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Table 2 Univariate and multivariate analyses of potential prognostic factors for local control in the validation dataset. Statistically significant differences were found according to the imaging feature-based risk scores in the univariate and multivariate analyses

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

Variablesn3-year LC (%)P valueHR95% CI
univariatemultivariate
Imaging feature-based LC risk scorea< 1.12089.10.023b0.044b7.461.06–52.58
≥1.11266.7
Age< 501560.60.1600.1615.500.50–59.52
≥501792.3
PathologySCC3084.90.7060.7410.650.05–8.19
Non-SCC250.0
FIGO stagecIIB2581.90.2131.00< 0.010- ∞
IIIA, IIIB785.7
Extent of nodal involvementPelvic only Pelvic + para-aortic2582.10.6920.2483.400.43-27.15
785.7
Primary tumor size (mm)< 501679.10.8080.2840.280.03–2.85
≥501687.5
  1. Abbreviations: LC local control, HR hazard ratio, CI confidence interval, SCC squamous cell carcinoma
  2. aImaging features of primary cervical tumor
  3. bSignificant P values
  4. cThe 2009 International Federation of Gynecology and Obstetrics (FIGO) staging system