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Objective: To explore a method to improve the identification rate of tissue degeneration caused by high intensity focused ultrasound (HIFU) based on ultrasound combining with generalized regression neural network (GRNN). Methods: Totally 300 fresh isolated pork tissue samples were selected and irradiated at different HIFU doses, then 150 denatured and 150 undenatured samples were obtained. Ultrasonic images of the samples were collected before and after irradiation, then ultrasonic subtraction images were obtained. A total of 18 characteristic parameters of ultrasonic subtractive images were extracted using gray-gradient co-occurrence matrix and gray difference statistical methods, and the best characteristic vectors were obtained with P-value significance detection method and Euclidean distance method. Among 300 samples, 198 were taken as training samples and 102 as test samples. After recognition of training samples, the feature vectors eliminated with P-value significance detection method and 2 feature vectors with the smallest Euclidean distance were taken as control group of the best feature vectors, and then were input into GRNN respectively for recognition of tissue denaturation. Correct recognition rate and total recognition rate of test samples were calculated using combining feature vectors with GRNN. Results: The best feature vectors were non-uniformity of gray distribution and non-uniformity of gradient distribution, and the total recognition rate was 90.20% and 91.18% combining with GRNN, respectively, which increased to 98.04% when both 2 best characteristic parameters combined GRNN. The feature vectors eliminated using P-value significance detection method were average value and contrast, and the total recognition rate combining with GRNN was 48.04% and 75.49%, respectively, which became 79.41% when both 2 best characteristic parameters combined GRNN. The feature vectors with the smallest euclide distance were energy and small gradient, and the total recognition rate combining with GRNN was 88.24% and 89.22%, respectively, which remained 89.22% when both 2 of them combined with GRNN. The recognition rate of the optimal feature vectors combined with GRNN for tissue denaturation was significantly higher than that of control group. Conclusion: Based on ultrasonic subtraction images, of pork tissue irradiated with HIFU, non-uniformity of gray distribution and non-uniformity of gradient distribution combined with GRNN can both improve the recognition rate of tissue denaturation, while the combination of them and GRNN is more effective in identifying tissue denaturation induced by HIFU.
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OBJECTIVE@#To explore the changes of collagen fibrosis in the vulva skin of SD rats with lichen simplex chronicus (LSC) after focused ultrasound therapy and explore the mechanism by which focused ultrasound reduces the recurrence of vulvar LSC.@*METHODS@#Fifty female SD rat models of vulvar LSC were established and randomly divided into the treatment group and the control group (=25) for treatment with focused ultrasound and sham treatment, respectively. Before and after the treatment, vulvar skin tissues were sampled to observe the pathological changes with HE staining and assess the density of collagen fibers using Masson staining. The ultrastructure of the collagen fibers in the superficial dermis was observed using transmission electron microscopy. The expressions of notch1 and c-fos in the vulvar tissue were detected by immunohistochemistry and Western blotting.@*RESULTS@#After 4 weeks of focused ultrasound therapy, 16% (4/25) of the rats in the treatment group showed lesion progression to LSIL, 4% (1/25) still had LSC, and 80% (20/25) showed normal vulvar skin. In the control group, progression to LSIL occurred in 19 (76%) rats, 3 (12%) rats still showed LSC, and only 3 (12%) had normal vulvar skin. The difference in the cure rate differed significantly between the two groups ( < 0.05). The density of collagen fibers in the superficial dermis and the expressions of notch1 and c-fos in the vulvar skin were significantly lower in the treatment group than in the control group ( < 0.05).@*CONCLUSIONS@#Focused ultrasound therapy can inhibit superficial collagen fibrosis of the dermis by lowering the expressions of notch1 and c-fos in the vulvar skin to reduce the recurrence of vulvar LSC in rats.
Subject(s)
Animals , Female , Rats , Neurodermatitis , Rats, Sprague-Dawley , Recurrence , Vulvar DiseasesABSTRACT
Objective: To explore the impact of focused ultrasound on expression of hypoxia inducible factor-1α (HIF-1α),vascular endothelial growth factor (VEGF) and mutant type p53 (mtp53) in vulvar skin of rat models with low grade squamous intraepithelial lesion (LSIL). Methods: A total of 28 rat models with LSIL were established and randomly divided into treatment group and control group (each n=14). The rat models in treatment group were treated with focused ultrasound, while in control group only received sham irradiation (no power output from ultrasonic therapeutic instrument). Histological changes of vulvar skin in SD rats were observed 4 weeks later. The expression of HIF-1α, VEGF and mtp53 protein were detected using immunohistochemistry. Results: After 4 weeks of focused ultrasound irradiation/sham irradiation, there were 92.86% (13/14) rats return to normal in treatment group and 71.43% (10/14) rats progressed into high grade squamous intraepithelial lesion (HSIL) in control group. Compared with control group, HIF-1α, VEGF and mtp53 protein levels significantly decreased in treatment group (all P<0.05). Conclusion: Focused ultrasound treatment can improve the microenvironment of local vulvar tissue by decreasing the expression of HIF-1α, VEGF and mtp53 in vulvar skin, therefore can be used to treat LSIL safely and effectively in rat models.
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Photoelectric and ultrasonic technology rapid development has brought more choices for facial rejuvenation, but its prosperous clinical application forms a sharp contrast with its weak theoretical based research. Moreover, there is still no consensus on how to standardize the short-term and long-term effects of skin rejuvenation for different energy sources. This paper summarizes the application and progress of photoelectric and ultrasonic technology in facial rejuvenation in recent years, with emphasis on its characteristics and combination with other non-surgical treatments. Combining a variety of non-surgical treatments to maximize efficacy and balance the related risks is the direction of future development.