• Korean Journal of Radiology
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• v.21 no.6
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• pp.707-716
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• 2020

Objective: To evaluate pharmacokinetic variables from contrast-enhancing lesions (CELs) and non-enhancing T2 high signal intensity lesions (NE-T2HSILs) on dynamic contrast-enhanced (DCE) magnetic resonance (MR) imaging for predicting progression-free survival (PFS) in glioblastoma (GBM) patients. Materials and Methods: Sixty-four GBM patients who had undergone preoperative DCE MR imaging and received standard treatment were retrospectively included. We analyzed the pharmacokinetic variables of the volume transfer constant (Ktrans) and volume fraction of extravascular extracellular space within the CEL and NE-T2HSIL of the entire tumor. Univariate and multivariate Cox regression analyses were performed using preoperative clinical characteristics, pharmacokinetic variables of DCE MR imaging, and postoperative molecular biomarkers to predict PFS. Results: The increased mean Ktrans of the CEL, increased 95th percentile Ktrans of the CELs, and absence of methylated O⁶-methylguanine-DNA methyltransferase promoter were relevant adverse variables for PFS in the univariate analysis (p = 0.041, p = 0.032, and p = 0.083, respectively). The Kaplan-Meier survival curves demonstrated that PFS was significantly shorter in patients with a mean Ktrans of the CEL > 0.068 and 95th percentile Ktrans of the CEL > 0.223 (log-rank p = 0.038 and p = 0.041, respectively). However, only mean Ktrans of the CEL was significantly associated with PFS (p = 0.024; hazard ratio, 553.08; 95% confidence interval, 2.27-134756.74) in the multivariate Cox proportional hazard analysis. None of the pharmacokinetic variables from NE-T2HSILs were significantly related to PFS. Conclusion: Among the pharmacokinetic variables extracted from CELs and NE-T2HSILs on preoperative DCE MR imaging, the mean Ktrans of CELs exhibits potential as a useful imaging predictor of PFS in GBM patients.

• Korean Journal of Clinical Laboratory Science
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• v.47 no.4
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• pp.259-266
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• 2015

Cervical cancer is the third most common cancer among women worldwide. Cervical cancer is significantly associated with human papillomavirus (HPV) infection. The prevalence of HPV infection is influenced by geography, immune status, sexual history and genetic factors. For example, geographically, HPV prevalence varies from 1.5% to 39%. However, little is known about the relationship between HPV prevalence and age. An analysis of HPV prevalence by age will help determine when high-risk groups are exposed to HPV. Such an analysis could also demonstrate a correlation between specific HPV genotypes and age. In addition, the analysis might clarify the optimum age for using vaccines. In this study, HPV prevalence and genotype distribution among Korean and Chinese women are analyzed by age. The REBA HPV-ID$^{(R)}$ assay (YD diagnostics, Yong-in, Republic of Korea) was used for detecting HPV genotypes in uterine cervical liquid-based cytology samples from 533 women from Korea and 324 from East China (Western Shandong province. Women with severe dysplasia such as SCC (Squamous cell carcinoma) and HSIL (High-grade squamous intraepithelial lesion) groups were primarily in their 40s and 50s, whereas women with mild and moderate dysplasia (ASCUS and LSIL groups) were primarily in their 30s and 40s. Women with HPV genotype 16 and 18 infections were primarily in their 40s. The results suggest that HPV infection is associated with certain age groups in the Korean population.