Research Article
Noninvasive Method for Predicting the Expression of Ki67 and Prognosis in Non-Small-Cell Lung Cancer Patients: Radiomics
Table 1
Clinical characteristics of patients.
| Clinical features | Total | Training dataset | Test dataset |
| No. of patients | 120 | 85 | 35 | Mean age (95% CI) | 55.58 (53.19–57.98) | 55.46 (52.63–58.29) | 55.87 (51.18–60.59) | Sex | Male | 74 (62%) | 51 (60%) | 23 (66%) | Female | 46 (38%) | 34 (40%) | 12 (34%) | TNM stage | I | 39 (33%) | 25 (29%) | 14 (40%) | II | 60 (50%) | 46 (54%) | 14 (40%) | III | 21 (17%) | 14 (17%) | 7 (20%) | Lobulation | Yes | 84 (70%) | 62 (73%) | 22 (63%) | No | 36 (30%) | 23 (27%) | 13 (37%) | Spiculation | With | 61 (51%) | 40 (47%) | 21 (60%) | Without | 59 (49%) | 45 (53%) | 14 (40%) | Shape | Irregular | 59 (49%) | 38 (45%) | 21 (60%) | Regular | 61 (51%) | 47 (55%) | 14 (40%) | Boundary pleural | Invasion | 75 (63%) | 52 (61%) | 23 (66%) | Noninvasion | 45 (37%) | 33 (39%) | 12 (34%) |
|
|