Risk factors for pelvic and para-aortic lymph node metastasis in non-endometrioid endometrial cancer.

PURPOSE: The aim of this study was to evaluate the risk factors for pelvic lymph node metastasis (LNM) and para-aortic LNM in non-endometrioid endometrial cancer (non-EEC). METHODS: A total of 283 patients with non-EEC hospitalized in the First Affiliated Hospital of Zhengzhou University from January 2012 to December 2020 were included. Various characteristics were retrospectively analyzed in relation to LNM. RESULTS: Univariable and multivariable logistic regression analysis revealed cervical stromal invasion (OR = 3.441, 95% CI = 1.558-7.6, p = 0.002), myometrial invasion ≥1/2 (OR = 2.661, 95% CI = 1.327-5.337, p < 0.006), lymphovascular space involvement (LVSI) (OR = 4.118, 95% CI = 1.919-8.837, p < 0.001), positive peritoneal cytology (OR = 2.962, 95% CI = 1.344-6.530, p = 0.007), CA125 (OR = 1.002, 95% CI = 1-1.004, p = 0.026) were the independent risk factors for pelvic LNM. And myometrial invasion ≥1/2 (OR = 5.881, 95% CI = 2.056-16.427, p = 0.001), LVSI (OR = 4.962, 95% CI = 1.933-12.740, p = 0.001), adnexal (OR = 5.921, 95% CI = 2.003-17.502, p = 0.001) were the independent risk factors for para-aortic LNM. With the increase of independent risk factors, the rates of LNM were increased significantly. CONCLUSIONS: Cervical stromal invasion, myometrial invasion ≥1/2, LVSI, positive peritoneal cytology, and CA125 were risk factors for pelvic LNM. Myometrial invasion ≥1/2, LVSI and involvement of the adnexa were risk factors for para-aortic LNM which could provide a good basis to help predict which non-EEC patients are at higher risk for LNM.

Intelligent Detection and Analysis of Polycyclic Aromatic Hydrocarbons Based on Surface-Enhanced Raman Scattering Spectroscopy.

Cycloaromatic hydrocarbons are a type of potentially hazardous chemicals that are widely present in the environment and pose a serious threat to human health. However, the traditional research methods for their detection process are cumbersome, the detection cycle is long, and the sensitivity is low. In response to the above problems, this article combines the molecular fingerprint information characteristics of surface-enhanced Raman scattering technology to simulate the four polycyclic aromatic hydrocarbons of pyrene, anthracene, phenanthrene, and trichenium and quantitative detection of cyclic aromatic hydrocarbons and four kinds of polycyclic aromatic hydrocarbon mixtures. The experimental results show that the PAHs based on SERS have the advantages of higher sensitivity and high selectivity, which verifies the accuracy and feasibility of the method in this article.