Table 1 Baseline characteristics of studies in the diagnosis field of prostate cancer
No. | Study ID | Years | Country | Diagnosis task | Number of centers | Number of patients | AI methods | Clinical assessment methods | Comparison# |
|---|---|---|---|---|---|---|---|---|---|
1 | Hiremath et al. [31] | 2021 | USA | csPCa | 5 | 592 | DL(2D) | Expert reader | > |
Expert reader and clinical characteristics†| > | ||||||||
2 | Schelb et al. [54] | 2019 | Germany | csPCa | 1 | 312 | DL(2D) | Expert reader | ≈ |
3 | Winkel et al. [65] | 2020 | Switzerland | csPCa | 1 | 201 | HC | Expert reader | > (PZ) |
4 | Dinh et al. [66] | 2018 | France | csPCa | 2 | 235 | HC | Expert reader | ≈ (PZ) |
Less-experience | > (PZ) | ||||||||
5 | Netzer et al. [67] | 2021 | Germany | csPCa | 2 | 1488 | DL(2D) | Expert reader | ≈ |
6 | Zhong et al. [68] | 2019 | USA | csPCa | 1 | 140 | DL(2D) | Expert reader | ≈ |
7 | Deniffel et al. [69] | 2020 | Canada | csPCa | 1 | 499 | DL(3D) | Expert reader | > |
Expert reader and PSA density†| > | ||||||||
8 | Liu et al. [70] | 2021 | USA | csPCa | 1 | 402 | HC, DL(3D) | Expert reader | > |
9 | Zhao et al. [71] | 2023 | China | csPCa, PCa | 7 | 1861 | DL(3D) | Expert reader | ≈ |
10 | Youn et al. [72] | 2021 | Korea | csPCa | 1 | 121 | DL(3D) | Expert reader | < |
Less-experience | ≈ | ||||||||
Residents | > | ||||||||
11 | Yu et al. [73] | 2023 | China | csPCa | 4 | 1540 | DL(2D) | General radiologist | > (internal) |
General radiologist | ≈ (external) | ||||||||
Expert reader | < | ||||||||
12 | Hectors et al. [74] | 2021 | USA | csPCa | 1 | 240 | HC | PSA density†| > |
Prostate volume†| > | ||||||||
13 | Hou et al. [75] | 2020 | China | csPCa | 1 | 263 | HC | Expert reader | > |
14 | Wang et al. [76] | 2017 | China | PCa | 1 | 54 | HC | Expert reader | > (TZ) |
Expert reader | ≈ (PZ) | ||||||||
15 | Li et al. [77] | 2021 | China | PCa | 1 | 203 | HC | Expert reader | ≈ |
16 | Song et al. [78] | 2018 | China | PCa | 1 | 195 | DL(2D) | Reader | > |
17 | Aussavavirojekul et al. [79] | 2022 | Thailand | PCa | 1 | 101 | HC | Reader | > |
18 | Kan et al. [80] | 2020 | China | PCa | 2 | 346 | HC | Expert reader | > |
19 | Antonelli et al. [81] | 2019 | UK | Gleason pattern 4 | 1 | 164 | HC | Expert reader | > |
20 | Niu et al. [82] | 2018 | China | High grade | 1 | 184 | HC | Reader | > |
21 | Algohary et al. [83] | 2020 | USA | D’Amico | 4 | 231 | HC | Reader | > |
22 | Zhang et al. [84] | 2019 | China | Risk | 1 | 59 | HC | Clinical characteristics†| > |