CT Air-trapping for the Early Identification of Benralizumab Responders Among Eosinophilic Asthma Patients — BenraliScan  

Asthma Clinical Trial

Official title: Computed Tomography Air-trapping Characterisation for the Early Identification of Benralizumab Responders Among Eosinophilic Asthma Patients

Status Completed

Clinical Trial Summary

BenraliScan aims to obtain thoracic computed tomography imaging data to predict the future level of patient response to a monoclonal antibody. Because the clinical responses under study can take many months to manifest, early identification of patients most-likely to benefit from treatment and treatment rule-out for others will save considerable time for everybody involved. The primary objective of BenraliScan is to determine the prognostic value (sensitivity, specificity, positive predictive value, negative predictive value) of air-trapping measures (Expiratory/Inspiratory ratios for Mean Lung Density (MLDe/i)) detected via quantitative thoracic computed tomography at baseline for improvement in exacerbation rate (the presence of a ≥50% reduction in baseline exacerbation rate versus the absence of a ≥50% reduction in baseline exacerbation rate) at 52 weeks among eosinophilic asthma patients treated with Benralizumab.

Clinical Trial Description

Secondary, exploratory objectives include: - To describe clinical improvement category sub-groups (e.g. non-responders versus strong responders) in terms of: target concomitant medication usage, symptomology, quality of life (questionnaires), exacerbation rates (and other adverse events) and lung function parameters, differential blood counts, serum club cell secretory protein (CCSP) levels, other quantitative thoracic computed tomography (QTCT) variables, sinus mucosal thickness. - To perform exploratory, prognostic-value studies (including but not limited to prognostic variables derived from changes occurring over 24 weeks and from clustering or factor mining at baseline and 24 weeks). These exploratory studies will include (but are not necessarily limited to) estimating the sensitivity/specificity of baseline/early imaging variables (or combination thereof) for predicting clinical response variables. - To describe the prognostic categories (e.g. predicted non-responder versus predicted responder) found in terms of: clinical improvement, target concomitant medication usage, symptomology, quality of life (questionnaires), exacerbation rates (and other adverse events) and lung function parameters, differential blood counts, serum CCSP levels, other QTCT variables, sinus mucosal thickness. - To create a centralised image library associated with the study. - To verify the reproducibility of the relationships found between mean lung density (upper and lower lung, inspiratory and expiratory), the fractal dimension of -850 HU segmentations, and clinical variables found during the SCANN'AIR study (NCT03102749). - To explore the association between bronchial homothety curves (the homothety of two consecutive bronchial measurements as a function of bronchial generation) and disease severity/progression. - To monitor patient safety throughout the study. ;

Related Conditions & MeSH terms

• Asthma
• Pulmonary Eosinophilia

• NCT number: NCT03976310
• Study type: Interventional
• Source: University Hospital, Montpellier
• Status: Completed
• Phase: N/A
• Start date: June 20, 2019
• Completion date: June 9, 2023