Computational assessment of measurable residual disease in acute myeloid leukemia using mixture models.

ABSTRACT:

Background

The proportion of residual leukemic blasts after chemotherapy assessed by multiparameter flow cytometry, is an important prognostic factor for the risk of relapse and overall survival in acute myeloid leukemia (AML). This measurable residual disease (MRD) is used in clinical trials to stratify patients for more or less intensive consolidation therapy. However, an objective and reproducible analysis method to assess MRD status from flow cytometry data is lacking, yet is highly anticipated for broader implementation of MRD testing.

Methods

We propose a computational pipeline based on Gaussian mixture modeling that allows a fully automated assessment of MRD status while remaining completely interpretable for clinical diagnostic experts. Our pipeline requires limited

SUBMITTER: Mocking TR 

PROVIDER: S-EPMC11659572 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature