Abstract
This study was aimed to evaluate the therapeutic effect of acupoint application therapy on specific edema by using denoising convolutional neural network (DnCNN) ultrasound images. 144 patients with idiopathic edema were selected as the research objects, and they were randomly divided into the conventional treatment group and the acupoint application group. Traditional Chinese medicine (TCM) symptom score, quality-of-life score, and adverse reactions were compared between the two groups before and after treatment. Ultrasound images based on the deep learning algorithm were used to evaluate the efficacy. The results showed that compared with conventional ultrasound, ultrasound based on DnCNN was more accurate in the diagnosis of idiopathic edema. The total effective rate of edema treatment in the acupoint application group was higher than that in the conventional treatment group (45% vs 93%, P < 0.01 ). After treatment, the scores of TCM symptoms in the acupoint application group were lower than those in the conventional treatment group, and the quality-of-life score in the acupoint application group was higher than that in the conventional treatment group P < 0.05 . There was no significant difference in the incidence of adverse reactions between the two groups P > 0.05 . In summary, ultrasound-assisted examination based on the algorithm is accurate in the diagnosis of idiopathic edema. Acupoint application therapy has a significant effect on idiopathic edema and does not increase the incidence of adverse reactions, which has a guiding role in clinical treatment.
Highlights
Idiopathic edema, a water-salt metabolic disorder syndrome, can be divided into cardiac, renal, hepatic, and malnutrition, which belongs to one of the edema diseases [1,2,3]
According to the digital table method, 144 patients with idiopathic edema were randomly divided into the control group and the acupoint application group, with 72 cases in each group. e control group was treated with conventional western medicine, and the acupoint application group was treated with acupoint application of Traditional Chinese medicine (TCM). e effective rate, syndrome score, and adverse reactions of the two groups were compared before and after treatment, and the treatment effect was evaluated by ultrasound image based on improved denoising convolutional neural network (DnCNN) algorithm. is study was approved by the ethics committee of Beijing Luhe Hospital Affiliated to Capital Medical University (No 2021-LHKY-001-02)
When the noise level was 25, the processing effect of the overall improved DnCNN algorithm was compared with that of the DnCNN algorithm. e peak signal-to-noise ratio values of the images processed by the former were higher than those of the images processed by the latter (P < 0.05)
Summary
Idiopathic edema, a water-salt metabolic disorder syndrome, can be divided into cardiac, renal, hepatic, and malnutrition, which belongs to one of the edema diseases [1,2,3]. Through the continuous clinical trials of experts, acupoint application has been tried to be applied to the treatment of edema diseases and has achieved a good therapeutic effect [9,10,11]. In terms of disease examination, the commonly used clinical examination method is imaging, in which ultrasonic imaging examination is widely used for clinical disease diagnosis with the characteristic pathological diagnosis information in the image [12]. Speckle noise and pseudotexture in ultrasonic images cause serious visual interference, especially speckle noise, which conceals the feature information of the image. Speckle noise is a deterministic interference phenomenon inherent in the coherent imaging system [13], which will reduce the signalto-noise ratio of the image and make the image blurred and the image characteristics disappear when it is serious, causing difficulties for subsequent image processing
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