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Studies in health technology and informatics · 2026

Side-Shift Therapy as Translation-Dominant 3D Auto-Correction in Adolescent Idiopathic Scoliosis: A Clinical-Mathematical Framework for Stratified PSSE.

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Betts Tony, Scoliosis Interest Group (SIG)

Аннотация

Adolescent idiopathic scoliosis (AIS) is a three-dimensional deformity characterised by coronal curvature, axial rotation, and altered trunk translation. Radiographic indices (e.g., Cobb angle) quantify structure but incompletely represent functional correctability, a core target of physiotherapeutic scoliosis-specific exercises (PSSE). Side-Shift Therapy (SST), originating from the RNOH tradition (Mehta, 1985) and operationalised via a mobility classification (Betts et al., 2014), is a voluntary lateral translation of the trunk relative to the pelvis (not a side-bend). This paper presents a biomechanics-first teaching framework linking functional spinal unit (FSU) mechanics, thoracic ring behaviour, motor control sequencing, and growth-modulation hypotheses. FSUs are modelled as 6-DOF systems with translation-rotation coupling; in simplified terms, Ktt represents resistance to translation and Ktr represents how rotation changes when translation is performed (short note: coupling = rotation response during translation). Load-path optimisation is framed via an apical bending moment approximation M ≈ Fg·dlat (dlat = lateral moment arm). Time-under-load is explained using viscoelastic forms where eta captures time-dependence. In growing spines, a Hueter-Volkmann-type simplification gdot = g0 - ksigma is used to describe stress-sensitive growth (k = stress sensitivity). Clinically, original mobility Types (1: beyond midline; 2: to midline; 3: cannot reach midline) are retained with reported substantial reliability (kappa ≈ 0.76-0.77). A multiplanar update adds transverse modifiers for Types 1-2: A (rotation reduces), B (rotation persists), C (rotation worsens), providing a pragmatic proxy for coupling behaviour and thoracic compliance. The framework supports stratified PSSE prescription and outlines testable targets for reliability, responsiveness, and predictive validity.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты