Global Sagittal Angle and T9-tilt seem to be the most clinically and functionally relevant global alignment parameters in patients with Adult Spinal Deformity

被引:2
作者
Nassim, Nabil [1 ]
Mekhael, Elio [1 ]
El Rachkidi, Rami [1 ]
Saade, Maria [1 ]
Ayoub, Elma [1 ]
Rteil, Ali [1 ]
Jaber, Elena [1 ]
Chaaya, Celine [1 ]
Rehayem, Rami [1 ]
Nahed, Julien Abi [2 ]
Karam, Mohamad [1 ]
Ghanem, Ismat [1 ]
Massaad, Abir [1 ]
Assi, Ayman [1 ,3 ,4 ]
机构
[1] St Joseph Univ Beirut, Fac Med, Lab Biomech & Med Imaging, Beirut, Lebanon
[2] Hamad Med Corp, Technol Innovat Unit, Doha, Qatar
[3] Inst Biomecan Humaine Georges Charpak, Arts & Metiers, Paris, France
[4] Univ St Joseph, Fac Med, Lab Biomech & Med Imaging, Beirut, Lebanon
来源
BRAIN AND SPINE | 2024年 / 4卷
关键词
Adult spinal deformity; Machine learning; Radiographic analysis; Global alignment; 3D gait analysis; Health-related quality of life; RADIOGRAPHIC ANALYSIS; SHORT-FORM; SCOLIOSIS; BALANCE; SF-36;
D O I
10.1016/j.bas.2024.102805
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Introduction: Radiographic analysis is necessary for the assessment and the surgical planning in adults with spinal deformity (ASD). Restoration of global alignment is key to improving patient's quality of life. However, the large number of existing global alignment parameters can be confusing for surgeons. Research question: To determine the most clinically and functionally relevant global alignment parameters in ASD. Material and methods: ASD and controls underwent full body biplanar X-ray to calculate global alignment parameters: odontoid to hip axis angle (OD-HA), global sagittal angle (GSA), global tilt (GT), SVA, center of auditory meatus to hip axis (CAM-HA), SSA, T1-tilt and T9-tilt. All subjects filled HRQoL questionnaires: ODI, SF36, VAS for pain and BDI (Beck's Depression Inventory). 3D gait analysis was performed to calculate kinematic and spatio-temporal parameters. A machine learning model predicted gait parameters and HRQoL scores from global alignment parameters. Results: 124 primary ASD and 47 controls were enrolled. T9 tilt predicted the most BDI (31%), hip flexion/ extension during gait (36%), and double support time (39%). GSA predicted the most ODI (26%), thorax flexion/ extension during gait (33%), and cadence (36%). Discussion and conclusion: Among all global alignment parameters, GSA, evaluating both trunk shift and knee flexion, and T9 tilt, evaluating the shift of the center of mass, were the best predictors for most of HRQoL scores and gait kinematics. Therefore, we recommend using GSA and T9 tilt in clinical practice when evaluating ASD because they represent the most quality of life and functional kinematic of these patients.
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页数:8
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