Validation of a patient-specific finite element analysis framework for identification of growing rod-failure regions in early onset scoliosis patients

被引:1
|
作者
Jayaswal, Daksh [1 ]
Kodigudla, Manoj [1 ]
Kelkar, Amey [1 ]
Goel, Vijay [1 ]
Palepu, Vivek [2 ]
机构
[1] Univ Toledo, Engn Ctr Orthopaed Res Excellence E CORE, Dept Bioengn & Orthopaed Surg, 2801 West Bancroft St, Toledo, OH 43606 USA
[2] US FDA, Div Appl Mech, Office Sci & Engn Lab, Ctr Devices & Radiol Hlth, 10903 New Hampshire Ave,Bldg WO 62-2225, Silver Spring, MD 20993 USA
关键词
Biomechanics; Growing rods; Early onset scoliosis; Finite element analysis; Patient-specific modeling; Rod failures; BONE-SCREW FORCES; PEDICLE SCREW; MODELS; SPINE; COMPLICATIONS;
D O I
10.1007/s43390-024-00846-7
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Purpose Growing rods are the gold-standard for treatment of early onset scoliosis (EOS). However, these implanted rods experience frequent fractures, requiring additional surgery. A recent study by the U.S. Food and Drug Administration (FDA) identified four common rod fracture locations. Leveraging this data, Agarwal et al. were able to correlate these fractures to high-stress regions using a novel finite element analysis (FEA) framework for one patient. The current study aims to further validate this framework through FEA modeling extended to multiple patients.Methods Three patient-specific FEA models were developed to match the pre-operative patient data taken from both registry and biplanar radiographs. The surgical procedure was then simulated to match the post-operative deformity. Body weight and flexion bending (1 Nm) loads were then applied and the output stress data on the rods were analyzed.Results Radiographic data showed fracture locations at the mid-construct, adjacent to the distal and tandem connector across the patients. Stress analysis from the FEA showed these failure locations matched local high-stress regions for all fractures observed. These results qualitatively validate the efficacy of the FEA framework by showing a decent correlation between localized high-stress regions and the actual fracture sites in the patients.Conclusions This patient-specific, in-silico framework has huge potential to be used as a surgical tool to predict sites prone to fracture in growing rod implants. This prospective information would therefore be vital for surgical planning, besides helping optimize implant design for reducing rod failures.
引用
收藏
页码:941 / 952
页数:12
相关论文
共 12 条
  • [1] Finite Element Comparison of the Spring Distraction System and the Traditional Growing Rod for the Treatment of Early Onset Scoliosis
    Lemans, Justin V. C.
    Kodigudla, Manoj K.
    Kelkar, Amey, V
    Jayaswal, Daksh
    Castelein, Rene M.
    Kruyt, Moyo C.
    Goel, Vijay K.
    Agarwal, Aakash
    SPINE, 2022, 47 (10) : E456 - E465
  • [2] The application of finite element analysis to determine the optimal UIV of growing-rod treatment in early-onset scoliosis
    Pan, Aixing
    Ding, Hongtao
    Wang, Junjie
    Zhang, Zhuo
    Zhang, Hongbo
    Liu, Yuzeng
    Hai, Yong
    FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2022, 10
  • [3] Validation of patient-specific flatfoot models on finite element analysis
    Kobayashi, Yumiko
    Ikoma, Kazuya
    Maki, Masahiro
    Imai, Kan
    Kido, Masamitsu
    Okubo, Naoki
    Sotozono, Yasutaka
    Wang, Zhongkui
    Hirai, Shinichi
    Tanaka, Masaki
    Takahashi, Kenji
    COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 2024,
  • [4] Effects of Growing Rod Technique with Different Surgical Modes and Growth Phases on the Treatment Outcome of Early Onset Scoliosis: A 3-D Finite Element Analysis
    Pei, Baoqing
    Lu, Da
    Wu, Xueqing
    Xu, Yangyang
    Ma, Chenghao
    Wu, Shuqin
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (04)
  • [5] Automatic generation and validation of patient-specific finite element head models suitable for crashworthiness analysis
    Ho, Johnson
    von Holst, Hans
    Kleiven, Svein
    INTERNATIONAL JOURNAL OF CRASHWORTHINESS, 2009, 14 (06) : 555 - 563
  • [6] Patient-specific finite element analysis of the human femur-A double-blinded biomechanical validation
    Trabelsi, Nir
    Yosibash, Zohar
    Wutte, Christof
    Augat, Peter
    Eberle, Sebastian
    JOURNAL OF BIOMECHANICS, 2011, 44 (09) : 1666 - 1672
  • [7] Experimental validation of 3D printed patient-specific implants using digital image correlation and finite element analysis
    Sutradhar, Alok
    Park, Jaejong
    Carrau, Diana
    Miller, Michael J.
    COMPUTERS IN BIOLOGY AND MEDICINE, 2014, 52 : 8 - 17
  • [8] Patient-specific finite element analysis of heart failure and the impact of surgical intervention in pulmonary hypertension secondary to mitral valve disease
    Heidari, Alireza
    Elkhodary, Khalil, I
    Pop, Cristina
    Badran, Mohamed
    Vali, Hojatollah
    Abdel-Raouf, Yousof M. A.
    Torbati, Saeed
    Asgharian, Masoud
    Steele, Russell J.
    Kani, Iradj Mahmoudzadeh
    Sheibani, Sara
    Pouraliakbar, Hamidreza
    Sadeghian, Hakimeh
    Cecere, Renzo
    Friedrich, Matthias G. W.
    Tafti, Hossein Ahmadi
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2022, 60 (06) : 1723 - 1744
  • [9] Patient-specific finite element analysis of heart failure and the impact of surgical intervention in pulmonary hypertension secondary to mitral valve disease
    Alireza Heidari
    Khalil I. Elkhodary
    Cristina Pop
    Mohamed Badran
    Hojatollah Vali
    Yousof M. A. Abdel-Raouf
    Saeed Torbati
    Masoud Asgharian
    Russell J. Steele
    Iradj Mahmoudzadeh Kani
    Sara Sheibani
    Hamidreza Pouraliakbar
    Hakimeh Sadeghian
    Renzo Cecere
    Matthias G. W. Friedrich
    Hossein Ahmadi Tafti
    Medical & Biological Engineering & Computing, 2022, 60 : 1723 - 1744
  • [10] Factors Related to Proximal Junctional Kyphosis and Device Failure in Patients with Early-Onset Scoliosis Treated with a Traditional Dual Growing Rod: A Single Institution Study
    Chehrassan, Mohammadreza
    Nikouei, Farshad
    Shakeri, Mohammadreza
    Moeini, Javad
    Jafari, Behnam
    Mahabadi, Ebrahim Ameri
    Ghandhari, Hasan
    ASIAN SPINE JOURNAL, 2024, 18 (02) : 236 - 243