Table 1.
Method | Sensitivity | Advantages | Disadvantages | References |
---|---|---|---|---|
Flow cytometry FC-LAIP (Leukemia-Associated Immunophenotypes) |
10−3 to 10−5 | Sensitivity Applicability to >90% of patients Rapid turnaround time Available technique through laboratories Can distinguish between live and dead cells |
Experienced staff needed for proper interpretation Need for standardization Stability of the leukemic phenotype missing Diagnostic pretreatment sample needed Extended antibody panel needed Sensitivity depends on the antibody used |
Brooimans 2019 [12] Maurer-Granofszky 2021 [13] [Wood 2016] [14] |
Flow cytometry FC-DfN (Different from Normal) |
10−3 to 10−5 | Sensitivity Applicability to >90% of patients Diagnostic sample not required Phenotypic shifts do not affect the results Rapid turn-around time Can distinguish between live and dead cells |
Need for standardization Experienced staff needed to operate the process, subjectivity in the definition of population Sensitivity depends on the antibody used |
Schuurhuis 2018 [9] Maurer-Granofszky 2021 [13] Wood 2020 [15] |
−19NGS | 10−3 to 10−5 | Limited applicability Easy to be conducted High sensitivity, theoretically to 10−6, depending on the NGS platform |
Need for standardization Mutations can be identified in healthy populations (not necessarily linked with disease) Sample contamination Sensitivity is affected by error rate Clonal evolution (if based on allelic ratios) |
Ngai 2021 [2] Dix 2020 [7] |
RT-qPCR | 10−3 to 10−5 | High sensitivity (≥MFC) Quality assurance integration Applicability Standardization |
Time-consuming Need for expertise Threshold limit settings required Expensive Sensitivity is affected as well by the expression level of the target per cell Molecular targets applicable to only ~50% of all AML patients (less in elderly) |
Ngai 2021 [2] Wood 2016 [14] |