Computed Tomography Image Segmentation Algorithm to Detect the Curative Effect of Radial Shock Wave Therapy for Knee Osteoarthritis.

Jinghai Tian,Guoyong Chen,Guotang Lan,Fuhong Peng,Enas Abdulhay

doi:10.1155/2021/7098924

Abstract

The aim of this study was to investigate the values of computed tomography (CT) imaging technology based on image segmentation algorithm (ISA). It was applied in the radial shock wave therapy (RSWT) to treat knee osteoarthritis (KOA), so its curative effect and rehabilitation effect on nerve function were mainly analyzed in this study. 84 patients with KOA were selected and grouped into an ultrasonic treatment group (group A) and a RSW group (group B). All the patients received the ISA-based CT examination and high-quality nursing intervention. There were comparisons on the effects of pain improvement, knee joint function, and nerve function rehabilitation of patients in groups A and B. Results showed that visual analogue scale (VAS) scores before and after treatment were markedly different among all patients, and the pain degree of patients in group B was lower than the degree of group A (P < 0.05). The knee joint function of group B after treatment was greatly better than group A (P < 0.05). Scandinavian stroke scale (SSS) scores of nerve function rehabilitation after nursing in patients from group B were sharply lower than the scores of group A (P < 0.05). Results indicated that ISA-based CT images could be applied in analysis of curative effect on KOA, and there was more obvious effect of RSWT in the treatment of KOA.

Highlights

knee osteoarthritis (KOA) is a relatively common type of chronic osteoarthritis, which accounts for about 6% of all osteoarthritis [1]. e incidence of KOA is related to age; namely, the higher the age, the higher the incidence of KOA [2]
image segmentation algorithm (ISA) was applied to improve and optimize the segmentation effect of medical images, and the results showed that the morphology + Graph Cuts algorithm had the best segmentation effect on computed tomography (CT) images in contrast to the threshold + Graph Cuts algorithm and traditional Graph Cuts algorithm. is was consistent with the research results of Wu et al [13], indicating that the CT segmentation method based on ISA could promote the segmentation accuracy of
Lizis et al [16] pointed out that the WOMAC and ROM scores of KOA patients treated with radial shock wave therapy (RSWT) were superior to those of KOA patients treated with kinesitherapy (KIN) by comparing the influences of RSWT and KIN for KOA patients. e research findings of Zhong et al [17] reflected that visual analogue scale (VAS), WOMAC, and Lequesne index scores of KOA patients with RSWT were extremely better than those of KOA patients with placebo at the 5th and 12th week (P < 0.05)

Summary

Introduction

KOA is a relatively common type of chronic osteoarthritis, which accounts for about 6% of all osteoarthritis [1]. e incidence of KOA is related to age; namely, the higher the age, the higher the incidence of KOA [2]. KOA is a relatively common type of chronic osteoarthritis, which accounts for about 6% of all osteoarthritis [1]. RSWT is a common treatment for bone diseases [4]. RSWT is very effective in relieving pain and treating bone diseases such as supracondylar, calcified tendonitis, and plantar fasciitis [5, 6]. RSWT is a noninvasive treatment with minimal trauma and relatively few complications for patients, which does not require hospitalization. The economic pressure on patients is greatly reduced, so it is widely applied in clinical treatment. Erefore, as a treatment method with little trauma and side effects, RSWT has a very critical clinical significance in the treatment of KOA The economic pressure on patients is greatly reduced, so it is widely applied in clinical treatment. erefore, as a treatment method with little trauma and side effects, RSWT has a very critical clinical significance in the treatment of KOA

Methods

Results

Discussion

Conclusion