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

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

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)

* The value of the measurement data was means ± standard deviation. The p value was from Independent-samples T test.
# The value of the count data was the number of data. The p value was from Mann-Whitney U test.

ISSN: 1471-2407