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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