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.
Confirmed diagnosis of acute myeloid leukaemia per ELN 2022
Age ≥ 18 years (adult cohort) or 0-20 years (paediatric cohort)
Inclusion in DATAML Bordeaux database or paediatric haemato-oncology records
Available flow-cytometry MRD data post-induction and post-consolidation 1
AML subtypes M3, M6 or M7
Acute leukaemia of ambiguous lineage
Missing or unusable flow-cytometry files for required time points