Table 1.
The basic characteristics of the studies.
| Author | Published year | Country | Study design | Sample size | Research direction | Machine type | Parameters | b-values (s/mm2) |
|---|---|---|---|---|---|---|---|---|
| Muhi et al. (10) | 2009 | Japan | Retrospective | 98 | Grade | GE1.5 | ADCmean | 500, 1,000 |
| Heo et al. (11) | 2010 | Korea | Retrospective | 27 | Grade | GE1.5 | ADCmean | 0, 1,000 |
| Nishie et al. (12) | 2011 | Japan | Retrospective | 52 | Grade | Philips1.5 | ADCmean | 0, 500, 1,000 |
| Nakanishi et al. (13) | 2012 | Japan | Retrospective | 50 | Grade | Siemens1.5 | ADCmean/ADCmin | 500, 1,000 |
| Saito et al. (14) | 2012 | Japan | Retrospective | 42 | Grade | Siemens1.5 | ADCmean | 100, 800 |
| Sandrasegaran et al. (15) | 2013 | USA | Retrospective | 57 | Grade | Siemens1.5 | ADCmean | 0, 50, 400, 500, 800 |
| Chang et al. (16) | 2014 | China | Retrospective | 141 | Grade | GE1.5 | ADCmean | 0, 500 |
| Le moigne et al. (17) | 2014 | France | Prospective | 62 | Grade | Siemens1.5 | ADCmean | 50, 400, 800 |
| Woo et al. (18) | 2014 | Korea | Retrospective | 42 | Grade | Siemens3.0 | ADCmean/D/D*/f | 0, 25, 50, 75, 100, 200, 500, 800 |
| Guo et al. (19) | 2015 | China | Prospective | 27 | Grade | GE3.0 | ADCmean | 0, 600 |
| Tang et al. (20) | 2016 | China | Retrospective | 74 | Grade | GE3.0 | ADCmean | 0, 800 |
| Iwasa et al. (21) | 2016 | Japan | Retrospective | 42 | Grade | GE1.5 | ADCmean | 0, 1,500 |
| Granata et al. (22) | 2016 | Italy | Retrospective | 62 | Grade | Siemens1.5 | ADCmean/D/D*/f | 0, 50, 100, 200, 400, 600, 800 |
| Shankar et al. (23) | 2016 | India | Prospective | 20 | Grade | Siemens3.0 | ADCmean | 0, 100, 500, 1,000 |
| Li et al. (24) | 2016 | China | Retrospective | 241 | Grade | GE1.5 | ADCmean/ADCmin | 0, 800 |
| Shan et al. (25) | 2017 | China | Retrospective | 109 | Grade | GE3.0 | ADCmean/D/D*/f | 0, 30, 50, 100, 150, 200, 300, 500, 800, 1,000, 1,500 |
| Jing et al. (26) | 2017 | China | Retrospective | 254 | Grade | GE1.5 | ADCmean/ADCmin | 0, 600 |
| Moriya et al. (27) | 2017 | Japan | Retrospective | 56 | Grade | Siemens1.5 | ADCmin | 100, 800 |
| Ogihara et al. (28) | 2018 | Japan | Retrospective | 42 | Grade | GE1.5/3.0 | ADCmean | 0, 800, 1,000 |
| Park et al. (29) | 2018 | Korea | Retrospective | 141 | Grade | Siemens1.5 | ADCmean | 50, 800 |
| Zhu et al. (30) | 2018 | China | Retrospective | 62 | Grade | GE3.0 | ADCmean/D/D*/f | 10, 20, 40, 80, 100, 150, 200, 400, 600, 800, 1,000, 1,200 |
| Sokmen et al. (31) | 2019 | Turkey | Retrospective | 42 | Grade | Siemens1.5 | ADCmean/D | 0, 50, 100, 150, 200, 300, 400, 500, 600, 700, 800, 900, 1,000, 1,100, 1,200, 1,300 |
| Wang et al. (32) | 2020 | China | Retrospective | 128 | Grade | Siemens3.0 | MD/MK/ADCmean | 0, 800 |
| Shi et al. (33) | 2020 | China | Prospective | 52 | Grade | GE3.0 | D | 0, 10, 20, 30, 40, 60, 80, 100, 200, 500, 800 |
| Wu et al. (34) | 2020 | China | Prospective | 88 | Grade | GE3.0 | MD/MK/ADCmean/D/D*/f | 0, 20, 40, 80, 160, 200, 400, 600, 800, 1,000 |
| Zhou et al. (35) | 2021 | China | Retrospective | 70 | Grade | GE3.0 | ADCmean/D/D*/f | Unclear |
| Lee et al. (36) | 2018 | Korea | Retrospective | 114 | Grade/MVI | Philips3.0 | ADCmean/ADCmin | 0, 100, 800 |
| Kim et al. (37) | 2019 | Korea | Retrospective | 143 | Grade/MVI | Philips3.0 | ADCmean/ADCmin | 0, 100, 800 |
| Cao et al. (38) | 2019 | China | Retrospective | 74 | Grade/MVI | Siemens3.0 | MD/MK/ADCmean | 0, 200, 700, 1,400, 2,100 |
| Wei et al. (39) | 2019 | China | Prospective | 91 | Grade | GE3.0 | ADCmean/D/D*/f | 0, 10, 20, 40, 80, 100, 150, 200, 400, 600, 800, 1,000, 1,200 |
| Wang et al. (40) | 2019 | China | Retrospective | 84 | Grade/MVI | Siemens1.5 | MD/MK/ADCmean | 0, 200, 500, 1,000, 1,500, 2,000 |
| Xu et al. (41) | 2014 | China | Retrospective | 92 | MVI | Siemens1.5 | ADCmean | 0, 500 |
| Okamura et al. (42) | 2016 | Japan | Retrospective | 75 | MVI | Siemens1.5 | ADCmean | 0, 1,000 |
| Huang et al. (43) | 2016 | China | Retrospective | 51 | MVI | Siemens1.5 | ADCmean | 0, 500 |
| Lee et al. (44) | 2017 | Korea | Retrospective | 197 | MVI | Philips3.0 | ADCmean | 0, 100, 800 |
| Zhao et al. (45) | 2017 | China | Retrospective | 318 | MVI | GE1.5 | ADCmean/ADCmin | 0, 800 |
| Li et al. (46) | 2018 | China | Prospective | 41 | MVI | Philips3.0 | ADCmean/D/D*/f | 0, 10, 20, 40, 80, 200, 400, 600, 1,000 |
| Zhao et al. (47) | 2018 | China | Retrospective | 51 | MVI | GE3.0 | ADCmean/D/D*/f | 0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 200, 300, 400, 500, 1,000 |
| Chuang et al. (48) | 2019 | China | Retrospective | 97 | MVI | GE1.5 | ADCmean/ADCmin | 0, 400 |
| Chen et al. (49) | 2021 | China | Prospective | 63 | MVI | uMR 770.3.0 | ADCmean/D | 0, 20, 40, 50, 100, 200, 500, 800, 1,500, 2,000 |
| Wang et al. (50) | 2021 | China | Retrospective | 100 | MVI | Philips3.0/GE3.0 | ADCmean | 0, 100, 600 |
| Wei et al. (51) | 2019 | China | Prospective | 135 | MVI | GE3.0 | ADCmean/D/D*/f | 0, 10, 20, 40, 80, 100, 150, 200, 400, 600, 800, 1,000, 1,200 |
ADCmean, mean apparent diffusion coefficient; ADCmin, minimum apparent diffusion coefficient; D, tissue diffusivity; D*, pseudo diffusivity; f, perfusion fraction; MVI, microvascular invasion.