Magnetic resonance imaging features of tumor and lymph node to predict clinical outcome in node-positive cervical cancer: a retrospective analysis

Table 3 Univariate and multivariate analyses of potential prognostic factors for regional control in the validation dataset. Statistically significant differences were found according to the imaging feature-based risk scores in the univariate analysis

Variables		n	3-year RC (%)	P value		HR	95% CI
Variables		n	3-year RC (%)	univariate	multivariate	HR	95% CI
Imaging feature-based RC risk score^a	< 2.2	16	87.5	0.025^b	0.058^b	5.14	0.94–27.85
Imaging feature-based RC risk score^a	≥2.2	16	42.9	0.025^b	0.058^b	5.14	0.94–27.85
Age	< 50	15	49.5	0.155	0.542	0.67	0.18–2.45
Age	≥50	17	74.1	0.155	0.542	0.67	0.18–2.45
Pathology	SCC	30	63.0	0.531	0.653	0.60	0.06–5.44
Pathology	Non-SCC	2	50.0	0.531	0.653	0.60	0.06–5.44
FIGO stage^c	IIB	25	58.8	0.743	0.856	0.85	0.16–4.62
FIGO stage^c	IIIA, IIIB	7	71.4	0.743	0.856	0.85	0.16–4.62
Extent of nodal involvement	Pelvic only	25	63.1	0.516	0.394	2.01	0.40–10.02
Extent of nodal involvement	Pelvic + para-aortic	7	57.1	0.516	0.394	2.01	0.40–10.02
Primary tumor size (mm)	< 50	16	50.8	0.377	0.172	0.43	0.11–1.64
Primary tumor size (mm)	≥50	16	75.0	0.377	0.172	0.43	0.11–1.64

Abbreviations: RC regional control, HR hazard ratio, CI confidence interval, SCC squamous cell carcinoma
^aImaging features of involved lymph nodes
^bSignificant P values
^cThe 2009 International Federation of Gynecology and Obstetrics (FIGO) staging system

ISSN: 1748-717X