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. 2022 Sep 30;30(3):1050–1060. doi: 10.1007/s12350-022-03105-2

Table 3.

Comparison of correlation and agreement analyses in similar studies

Study N Scanner Software PET Software MR # gates EDV
Linear Slope Pearson's r Bias (%) LoA amplitude (%)
Khorsand 2003 20 PET In-house Phillips 8 0.6 0.92 10.1 95.4
Schäfer 2004 42 PET QGS Phillips 8 1.0 0.94 0.3 44.3
4D-MSPECT 1.0 0.94 − 1.1 46.6
Slart 2004 38 PET/CT QGS MASS 16 0.9 0.91 15.0 56.0
Li 2014 89 PET/CT QGS MASS 8 0.9 0.92 12.7 65.9
4D-MSPECT 1.1 0.93 1.0 66.6
Lücke 2017 29 PET/MR Corridor4DM cmr42 16 1.0 0.95 16.5 62.3
Yao 2019 76 PET/CT QGS MASS 8 0.8 0.91 28.4 70.6
ECTB 0.8 0.86 25.5 88.4
4D-MSPECT 0.9 0.89 18.5 80.2
Our study STD 30 PET/MR Munich Heart Munich Heart 8 1.2 0.75 12.8 67.8
Our study STD-BR 1.2 0.81 9.5 59.3
Our study FW 1.3 0.80 9.4 63.9
Study ESV EF
Linear Slope Pearson's r Bias (%) LoA amplitude (%) Linear Slope Pearson's r Bias (%) LoA amplitude (%)
Khorsand 2003 0.6 0.93 9.8 153.9 0.6 0.85 6.5 85.2
Schäfer 2004 1.0 0.95 − 5.9 25.5 0.7 0.94 11.4 51.4
1.0 0.95 − 4.2 55.1 0.7 0.90 2.9 57.1
Slart 2004 0.9 0.94 13.7 58.2 1.0 0.96 10.3 26.1
Li 2014 0.9 0.92 11.7 83.4 0.9 0.76 0.3 115.3
1.0 0.94 − 4.4 80.7 0.7 0.75 12.5 108.6
Lücke 2017 1.2 0.97 19.6 104.8 1.0 0.91 − 4.1 68.8
Yao 2019 0.9 0.93 28.1 77.8 1.0 0.79 − 3.6 113.8
0.7 0.85 29.6 108.0 0.7 0.62 − 12.0 142.5
0.9 0.91 18.1 92.6 0.8 0.76 0.7 105.8
Our study STD 1.0 0.92 2.0 65.1 0.7 0.79 13.6 70.6
Our study STD-BR 1.0 0.92 4.3 67.1 0.8 0.91 5.0 49.2
Our study FW 1.1 0.92 0.6 69.9 0.7 0.87 8.8 57.8

FDG-PET- and MR-based values of EDV, ESV, and EF of N number of subjects were obtained using PET/MR, PET/CT, PET, and MR systems, different MR and PET software, and 8 or 16 gates. MR and PET presented high correlations, variable biases, and wide limits of agreements (LoA) among the studies