CN-121999980-A - Method and system for intelligently recommending prosthesis parameters in hip replacement surgery

CN121999980ACN 121999980 ACN121999980 ACN 121999980ACN-121999980-A

Abstract

The application discloses a method and a system for intelligently recommending prosthesis parameters in hip joint replacement operation, which relate to the technical field of hip joint prosthesis parameter recommendation, and comprise the steps of firstly, information acquisition and analysis, secondly, prosthesis material analysis and thirdly, prosthesis material and parameter confirmation, medical information sets of historical patients are obtained by sorting and summarizing personal information, hip joint pathological information, hip joint prosthesis material information and rehabilitation information of the historical patients, and matching the preoperative information set of the target patient with the medical information set of each historical patient, further obtaining a hip joint prosthesis material recommendation table of the target patient, verifying the material parameters of each prosthesis material and the reference parameters of the target patient to obtain recommended materials, and finally compensating the reference parameters based on the correction parameters of the recommended materials, thereby improving the hip joint prosthesis matching rate and the postoperative prosthesis survival rate of the patient.

Inventors

YANG PEI
ZHANG JIEWEN
LIU CHENGYAN
LIU ZEYU
CHEN YANG
TIAN RUN
WANG KUNZHENG
KONG NING
LI YIYANG
QIAO TIAN
LV JINGYI
ZHAO YIWEI
Cao Ruomu

Assignees

西安交通大学医学院第二附属医院

Dates

Publication Date: 20260508
Application Date: 20260121

Claims (10)

1. A method for intelligently recommending prosthesis parameters in hip replacement surgery, comprising: the information acquisition and analysis module acquires each patient subjected to hip joint replacement operation in history from the hospital electronic medical record system, marks each patient as each history patient, acquires personal information, hip joint pathology information, hip joint prosthesis material information and rehabilitation information of each history patient, and further analyzes and obtains a medical information set of each history patient; Marking a patient needing hip joint replacement operation as a target patient, creating a preoperative information set of the target patient, and matching the preoperative information set of the target patient with medical information sets of all historical patients to obtain a hip joint prosthesis material recommendation table of the target patient; and thirdly, constructing a three-dimensional model of the hip joint of the target patient according to the two-dimensional imaging image of the target patient, and further determining the parameters of the hip joint prosthesis of the target patient according to the three-dimensional model of the hip joint and the hip joint prosthesis material recommendation table.
2. The method for intelligently recommending prosthesis parameters in hip replacement surgery according to claim 1, wherein the personal information comprises patient age, sex, pre-operation muscle strength and bone density, the hip pathology information comprises a hip joint disease type, the hip prosthesis material information comprises a material type, and the rehabilitation information comprises a postoperative two-year complication occurrence number and a hip joint dislocation number.
3. The method for intelligently recommending prosthesis parameters in hip replacement surgery according to claim 2, wherein the analysis obtains a medical information set of each historical patient by the following specific analysis process: acquiring the ages of the historic patients based on personal information of the historic patients, marking the historic patients under 18 years old as juvenile patients, marking the historic patients under 18-30 years old as young patients, marking the historic patients under 30-50 years old as middle-aged patients, marking the historic patients over 50 years old as elderly patients, and acquiring the age types of the historic patients; Acquiring the gender, the preoperative muscle strength and the bone density of each historical patient based on the personal information of each historical patient, substituting the preoperative muscle strength and the bone density of each historical patient into a preoperative basic health condition evaluation model, and further outputting preoperative health characteristic values of each historical patient, wherein the preoperative health characteristic values comprise data of 1, 0 and-1; acquiring postoperative complication occurrence times and postoperative hip joint dislocation times of each historical patient based on rehabilitation information of each historical patient, and respectively recording the postoperative complication occurrence times and the postoperative hip joint dislocation times as And Where i is denoted as the number of each historic patient, , For any integer greater than 2, according to the calculation formula: outputting postoperative rehabilitation evaluation coefficient of ith patient ; Acquiring the type of the hip joint disease of each historical patient based on the pathological information of each historical patient, acquiring the type of the hip joint prosthesis material of each historical patient based on the hip joint prosthesis material information of each historical patient, and acquiring the sex of each historical patient based on the personal information of each historical patient, thereby integrating the sex, the age type, the preoperative health characteristic value, the hip joint disease type, the type of the hip joint prosthesis material and the postoperative rehabilitation evaluation coefficient of each historical patient and constructing the medical information set of each historical patient.
4. A method for intelligently recommending prosthesis parameters in hip replacement surgery according to claim 3, wherein the creating of the preoperative information set of the target patient comprises the following steps: Acquiring the gender, age type, preoperative muscle strength and bone density of a target patient based on personal information of the target patient, substituting the preoperative muscle strength and bone density of the target patient into a preoperative basic health condition evaluation model, and further acquiring preoperative health characteristic values of each historical patient; and acquiring the type of the hip joint disease of the patient based on the hip joint pathology information of the target patient, and constructing a preoperative information set of the target patient by integrating the gender, the age type, the preoperative health characteristic value and the type of the hip joint disease of the patient.
5. The method for intelligently recommending prosthesis parameters in hip replacement surgery according to claim 4, wherein the matching of the preoperative information set of the target patient with the medical information set of each historical patient further obtains a hip prosthesis material recommendation table of the target patient comprises the following specific steps: input information similarity matching module for preoperative information set of target patient and medical information set of each historical patient Outputting the characteristic value of the information similarity between the target patient and the ith historical patient Wherein , W represents the age type of the target patient, Indicating the age type of the i-th patient, Indicating the sex of the subject patient, Indicates the sex of the ith patient, Q indicates the type of hip disease of the patient, Representing the type of hip joint disease in the ith patient; Acquiring each historical patient corresponding to each historical patient when the information similarity characteristic value of the target patient and each historical patient is 2, recording the historical patient as each first-stage reference patient, extracting the medical information set of each priority reference patient from the medical information set of each historical patient, extracting the postoperative rehabilitation evaluation coefficient and the hip joint prosthesis material type of each priority reference patient from the medical information set of each priority reference patient, and further establishing the connection between the postoperative evaluation coefficient and the hip joint prosthesis material type of each first-stage reference patient, thereby constructing the hip joint prosthesis material recommendation table of the target patient.
6. The method for intelligently recommending prosthesis parameters in hip replacement surgery according to claim 5, wherein the step of establishing a relationship between the postoperative rehabilitation evaluation coefficient of each primary reference patient and the type of hip prosthesis material, and further establishing a primary hip prosthesis material recommendation table of the target patient comprises the following specific steps: The method comprises the steps of recording the type of hip joint prosthesis materials of any one-level reference patient as reference materials, obtaining postoperative rehabilitation evaluation coefficients of all-level reference patients using the reference materials, taking an average value of the postoperative rehabilitation evaluation coefficients of all-level priority reference patients using the reference materials, recording the average value as a recommended coefficient of the reference materials, obtaining each recommended value of each hip joint prosthesis material type according to the method, and accordingly establishing a relation between the hip joint prosthesis material type and the postoperative evaluation coefficients of each-level reference patient; And sequencing the obtained postoperative evaluation coefficients corresponding to the types of the hip joint prosthesis materials from large to small, and accordingly constructing a hip joint prosthesis material recommendation table of the target patient.
7. The method for intelligently recommending prosthesis parameters in hip replacement surgery according to claim 6, wherein the constructing the three-dimensional model of the hip of the target patient based on the two-dimensional imaging of the target patient comprises the following steps: Acquiring a hip joint CT image and a magnetic resonance image of a target patient based on a two-dimensional imaging image of the target patient, importing the CT image and the magnetic resonance image into image processing software to divide the image, using the divided two-dimensional image as input, performing three-dimensional reconstruction on the divided two-dimensional image by using a drawing algorithm, further outputting a hip joint three-dimensional model of the target patient, visualizing the generated hip joint three-dimensional model by using visualization software, and observing the shape and structure of the hip joint from different angles through rotation, scaling and translation operations.
8. The method of claim 7, wherein the hip prosthesis parameters include acetabular angle, thickness, inner and outer diameters, femur length, diameter and neck shaft angle.
9. The method for intelligently recommending prosthesis parameters in hip replacement surgery according to claim 8, wherein the determining the hip prosthesis parameters of the target patient according to the three-dimensional model of the hip joint and the hip prosthesis material recommendation table comprises the following steps: Acquiring hip joint parameters of a target patient based on a three-dimensional model of the hip joint of the target patient, and marking the hip joint parameters as reference parameters; The method comprises the steps of obtaining a first hip joint prosthesis recommended material in a first hip joint prosthesis recommended material list based on a target patient, marking the first hip joint prosthesis recommended material as a first-level recommended material, obtaining material parameters of the first-level recommended material from a data center, comparing reference parameters of the target patient with the material parameters, taking the first-level recommended material as the hip joint prosthesis material of the target patient if the reference parameters of the target patient belong to the parameter range of the material parameters, otherwise obtaining a second hip joint prosthesis recommended material in the first-level hip joint prosthesis recommended material list, marking the second-level recommended material, and comparing the reference parameters of the target patient with the material parameters until the hip joint prosthesis material of the target patient is obtained; And acquiring the correction parameters of the hip joint prosthesis material of the target patient from the data center, and combining the reference parameters of the target patient and the correction parameters of the hip joint prosthesis material, wherein the recommended parameters=the reference parameters+the correction parameters to obtain the recommended parameters of the hip joint prosthesis of the target patient.
10. An intra-hip replacement surgery intelligent recommended prosthesis parameter system according to claim 1, for performing an intra-hip replacement surgery intelligent recommended prosthesis parameter method according to any one of claims 1 to 9, comprising: The information acquisition and analysis module acquires each patient subjected to hip joint replacement operation in history from the hospital electronic medical record system, marks each patient as each history patient, acquires personal information, hip joint pathology information, hip joint prosthesis material information and rehabilitation information of each history patient, and further analyzes and obtains a medical information set of each history patient; The prosthesis material analysis module marks a patient needing hip joint replacement operation as a target patient, creates a preoperative information set of the target patient, and matches the preoperative information set of the target patient with medical information sets of all historical patients to obtain a hip joint prosthesis material recommendation table of the target patient; the prosthesis material and parameter confirmation module is used for constructing a three-dimensional model of the hip joint of the target patient according to the two-dimensional imaging image of the target patient, and further determining the parameters of the hip joint prosthesis of the target patient according to the three-dimensional model of the hip joint and the hip joint prosthesis material recommendation table.

Description

Method and system for intelligently recommending prosthesis parameters in hip replacement surgery Technical Field The application relates to the technical field of hip joint prosthesis parameter recommendation, in particular to a method and a system for intelligently recommending prosthesis parameters in hip joint replacement surgery. Background The hip joint replacement operation is a key operation for treating hip joint diseases or fracture, and has the core difficulty in personalized selection of parameters of a hip joint prosthesis, and parameters suitable for different prosthesis materials are different, the selection of the parameters of the traditional hip joint prosthesis depends on experience or two-dimensional image data of doctors, and the experience difference of the doctors can lead to larger parameter selection deviation, so the application provides an intelligent prosthesis parameter recommending method and system in the hip joint replacement operation. A method, device, equipment and storage medium for intelligently recommending prosthesis parameters in hip replacement operation disclosed in the patent of CN116168801A in the prior art comprises the steps of establishing standard template prostheses, establishing reversible mapping functions for prostheses of different brands and models and the standard template prostheses respectively to form a prosthesis mapping relation library, training a neural network to learn by taking standard template prosthesis pose parameters corresponding to prosthesis models in a great number of hip operation planning schemes established by doctors with abundant clinical experience as samples, inputting patient CT images, outputting pose parameters corresponding to the standard template prostheses, automatically selecting an adaptive model by a system after the doctors select prostheses of specific brands and models, and automatically correcting the pose parameters by the pre-established mapping functions. Aiming at the scheme, the technical problems are that 1, the current technology mainly comprises the steps that after a doctor selects a prosthesis with a specific brand and model, a system automatically selects an adaptive model and automatically corrects pose parameters through a pre-established mapping function, the current technology only considers the influences of the brand and model numbers of the prosthesis on the pose parameters, and does not consider the influences of the prosthesis materials on the prosthesis parameters, so that the accuracy of the hip joint prosthesis parameters cannot be effectively ensured. 2. The prior art does not consider that the requirements of the parameters of the prosthesis are different due to the individuation difference of patients, the gender, the age and the preoperative health condition of the patients can influence the parameters of the prosthesis during operation, and the neglect of the prior art on the aspect leads to the excessively single consideration condition when the parameters of the prosthesis are recommended, so that the parameters of the prosthesis are recommended inaccurately. Disclosure of Invention The application aims to provide a method and a system for intelligently recommending prosthesis parameters in hip replacement surgery, which solve the problems in the background technology. In order to solve the technical problems, the application adopts the following technical scheme that the application provides an intelligent prosthesis parameter recommending method in hip joint replacement operation in a first aspect, which comprises the steps that firstly, an information acquisition and analysis module acquires each patient who is subjected to hip joint replacement operation in history from a hospital electronic medical record system, marks each patient as each history patient, acquires personal information, hip joint pathology information, hip joint prosthesis material information and rehabilitation information of each history patient, and further analyzes and obtains medical information sets of each history patient. Marking a patient needing hip joint replacement operation as a target patient, creating a preoperative information set of the target patient, and matching the preoperative information set of the target patient with medical information sets of all historical patients to obtain a hip joint prosthesis material recommendation table of the target patient. And thirdly, constructing a three-dimensional model of the hip joint of the target patient according to the two-dimensional imaging image of the target patient, and further determining the parameters of the hip joint prosthesis of the target patient according to the three-dimensional model of the hip joint and the hip joint prosthesis material recommendation table. Preferably, the personal information comprises patient age, sex, pre-operative muscle strength and bone density, the hip joint pathology information comprises a hip joint disease t