[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100635696":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":21,"centralContacts":26,"locations":34,"responsibleParty":51,"collaborators":54,"id":58,"slug":59,"hasResults":60,"nctId":61,"briefTitle":62,"officialTitle":63,"acronym":20,"eligibilityCriteria":64,"healthyVolunteers":60,"sex":65,"minAge":66,"maxAge":67,"enrollmentInfo":68,"targetDuration":20,"studyType":71,"phases":72,"briefSummary":74,"conditions":75,"keywords":77,"overallStatus":36,"whyStopped":20,"lastUpdateSubmitDate":82,"lastUpdatePostDateStruct":83,"startDateStruct":86,"completionDateStruct":88,"leadSponsor":90,"locationsCount":91},{"fullName":5,"class":6},"Istanbul University","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Core Stabilization Exercise Group","EXPERIMENTAL","Participants in this arm are adolescents with idiopathic scoliosis who receive a standardized core stabilization exercise program as part of routine physiotherapy care. The intervention is applied for 12 weeks.\n\nAll participants undergo clinical and functional assessments before and after the intervention, including radiographic evaluation of Cobb angle and other scoliosis-related parameters such as trunk rotation, muscle strength, balance, and respiratory muscle function.\n\nThe purpose of this arm is not to compare different treatments, but to generate and validate a machine learning model for predicting post-intervention disease progression based on pre- and post-treatment clinical data.",[13],"Behavioral: Core Stabilization Exercise",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":20},"BEHAVIORAL","Core Stabilization Exercise","weeks. The exercise program focuses on improving trunk muscle control, postural stability, and spinal alignment.\n\nThe intervention is delivered as part of routine physiotherapy care. Participants perform exercises targeting deep trunk stabilizers, including abdominal, paraspinal, and pelvic musculature. Exercise progression is based on patient tolerance and clinical evaluation.\n\nClinical and radiological assessments are performed before and after the intervention, including Cobb angle measurement and functional evaluations such as muscle strength, balance, respiratory muscle strength, and trunk rotation.",[9],null,[22],{"name":23,"affiliation":24,"role":25},"Fuat Gökdemir","Bezmialem Vakif University","PRINCIPAL_INVESTIGATOR",[27,31],{"name":23,"role":28,"phone":29,"phoneExt":20,"email":30},"CONTACT","+90 212 401 26 00","fuatgokdemir95@gmail.com",{"name":32,"role":28,"phone":29,"phoneExt":20,"email":33},"Ayse Manzak Dursun","amanzak@bezmialem.edu.tr",[35],{"facility":24,"status":36,"city":37,"state":38,"zip":39,"country":40,"countryCode":20,"cosmosGeoPoint":41,"geoPoint":46,"contacts":47},"RECRUITING","Istanbul","Eyupsultan","34060","Turkey (Türkiye)",{"type":42,"coordinates":43},"Point",[44,45],28.94966,41.01384,{"lat":45,"lon":44},[48,49],{"name":23,"role":28,"phone":20,"phoneExt":20,"email":30},{"name":50,"role":28,"phone":20,"phoneExt":20,"email":33},"Ayse Sena Manzak Dursun",{"type":25,"investigatorFullName":52,"investigatorTitle":53,"investigatorAffiliation":24,"oldNameTitle":20,"oldOrganization":20},"Fuat Gokdemir","Research Assistant",[55,56],{"name":24,"class":6},{"name":57,"class":6},"Uskudar University","100635696","machine-learning-prediction-of-disease-progression-in-adolescent-idiopathic-scoliosis-100635696",false,"NCT07556042","Machine Learning Prediction of Disease Progression in Adolescent Idiopathic Scoliosis","Machine Learning-Based Prediction of Disease Progression in Adolescent Idiopathic Scoliosis Following Core Stabilization Exercise: A Retrospective Model Development and Prospective Validation Study","Inclusion Criteria:\n\n* being between the ages of 10 and 18\n* having a Cobb angle between 10 and 40 degrees\n* not receiving any other exercise treatment (scoliosis-specific exercises, etc.) from a different center that would affect the patient's scoliosis\n\nExclusion Criteria:\n\n* history of scoliosis surgery\n* patients who had undergone any type of surgical procedure within the last 3 months were excluded\n* orthopedic, neurological, or systemic diseases that would hinder exercise\n* Intellectual, behavioral, or communication disorders affecting understanding of instructions or exercise performance, or participation in any exercise","ALL","10 Years","18 Years",{"count":69,"type":70},30,"ESTIMATED","INTERVENTIONAL",[73],"NA","Background and Problem Overview Adolescent Idiopathic Scoliosis (AIS) is a progressive musculoskeletal disorder characterized by a three-dimensional deformation of the spine occurring during adolescence. Diagnosis is typically established with a Cobb angle exceeding 10° and the presence of axial rotation. While the exact etiology remains unknown, leading theories include tissue abnormalities (muscle fibers, bone volume), impaired spinal biomechanics (asymmetric bone growth), and neurological factors (asymmetric cortical thickness, cerebral lateralization, and body schema distortions).\n\nThe progressive nature of AIS, particularly the high risk of advancement at the onset of puberty, complicates clinical decision-making. Treatment is traditionally divided into three stages:\n\nObservation and Exercise: For Cobb angles between 10°-25°.\n\nExercise and Bracing: For Cobb angles between 25°-45°.\n\nSurgery: For Cobb angles exceeding 45°.\n\nDespite these guidelines, the unpredictable progression of the disease and difficulties in treatment adherence create significant dilemmas. Specifically, for cases on the borderline of surgical indication, clinicians face the challenge of choosing between immediate surgery or conservative monitoring. Currently, there is no definitive method to predict progression, and patients are typically monitored in 6-month intervals. During these intervals, a patient's condition may remain stable or deteriorate significantly.\n\nFurthermore, guidelines recommend wearing a brace for an average of 18 hours per day, often for several years. This requirement is physically and psychologically demanding for adolescents, leading to poor compliance due to aesthetic concerns, functional limitations, and skin irritation. The inability to predict progression often leads to overtreatment (unnecessary bracing) or undertreatment (delayed intervention), both of which pose risks to the patient's long-term health.\n\nRadiological Concerns Disease progression is monitored via direct radiography (X-rays). However, frequent imaging increases the lifetime risk of cancer due to cumulative ionizing radiation. Notably, the risk of breast cancer in girls with AIS is reported to be approximately seven times higher than in the healthy population. Conversely, extending follow-up intervals risks missing windows for early intervention. An artificial intelligence (AI) model capable of predicting curve progression could optimize imaging frequency, ensuring safety while maintaining clinical efficacy.\n\nObjective and Methodology of the Study\n\nThe primary aim of this research is to develop a machine learning-based model to predict the Cobb angle following a 12-week exercise intervention. The model will utilize comprehensive baseline and post-treatment data, including:\n\nDemographic and Anthropometric Data (Age, height, weight, gender).\n\nClinical Assessments (Cobb angle, Risser score, angle of trunk rotation).\n\nFunctional and Physical Metrics (Trunk muscle strength, Maximal Inspiratory and Expiratory Pressure \\[MIP\u002FMEP\\], Biodex balance measurements).\n\nVisual Assessments (Walter Reed Visual Deformity Scale \\[WRVAS\\]).\n\nResearch Hypotheses\n\nPrimary Hypothesis: A machine learning model trained on pre- and post-exercise assessment data can significantly predict the Cobb angle at the end of a 12-week period with both statistical and clinical accuracy.\n\nSecondary Hypothesis: By predicting the risk of progression (the probability of an increase in Cobb angle), this model will contribute to reducing unnecessary surgical interventions, overtreatment (bracing\u002Fsurgery), and cumulative X-ray exposure.",[76],"Adolescence Idiopathic Scoliosis",[78,79,80,81],"scoliosis","exercise therapy","machine learning","Artificial Intelligence","2026-04-22",{"date":84,"type":85},"2026-04-29","ACTUAL",{"date":87,"type":85},"2026-04-20",{"date":89,"type":70},"2026-09-12",{"name":5,"class":6},1]