Backpropagation Neural Network Artificial Intelligence Algorithm-Based Magnetic Resonance Imaging Image Feature Analysis in the General Anesthesia Hip Arthroplasty

Yufang Li,Xiaoqing Zhang,Xin Wang,Qian Zhao,Manyun Bai,Gustavo Ramirez

doi:10.1155/2021/6892979

Yufang Li, Xiaoqing Zhang + Show 4 more

Open Access

https://doi.org/10.1155/2021/6892979

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Abstract

Objective. This study aimed to present an investigation of the clinical significance of magnetic resonance imaging (MRI) images obtained based on the backpropagation neural network (BPNN) artificial intelligence algorithm for hip arthroplasty under general anesthesia. Methods. In this study, a case-review method was used to collect 100 patients requiring total hip replacement. They were then randomly divided into an observation group and a control group. Based on the neural network algorithm, the images of the two groups of patients were analyzed to judge their accuracy. Then the sensitivity, specificity, and accuracy of MRI images based on neural algorithms were compared with those processed by radiologists. Results. It was found that MRI processed by BP neural network had good accuracy in the diagnosis of hip joint diseases compared with CT. Meanwhile, the images processed by BP neural network had good specificity and accuracy compared with the images processed by radiologists. Conclusion. Imaging images obtained by BPNN artificial intelligence algorithm were more accurate than CT images, which had more guiding value for surgeons in operation.

Highlights

Hip arthroplasty is one type of artificial joint replacement. e indications for hip arthroplasty are mainly osteoarthritis, aseptic necrosis of the bone, certain hip fractures, rheumatoid arthritis, traumatic arthritis, benign and malignant bone tumors, ankylosing spondylitis, etc. [1]
Clinical data have suggested that Magnetic resonance imaging (MRI) can reflect the early necrosis of the femoral head, which has a great role in the preoperative diagnosis of hip arthroplasty [12]
Research Objects. 100 cases were selected as the research objects in this study, who were admitted to hospital during January 2018–January 2020, were diagnosed with femoral aseptic necrosis, some hip fracture, rheumatoid arthritis, traumatic arthritis, benign and malignant bone tumors, and ankylosing spondylitis, and required hip arthroplasty therapy. en, they were grouped randomly into the control group and the observation group, with 50 cases in each. e general information and other conditions of patients from the two groups were compared and analyzed, and the difference was not statistically obvious (P > 0.05). is study was approved by the ethics committee of the hospital, and all the patients included in the study signed the informed consent forms

Summary

Introduction

Hip arthroplasty is one type of artificial joint replacement. e indications for hip arthroplasty are mainly osteoarthritis, aseptic necrosis of the bone, certain hip fractures, rheumatoid arthritis, traumatic arthritis, benign and malignant bone tumors, ankylosing spondylitis, etc. [1]. Hip arthroplasty is one type of artificial joint replacement. E main purpose of an artificial joint replacement is to relieve joint pain, correct deformity, and restore and improve joint motor function [5, 6]. Magnetic resonance imaging (MRI) has been applied in the imaging diagnosis of various systems in the whole body, and the best results are the brain, spinal cord, cardiac vessels, joint bones, soft tissue, and pelvic cavity [9]. Clinical data have suggested that MRI can reflect the early necrosis of the femoral head, which has a great role in the preoperative diagnosis of hip arthroplasty [12].

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Conclusion