Skip to main content

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

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

Variablesn3-year RC (%)P valueHR95% CI
univariatemultivariate
Imaging feature-based RC risk scorea< 2.21687.50.025b0.058b5.140.94–27.85
≥2.21642.9
Age< 501549.50.1550.5420.670.18–2.45
≥501774.1
PathologySCC3063.00.5310.6530.600.06–5.44
Non-SCC250.0
FIGO stagecIIB2558.80.7430.8560.850.16–4.62
IIIA, IIIB771.4
Extent of nodal involvementPelvic only2563.10.5160.3942.010.40–10.02
Pelvic + para-aortic757.1
Primary tumor size (mm)< 501650.80.3770.1720.430.11–1.64
≥501675.0
  1. Abbreviations: RC regional control, HR hazard ratio, CI confidence interval, SCC squamous cell carcinoma
  2. aImaging features of involved lymph nodes
  3. bSignificant P values
  4. cThe 2009 International Federation of Gynecology and Obstetrics (FIGO) staging system