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Automated vs Manual Flow-cytometry Gating for Measurable Residual Disease in Acute Myeloid Leukaemia (DUALFLOW)

University Hospital, Bordeaux · 2026
ClinicalTrials.gov · Datasets · License: Public Domain · 2026
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acuteacute-myeloid-leukemiaflow-cytometryleukemiamachine-learningmyeloid
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.
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