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

Table 4 Univariate and multivariate analyses of potential prognostic factors for distant metastasis-free survival in the validation dataset. Statistically significant differences were found according to the imaging feature-based risk scores in the univariate and multivariate analyses

Variables		n	3-year DMFS (%)	P value		HR	95% CI
Variables		n	3-year DMFS (%)	univariate	multivariate	HR	95% CI
Imaging feature-based DM risk score^a	< 2.6	16	93.8	0.037^b	0.012^b	9.37	1.47–48.68
Imaging feature-based DM risk score^a	≥2.6	16	56.2	0.037^b	0.012^b	9.37	1.47–48.68
Age	< 50	15	71.5	0.707	0.678	1.30	0.37–4.53
Age	≥50	17	76.0	0.707	0.678	1.30	0.37–4.53
Pathology	SCC	30	75.6	0.761	0.192	0.21	0.02–2.19
Pathology	Non-SCC	2	50.0	0.761	0.192	0.21	0.02–2.19
FIGO stage^c	IIB	25	73.4	0.609	0.589	0.62	0.11–3.57
FIGO stage^c	IIIA, IIIB	7	100.0	0.609	0.589	0.62	0.11–3.57
Extent of nodal involvement	Pelvic only	25	74.4	0.690	0.201	2.73	0.59–12.76
Extent of nodal involvement	Pelvic + para-aortic	7	71.4	0.690	0.201	2.73	0.59–12.76
Primary tumor size (mm)	< 50	16	67.3	0.129	0.073	0.21	0.04–1.16
Primary tumor size (mm)	≥50	16	81.2	0.129	0.073	0.21	0.04–1.16

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

ISSN: 1748-717X