» Articles » PMID: 36829749

Gait Analysis to Monitor Fracture Healing of the Lower Leg

Overview
Date 2023 Feb 25
PMID 36829749
Authors
Affiliations
Soon will be listed here.
Abstract

Fracture healing is typically monitored by infrequent radiographs. Radiographs come at the cost of radiation exposure and reflect fracture healing with a time lag due to delayed fracture mineralization following increases in stiffness. Since union problems frequently occur after fractures, better and timelier methods to monitor the healing process are required. In this review, we provide an overview of the changes in gait parameters following lower leg fractures to investigate whether gait analysis can be used to monitor fracture healing. Studies assessing gait after lower leg fractures that were treated either surgically or conservatively were included. Spatiotemporal gait parameters, kinematics, kinetics, and pedography showed improvements in the gait pattern throughout the healing process of lower leg fractures. Especially gait speed and asymmetry measures have a high potential to monitor fracture healing. Pedographic measurements showed differences in gait between patients with and without union. No literature was available for other gait measures, but it is expected that further parameters reflect progress in bone healing. In conclusion, gait analysis seems to be a valuable tool for monitoring the healing process and predicting the occurrence of non-union of lower leg fractures.

Citing Articles

The walking surface influences vertical ground reaction force and centre of pressure data obtained with pressure-sensing insoles.

Warmerdam E, Burger L, Mergen D, Orth M, Pohlemann T, Ganse B Front Digit Health. 2024; 6:1476335.

PMID: 39583997 PMC: 11582027. DOI: 10.3389/fdgth.2024.1476335.


Longitudinal weight and plantar pressure distribution while standing after tibial or malleolar fractures in patients with or without fracture union.

Warmerdam E, Baumgartner S, Pohlemann T, Ganse B Sci Rep. 2024; 14(1):25117.

PMID: 39443550 PMC: 11499907. DOI: 10.1038/s41598-024-75732-3.


The predictive value of stress-induced hyperglycemia parameters for delayed healing after tibial fracture post-surgery.

Ji X, Zhao D, Xin Z, Feng H, Huang Z J Orthop Surg Res. 2024; 19(1):666.

PMID: 39415173 PMC: 11484393. DOI: 10.1186/s13018-024-05138-4.


Advanced Engineering Technology in Orthopedic Research.

Cheng R, Wang H, Cheng C Bioengineering (Basel). 2024; 11(9).

PMID: 39329667 PMC: 11440107. DOI: 10.3390/bioengineering11090925.


Methods to quantify gait rehabilitation following lower limb fractures.

Raza A, Mahmood I, Sultana T MethodsX. 2024; 13:102894.

PMID: 39233748 PMC: 11372867. DOI: 10.1016/j.mex.2024.102894.


References
1.
Falzarano G, Pica G, Medici A, Rollo G, Bisaccia M, Cioffi R . Foot Loading and Gait Analysis Evaluation of Nonarticular Tibial Pilon Fracture: A Comparison of Three Surgical Techniques. J Foot Ankle Surg. 2018; 57(5):894-898. DOI: 10.1053/j.jfas.2018.03.025. View

2.
Wang R, Thur C, Gutierrez-Farewik E, Wretenberg P, Brostrom E . One year follow-up after operative ankle fractures: a prospective gait analysis study with a multi-segment foot model. Gait Posture. 2009; 31(2):234-40. DOI: 10.1016/j.gaitpost.2009.10.012. View

3.
Ledet E, Liddle B, Kradinova K, Harper S . Smart implants in orthopedic surgery, improving patient outcomes: a review. Innov Entrep Health. 2018; 5:41-51. PMC: 6145822. DOI: 10.2147/IEH.S133518. View

4.
Kanko R, Laende E, Selbie W, Deluzio K . Inter-session repeatability of markerless motion capture gait kinematics. J Biomech. 2021; 121:110422. DOI: 10.1016/j.jbiomech.2021.110422. View

5.
Fandriks A, Tranberg R, Karlsson J, Moller M, Zugner R . Gait biomechanics in patients with intra-articular tibial plateau fractures - gait analysis at three months compared with age- and gender-matched healthy subjects. BMC Musculoskelet Disord. 2021; 22(1):702. PMC: 8369713. DOI: 10.1186/s12891-021-04577-y. View