Early Detection of Developmental Dysplasia of the Hip

2021 ◽  
pp. 201-212
PEDIATRICS ◽  
1994 ◽  
Vol 94 (2) ◽  
pp. 201-208
Author(s):  
David D. Aronsson ◽  
Michael J. Goldberg ◽  
Thomas F. Kling ◽  
Dennis R. Roy

Objective. The definition and early treatment of congenital dysplasia of the hip are controversial. The purpose of this study was to discuss the reasons for changing the acronym to developmental dysplasia of the hip (DDH) and to address its early detection and treatment. Design. This multicenter study was designed to provide an updated assessment of the definition, pathologic anatomy, prevalence, etiology, natural history, early detection, and treatment of DDH. Results. DDH more accurately describes the condition previously termed congenital dysplasia of the hip. The disorder is not always present at birth (congenital) and an infant may have a normal neonatal hip screening examination and subsequently develop a dysplastic or dislocated hip. Developmental dysplasia encompasses the wide spectrum of hip problems seen in infants and children. Physicians should understand that a normal neonatal screening examination does not assure normal hip development. The diagnosis of developmental dysplasia is made by physical examination. The Ortolani and Barlow maneuvers were designed to detect a subluxatable, dislocatable, or dislocated hip in the neonatal period. In the older child, limited abduction becomes a more reliable sign. The examination is variable depending on the type of dysplasia and changes with growth. The ultrasound is proving to be a sensitive tool in confirming the diagnosis in newborns and infants from birth to 4 months of age. The ultrasound is also valuable in older infants in terms of documenting that the dysplasia is responding to treatment. However, the ultrasound depends on an experienced sonographer and, in some cases, may be too sensitive, resulting in overtreatment. After 3 to 4 months of age, an anteroposterior pelvis radiograph can confirm the diagnosis. Conclusions. All newborns should have a neonatal hip screening physical examination. After screening, the hips should be re-examined during health examination visits at 2 weeks, 2 months, 4 months, 6 months, 9 months, and 1 year of age. If any question arises during these visits or if there are associated risk factors, we recommend an ultrasound if the infant is <4 months of age or an anteroposterior pelvis radiograph if >4 months of age.


2017 ◽  
Vol 46 (1) ◽  
pp. 54-61 ◽  
Author(s):  
Nabil Alassaf

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.


Diagnostics ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1174
Author(s):  
Si-Wook Lee ◽  
Hee-Uk Ye ◽  
Kyung-Jae Lee ◽  
Woo-Young Jang ◽  
Jong-Ha Lee ◽  
...  

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.


2021 ◽  
Author(s):  
Hans‐Christen Husum ◽  
Arash Gaffari ◽  
Laura Amalie Rytoft ◽  
Jens Svendsson ◽  
Søren Harving ◽  
...  

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