scholarly journals Using 3D Ultrasound to Improve Reliability in Assessing Developmental Dysplasia of the Hip

10.29007/74v9 ◽  
2018 ◽  
Author(s):  
Niamul Quader ◽  
Antony J. Hodgson ◽  
Kishore Mulpuri ◽  
Anthony Cooper ◽  
Emily Schaeffer ◽  
...  
Keyword(s):  
3D Ultrasound ◽  
Developmental Dysplasia ◽  
Significant Variability ◽  
2D Ultrasound ◽  
Dysplasia Of The Hip ◽  
Improve Reliability

Many infants are born with unstable hips which can cause severe mobility issues as they grow older. This condition is known as developmental dysplasia of the hip (DDH), and although it is the most common hip disorder in infants, its diagnosis using 2D ultrasound (US) is prone to significant variability. This paper presents methods to reliably and automatically diagnose DDH in infants using 3D US. Based on 40 infant hip examinations, we demonstrate a 70% reduction in variability of 3D US-based measurements compared to those of standard 2D US-based measurements.

scholarly journals Prenatal Screening for Developmental Displacement of the Hip: The BUDDHA (Pre-Birth Ultrasound for Developmental Displacement of the Hip Assessment) Study

Diagnostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 868
Author(s):  
Elena Contro ◽  
Laura Larcher ◽  
Jacopo Lenzi ◽  
Arianna Benfenati ◽  
Giulia Massinissa Magini ◽  
...  
Keyword(s):  
Normal Development ◽  
Normal Values ◽  
3D Ultrasound ◽  
Tertiary Hospital ◽  
Developmental Dysplasia ◽  
Prenatal Ultrasound ◽  
3D Volume ◽  
Volume Acquisition ◽  
The Buddha ◽  
Dysplasia Of The Hip

Background: developmental dysplasia of the hip has an incidence of 3–5 out of 1000 children. Currently, only postnatal screening is available. Objective: to test the feasibility of a method based on Graf technique application at antenatal ultrasound in assessing the normal development of the hip in unselected term fetuses. Methods: a prospective cohort study in a single university tertiary hospital from January 2017 to January 2020. Single uncomplicated term pregnancies (37–40 weeks) attending our center for routine ultrasound were consecutively recruited for the purpose of the study. A 3D volume acquisition was launched on the coxofemoral joint of the fetus by a single expert operator, and offline analysis was then performed in the multiplanar mode by two operators (blinded to each other analysis) in order to measure the alpha and beta angles according to our modified Graf technique. Intra- and inter-observer variations were calculated. Reference charts for normal values of both angles were produced. Postnatal ultrasound was then performed to measure the Graf angles in newborns, confirming a normal development of the hip. Results: in the study period, 433 uncomplicated term pregnancies underwent 3D ultrasound for the assessment of the fetal hip. One case was subsequently excluded because of confirmed postnatal diagnosis of developmental dysplasia of the hip. The measurement of our modified Graf angles was feasible at prenatal ultrasound with a good reproducibility. The inter-rater and intra-rater reliability of both angles was substantial. Reference charts for normal values of both angles were produced. Conclusions: the evaluation of the coxofemoral joint in fetuses at term of gestation has never been attempted before. The Graf technique application, currently employed at postnatal ultrasound, may also be adapted to prenatal ultrasound with a substantial reproducibility. However, there was no evidence of a linear relationship between prenatal and postnatal alpha angles and beta angles. Further research is needed to establish if developmental dysplasia of the hip could be diagnosed antenatally.

Real Time RNN Based 3D Ultrasound Scan Adequacy for Developmental Dysplasia of the Hip

2018 ◽  
pp. 365-373 ◽  
Author(s):  
Olivia Paserin ◽  
Kishore Mulpuri ◽  
Anthony Cooper ◽  
Antony J. Hodgson ◽  
Rafeef Garbi
Keyword(s):  
Real Time ◽  
3D Ultrasound ◽  
Developmental Dysplasia ◽  
Ultrasound Scan ◽  
Dysplasia Of The Hip

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

Separate regulatory variants at GDF5-UQCC1 underlie common knee osteoarthritis risk and developmental dysplasia of the hip

2021 ◽  
Vol 29 ◽  
pp. S10
Author(s):  
T.D. Capellini ◽  
P. Muthuirulan ◽  
Z. Liu ◽  
A.M. Kiapour ◽  
J. Sieker ◽  
...  
Keyword(s):  
Knee Osteoarthritis ◽  
Developmental Dysplasia ◽  
Regulatory Variants ◽  
Dysplasia Of The Hip
Sign in / Sign up

Export Citation Format

Share Document