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Automated vs Manual Flow-cytometry Gating for Measurable Residual Disease in Acute Myeloid Leukaemia (DUALFLOW)
Sponsor: University Hospital, Bordeaux
Summary
This retrospective multicentre cohort evaluates the agreement of measurable residual disease (MRD) detection in acute myeloid leukaemia (AML) using two flow-cytometry gating approaches. Manual expert gating is compared with an unsupervised FlowSOM clustering algorithm across post-induction and post-consolidation samples from 50 adults and 10 paediatric patients treated at Bordeaux University Hospital. The primary hypothesis states that unsupervised gating detects MRD ≥ 0.1 % with sensitivity and specificity comparable to manual gating.
Official title: Multicenter Retrospective Cohort Assessing Concordance Between Manual Gating and Unsupervised FlowSOM Gating for Minimal Residual Disease Detection by Multiparameter Flow Cytometry in Adult and Paediatric Acute Myeloid Leukaemia
Key Details
Gender
All
Age Range
Any - Any
Study Type
OBSERVATIONAL
Enrollment
60
Start Date
2026-01
Completion Date
2027-07
Last Updated
2025-12-08
Healthy Volunteers
No
Conditions
Interventions
Conventional gating
Manual expert gating of multiparameter flow-cytometry data for MRD
Automated gating
Unsupervised FlowSOM gating of multiparameter flow-cytometry data for MRD