Skip to main content

Table 2 Patient data: The 6 indicators' data of the MDCT images and the results of univariate statistical analysis.

From: Support vector machine model for diagnosis of lymph node metastasis in gastric cancer with multidetector computed tomography: a preliminary study

Patient data LNM(-) LNM(+) P value
Patient number 41/175(23.4%) 134/175(76.6%)  
Measurement data*    
   Tumor maximum diameter (mm) 39.0 ± 17.0 56.6 ± 19.5 <0.001
   Maximum lymph node size (mm) 6.5 ± 2.8 10.0 ± 5.5 <0.001
   Number of lymph nodes 7 ± 4 12 ± 8 <0.001
Count data#    
   Serosal invasion    <0.001
Yes 15/175(8.6%) 120/175(68.6%)  
No 26/175(14.8%) 14/175(8%)  
   Tumor classification    <0.001
Early gastric cancer 9/175(5.1%) 1/175(0.6%)  
BorrmannI 2/175(1.1%) 0/175  
BorrmannII 3/175(1.7%) 9/175(5.1%)  
Borrmann III 27/175(15.4%) 121/175(69.1%)  
Borrmann IV 0/175 3/175(1.7%)  
   Lymph nodes station    <0.001
Station1 29/175(16.6%) 44/175(25.1%)  
Station2 12/175(6.9%) 54/175(30.9%)  
Station3 0/175 36/175(20.5)  
  1. * The value of the measurement data was means ± standard deviation. The p value was from Independent-samples T test.
  2. # The value of the count data was the number of data. The p value was from Mann-Whitney U test.