Statistical Shape Modeling of US Images to Predict Hip Dysplasia Development in Infants

被引:4
|
作者
Bonsel, Joshua M. [1 ,2 ]
Gielis, Willem Paul [1 ]
Pollet, Virginie [3 ]
Weinans, Harrie H. [1 ]
Sakkers, Ralph J. B. [1 ]
机构
[1] Univ Med Ctr Utrecht, Dept Orthoped Surg, Lundlaan 6, NL-3384 EA Utrecht, Netherlands
[2] Erasmus MC, Dept Orthoped Surg, Rotterdam, Netherlands
[3] Royal Manchester Childrens Hosp, Dept Pediat Orthoped Surg, Manchester, Lancs, England
关键词
OSTEOARTHRITIS; DISLOCATION; MANAGEMENT; DIAGNOSIS; RISK;
D O I
10.1148/radiol.211057
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Background: The current widely applied Graf classification used on US images for developmental dysplasia of the hip in infants does not enable prediction of the development and outcome of well-centered stable dysplastic hips (Graf type II). Purpose: To use statistical shape modeling on US images to identify acetabular shape characteristics of Graf type II hips, which enable prediction of the development of Graf type II hips, and to identify which hips benefit from Pavlik harness treatment. Materials and Methods: In this secondary analysis of a prospective multicenter randomized trial on treatment of 104 infants aged 3-4 months with Graf type IIb or IIc hip dysplasia conducted between 2009 and 2015, a statistical shape model was developed on baseline US images. With multivariable logistic regression adjusted for infant sex and treatment (Pavlik harness treatment vs active observation), shape modes were correlated with the outcomes of persistent hip dysplasia on US images (alpha angle < 60 degrees) after 12-week follow-up and residual hip dysplasia on pelvic radiographs (Tonnis classification: acetabular index greater than 2 standard deviations) around 1 year of age. An interaction term (treatment with mode) was used to investigate if this result depended on treatment. Results: Baseline US images were available in 97 infants (mean age, 3.37 years +/- 0.43 [standard deviation]; 89 [92%] girls; 90 cases of Graf type IIb hip dysplasia; 52 cases treated with Pavlik harness). Shape modes 2 and 3 of the statistical shape modeling were associated with persistent hip dysplasia on US images (odds ratio [OR] = 0.43; P =.007 and OR = 2.39; P =.02, respectively). Mode 2 was also associated with residual hip dysplasia on pelvic radiographs (OR = 0.09; P =.002). The interaction term remained significant after multivariable analysis, indicating that Pavlik harness treatment was beneficial in patients with negative mode 2 values (OR = 12.46; P =.01). Conclusion: Statistical shape modeling of US images of infants with Graf type II dysplastic hips predicted which hips developed to normal or remained dysplastic and identified hips that benefited from Pavlik harness treatment. (C) RSNA, 2022
引用
收藏
页数:8
相关论文
共 47 条
  • [1] Statistical shape modeling of femur shape variability in female patients with hip dysplasia
    Gaffney, Brecca M. M.
    Hillen, Travis J.
    Nepple, Jeffrey J.
    Clohisy, John C.
    Harris, Michael D.
    [J]. JOURNAL OF ORTHOPAEDIC RESEARCH, 2019, 37 (03) : 665 - 673
  • [2] FREQUENCY AND DEVELOPMENT OF HIP-DYSPLASIA COMPLEX IN NEONATES AND INFANTS - A FURTHER STATISTICAL-ANALYSIS OF FINDINGS
    KOLLER, S
    MICHAELIS, H
    [J]. ZEITSCHRIFT FUR ORTHOPADIE UND IHRE GRENZGEBIETE, 1983, 121 (05): : 608 - 612
  • [3] Statistical shape modeling of the hip and the association with hip osteoarthritis: a systematic review
    van Buuren, M. M. A.
    Arden, N. K.
    Bierma-Zeinstra, S. M. A.
    Bramer, W. M.
    Casartelli, N. C.
    Felson, D. T.
    Jones, G.
    Lane, N. E.
    Lindner, C.
    Maffiuletti, N. A.
    van Meurs, J. B. J.
    Nelson, A. E.
    Nevitt, M. C.
    Valenzuela, P. L.
    Verhaar, J. A. N.
    Weinans, H.
    Agricola, R.
    [J]. OSTEOARTHRITIS AND CARTILAGE, 2021, 29 (05) : 607 - 618
  • [4] FREQUENCY AND DEVELOPMENT OF HIP-DYSPLASIA COMPLEX IN NEONATES AND INFANTS
    MAU, H
    MICHAELIS, H
    [J]. ZEITSCHRIFT FUR ORTHOPADIE UND IHRE GRENZGEBIETE, 1983, 121 (05): : 601 - 607
  • [5] Development and evaluation of statistical shape modeling for principal inner organs on torso CT images
    Zhou X.
    Xu R.
    Hara T.
    Hirano Y.
    Yokoyama R.
    Kanematsu M.
    Hoshi H.
    Kido S.
    Fujita H.
    [J]. Radiological Physics and Technology, 2014, 7 (2) : 277 - 283
  • [6] Statistical Shape Modeling Approach to Predict Missing Scapular Bone
    Asma Salhi
    Valerie Burdin
    Arnaud Boutillon
    Sylvain Brochard
    Tinashe Mutsvangwa
    Bhushan Borotikar
    [J]. Annals of Biomedical Engineering, 2020, 48 : 367 - 379
  • [7] Statistical Shape Modeling Approach to Predict Missing Scapular Bone
    Salhi, Asma
    Burdin, Valerie
    Boutillon, Arnaud
    Brochard, Sylvain
    Mutsvangwa, Tinashe
    Borotikar, Bhushan
    [J]. ANNALS OF BIOMEDICAL ENGINEERING, 2020, 48 (01) : 367 - 379
  • [8] Three-dimensional US in Infants with Developmental Dysplasia of the Hip: Ready for Prime Time
    Jaramillo, Diego
    [J]. RADIOLOGY, 2018, 287 (03) : 1016 - 1017
  • [9] HIP SHAPE BY STATISTICAL SHAPE MODELING IS ASSOCIATED WITH LEG LENGTH INEQUALITY IN OLDER ADULTS
    Golightly, Y. M.
    Stiller, J. L.
    Cantrell, J.
    Renner, J. B.
    Jordan, J. M.
    Aspden, R. M.
    Gregory, J. S.
    Nelson, A. E.
    [J]. OSTEOARTHRITIS AND CARTILAGE, 2015, 23 : A58 - A58
  • [10] Application of statistical shape modeling to the human hip joint: a scoping review
    Johnson, Luke G.
    Bortolussi-Courval, Sara
    Chehil, Anjuli
    Schaeffer, Emily K.
    Pawliuk, Colleen
    Wilson, David R.
    Mulpuri, Kishore
    [J]. JBI EVIDENCE SYNTHESIS, 2023, 21 (03) : 533 - 583