Body of evidence supporting the clinical use of 3D multisegment foot models: A systematic review

被引:103
|
作者
Deschamps, Kevin [1 ,2 ,3 ,4 ]
Staes, Filip [2 ]
Roosen, Philip [5 ]
Nobels, Frank [6 ]
Desloovere, Kaat [3 ,7 ]
Bruyninckx, Herman [8 ]
Matricali, Giovanni A. [1 ]
机构
[1] Katholieke Univ Leuven, Div Musculoskeletal Disorders, Univ Hosp Leuven, Multidisciplinary Diabet Foot Clin, B-3212 Pellenberg, Belgium
[2] Katholieke Univ Leuven, Res Ctr Musculoskeletal Rehabil, Dept Rehabil Sci, B-3001 Heverlee, Belgium
[3] Katholieke Univ Leuven, Univ Hosp Pellenberg, Lab Clin Mot Anal, B-3212 Pellenberg, Belgium
[4] Inst Enseignment Super Parnasse Deux Alice, Haute Ecole Leonard De Vinci, Div Podiatry, Brussels, Belgium
[5] Univ Ghent, Res Grp Musculoskeletal Rehabil, Dept Rehabil Sci & Physiotherapy, B-9000 Ghent, Belgium
[6] Onze Lieve Vrouw Ziekenhuis Aalst, Multidisciplinary Diabet Foot Clin, Dept Internal Med Endocrinol, B-9300 Aalst, Belgium
[7] Katholieke Univ Leuven, Dept Rehabil Sci, B-3212 Pellenberg, Belgium
[8] Katholieke Univ Leuven, Dept Mech Engn, B-3001 Heverlee, Belgium
关键词
Foot; Kinematics; 3D multisegment foot model; Motion; STANCE PHASE; GAIT ANALYSIS; HALLUX-RIGIDUS; KINEMATIC MODEL; MOTION; ANKLE; REPEATABILITY; MOVEMENT; CHILDREN; WALKING;
D O I
10.1016/j.gaitpost.2010.12.018
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Background: A critical component in the characterization of foot mechanics during clinical gait analysis is the quantitative measurement of foot kinematics. Currently, the use of 3D multisegment foot models (3DMFMs) is popular in gait laboratories as it would seem to be an adequate tool for the in vivo analysis of dynamic foot kinematics. This systematic review identifies and evaluates current evidence for the use of 3DMFMs in clinical gait analysis. Methods: A targeted search strategy traced full papers that fulfilled the inclusion and exclusion criteria. The papers were classified and evaluated for quality using a custom made quality appraisal form. Findings: Forty-one manuscripts were included yielding a total number of fifteen 3DMFMs. Generally, study procedures and sample selection were adequately described; however, the methodological quality varied widely. Evidence regarding the repeatability of the identified models also varied widely. Models facing the highest level of scientific credibility were characterized by adequate repeatability indices obtained from between-trial, between-day and between and within assessor studies. Generally, the highest reliability indices were found for the sagittal plane kinematics. Within-subject variability was found to be the lowest, contrarily, between-subject and between-day variabilities were found to be highest. Interpretation: Reported repeatability indices such as the coefficient of multiple correlation, standard deviation and standard error of measurement provide evidence for the continued use of 3DMFMs. While a number of published models exist, there is no adequate evidence available to support their clinical use. More reliability and validity studies are needed to confirm adequate measurement properties of 3DMFMs. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:338 / 349
页数:12
相关论文
共 50 条
  • [1] Multisegment Foot Models and Clinical Application After Foot and Ankle Trauma: A Review
    van Hoeve, Sander
    Poeze, Martijn
    [J]. JOURNAL OF FOOT & ANKLE SURGERY, 2019, 58 (04): : 748 - 754
  • [2] Supporting the constructability review with 3D/4D models
    Hartmann, Timo
    Fischer, Martin
    [J]. BUILDING RESEARCH AND INFORMATION, 2007, 35 (01): : 70 - 80
  • [3] The use of artificial intelligence in 3D imaging modalities and diabetic foot disease - a systematic review
    Ahmad, Manal
    Tan, Matthew
    Bergman, Henry
    Shalhoub, Joseph
    Davies, Alun
    [J]. BRITISH JOURNAL OF SURGERY, 2024, 111
  • [4] Effectiveness of Bioinks and the Clinical Value of 3D Bioprinted Glioblastoma Models: A Systematic Review
    Leong, Shye Wei
    Tan, Shing Cheng
    Norhayati, Mohd Noor
    Monif, Mastura
    Lee, Si-Yuen
    [J]. CANCERS, 2022, 14 (09)
  • [5] Clinical applications of machine learning in predicting 3D shapes of the human body: a systematic review
    Joyce Zhanzi Wang
    Jonathon Lillia
    Ashnil Kumar
    Paula Bray
    Jinman Kim
    Joshua Burns
    Tegan L. Cheng
    [J]. BMC Bioinformatics, 23
  • [6] Clinical applications of machine learning in predicting 3D shapes of the human body: a systematic review
    Wang, Joyce Zhanzi
    Lillia, Jonathon
    Kumar, Ashnil
    Bray, Paula
    Kim, Jinman
    Burns, Joshua
    Cheng, Tegan L.
    [J]. BMC BIOINFORMATICS, 2022, 23 (01)
  • [7] Clinical efficacy and effectiveness of 3D printing: a systematic review
    Diment, Laura E.
    Thompson, Mark S.
    Bergmann, Jeroen H. M.
    [J]. BMJ OPEN, 2017, 7 (12):
  • [8] 3D Human Body Models: Parametric and Generative Methods Review
    Garcia-D'Urso, Nahuel Emiliano
    Ramon Guevara, Pablo
    Azorin-Lopez, Jorge
    Fuster-Guillo, Andres
    [J]. ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2023, PT I, 2023, 14134 : 251 - 262
  • [9] Evidence Supporting Clinical Use of Proportional Assist Ventilation: A Systematic Review and Meta-Analysis of Clinical Trials
    Vijayaraghavan, Bharath Kumar Tirupakuzhi
    Hamed, Shatha
    Jain, Aditi
    Chimunda, Timothy
    Telias, Irene
    Friedrich, Jan O.
    Burns, Karen E. A.
    [J]. JOURNAL OF INTENSIVE CARE MEDICINE, 2020, 35 (07) : 627 - 635
  • [10] Clinical Use of Third-Generation 3D Imaging Systems in Endoscopic Surgery—a Systematic Review
    Jaime Vilaça
    José Moreira de Azevedo
    Hugo Cardoso Louro
    Jorge Correia Pinto
    Pedro Leão
    [J]. SN Comprehensive Clinical Medicine, 2021, 3 (3) : 879 - 896