Caregiver Experience Using Nonsurgical Treatment Options for Developmental Dysplasia of the Hip in Children

OrthoMedia ◽  
2022 ◽  
Keyword(s):  
Treatment Options ◽  
Developmental Dysplasia ◽  
Nonsurgical Treatment ◽  
Dysplasia Of The Hip

Developmental Hip Dysplasia

2019 ◽  
pp. 297-300
Author(s):  
Dorothy L. Gilbertson-Dahdal
Keyword(s):  
Risk Factors ◽  
Problem Solving ◽  
Imaging Modality ◽  
Treatment Options ◽  
Hip Dislocation ◽  
Clinical Findings ◽  
Developmental Dysplasia ◽  
Developmental Hip Dysplasia ◽  
Hormonal Factors ◽  
Dysplasia Of The Hip

Chapter 112 focuses on developmental dysplasia of the hip, which includes a spectrum of abnormalities ranging from a stable hip with a mildly dysplastic acetabulum to complete hip dislocation. Pathophysiology, clinical findings, and screening studies are explored. The pathophysiology is multifactorial including mechanical, genetic and hormonal factors. Imaging strategies, findings, and treatment options are also discussed. Screening US, which is the imaging modality of choice, is performed on infants with predisposing risk factors. Outcome is quite variable with many cases resolving spontaneously without treatment whereas others stabilize with acetabular dysplasia. Treatment options include immobilization and surgery. MRI is used for problem solving in postoperative patients.

scholarly journals Prediction of time to prosthesis implantation as a function of joint anatomy in patients with developmental dysplasia of the hip

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Michael Müller ◽  
Anasthasia Rakow ◽  
Georgi I. Wassilew ◽  
Tobias Winkler ◽  
Carsten Perka
Keyword(s):  
Early Stage ◽  
Treatment Options ◽  
Developmental Dysplasia ◽  
Prosthesis Implantation ◽  
Secondary Osteoarthritis ◽  
Time Of Surgery ◽  
Hip Anatomy ◽  
The Mean ◽  
The Relationship ◽  
Dysplasia Of The Hip

Abstract Background Developmental dysplasia of the hip (DDH) can lead to pain and premature secondary osteoarthritis at an early stage. Joint-preserving osteotomy is an established solution to this problem. In contrast, a conservative approach would result in pain persistence, ultimately raising the patients question for a possible date of expected prosthesis implantation. The aim of the study was to identify the relationship between the dysplastic hip anatomy and the time of prosthesis implantation in order to enable prognostic predictions in younger patients with symptomatic DDH. Materials and methods Data from 129 hips who received THA due to secondary DDH osteoarthritis were evaluated. The preoperative hip anatomy was evaluated for AI and LCE angle. Multiple linear regression analyses were then used to correlate the influence of these parameters with the patient’s age at the time of surgery. In addition, a graphical relationship was derived by the method of power least squares curve fitting with second-degree polynomials. Results The mean age for THA was 54.3 ± 11 years. The time of surgery correlated significantly with LCE (0.37) and AI (− 0.3) (p < 0.001). The mean age of patients with LCE angle ≤ 10° was 41.9 ± 14.0 years, for LCE 11–20° 52.7 ± 9.5 years, and for LCE 21–30° 57.0 ± 10.3 years. The following formula could then be determined for the calculation of the potential patient age at the time of THA as a function of LCE angle: age pTHA = 40.2 + 0.8 × LCE angle − 0.01 × (LCE angle)2. Conclusion A significant correlation between the extent of dysplasia and the time of prosthesis implantation was identified. In particular, the LCE and the AI correlated strongly with the time of implantation. The more dysplastic the angles were, the sooner the THA was necessary. Using the calculations presented in this study, the probable age of prosthesis implantation can be prognosticated and included in a counseling session about treatment options for DDH.

scholarly journals Closed reduction in late-detected developmental dysplasia of the hip: indications, results and complications

2018 ◽  
Vol 12 (4) ◽  
pp. 317-322 ◽  
Author(s):  
P. Wicart ◽  
R. Seringe ◽  
C. Glorion ◽  
A. Brassac ◽  
V. Rampal
Keyword(s):  
Avascular Necrosis ◽  
Closed Reduction ◽  
Acetabular Dysplasia ◽  
Treatment Options ◽  
Developmental Dysplasia ◽  
Review Of The Literature ◽  
Joint Congruency ◽  
Spontaneous Correction ◽  
Suitable Treatment ◽  
Dysplasia Of The Hip

PurposeThe aim of the study was a review of the literature in order to evaluate the results and complications of closed reduction in late-detected developmental dysplasia of the hip (DDH).MethodsThis study consisted of an analysis of the literature relative to late-detected DDH treatment options considering hip congruency, rates of re-dislocation and of avascular necrosis.ResultsGradual closed reduction (Petit-Morel method) appears to be an effective method concerning joint congruency restitution. Dislocation relapse and avascular necrosis are more efficiently prevented with closed versus open reduction. The tendency for spontaneous correction of acetabular dysplasia decreases if closed reduction is performed after 18 months of age. Patient age at the beginning of traction should be considered for the prognosis, with a lower rate of satisfactory results showing after the age of 3 years.ConclusionIn our opinion, the Petit-Morel method is a suitable treatment option for children aged between six months and three years with idiopathic DDH.

scholarly journals Prediction of the requirement of open reduction for developmental dysplasia of the hip

2017 ◽  
Vol 46 (1) ◽  
pp. 54-61 ◽  
Author(s):  
Nabil Alassaf
Keyword(s):  
Open Reduction ◽  
Area Under The Curve ◽  
Internal Validity ◽  
Developmental Dysplasia ◽  
Estimation Model ◽  
Cross Sectional ◽  
Noninvasive Treatment ◽  
Dysplasia Of The Hip ◽  
Logistic Regression Equation ◽  
Objective Tool

Objective Closed reduction (CR) is a noninvasive treatment for developmental dysplasia of the hip (DDH), and this treatment is confirmed intraoperatively. This study aimed to develop a preoperative estimation model of the probability of requiring open reduction (OR) for DDH. Methods The study design was cross-sectional by screening all patients younger than 2 years who had attempted CR between October 2012 and July 2016 by a single surgeon. Potential diagnostic determinants were sex, age, side, bilaterality, International Hip Dysplasia Institute (IHDI) grade, and acetabular index (AI). An intraoperative arthrogram was the reference standard. A logistic regression equation was built from a reduced model. Bootstrapping was performed for internal validity. Results A total of 164 hips in 104 patients who met the inclusion criteria were analysed. The prevalence of CR was 72.2%. Independent factors for OR were older age, higher IHDI grade, and lower AI. The probability of OR = 1/[1 + exp − (−2.753 + 0.112 × age (months) + 1.965 × IHDI grade III (0 or 1) + 3.515 × IHDI grade IV (0 or 1) − 0.058 × AI (degrees)]. The area under the curve was 0.79. Conclusion This equation is an objective tool that can be used to estimate the requirement for OR.

scholarly journals Accuracy of New Deep Learning Model-Based Segmentation and Key-Point Multi-Detection Method for Ultrasonographic Developmental Dysplasia of the Hip (DDH) Screening

Diagnostics ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1174
Author(s):  
Si-Wook Lee ◽  
Hee-Uk Ye ◽  
Kyung-Jae Lee ◽  
Woo-Young Jang ◽  
Jong-Ha Lee ◽  
...  
Keyword(s):  
Deep Learning ◽  
Intraclass Correlation ◽  
Alpha Angle ◽  
Learning Model ◽  
Developmental Dysplasia ◽  
Human Observer ◽  
Intraobserver Variability ◽  
Cad System ◽  
Deep Learning Model ◽  
Dysplasia Of The Hip

Hip joint ultrasonographic (US) imaging is the golden standard for developmental dysplasia of the hip (DDH) screening. However, the effectiveness of this technique is subject to interoperator and intraobserver variability. Thus, a multi-detection deep learning artificial intelligence (AI)-based computer-aided diagnosis (CAD) system was developed and evaluated. The deep learning model used a two-stage training process to segment the four key anatomical structures and extract their respective key points. In addition, the check angle of the ilium body balancing level was set to evaluate the system’s cognitive ability. Hence, only images with visible key anatomical points and a check angle within ±5° were used in the analysis. Of the original 921 images, 320 (34.7%) were deemed appropriate for screening by both the system and human observer. Moderate agreement (80.9%) was seen in the check angles of the appropriate group (Cohen’s κ = 0.525). Similarly, there was excellent agreement in the intraclass correlation coefficient (ICC) value between the measurers of the alpha angle (ICC = 0.764) and a good agreement in beta angle (ICC = 0.743). The developed system performed similarly to experienced medical experts; thus, it could further aid the effectiveness and speed of DDH diagnosis.

Positive predictive values in clinical screening for developmental dysplasia of the hip

2021 ◽  
Author(s):  
Hans‐Christen Husum ◽  
Arash Gaffari ◽  
Laura Amalie Rytoft ◽  
Jens Svendsson ◽  
Søren Harving ◽  
...  
Keyword(s):  
Developmental Dysplasia ◽  
Clinical Screening ◽  
Predictive Values ◽  
Dysplasia Of The Hip
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