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Table 2 Univariate and multivariable regression analyses of the Radscore with primary clinical features for the histological subtype prediction of NSCLC in the training cohort

From: Elaboration of a multimodal MRI-based radiomics signature for the preoperative prediction of the histological subtype in patients with non-small-cell lung cancer

IndicatorsUnivariate analysisMultivariable analysis
ORa95% CIp valueOR95% CIp value
LowerUpperLowerUpper
Age2.4811.3684.499< 0.053.9941.42111.228< 0.05
Sex0.0680.0150.313 0.050.4130.01510.8890.59
Smoking0.1480.0530.409 0.050.1040.0120.947< 0.05
Side0.3530.1270.9810.051
Location2.1910.9545.0280.06
LDa1.9911.0613.734< 0.050.0480.0050.511< 0.05
LPDa3.2461.6516.379 0.059.8071.42067.719< 0.05
CEAa0.7840.6350.968< 0.050.6610.4881.1290.062
Radscore11.1284.10030.198 0.0174.9379.339601.32 0.01
  1. The underlined values indicate statistical significance with p value < 0.05 after the univariate analysis
  2. The italics underlined values indicate statistical significance with p value < 0.05 after the multivariable analysis
  3. aLD, LPD, CEA and OR indicate the longest diameter, the longest perpendicular diameter, carcinoembryonic antigen, and odds ratio, respectively