11 results about "Developmental dysplasia" patented technology

The invention discloses a child developmental hip joint dysplasia auxiliary diagnosis system based on deep learning. The system comprises a trained instance segmentation model and a feature point positioning model. The instance segmentation model is used for segmenting double-side closed pores and ilium from the pelvis image of the child; the feature point positioning model is used for accurately positioning eight hip joint feature points from the pelvis image of the child; the diagnosis method comprises the following steps: inputting a to-be-diagnosed pelvic image of a child into an instance segmentation model, segmenting double-side closed pores and ilium, and obtaining the maximum transverse diameter and area of the closed pores and ilium and the rotation index and area ratio of the closed pores and ilium so as to judge the symmetry of the pelvic image; if the pelvis image is judged to be symmetrical, the quality control standard is met; and after the quality control process is finished, the images or all the images meeting the quality control standard are selected to be sent to a feature point positioning model for feature point detection and IHDI classification. According to the invention, rapid and accurate image quality control and grading diagnosis of children's developmental dysplasia of hip joints can be realized.

The present disclosure relates, in general, to measures of efficacy in patients receiving C-type natriuretic peptide (CNP) therapy to treat a skeletal dysplasia, short stature or bone-related disorders.

The invention relates to an ultrasonic image processing method and system for infant developmental dysplasia of hip joints, and the method comprises the steps: obtaining an infant hip joint ultrasonic image to be diagnosed, and segmenting the ultrasonic image into independent image frames; performing target detection on the picture frame to obtain a hip joint bounding box, and preliminarily screening a standard image based on the hip joint bounding box; key point detection is carried out on the basis of the hip joint bounding box, and key point coordinates and confidence are obtained; screening the standard image again based on the key points and the confidence thereof; calculating a reference radius for the screened standard image, and further selecting an optimal standard image; and calculating an alpha angle and a beta angle based on the key point position in the optimal standard image. Compared with the prior art, the image meeting the Graf method standard can be quickly screened out from the original ultrasonic image, meanwhile, the target angle is automatically calculated through the standard images, doctors are assisted in evaluating the development state of the hip joint, and the time and workload of the doctors are remarkably saved.

Embodiments of the present disclosure pertain to a stabilizer that includes: (1) a first shoulder strap and a second shoulder strap that are each operational to be positioned on different shoulders of a subject; (2) a first hip strap and a second hip strap that are each operational to be positioned on different upper thighs of a subject and connectable to the first shoulder strap and the second shoulder strap, respectively; and (3) a connecting area operational to connect to the first shoulder strap, the second shoulder strap, the first hip strap and the second hip strap on the back of a subject. Additional embodiments of the present disclosure pertain to methods of applying the stabilizers of the present disclosure to a subject for various purposes, such as treating or preventing developmental dysplasia of the hip (DDH).

This application relates to the field of medical diagnostic technologies, and particularly to a method and device for classifying developmental dysplasia of the hip based on X-ray films. The method includes the following steps: (1) Establishing the standard position of the X-ray film; (2) Measuring the X-ray film to determine reference points; (3) Determining measurement parameters based on the reference points; (4) Classifying according to the measurement parameters. The new classification method of the present invention covers a wider range of diseases, has a stronger ability to distinguish deformities, more reliable observation of stability, and stronger guiding significance for surgery: 1. It can accurately identify different types of special hip dysplasia, etc., and classify according to the surgical difficulty to select appropriate prostheses and preoperative preparations. 2. It is easier to calculate, and the identification of the false acetabulum is relatively simple. 3. It can accurately predict the severity of proximal femoral deformities, guide the position of acetabular construction, and evaluate whether patients with high-level hip dysplasia require special prostheses and subtrochanteric osteotomy.

Embodiments of the present disclosure provide a method for treating developmental dysplasia of the hip. The method includes administering a therapeutically effective amount of a pharmaceutical composition to a subject suffering from the developmental dysplasia of the hip. The pharmaceutical composition includes a substance capable of inhibiting expression of Midkine (MDK), and the substance capable of inhibiting the expression of MDK is Midkine inhibitor (IMDK).

The invention relates to the field of medical systems, in particular to an auxiliary diagnosis system for child developmental dysplasia of hip joints, which comprises an information input module used for inputting multi-aspect information of children; the analysis module comprises a trained convolutional neural network, the convolutional neural network is used for training hip joint ultrasonic images of children of 4-6 months old under multi-aspect information, the convolutional neural network is used for judging whether diagnosis features in the hip joint ultrasonic images meet diagnosis requirements or not, and the convolutional neural network is used for collecting input information of the information input module; and outputting the reference probability that the ultrasonic detection meets the diagnosis requirement. By the adoption of the technical scheme, the method is used for predicting the developmental hip joint dysplasia probability of 4-6-month-old children through multi-aspect information, medical workers are assisted to make examination mode decisions, and the frequency of invalid ultrasonic detection conducted by the medical workers is reduced.

The invention discloses a child developmental hip dysplasia auxiliary diagnosis system based on deep learning, including a trained instance segmentation model and a feature point positioning model; the instance segmentation model is used to segment the bilateral obturator foramen and ilium from the child pelvic image; the feature point positioning model is used to accurately locate 8 hip joint feature points from the child pelvic image; the diagnosis steps are as follows: the child pelvic image to be diagnosed is input into the instance segmentation model, the bilateral obturator foramen and ilium are segmented, the maximum transverse diameter and area of ​​the obturator foramen and ilium, and the rotation index and area ratio of the obturator foramen and ilium are obtained to judge the symmetry of the pelvic image; if the pelvic image is determined to be symmetrical, it meets the quality control standard; after the quality control process is completed, the image that meets the quality control standard or all images are selected to be sent to the feature point positioning model for feature point detection and IHDI classification. The invention can realize rapid and accurate image quality control and graded diagnosis of child developmental hip dysplasia.

The present invention discloses a biological acetabular partial reconstruction prosthesis for treating hip dysplasia, which comprises a specific base and an articular surface coating. The upper end of the specific base is pointed and small, while the lower end is thick and large. It includes an acetabular contact surface, a soft tissue contact surface and a femoral head joint engagement surface. The acetabular contact surface and the soft tissue contact surface enclose the side surface of the specific base, and the femoral head joint engagement surface constitutes the bottom surface of the specific base. The specific base is a three-dimensional porous network structure. The biological acetabular partial reconstruction prosthesis for treating hip dysplasia disclosed by the present invention enables patients to improve the biomechanical environment of the hip joint, delay the progression of hip arthritis, and avoid the disadvantages of large surgical trauma and poor morphological combination of the existing periacetabular osteotomy. At the same time, it can be applied to the early treatment of sequelae of hip dysplasia, delay or avoid joint replacement, and has a significant effect on the treatment of patients with mild hip dysplasia.

Embodiments of the present disclosure provide a method for treating developmental dysplasia of the hip. The method includes administering a therapeutically effective amount of a pharmaceutical composition to a subject suffering from the developmental dysplasia of the hip. The pharmaceutical composition includes a substance capable of inhibiting expression of Midkine (MDK), and the substance capable of inhibiting the expression of MDK is Midkine inhibitor (IMDK).