Early-onset scoliosis (EOS) encompasses a wide variety of challenging to treat spinal deformities occurring in children before 10 years of age. The Classification of Early-Onset Scoliosis (C-EOS) has emerged as a useful classification for both clinical and research purposes, as have similar classifications of surgery and complications in the EOS population. Approaches to both nonsurgical and surgical management of EOS have changed dramatically in recent years. There has been a resurgence of interest in nonsurgical management of EOS following several reports of success with serial Mehta cast treatment. Distraction-based surgical approaches, whether rib- or spine-based, remain the mainstay of surgical treatment. The introduction and widespread adoption of magnetically controlled growing rods (MCGR) has altered the need for repeat surgeries for lengthening in distraction based surgery. However, it remains unclear whether overall complication and unplanned revision surgery rates will be improved over historical traditional growing rods or rib-based distraction. Conversion of growth-friendly instrumentation to a final fusion remains a challenging procedure, with high rates of complications and revision surgeries.

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Machine learning analysis of cervical balance in early-onset scoliosis post-growing rod surgery: a case-control study.

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Department of Orthopedic Surgery, Beijing Chao-Yang Hospital, Capital Medical University, GongTiNanLu 8#, Chaoyang District, Beijing, 100020, China.

We aimed to analyze the cervical sagittal alignment change following the growing rod treatment in early-onset scoliosis (EOS) and identify the risk factors of sagittal cervical imbalance after growing-rod surgery of machine learning. EOS patients from our centre between 2007 and 2019 were retrospectively reviewed. Radiographic parameters include the cervical lordosis (CL), T1 slope, C2-C7 sagittal vertical axis (C2-7 SVA), primary curve Cobb angle, thoracic kyphosis (TK), C7-S1 sagittal vertical axis (C7-S1 SVA) and proximal junctional angle (PJA) were evaluated preoperatively, postoperatively and at the final follow-up.

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A Novel Dynamic Growth Rod Inducing Spinal Growth Modulation for the Correction of Spinal Deformities.

JOR Spine

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Beijing Key Laboratory for Design and Evaluation Technology of Advanced Implantable & Interventional Medical Devices, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering Beihang University Beijing China.

Background: Growth rods are the gold standard for treating early-onset scoliosis (EOS). However, current treatments with growth rods do not optimize spinal growth in EOS patients, and frequent distraction surgeries significantly increase complications, imposing considerable economic and psychological burdens on patients. An improved growth rod is urgently required to address the need for dynamic growth and external regulation.

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Purpose: The etiology of early-onset scoliosis (EOS) has been shown to significantly influence baseline parent-reported health-related quality of life (HrQOL). In combining these etiology groups, we obligatorily lump together many disparate diagnoses, particularly true in the neuromuscular (NM) cohort. We sought to evaluate the influence of underlying neuromuscular diagnosis on the HrQOL at 5 years following surgery for EOS.

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Severe early-onset scoliosis (EOS) can be addressed by different growth-friendly approaches, although the indications of each technique remain controversial. The aim of this study was to compare, in a large series of patients, the potential and limitations of the different distraction-based surgical techniques to establish the most suitable surgical approach to treat EOS. We conducted a retrospective observational cohort study evaluating 62 EOS cases treated between January 2002 and December 2021 with a traditional growing rod (TGR), a magnetically controlled growing rod (MCGR) and vertical expandable prosthesis titanium ribs (VEPTR) at IRCSS Istituto Ortopedico Rizzoli, Bologna, Italy.

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Objective: Early-Onset Scoliosis Self-Report Questionnaire (EOSQ-SELF) is a recently developed self-reported questionnaire based on the widely adopted Early-Onset Scoliosis Questionnaire and evaluates health-related quality of life in children with early-onset scoliosis over 8 years of age. To date, the questionnaire does not have a validated version in Turkish. The aim of this study was to translate EOSQ-SELF into Turkish and evaluate its reliability and validity.

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