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Cervical Myelopathy clinical trials

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NCT ID: NCT05099627 Not yet recruiting - Cervical Myelopathy Clinical Trials

Machine Learning Diagnosis and Prediction for Cervical Myelopathy

MCM
Start date: October 31, 2021
Phase:
Study type: Observational

DESIGN: Ambispective cohort study (retrospective + prospective). AIMS: The overall aim of this research study is to create two predictive machine learning models that are based on radiological, clinical and biochemical variables, which allows spine surgeons to diagnose CSM earlier and more accurately, as well as allowing them to give patients highly individualised and accurate predictive information regarding treatment outcomes. OUTCOME MEASURES: For the prospective arm of the study the independent variables will be patient characteristics, clinical, radiological and biochemical markers. Dependent variables are mJOA and JOACMEQ scores. For the retrospective arm of the study the independent variables will be patient characteristics, co-morbidities and symptomology, outcome variable will be radiological confirmation on cervical myelopathy. POPULATION: Patients with cervical myelopathy over 18 years old (19 years and above included), treated at Imperial College NHS Healthcare Trust for CM with full capacity to consent and assessed for cervical myelopathy symptoms at Community MSK Hounslow and Richmond Community Healthcare NHS Trust (catchment area of ICHT neurosurgery). ELIGIBILITY: Over 18 years old, with full capacity to consent. TREATMENT: Cervical myelopathy diagnosis and/or conservative and/or surgical management of disease DURATION: 18 months