Comparison of conventional cytomorphology, flow cytometry immunophenotyping, and automated cell counting of CSF for detection of CNS involvement in acute lymphoblastic leukemia.

BACKGROUND AND OBJECTIVE: Cytospin conventional cytomorphology (CCC) is the standard method for detecting lymphoblasts in cerebrospinal fluid (CSF) of patients with acute lymphoblastic leukemia (ALL) and for guiding treatment decisions. We evaluated flow cytometry immunophenotyping (FCI) performance for improving detection of central nervous system (CNS) involvement in ALL.

METHODS: This prospective study included analysis of consecutive CSF samples of patients of all ages with ALL at 3 clinical stages: new diagnosis, relapse suspicion, and after relapse treatment. Manual, cytospin, automated, and FCI methods were compared and their performance statistically assessed. Using FCI as the reference method, optimal CSF cutoff cell count that better correlated with presence of lymphoblasts was established by receiver operating characteristic (ROC) curve analysis.

RESULTS: Seventy-seven CSF samples were investigated, 35 (45.4%) from newly diagnosed cases, 30 (39%) suspicion of relapse, and 12 (15.6%) after treatment for relapse. Median manual WBC count in patients with CNS involvement detected by FCI was 3.75 cells/μL (0.0-1280), and this was also the count that best correlated with CNS infiltration (sensitivity, 50.0%; specificity, 82.2%). Compared with FCI, CCC sensitivity and specificity were 28.6% and 100%. Automated CSF WBC count in patients with CNS involvement detected by FCI was 5 (0.0-1578). For automated count, optimal WBC cutoff was 4.5 cells/μL (sensitivity, 62.5%; specificity, 70.5%).

CONCLUSION: Flow cytometry immunophenotyping complements conventional cytospin analysis for detection of lymphoblasts in the CSF of ALL patients at any clinical stage.