[Retracted] Histological Classification and Invasion Prediction of Thymoma by Machine Learning-Based Computed Tomography Imaging

Table 1

Basic information about the patients in the two groups.

Items	Types	Patient proportion (%)
		Low-risk group	High-risk group
Gender	Male	53 (29.28%)	20 (11.05%)
	Female	83 (45.86%)	25 (13.81%)
Age	Average age	48 ± 9.81	51 ± 11.39
Lesion cystic necrosis	Yes	11 (6.08%)	13 (7.18%)
	No	79 (43.65%)	78 (43.09%)