Skip to main content

Table 1 Study and patient characteristics

From: A meta-analysis of the diagnostic performance of machine learning-based MRI in the prediction of axillary lymph node metastasis in breast cancer patients

Author (year of publication) Data source # Abnormal/normal nodes # Patients Magnet field strength, manufacturer Study design
Hongna Tan (2020) Single institution 119/210 329 3.0 T GE Retro
Thomas Ren (2020) Single institution 66/193 99 1.5 T GE Retro
Xiao Zhang (2019) Single institution 55/91 146 1.5 T Philips Retro
Jia Liu (2019) Single institution 35/27 62 3.0 T GE Retro
Karl D Spuhler (2019) Single institution 55/108 163 1.5 T GE Retro
Lu Han (2019) Single institution 148/263 411 1.5 T GE Retro
Jiaxiu Luo (2018) Single institution 74/98 172 1.5 T Philips Retro
Chunling Liu (2019) Single institution 55/108 163 1.5 T GE Retro
Yuhao Dong (2018) Single institution 55/91 146 1.5 T Philips Retro
Meijie Liu (2020) Single institution 78/86 164 3.0 T GE Pros
Xiaoyu Cui (2019) Single institution 52/63 102 3.0 T Siemens Retro
Demircioglu (2020) Single institution 34/50 84 1.5 T Siemens Retro
Arefan (2020) Single institution 80/74 154 3.0 T Siemens Retro
Fusco (2018) Single institution 48/46 52 1.5 T Aurora Retro
  1. Retro, retrospective; Pros, prospective