Correlation between microvessel density (MVD) and multi-spiral CT (MSCT) perfusion parameters of esophageal cancer lesions and the diagnostic value of combined CtBP2 and P16INK4A

Abstract

This article aims to analyze the correlation between microvessel density (MVD) and multi-spiral CT(MSCT) perfusion parameters of esophageal cancer lesions, and the diagnostic value of combining C-terminal binding protein 2 (CtBP2) and P16 inhibitor of cyclin-dependent kinase 4a (P16INK4A). A total of 42 cases of normal esophageal mucosa tissues >5 cm from the cancer tissue were selected as the control group. The expression levels of CtBP2 and P16INK4A and the values of MSCT perfusion parameters and MVD were compared in the control group and esophageal cancer group. SP immunohistochemical staining was used to detect protein expression levels of CtBP2 and P16INK4A. The Pearson method was used to analyze the differences and pertinence of MSCT perfusion parameters and MVD in the control group and esophageal cancer group. The receiver operating characteristic (ROC) curve was used to calculate the diagnostic value of CtBP2 and P16INK4A combined with MVD and MSCT perfusion parameters in esophageal cancer. The positive expression rate of P16INK4A in the esophageal cancer group was significantly lower than that in the control group. The positive expression rates of CtBP2, blood volume (BV), mean transit time (MTT), surface permeability (permeability surface, PS), and MVD values were significantly higher than those of the control group (P<0.05). There was no significant difference in blood flow (BF) value between the 2 groups (P>0.05). The BF value of the tumor invading the fibrous membrane was significantly higher than that of the non-invading fibrous membrane (P<0.05), and the PS and MVD values of the patients with lymph node metastasis were higher than those without lymph node metastasis (P<0.05). The MSCT perfusion parameters BF and BV were significantly positively correlated with MVD (P<0.05), while MTT, PS, and MVD were not significantly correlated (P>0.05). ROC results showed that the areas under curve (AUC) of CtBP2, P16INK4A, and MSCT were 0.625, 0.747, and 0.812, respectively. However, the area under the combined detection curve was larger, at 0.869. MSCT perfusion imaging of esophageal cancer lesions can indirectly reflect the angiogenesis of esophageal cancer, and the combination of CtBP2 and P16INK4A can effectively improve the diagnostic efficiency of the disease.