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. 2021 Feb 15;37(6):1825–1837. doi: 10.1007/s10554-021-02162-x

Table 2.

Vessel-level analysis of end-diastolic frame estimations of the 1st- and 2nd-analyst and of the CIB- and DL-methodologies in the NIRS-IVUS sequences acquired at 30fps

Studied vessel Segmentation approach End-diastolic frames corresponding to ECG estimations End-diastolic frames not corresponding to ECG estimations Missed cardiac cycles P
All studied vessels 1st-analyst 1st estimation 3034 (92.6%) 110 (3.4%) 133 (4.1%)
1st-analyst 2nd estimation 3014 (93.1%) 72 (2.2%) 153 (4.7%)
2nd-analyst 3069 (93.5%) 117 (3.6%) 98 (3.0%)  < 0.001
CIB-methodology 3052 (93.5%) 96 (2.9%) 115 (3.5%)
DL-methodology 2987 (91.6%) 95 (2.9%) 180 (5.5%)
Left anterior descending artery 1st-analyst 1st estimation 1141 (94.7%) 23 (1.9%) 42 (3.4%)
1st-analyst 2nd estimation 1136 (94.4%) 22 (1.8%) 46 (3.8%)
2nd-analyst 1140 (94.7%) 22 (1.8%) 42 (3.5%)  < 0.001
CIB-methodology 1119 (93.9%) 10 (0.8%) 63 (5.3%)
DL-methodology 1062 (88.8%) 14 (1.2%) 120 (10.0%)
Left circumflex artery 1st-analyst 1st estimation 976 (92.8%) 41 (3.9%) 35 (3.3%)
1st-analyst 2nd estimation 968 (94.3%) 16 (1.6%) 43 (4.2%)
2nd-analyst 976 (92.6%) 43 (4.1%) 35 (3.3%)  < 0.001
CIB-methodology 972 (94.0%) 23 (2.2%) 39 (3.8%)
DL-methodology 971 (94.5%) 16 (1.6%) 40 (3.9%)
Right coronary artery 1st-analyst 1st estimation 917 (89.9%) 46 (4.5%) 57 (5.6%)
1st-analyst 2nd estimation 910 (90.3%) 34 (3.4%) 64 (6.3%)
2nd-analyst 953 (92.9%) 52 (5.1%) 21 (2.0%)  < 0.001
CIB-methodology 961 (92.7%) 63 (6.1%) 13 (1.3%)
DL-methodology 954 (91.8%) 65 (6.3%) 20 (1.9%)

CIB conventional image-based, DL deep learning, ECG electrocardiogram