Validation of the RADIAL Algorithm for Diagnosis of Autosomal Recessive Cerebellar Ataxia

Recruiting now · Not applicable

Conditions studied: Autosomal Recessive Cerebellar Ataxia

In brief

RADIAL is an algorithm which has been developed following a review of the literature on 67 autosomal recessive cerebellar ataxias (ARCA) and personal clinical experience. Frequency and specificity of each feature were defined for each autosomal recessive cerebellar ataxia, and corresponding prediction scores were assigned. Clinical and paraclinical features of patients are entered into the algorithm, and a patient's total score for each ARCA is calculated, producing a ranking of possible diagnoses. Sensitivity and specificity of the algorithm were assessed by blinded analysis of a multinational cohort of 834 patients with molecularly confirmed autosomal recessive cerebellar ataxia. The performance of the algorithm was assessed versus a blinded panel of autosomal recessive cerebellar ataxia experts. The correct diagnosis was ranked within the top 3 highest-scoring diagnoses at a sensitivity and specificity of \>90% for 84% and 91% of the evaluated genes, respectively. Mean sensitivity and specificity of the top 3 highest-scoring diagnoses were 92% and 95%, respectively. Our aim is now to validate in a prospective cohort of ARCA, the performance of RADIAL to predict the correct genetic diagnosis.

Key facts

Study ID
NCT04261127
Run by
University Hospital, Strasbourg, France
People needed
400
Starts
2021-09-20
Expected to finish
2029-09-01
Last updated by the study team
2025-08-27

Who can join

Age: 5 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.