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. 2022 Feb 3;6(3):976–992. doi: 10.1182/bloodadvances.2021005725

Table 4.

Algorithm-based flow cytometric diagnosis (486 validation cases)

WHO diagnosis n Algorithm-based flow cytometric diagnosis
BL CD10 DLBCL CD10+ DLBCL CLL FL HCL LPL MCL MZL NC Sensitivity Specificity PPV NPV
T1 to T5 BL 13 7 0 0 0 0 0 0 0 0 6 54.1 ± 13.8% 98.9 ± 0.5% 59.3 ± 12.4% 98.7 ± 0.4%
CD10 DLBCL 31 0 5 0 0 0 0 0 0 5 21 16.2 ± 6.6% 99.3 ± 0.4% 63.4 ± 18.1% 94.6 ± 0.4%
CD10+ DLBCL 33 4 0 7 0 1 0 0 0 0 21 21.0 ± 6.9% 98.2 ± 0.6% 46.8 ± 12.8% 94.5 ± 0.5%
CLL 125 0 0 0 112 0 0 0 0 0 13 89.7 ± 2.7% 99.7 ± 0.3% 99.1 ± 0.9% 96.6 ± 0.9%
FL 109 1 0 8 0 34 0 1 0 0 65 31.3 ± 4.5% 99.7 ± 0.2% 97.2 ± 2.6% 83.4 ± 0.9%
HCL 38 0 0 0 0 0 34 0 0 0 4 89.4 ± 5.2% 99.8 ± 0.2% 97.2 ± 2.6% 99.1 ± 0.4%
LPL 54 0 2 0 0 0 0 17 1 2 32 31.4 ± 6.1% 99.5 ± 0.3% 89.2 ± 6.9% 92.1 ± 0.6%
MCL 56 0 0 0 0 0 0 1 41 0 14 73.2 ± 5.8% 99.5 ± 0.3% 95.4 ± 3.1% 96.6 ± 0.7%
MZL 27 0 1 0 1 0 1 0 1 7 16 26.4 ± 8.4% 98.5 ± 0.5% 50.7 ± 12.2% 95.8 ± 0.5%
T1 + T2 BL 13 7 0 0 0 0 0 0 0 0 6 53.8 ± 13.5% 97.7 ± 0.7% 39.4 ± 9.5% 98.7 ± 0.4%
CD10 DLBCL 31 0 2 0 0 0 0 0 0 1 28 6.7 ± 4.5% 99.6 ± 0.3% 50.9 ± 28.6% 94.0 ± 0.3%
CD10+ DLBCL 33 7 0 8 0 1 1 0 0 0 16 24.7 ± 7.4% 97.6 ± 0.7% 42.8 ± 10.1% 94.7 ± 0.5%
CLL 125 0 0 0 108 0 0 0 0 1 16 86.3 ± 3.0% 99.7 ± 0.3% 99.1 ± 0.9% 95.5 ± 0.9%
FL 109 4 1 10 0 37 0 0 0 1 56 33.8 ± 4.4% 99.5 ± 0.4% 95.1 ± 3.3% 83.9 ± 0.9%
HCL 38 0 0 0 0 0 11 0 0 1 26 28.8 ± 7.4% 99.8 ± 0.2% 91.4 ± 8.3% 94.3 ± 0.6%
LPL 54 0 1 0 0 1 0 8 1 1 42 15.0 ± 4.8% 99.5 ± 0.3% 80.4 ± 12.9% 90.4 ± 0.5%
MCL 56 0 0 1 0 0 0 1 26 0 28 46.3 ± 6.8% 99.5 ± 0.3% 92.8 ± 4.8% 93.4 ± 0.8%
MZL 27 0 0 0 1 0 0 1 1 1 23 3.6 ± 3.5% 98.9 ± 0.5% 17.3 ± 17.9% 94.6 ± 0.2%

The upper half of the table describes the results when tubes 1 to 5 of the B-CLPD panel are used; the bottom half tabulates the results from the same validation set cases using tubes 1 and 2 of the B-CLPD panel only. Mean plus SD of sensitivity, specificity, PPV, and NPV were calculated by bootstrapping.

NC, not classified, NPV, negative predictive value; PPV, positive predictive value.