Table 1: Diagnostic performance of dynamic MPICT.
Author (year) |
N | CT system (vendor) |
Dose (mSv) |
MBF Cut-off |
Reference | CTA | MPICT | ||||
---|---|---|---|---|---|---|---|---|---|---|---|
Sens (%) |
Spec (%) |
AUC | Sens (%) |
Spec (%) |
AUC | ||||||
Bamberg 2011 | 33 | 128-slice DSCT (Siemens) | 75 | ICA/FFRcath | 100 (88-100) | 51 (39-63) | 93 (77-99) | 87 (76-94) | |||
Wang 2012 | 30 | 128-slice DSCT (Siemens) | 9.5±1.3 | NR | MPISPECT | 90 | 51 | 100 | 75.7 | ||
Weiniger 2012 | 10 | 128-slice DSCT (Siemens) | 12.8±2.4 | Visual | MPIMRI | 86 | 98 | ||||
MPISPECT | 84 | 92 | |||||||||
Huber 2013 | 32 | 256 SDCT (Philips) | 9.5 | 164 | ICA >75% FFRcath ≤ 0.75 | 76 (57-90) | 100 (95-100) | 0.86 | |||
Rossi 2014 | 99 | 128-slice DSCT (Siemens) | 78 | FFRcath ≤ 0.75 | 61 (77-94) | 77 (84-97) | 85 (69-94 | 89 (78-95) | 0.95 | ||
Kono 2014 | 42 | 128-slice DSCT (Siemens) | 9.4 | 0.85 (index) | FFRcath ≤ 0.80 | 98 | 70 | 0.85 | |||
Kikuchi 2014 | 32 | 320-slice SSCT (Canon) | 12.8±2.9 | 2.97 (CFR) | MPIPET | 86 | 92 | 0.90 | |||
Tanabe 2016 | 53 | 256 MDCT (Philips) | 10.5-10.6 | 92 | MPISPECT (N=25) | 95 (52-100) | 72 (53-91) | 0.87 | |||
98 | MPIMRI (N=28) | 78 (67-97) | 80 (58-86) | 0.89 | |||||||
Coenen 2017 | 74 | 128-slice DSCT (Siemens) | 9.3-1.8 | 0.71 (index) | ICA/FFRcath ≤0.80 | 78 (65-90) | 49 (38-61) | 0.70 | 73 (61-86) | 68 (56-80 | 0.75 |
Rossi 2017 | 115 | 128/192-DSCT (Siemens) | 6.0-10.3 | 75 (index) | ICA/FFRcath ≤0.80 | 35 (21–53) | 95 (81–99) | 0.65 | 89 (76-96) | 73 (59-83 | 0.85 |
Pontone 2019 | 85 | 256-slice SSCT (GE) | 5.3±0.7 | 101 | ICA/FFRcath | 83 75-91) | 66 (9-73) | 0.83 | 73 (63-83) | 86 (81-91) | 0.88 |
Nishiyama 2019 | 38 | 256-slice SSCT (Philips) | 10.2±1.2 | 126 | ICA/FFRcath <0.75 | 96 (88–100) | 57 (46–67) | 0.84 | 83 (68–98) | 93 (88–98) | 0.96 |
Alessio 2019 | 34 | 256-slice SSCT (GE) | 8.4±1.1 | 126 | 82-Rubidium PET | 75 | 83 | NR |