Table 1.
Study characteristics
Study [Ref.] | Year | Country | Design | Nodule size, mm | Real-time diagnosis | Deep learning | Training set size | Validation set size |
|
---|---|---|---|---|---|---|---|---|---|
M | B | ||||||||
Zhu et al. [18] | 2013 | China | R | 4−52 | No | No | 464 | 148 | 77 |
Song et al. [14] | 2015 | China | R | NR | No | No | 155 | 21 | 20 |
Wu et al. [15] | 2016 | China | R | NR | No | No | 485 | 260 | 225 |
Yu et al. [16] | 2017 | China | P | >2 | No | No | 610 | 17 | 33 |
Thomas et al. [19]a | 2017 | USA | R | NR | No | No | 410 | 11 | 61 |
Zhang et al. [17] | 2019 | China | R | ≤25 | No | No | 1,238 | 118 | 708 |
Choi et al. [25] | 2017 | South Korea | P | ≥5 | Yes | Yes | − | 43 | 59 |
Jeong et al. [27] | 2019 | South Korea | P | ≥10 | Yes | Yes | − | 44 | 56 |
Yoo et al. [28] | 2018 | South Korea | P | ≥5 | Yes | Yes | − | 50 | 67 |
Gitto et al. [26] | 2019 | Italy | R | 18±7 | Yes | Yes | − | 14 | 48 |
Kim et al. [31] | 2019 | South Korea | R | 1.2±0.9 (B) | Yes | Yes | − | 86 | 132 |
1.2±0.9 (M) | |||||||||
Gao et al. [20] | 2018 | China | R | 17±14 (B) | No | Yes | 3,700 | 239 | 103 |
10±7 (M) | |||||||||
Song et al. [23] | 2019 | China | R | NR | No | Yes | 6,228 | 180 | 187 |
Li et al. [7] | 2019 | China | R | NR | No | Yes | 312,399 | 118 | 156 |
Ko et al. [21] | 2019 | China | R | 10−20 | No | Yes | 594 | 100 | 50 |
Song et al. [22] | 2019 | South Korea | P | NR | No | Yes | 1,358 | 50 | 50 |
Wang et al. [24] | 2019 | China | R | NR | No | Yes | 5,007 | 242 | 109 |
Luo et al. [29]a | 2018 | China | NR | NR | No | Yes | NR | 292 | 208 |
Guan et al. [30] | 2019 | China | R | NR | No | Yes | 2,437 | 209 | 190 |
B, benign; M, malignant; NR, not reported; P, prospective; R, retrospective.
Conference abstract.