Functional assessment using 3D movement analysis can better predict health-related quality of life outcomes in patients with adult spinal deformity: A machine …

E Mekhael, R El Rachkidi, RM Saliby, N Nassim… - Frontiers in …, 2023 - frontiersin.org
Introduction Adult spinal deformity (ASD) is classically evaluated by health-related quality of
life (HRQoL) questionnaires and static radiographic spino-pelvic and global alignment …

Gait kinematic alterations in subjects with adult spinal deformity and their radiological determinants

G Kawkabani, RM Saliby, M Mekhael, R Rachkidi… - Gait & Posture, 2021 - Elsevier
Background Adults with spinal deformity (ASD) are known to have postural malalignment
affecting their quality of life. Classical evaluation and follow-up are usually based on full …

Future data points to implement in adult spinal deformity assessment for artificial intelligence modeling prediction: the importance of the biological dimension

S Haddad, J Pizones, R Raganato… - International Journal of …, 2023 - ijssurgery.com
Adult spinal deformity (ASD) surgery is still associated with high surgical risks. Machine
learning algorithms applied to multicenter databases have been created to predict outcomes …

The use of patient-reported preoperative activity levels as a stratification tool for short-term and long-term outcomes in patients with adult spinal deformity

M Raad, BJ Neuman, A Jain, H Hassanzadeh… - … of Neurosurgery: Spine, 2018 - thejns.org
OBJECTIVE Given the recent shift in health care toward quality reporting requirements and a
greater emphasis on a cost-quality approach, patient stratification with respect to long-term …

Performance on balance evaluation systems test (BESTest) impacts health-related quality of life in adult spinal deformity patients

L Moke, P Severijns, S Schelfaut, L Hermans… - Spine, 2018 - journals.lww.com
Study Design. Prospective single-center study. Objective. Study investigates how dynamic
balance performance complements 2D static radiographic measurements and …

Artificial intelligence models predict operative versus nonoperative management of patients with adult spinal deformity with 86% accuracy

WM Durand, AH Daniels, DK Hamilton, P Passias… - World neurosurgery, 2020 - Elsevier
Objective Patients with ASD show complex and highly variable disease. The decision to
manage patients operatively is largely subjective and varies based on surgeon training and …

[HTML][HTML] Predicting mechanical complications after adult spinal deformity operation using a machine learning based on modified global alignment and proportion …

SH Noh, HS Lee, GE Park, Y Ha, JY Park, SU Kuh… - Neurospine, 2023 - ncbi.nlm.nih.gov
Objective This study aimed to create an ideal machine learning model to predict mechanical
complications in adult spinal deformity (ASD) surgery based on GAPB (modified global …

functional mobility tests for evaluation of functionalities in patients with adult spinal deformity

HR Lee, J Park, DW Ham, BT Kwon, SJ Go… - BMC musculoskeletal …, 2022 - Springer
Study design Retrospective cohort study. Background Current evaluation of patients with
adult spinal deformity (ASD) is mainly based on radiographic parameters derived from X …

Alteration of the sitting and standing movement in adult spinal deformity

E Saad, K Semaan, G Kawkabani… - … in Bioengineering and …, 2022 - frontiersin.org
Adults with spinal deformity (ASD) are known to have spinal malalignment affecting their
quality of life and daily life activities. While walking kinematics were shown to be altered in …

Predicting clinical outcomes following surgical correction of adult spinal deformity

A Sharma, JE Tanenbaum, O Hogue, S Mehdi… - …, 2019 - journals.lww.com
BACKGROUND Deformity reconstruction surgery has been shown to improve quality of life
(QOL) in cases of adult spinal deformity (ASD) but is associated with significant morbidity …