(ii) Congenital dislocation of the hip

Perception and Awareness about Developmental Dysplasia of the Hip in Children among Pregnant Ladies in the Aseer Region, Southwestern Saudi Arabia

Background: Developmental dysplasia of the hip (DDH) is classified as a group of malformations, varying from abnormal acetabulum (dysplasia) and mild subluxation of the femoral head to fixed displacement (congenital dislocation). This study aimed to assess the knowledge level and its determinants regarding DDH in children among pregnant females in the Aseer region of southwestern Saudi Arabia. Methods: A descriptive cross-sectional study was conducted targeting all pregnant females in the Aseer region between 1 February 2021 and 1 May 2021. A pre-structured online questionnaire was constructed by the researchers to obtain the participating females’ bio-demographic data (including age, education status, and obstetric history) and awareness regarding DDH. The last section asked for their source of information regarding DDH. Results: A total of 253 pregnant females (aged between 18 and 45 years; mean age = 30.5 ± 10.2 years) fulfilling the inclusion criteria completed the study questionnaire. About 5% of the females reported having a child with DDH, and 166 (65.6%) pregnant females knew about DDH. Additionally, 110 (43.5%) females reported that they know about how DDH is treated, and 99 (39.1%) knew about DDH complications. The most commonly reported source of information was relatives and friends (44.3%), followed by social media (11.9%) and study and work (7.1%). Conclusions: Pregnant females in the Aseer region have poor knowledge and awareness about DDH and its causes, treatment modalities, and complications. Higher knowledge was associated with either high parity or having a child with DDH.

A new classification system for the adult dysplastic hip requiring total hip arthroplasty: a reliability study

Current classification systems used for developmental dysplasia of the hip (DDH) in adult patients about to undergo total hip arthroplasty use a combined assessment of the acetabulum and femur which ignores femoral geometry and problems related to reconstruction of leg length. Currently accepted systems are those of Crowe and Hartofilakidis; it is our opinion that they do not predict surgical difficulties encountered at total hip arthroplasty. We describe a new classification system for adult DDH that divides the acetabulum and femur into separate components. The acetabular classification comprises: AI: Dysplastic acetabulum; AII: The acetabulum associated with a low femoral dislocation; AIII: The post-surgical acetabulum, with (AIIIa) or without retained metalwork (AIIIb). The femoral classification consists of: FI: Dysplastic femur but contained within true or low acetabulum; FII: The high femur; FIII: Post-surgical femur, again with or without metalwork (FIIIa and FIIIb). 50 pre-operative radiographs of hips with DDH about to undergo total hip replacement were assessed by orthopaedic consultants, registrars and medical students. They were classified using the new system, Crowe and Hartofilakidis systems. Interobserver and intraobserever reliability was assessed using Fleiss' kappa coefficient with combined (acetabulum and femur) kappa scores for the new system of 0.69 for interobserver and 0.67 for intraobserver reliability. This equated to 'substantial agreement' according to Landis and Koch and the new system showed at least comparable levels of reliability to the Hartofilakidis and Crowe systems. We have demonstrated reproducibility of our new classification system for DDH in the adult population and believe it could provide useful information when planning arthroplasty and be used to predict technical difficulties and outcome.

Parametric 3D hip joint segmentation for the diagnosis of developmental dysplasia

In this paper, we present a segmentation method for the hip joint from 3D ultrasound data. The proposed approach starts from a well-known energy formulation of the segmentation problem, and employs the extended local structure tensor as image feature in order to incorporate gray level and texture information in a common framework. Using the Kullback-Leibler distance as an intrinsic dissimilarity measure, the energy minimization is performed by estimating the optimal parameters of the sphere and paraboloid that best approximate the femoral head and acetabulum, respectively. A 2D level set segmentation of the iliac bone and an easy user interaction step allow for the introduction of the necessary constraints to make the energy minimization feasible. Experimental results over several data volumes show this approach to be capable of successfully approximating the anatomy of the hip joint by simple geometrical surfaces.