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. 2020 Jun 24;9(6):1977. doi: 10.3390/jcm9061977

Table 1.

Patient characteristics for machine learning (ML) model development and external validation.

SR (mTICI 2b−3) UR (mTICI 0–2a)
Development External Validation p-value Development External Validation p-value
Number of patients 29 27 - 24 12 -
Age (years), mean ± SD 63 ± 13 67 ± 11 0.17 64 ± 14 67 ± 18 0.62
Male sex, n (%) 19 (66) 15 (56) 0.46 17 (71) 7 (58) 0.49
NIHSS score at baseline * 15 (11–18) 16 (10–20) 0.84 13 (9–18) 18 (15–19) 0.03
Onset to MRI time (m) * 131 (99–173) 97 (70–140) 0.20 187 (113–225) 138 (124–216) 0.75
DWI lesion vol (mL), initial * 15 (6–33) 11 (5–28) 0.88 9 (5–18) 15 (6–38) 0.58
PWI lesion vol (mL), initial * 93 (59–133) 104 (72–146) 0.73 83 (53–143) 96 (81–125) 0.93
DWI lesion vol (mL), day-7 * 17 (8–57) 21 (14–79) 0.20 61 (32–118) 124 (84–173) 0.12
Mode of treatment
No, n (%) 0 (0) 0 (0) - 4 (17) 0 (0) -
IV tPA only, n (%) 0 (0) 0 (0) - 1 (4) 3 (25) -
EVT ± IV tPA, n (%) 29 (100) 27 (100) - 19 (79) 9 (75) -

* Median (IQR), Abbreviations: SR, successful recanalization; UR, unsuccessful recanalization; mTICI, modified treatment in cerebral infarction; SD, standard deviation; NIHSS, National Institutes of Health Stroke Scale; IQR, interquartile range; MRI, magnetic resonance imaging; DWI, diffusion-weighted imaging; PWI, perfusion-weighted imaging; IV, intravenous; tPA, tissue plasminogen activator; EVT, endovascular treatment.