Login / Signup

Methodological and conceptual challenges to the flow cytometric classification of leukemic lymphoproliferative disorders.

Nadia GüellPablo MozasAlba Jimenez-RuedaMilos D MiljkovicJordi JuncàMarc Sorigue
Published in: Critical reviews in clinical laboratory sciences (2022)
The diagnosis of leukemic B-cell lymphoproliferative disorders (B-LPDs) is made by integrating clinical, cytological, cytometric, cytogenetic, and molecular data. This leaves room for differences and inconsistencies between experts. In this study, we examine methodological and conceptual aspects of the flow cytometric classification of leukemic B-LPDs that could explain them. Among methodological aspects, we discuss (1) the different statistical tests used to select and evaluate markers, (2) how these markers are analyzed, (3) how scores are interpreted, (4) different degrees to which diagnostic information is used, and (5) and the impact of differences in study populations. Among conceptual aspects, we discuss (1) challenges to integrating different biological data points, (2) the under examination of the costs of misclassification (false positives and false negatives), and finally, (3) we delve into the impact of the lack of a true diagnostic gold standard and the indirect evidence suggesting poor reproducibility in the diagnosis of leukemic B-LPDs. We then outline current harmonization efforts and our personal approach. We conclude that numerous flow cytometry scores and diagnostic systems are now available; however, as long as the considerations discussed remain unaddressed, external reproducibility and interobserver agreement will not be achieved, and the field will not be able to move forward if a true gold standard is not found.
Keyphrases
  • acute myeloid leukemia
  • flow cytometry
  • machine learning
  • deep learning
  • epstein barr virus
  • electronic health record
  • big data
  • data analysis
  • essential oil