Predicting postoperative gait in cerebral palsy
Autor: | Bernadette Dorizzi, A C Omar Galarraga, Eric Desailly, N. Khouri, Vincent Vigneron |
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Přispěvatelé: | Informatique, Biologie Intégrative et Systèmes Complexes (IBISC), Université d'Évry-Val-d'Essonne (UEVE), UNAM, Fondation Ellen Poidatz, Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Centre National de la Recherche Scientifique (CNRS), CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Informatique, Biologie Intégrative et Systèmes Complexes ( IBISC ), Université d'Évry-Val-d'Essonne ( UEVE ), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux ( SAMOVAR ), Institut Mines-Télécom [Paris]-Télécom SudParis ( TSP ) -Centre National de la Recherche Scientifique ( CNRS ) |
Rok vydání: | 2017 |
Předmět: |
Male
medicine.medical_specialty Adolescent Biophysics Physical examination [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing Kinematics Single-event multilevel surgery Cerebral palsy Clinical gait analysis Machine Learning 03 medical and health sciences 0302 clinical medicine Outcome Assessment Health Care Preoperative Care Humans Medicine Orthopedic Procedures Orthopedics and Sports Medicine Child Physical Examination Gait Disorders Neurologic Retrospective Studies Orthodontics Principal Component Analysis medicine.diagnostic_test business.industry Cerebral Palsy Rehabilitation Outcome prediction 030229 sport sciences medicine.disease Gait Confidence interval Sagittal plane Biomechanical Phenomena Transverse plane medicine.anatomical_structure Lower Extremity Coronal plane Linear Models Physical therapy Female business [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Algorithms 030217 neurology & neurosurgery |
Zdroj: | Gait & Posture Gait & Posture, 2017, 52, pp.45--51. ⟨10.1016/j.gaitpost.2016.11.012⟩ Gait and Posture Gait and Posture, Elsevier, 2017, 52, pp.45--51. ⟨10.1016/j.gaitpost.2016.11.012⟩ Gait and Posture, Elsevier, 2017, 52, pp.45--51. 〈10.1016/j.gaitpost.2016.11.012〉 |
ISSN: | 0966-6362 1879-2219 |
Popis: | International audience; In this work, postoperative lower limb kinematics are predicted with respect to preoperative kinematics, physical examination and surgery data. Data of 115 children with cerebral palsy that have undergone single-event multilevel surgery were considered. Preoperative data dimension was reduced utilizing principal component analysis. Then, multiple linear regressions with 80% confidence intervals were performed between postoperative kinematics and bilateral preoperative kinematics, 36 physical examination variables and combinations of 9 different surgical procedures. The mean prediction errors on test vary from 4° (pelvic obliquity and hip adduction) to 10° (hip rotation and foot progression), depending on the kinematic angle. The unilateral mean sizes of the confidence intervals vary from 5° to 15°. Frontal plane angles are predicted with the lowest errors, however the same performance is achieved when considering the postoperative average signals. Sagittal plane angles are better predicted than transverse plane angles, with statistical differences with respect to the average postoperative kinematics for both plane's angles except for ankle dorsiflexion. The mean prediction errors are smaller than the variability of gait parameters in cerebral palsy. The performance of the system is independent of the preoperative state severity of the patient. Even if the system is not yet accurate enough to define a surgery plan, it shows an unbiased estimation of the most likely outcome, which can be useful for both the clinician and the patient. More patients’ data are necessary for improving the precision of the model in order to predict the kinematic outcome of a large number of possible surgeries and gait patterns. |
Databáze: | OpenAIRE |
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