Study (year)
N
Men (%)
Age (y)
HT (%)
DM (%)
DLD (%) CAD (%) LAVi (ml/m2 ) LVEF (%) PAF (%)
View-Segments
Software
PVI
Rec (%)
Hwang et al. (2009)[13]
40
85
54.1 (9,3)
35
13,8
NR
NR
31,2 (10,8) 63,28 (6,46)
100
A4C +A2C- 8
EchoPac PC, GE Healthcare
RFCA
27,5
Kuppahally et al. (2010)[14]
64
73,4
61,9 (14,6)
42.5
34,5
14,5
36,97 (12,32) 52,72 (11,18)
38
A2C- 2
VVI,Siemens Medical Solutions
RFCA+
29
Mirza et al. (2011)[15]
63
58,7
63,1 (9,9)
53.2
14,3
55,6
11,1
33,7 (10,1) 63,5 (5,7)
74,6
A4C- 6
TomTec Imaging Systems
RFCA+
46
Machino-Otsuka et al. (2013)[16]
123
84,6
60 (9)
56
7
NR
6
52,3 (24,13) 63,5 (10,24)
0
A4C +A2C- 12
EchoPac PC, GE Healthcare
RFCA+
37
Morris et al. (2013)[17]
84
60,7
60,7 (9,7)
54.8
1,2
NR
8,3
27,78 (18,42) 61,4 (6,9)
100
A4C +A2C- 12
EchoPac PC, GE Healthcare
RFCA
73,7
Spethmann et al. (2014)[18]
31
61,3
62,3 (9,1)
67.7
16,1
NR
3,2
34,85 (9,19) 43,1 (8,98)
61,3
A4C- 2
EchoPac PC, GE Healthcare
RFCA
45,2
Motoki et al. (2014)19]
256
69,9
59 (11)
54
11
NR
14
41 (13) 58 (10)
80
A4C +A2C- 12
VVI,Siemens Medical Solutions
RFCA+
45
Montserrat et al. (2015)[20]
83
73,5
54 (8,5)
37
NR
NR
NR
36,73 (12,44) 61 (5,22)
96
A4C- 6
Philips QLAB
RFCA+
44
Yasuda et al. (2015)[21]
100
84
59 (11)
42
12
29
4
46,48 (14,05) 71,68 (8,83)
68
+A2C- 12
EchoPac PC, GE Healthcare
RFCA+
26
Kawasaki et al. (2016)[22]
137
70,8
61,9 (10,6)
46
16,1
NR
5,8
50,97 (15,40) 63,78 (7,98)
100
A4C- 2
Aquson Sequoa
RFCA
21,9
Ma et al. (2017)[23]
115
60,9
64 (7)
65.2
17,4
6,9
12,2
39 (12,7) 60,2 (6,1)
46,1
A4C +A2C- 12
TomTec Imaging Systems
RFCA
32,2
Parwani et al. (2017)[24]
102
66,7
65,7 (9,7)
72.5
8,8
NR
24,5
30,9 (12,3) 56,8 (3,8)
0
A4C +A2C- 12
EchoPac PC, GE Healthcare
RFCA+
54
Bai et al. (2018)[25]
87
71,3
61,9 (10,6)
57.5
24,1
NR
12,2
23,73 (9) 61,84 (4,58)
74,7
A4C- 6
EchoPac PC, GE Healthcare
RFCA+
28,7
Hongning et al. (2018)[26]
88
59,1
8,5 (9,6)
44.3
9,1
NR
6,8
27,05 (8,16) 68,5 (5,44)
100
A4C +A2C- 12
NR
RFCA
23,9
Lizewska-Springer et al. (2019) [27]
41
61
55 (11)
51
5
27
5
40 (12) 62 (6)
83
A4C- 6
EchoPac PC, GE Healthcare
RFCA+
37
Koca et al. (2019)[28]
150
62,3
55,1 (11,1)
86
25
8
17
28,72 (8,66) 62,7 (5,41)
100
A4C +A2C- 14
Philips QLAB
CRYO
22,1
Hanaki et al. (2020)[29]
100
84
63 (9)
54
11
28
13
45,2 (15,2) 62,3 (9,2)
0
A4C +A2C- 12
EchoPac PC, GE Healthcare
RFCA+
29