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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

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

Variablesn3-year DMFS (%)P valueHR95% CI
univariatemultivariate
Imaging feature-based DM risk scorea< 2.61693.80.037b0.012b9.371.47–48.68
≥2.61656.2
Age< 501571.50.7070.6781.300.37–4.53
≥501776.0
PathologySCC3075.60.7610.1920.210.02–2.19
Non-SCC250.0
FIGO stagecIIB2573.40.6090.5890.620.11–3.57
IIIA, IIIB7100.0
Extent of nodal involvementPelvic only2574.40.6900.2012.730.59–12.76
Pelvic + para-aortic771.4
Primary tumor size (mm)< 501667.30.1290.0730.210.04–1.16
≥501681.2
  1. Abbreviations: RC regional control, HR hazard ratio, CI confidence interval, DM distant metastasis, SCC squamous cell carcinoma
  2. aImaging features of involved lymph node
  3. bSignificant P values
  4. cThe 2009 International Federation of Gynecology and Obstetrics (FIGO) staging system