Total knee arthroplasty prosthesis model prediction method

A technology of total knee joint replacement and prediction method, applied in neural learning methods, biological neural network models, instruments, etc., to achieve the effect of low cost

Active Publication Date: 2020-02-11
PEKING UNIV +1
View PDF6 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem that the existing prosthesis selection relies too much on the doctor's personal experience, the purpose of the pre

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Total knee arthroplasty prosthesis model prediction method
  • Total knee arthroplasty prosthesis model prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] The structure of the prosthesis type prediction system for total knee arthroplasty is as follows: figure 1 Shown:

[0036] 1. Data collection and screening.

[0037] The basic data (gender, height, weight) and preoperative knee X-ray films of patients undergoing total knee arthroplasty in a provincial tertiary hospital from 2014 to 2018 were collected. Convolutional neural network model with strong precision and generalization, so the present invention is based on transfer learning, first trains on a similar large data set, and then migrates back to the original data set to fine-tune the model structure and parameters.

[0038] 1) Select the selected data according to the aforementioned criteria for subsequent processing.

[0039] 2) For the data that meets the exclusion criteria, it is not used for the incremental training of the subsequent model, but the model can be used to predict it and provide surgical advice for doctors.

[0040] 2. Data preprocessing.

[004...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a total knee arthroplasty prosthesis model prediction method. The model comprises the steps that X-ray films of patient' knee joints before surgery and basic information of a patient are collected, wherein the X-ray films meet selection standards; the collected X-ray films and the basic information of the patient are preprocessed; and the pre-processed pictures and the basic information of the patient are used as features and input to a prosthesis model classifier trained based on a deep learning technology to acquire the use probability of each type of prosthesis in the surgery. According to the invention, the required prosthesis model can be efficiently and accurately predicted, and the detection accuracy rate can reach more than 84%; the accuracy rate reaches thesame level as the accuracy rate of preoperative prediction of experienced experts using CT and X-ray films; and the method provided by the invention only needs to use the X-ray films and the basic information of the patient, and has lower cost.

Description

technical field [0001] The invention belongs to the field of artificial intelligence medical image processing, and in particular relates to the design of a prosthesis type prediction system for total knee arthroplasty and a prosthesis type prediction method based on the system. Background technique [0002] Total knee arthroplasty (Total Knee Arthroplasty, TKA) is an effective method for the treatment of severe knee osteoinflammation and other diseases. While obtaining good clinical efficacy and reliable prosthesis survival rate, it also faces a series of postoperative complications. It affects the clinical curative effect of patients, and even requires revision surgery again, which increases the pain and medical burden of patients. According to different studies, the satisfaction rate of patients after total knee arthroplasty is only around 80%. [0003] Accurate prosthesis matching is considered to be one of the important factors to reduce complications such as postoperat...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G16H30/40G16H50/20G06K9/62G06N3/04G06N3/08
CPCG16H30/40G16H50/20G06N3/08G06N3/045G06F18/241
Inventor 岳宇王鑫光赵旻暐田华曹志崴高翘楚李斗
Owner PEKING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap