Pre-collapse femoral head necrosis treated by hip abduction : a computational biomechanical analysis
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Detail(s)
Original language | English |
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Article number | 8 |
Journal / Publication | Health Information Science and Systems |
Volume | 10 |
Online published | 14 May 2022 |
Publication status | Published - 2022 |
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DOI | DOI |
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Attachment(s) | Documents
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85130643907&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(d5537d12-2326-4ed5-b06d-206d8edc5459).html |
Abstract
Background and objective: Clinical studies indicated that femoral head collapse (FHC) occurs in 90% of patients without intervention within five years after the diagnosis of femoral head necrosis (FHN). The management of the FHN is still a great challenging task. Clinical studies indicated that hip abduction as physical therapy represents an effective hip preservation method. However, the mechanism is unclear. In this study, we use computational biomechanical technology to investigate mechanical response in FHN patients with hip abduction and establish guide protocols for FHN rehabilitation.
Materials and methods: Thirty computational models were constructed for evaluating the safety of hip abduction and comparing the biomechanical performance of hip abduction for the treatment of different necrotic classifications. The distribution of principal compressive stress (PCS) and load share ratio (LSR) were computed and used for biomechanical evaluation.
Results: Before the start of physical therapy, when the size of necrotic segment is increased and located more laterally, the damage area of PCS enlarged and LSR of subchondral cortical to trabecular bone increased. As the increase of hip abduction angle, PCS of Type B transformed into Type A, PCS of Type C1 transformed into Type B, PCS of Type C2 transformed into Type C1; Except Type C2, the LSR return to normal level.
Discussion and conclusion: Stress transfer damaged pattern correlated significantly with necrotic classification. Hip abduction motions effectively enlarge the area of PCS and recover the LSR of different structures by altering motion posture during gait. The results indicated that hip abduction may be an effective physical therapy in improving hip function and interrupt the disease pathway of FHC and THA.
Materials and methods: Thirty computational models were constructed for evaluating the safety of hip abduction and comparing the biomechanical performance of hip abduction for the treatment of different necrotic classifications. The distribution of principal compressive stress (PCS) and load share ratio (LSR) were computed and used for biomechanical evaluation.
Results: Before the start of physical therapy, when the size of necrotic segment is increased and located more laterally, the damage area of PCS enlarged and LSR of subchondral cortical to trabecular bone increased. As the increase of hip abduction angle, PCS of Type B transformed into Type A, PCS of Type C1 transformed into Type B, PCS of Type C2 transformed into Type C1; Except Type C2, the LSR return to normal level.
Discussion and conclusion: Stress transfer damaged pattern correlated significantly with necrotic classification. Hip abduction motions effectively enlarge the area of PCS and recover the LSR of different structures by altering motion posture during gait. The results indicated that hip abduction may be an effective physical therapy in improving hip function and interrupt the disease pathway of FHC and THA.
Research Area(s)
- Hip abduction, Stress transfer pattern, Load share ratio, Computational biomechanics, Parametric analysis, Computational models, HUMAN PROXIMAL FEMUR, CORE DECOMPRESSION, AVASCULAR NECROSIS, PHYSICAL-THERAPY, EXERCISE THERAPY, OSTEONECROSIS, OSTEOARTHRITIS
Citation Format(s)
Pre-collapse femoral head necrosis treated by hip abduction: a computational biomechanical analysis. / Li, Shaochi; Liu, Yan; Zhou, Guangquan et al.
In: Health Information Science and Systems, Vol. 10, 8, 2022.
In: Health Information Science and Systems, Vol. 10, 8, 2022.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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