flap in all groups of study at 14th day
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| |
|---|---|---|---|---|
|
| Number | 15 | 15 | 15 |
| Mean | 16.0999 | 11.5934 | 71.3856 | |
| Stand. Deviation | 5.27825 | 5.01271 | 15.69726 | |
| Minimum | 9.27 | 5.03 | 38.71 | |
| Maximum | 26.98 | 20.58 | 96.33 | |
|
| Number | 15 | 15 | 15 |
| Mean | 18.6918 | 13.8915 | 73.1941 | |
| Stand. Deviation | 3.96590 | 5.58414 | 21.03516 | |
| Minimum | 12.23 | 5.00 | 40.19 | |
| Maximum | 25.94 | 25.84 | 99.61 | |
|
| Number | 15 | 15 | 15 |
| Mean | 18.3025 | 10.5994 | 59.0143 | |
| Stand. Deviation | 2.97194 | 4.58118 | 23.65352 | |
| Minimum | 11.86 | 2.01 | 8.89 | |
| Maximum | 22.61 | 18.42 | 83.54 | |
|
| Number | 45 | 45 | 45 |
| Mean | 17.6981 | 12.0281 | 67.8647 | |
| Stand. Deviation | 4.24396 | 5.15155 | 20.92417 | |
| Minimum | 9.27 | 2.01 | 8.89 | |
| Maximum | 26.98 | 25.84 | 99.61 | |
Compression of the survival area as well as survival percentage of flap among three groups by ANOVA statistical test
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|---|---|---|---|---|---|---|
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| Between groups | 58.604 | 2 | 29.302 | 1.677 | 0.199 |
| Within groups | 733.889 | 42 | 17.474 | |||
| total | 792.494 | 44 | ||||
|
| Between groups | 85.535 | 2 | 42.767 | 1.660 | 0.202 |
| Within groups | 1082.159 | 42 | 25.766 | |||
| total | 1167.694 | 44 | ||||
|
| Between groups | 1786.922 | 2 | 893.461 | 2.147 | 0.129 |
| Within groups | 17477.193 | 42 | 416.124 | |||
| total | 19264.115 | 44 | ||||
Degree of angiogenesis on the 14th day of study
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| |
|---|---|---|---|---|---|
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| Mild | 5 | 33.3 | 33.3 | 33.3 |
| Moderate | 8 | 53.3 | 53.3 | 86.7 | |
| Severe | 2 | 13.3 | 13.3 | 100.0 | |
| Total | 15 | 100.0 | 100.0 | ||
|
| Without angiogenesis | 8 | 53.3 | 53.3 | 53.3 |
| Mild | 7 | 46.7 | 46.7 | 100.0 | |
| Total | 15 | 100.0 | 100.0 | ||
|
| Mild | 5 | 33.3 | 33.3 | 33.3 |
| Moderate | 10 | 66.7 | 66.7 | 100.0 | |
| Total | 15 | 100.0 | 100.0 | ||
Mean of angiogenesis in groups
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|
|
| |
|---|---|---|---|
|
| Botulinum | 15 | 30.00 |
| Normal Saline | 15 | 10.33 | |
| Control | 15 | 28.67 | |
| Total | 45 | ||
Compression of angiogenesis among groups by Kruskal-Wallis test
| Variable | Angiogenesis |
|---|---|
| Chi-square | 23.956 |
| Df | 2 |
| Asymp. Sig. | 0.000 |