[Retracted] Establishment and Verification of Logistic Regression Model for Qualitative Diagnosis of Ovarian Cancer Based on MRI and Ultrasound Signs

Table 1

Clinical baseline data of the patients ().

Index [ (%)]	Training group ()	Verification group ()
Age
<50 years old	65 (47.10)	35 (50.72)	0.242	0.623
≥50 years old	73 (52.90)	34 (49.28)
Body mass index
<23 kg/m^2	69 (50.00)	32 (46.38)	0.242	0.623
≥23 kg/m^2	69 (50.00)	37 (53.62)
Menstruation
Regular	104 (75.36)	56 (81.16)	0.881	0.348
Irregular	34 (24.64)	13 (18.84)
Dysmenorrhea
Not have	125 (90.58)	61 (88.41)	0.239	0.625
Have	13 (9.42)	8 (11.59)
Number of pregnancies
<2	64 (46.38)	36 (52.17)	0.619	0.431
≥ 2	74 (53.62)	33 (47.83)
Cumulative menstrual years
<30	55 (39.86)	30 (43.48)	0.250	0.617
≥30	83 (60.14)	39 (56.52)
Marital status
Unmarried	13 (9.42)	7 (10.14)	1.095	0.578
Married	121 (87.68)	58 (84.06)
Other	4 (2.90)	4 (5.80)
Tumor nature
Ovarian cancer	33 (23.91)	18 (26.09)	0.117	0.732
Benign ovarian tumor	105 (76.09)	51 (73.91)