Objective To analyze parameters associated with rectal cancer N stage of computer tomography and clinicopathological characteristics and combination of both to evaluate it′s role in rectal cancer preoperative N stage.
Methods Clinical data of 300 patients with mid-low rectal cancer who underwent radical resection for rectal carcinoma at the Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, from July 2010 to July 2013 were retrospectively collected. According to the postoperative pathologic lymph node status the patients were classified into 2 groups: group N-(n=164) and group N+ (n=136). To analyze computer tomography image and clinicopathological characteristics which affects the stage of lymph nodes. And to analyze the combination of both to evaluate it′s role in rectal cancer preoperative N stage.
Results Compared with N- group, N+ group had higher CEA (Z=-3.636, P<0.001), larger tumor size (t=-4.460, P<0.05), higher T staging (Z=-4.895, P<0.05), and higher differentiation grade (Z=-4.861, P<0.05). No significant difference was observed between two groups in terms of gender, age, CA199, tumor location, surgical procedure, and tumor type (P>0.05). Besides, N+ group had more numbers of lymph nodes (Z=-5.134, P<0.001), longer mean major axis diameter (t=-6.462, P<0.05) and longer mean short axis diameter (t=-6.900, P<0.05), longer largest major axis diameter (Z=-4.128, P<0.001) and longer largest short axis diameter (t=-7.183, P<0.05), and higher mean grey level (Z=-6.560, P<0.001). Lymph node location between two groups had significant difference (χ2=8.202, P<0.05). In multivariate analysis, only T staging and differentiation grade were the independent influence factors of lymph node staging. According to the combination results, combining image factors and CEA, T stage and differentiation grade can improve the diagnostic specificity to over 80%.
Conclusions T staging and differentiation grade were identified as independent influence factors for lymph node staging. Combining image factors and CEA, T stage and differentiation grade could improve the diagnostic specificity to over 80%. However, the sensitivity and accuracy was still low. Further study is needed to find a new way to evaluate lymph node staging.