Applying machine learning random forest (RF) method in predicting the cement products with a co-processing of input materials: Optimizing the hyperparameters.

Co-processing recycled waste during cement production, i.e., using alternative materials such as secondary raw materials or secondary raw fuels, is widely practiced in developed countries. Alternative raw materials or fuels contain high concentrations of heavy metals and other hazardous chemicals, which might lead to the potential for dangerous heavy metals and hazardous chemicals to be transferred to clinker or cement products, resulting in exposure and emissions to people or the environment. Managing input materials and predicting which inputs affect the final concentration is essential to prevent potential hazards. We used the data of six heavy metals by input raw materials and input fuels of cement manufacturers in 2016-2017. The concentrations of Pb and Cu in cement were about 10-200 times and 4 to 200 times higher than other heavy metals (Cr, As, Cd, Hg), respectively. We profiled the influence of heavy metal concentration of each input material using the principal component analysis (PCA), which analyzed the leading causes of each heavy metal. The Random Forest (RF) ensemble model predicted cement heavy metal concentrations according to input materials. In the case of Cu, Cd, and Cr, the training performance showed R square values of 0.71, 0.71, and 0.92, respectively, as a result of predicting the cement heavy metal concentration according to the heavy metal concentration of each cement input material using the RF model, which is a machine learning model. The results of this study show that the RF model can be used to predict the amount and concentration of alternative raw materials and alternative fuels by controlling the concentration of heavy metals in cement through the concentration of heavy metals in the input materials.

Postoperative Adjuvant Chemoradiotherapy Versus Chemotherapy Alone for Stage III Endometrial Cancer: A Multicenter Retrospective Study.

INTRODUCTION: We aimed to evaluate the efficacy and toxicity of the combination of 6 cycles of chemotherapy and radiation therapy compared with chemotherapy alone as postoperative adjuvant therapy for patients with stage III endometrial cancer. METHODS: This retrospective cohort study included patients with stage III endometrial cancer who received postoperative chemoradiotherapy or chemotherapy alone at 6 hospitals between January 2009 and December 2019. The progression-free survival (PFS) and overall survival (OS) for each treatment group were analyzed using the Kaplan-Meier method. We also assessed differences in toxicity profiles between the treatment groups. RESULTS: A total of 133 patients met the inclusion criteria. Of these, 80 patients (60.2%) received adjuvant chemoradiotherapy and 53 (39.8%) received chemotherapy alone. The PFS and OS did not differ significantly between the groups. For patients with stage IIIC endometrioid subtype, the chemoradiotherapy group had significantly longer PFS rate than did the chemotherapy alone group (log-rank test, P = .019), although there was no significant difference in the OS (log-rank test, P = .100). CRT was identified as a favorable prognostic factor for PFS in multivariate analysis (adjusted HR, .37; 95% CI, .16-.87; P = .022). Patients treated with chemoradiotherapy more frequently suffered from grade 4 neutropenia (73.8% vs 52.8%; P = .018) and grade 3 or worse thrombocytopenia (36.3% vs 9.4%; P = .001) compared with the chemotherapy alone group. There were no differences between the 2 treatment groups in the frequency of toxicity-related treatment discontinuation or dose reduction. CONCLUSION: We confirmed that chemoradiotherapy yields longer progression-free survival than does chemotherapy alone for patients with stage IIIC endometrioid endometrial cancer, with an acceptable toxicity profile.

Prediction of lymphovascular space invasion in patients with endometrial cancer.

Objective: Predict the presence of lymphovascular space invasion (LVSI), using uterine factors such as tumor diameter (TD), grade, and depth of myometrial invasion (MMI). Develop a predictive model that could serve as a marker of LVSI in women with endometrial cancer (EC). Methods: Data from 888 patients with endometrioid EC who were treated between January 2009 and December 2018 were reviewed. The patients' data were retrieved from six institutions. We assessed the differences in the clinicopathological characteristics between patients with and without LVSI. We performed logistic regression analysis to determine which clinicopathological characteristics were the risk factors for positive LVSI status and to estimate the odds ratio (OR) for each covariate. Using the risk factors and OR identified through this process, we created a model that could predict LVSI and analyzed it further using receiver operating characteristic curve analysis. Results: In multivariate logistic regression analysis, tumor size (P = 0.027), percentage of MMI (P < 0.001), and presence of cervical stromal invasion (P = 0.002) were identified as the risk factors for LVSI. Based on the results of multivariate logistic regression analysis, we developed a simplified LVSI prediction model for clinical use. We defined the "LVSI index" as "TD×%MMI×tumor grade×cervical stromal involvement." The area under curve was 0.839 (95% CI= 0.809-0.869; sensitivity, 74.1%; specificity, 80.5%; negative predictive value, 47.3%; positive predictive value, 8.6%; P < 0.001), and the optimal cut-off value was 200. Conclusion: Using the modified risk index of LVSI, it is possible to predict the presence of LVSI in women with endometrioid endometrial cancer. Our prediction model may be an appropriate tool for integration into the clinical decision-making process when assessed either preoperatively or intraoperatively.

Preoperative neutrophil-to-lymphocyte, platelet-to-lymphocyte and monocyte-to-lymphocyte ratio as a prognostic factor in non-endometrioid endometrial cancer.

Objective: Evaluate the prognostic value of neutrophil-lymphocyte ratio (NMR), platelet-lymphocyte ratio (PLR), and monocyte-lymphocyte ratio (MLR) in patients with non-endometrioid endometrial cancer. Method: Laboratory and clinicopathological data from 118 patients with non-endometrioid endometrial cancer who underwent surgical resection between January 2010 and December 2019 were reviewed. NLR, PLR and MLR were analyzed for correlations with recurrence and survival. The receiver operating characteristic (ROC) curves were generated for the NLR, PLR, and MLR. Optimal cut-off values were determined as the points at which the Youden index (sensitivity + specificity - 1) was maximal. Based on the results of the ROC curve analysis, the patients were grouped into high MLR and low MLR groups. Recurrence rate, disease-free survival, and overall survival were compared between the two groups. The prognostic factors were investigated using univariate and multivariate Cox proportional hazards model. Results: The optimal cut-off value of MLR was 0.191 (AUC, 0.718; p < 0.001). Significantly more patients in the high MLR group experienced recurrence (60.3% vs. 15.6%, p < 0.0001) and cancer-related deaths (46.6% vs. 13.3%, p = 0.003). In multivariate analysis, advanced stage and high MLR were independent prognostic factors for disease-free survival and overall survival. Conclusion: Elevated MLR was significantly associated poor clinical outcomes in patients with non endometrioid endometrial cancer. Our findings suggest that MLR may be clinically reliable and useful as an independent prognostic marker for patients with non-endometrioid endometrial cancer.

A machine learning approach for early warning of cyanobacterial bloom outbreaks in a freshwater reservoir.

Understanding the dynamics of harmful algal blooms is important to protect the aquatic ecosystem in regulated rivers and secure human health. In this study, artificial neural network (ANN) and support vector machine (SVM) models were used to predict algae alert levels for the early warning of blooms in a freshwater reservoir. Intensive water-quality, hydrodynamic, and meteorological data were used to train and validate both ANN and SVM models. The Latin-hypercube one-factor-at-a-time (LH-OAT) method and a pattern search algorithm were applied to perform sensitivity analyses for the input variables and to optimize the parameters of the models, respectively. The results indicated that the two models well reproduced the algae alert level based on the time-lag input and output data. In particular, the ANN model showed a better performance than the SVM model, displaying a higher performance value in both training and validation steps. Furthermore, a sampling frequency of 6- and 7-day were determined as efficient early-warning intervals for the freshwater reservoir. Therefore, this study presents an effective early-warning prediction method for algae alert level, which can improve the eutrophication management schemes for freshwater reservoirs.

Dimethyloxaloylglycine induces pexophagy in a HIF-2α dependent manner involving autophagy receptor p62.

Peroxisomes are metabolically active oxygen demanding organelles with a high abundance of oxidases making it vulnerable to low oxygen levels such as hypoxic conditions. However, the exact mechanism of peroxisome degradation in hypoxic condition remains elusive. In order to study the mechanism of peroxisome degradation in hypoxic condition, we use Dimethyloxaloylglycine (DMOG), a cell-permeable prolyl-4-hydroxylase inhibitor, which mimics hypoxic condition by stabilizing hypoxia-inducible factors. Here we report that DMOG degraded peroxisomes by selectively activating pexophagy in a HIF-2α dependent manner involving autophagy receptor p62. Furthermore, DMOG not only increased peroxisome turnover by pexophagy but also reduced HIF-2α dependent peroxisome proliferation at the transcriptional level. Taken together, our data suggest that hypoxic condition is a negative regulator for peroxisome abundance through increasing pexophagy and decreasing peroxisome proliferation in HIF-2α dependent manner.

Co-infection Of Ureaplasma urealyticum And Human Papilloma Virus In Asymptomatic Sexually Active Individuals.

This study aimed to determine the role of asymptomatic bacterial sexually transmitted infections (STIs), such as Chlamydia trachomatis (Ct), Mycoplasma genitalium (Mg), Mycoplasma hominis (Mh), and Ureaplasma urealyticum (Uu) in human papillomavirus (HPV) infection. In total, 264 asymptomatic outpatients aged between 21 and 80 years were prospectively enrolled in this study during routine gynecological screening tests. Specimens collected with a Cervex Brush were routinely analyzed with the Hybrid Capture 2 assay for HPV. Simultaneously, a specimen obtained with an endocervical swab was used to detect Ct and Mg with a monoplex real-time polymerase chain reaction (PCR) and to confirm Mh and Uu with a Mycoplasma IST 2 kit. The detection rates (%) of HPV, Ct, Mg, Mh, and Uu were 82/264 (31.1), 6/264 (2.3), 5/264 (1.9), 16/264 (6.1), and 95/264 (36.0), respectively. Of 95 Uu, 32 (33.7%) showed high density colonization (HDC, ≥104 color-changing units/mL). HDC-Uu was significantly associated with HPV infection (p=0.014, chi-square test). Mg infection and Mh infection were not associated with HPV infection (p=0.981 and p=0.931, chi-square test). Age was not associated with HPV infection or bacterial infection. Our data suggested that asymptomatic HDC-Uu was closely associated with HPV infection. Therefore, simultaneous evaluation for Uu and HPV should be performed during gynecological screening, even in asymptomatic individuals.

Zinc induces apoptosis on cervical carcinoma cells by p53-dependent and -independent pathway.

OBJECTIVE: There is evidence that the mineral zinc is involved in the apoptotic cell death of various carcinoma cells. In this study, we aim to determine whether zinc in the form of CIZAR induces apoptosis in cervical carcinoma cells by increasing intracellular zinc concentration. STUDY DESIGN: CaSki and HeLa cervical carcinoma cells and HPV-16 DNA-transformed keratinocyte (CRL2404) were treated with different concentrations of CIZAR. The cell viability test was carried out, the intracellular level of zinc was determined, and apoptosis was confirmed by flow cytometry after propidium iodide (PI) staining and fluorescence microscopy under DAPI staining. The expression of cell-cycle regulators was analyzed by Western blot, including the knock down of p53 and expression of HPV E6 and E7 genes by RT-PCR. RESULTS: Intracellular zinc accumulation induced the down-regulation of E6/E7 proteins through targeting of the specific transcriptional factors in the upstream regulatory region. p53 was induced after CIZAR treatment and p53-dependent apoptosis did not occur after knock down by p53 siRNA. In cervical carcinoma cells, regardless of HPV-infection, CIZAR induces apoptosis by the activation of the p53-independent pathways through the up-regulation of p21waf1, the down-regulation of c-Myc, and by decreasing the Bcl-2/Bax ratio. CONCLUSIONS: CIZAR induces apoptosis not only through the restoration of p53/Rb-dependent pathways in HPV-positive cells, but also through the activation of p53/Rb-independent pathways and the mitochondrial death-signal pathway in cervical carcinoma cells regardless of HPV-infection.

Potential use of ionic species for identifying source land-uses of stormwater runoff.

Identifying critical land-uses or source areas is important to prioritize resources for cost-effective stormwater management. This study investigated the use of information on ionic composition as a fingerprint to identify the source land-use of stormwater runoff. We used 12 ionic species in stormwater runoff monitored for a total of 20 storm events at five sites with different land-use compositions during the 2012-2014 wet seasons. A stepwise forward discriminant function analysis (DFA) with the jack-knifed cross validation approach was used to select ionic species that better discriminate the land-use of its source. Of the 12 ionic species, 9 species (K+, Mg2+, Na+, NH4+, Br-, Cl-, F-, NO2-, and SO42-) were selected for better performance of the DFA. The DFA successfully differentiated stormwater samples from urban, rural, and construction sites using concentrations of the ionic species (70%, 95%, and 91% of correct classification, respectively). Over 80% of the new data cases were correctly classified by the trained DFA model. When applied to data cases from a mixed land-use catchment and downstream, the DFA model showed the greater impact of urban areas and rural areas respectively in the earlier and later parts of a storm event.

Toll-like receptor 2 gene polymorphisms in Korean women with human papillomavirus-related cervical neoplasia.

INTRODUCTION: The aim of this study was to investigate the association between Toll-like receptor 2 (TLR2) gene polymorphisms and human papillomavirus (HPV)-related cervical neoplasia in Korean women. MATERIAL AND METHODS: Peripheral blood samples collected from 127 patients with HPV-related cervical neoplasia and 175 healthy women were genotyped for the TLR2 -16934, +1350, intron1, and 3' untranslated region (UTR) polymorphisms using the polymerase chain reaction and restriction fragment length polymorphism method. RESULTS: The TLR2 -16934 A/A, intron1 A/A, and +1350 T/C genotypes were more frequent in patients than in controls [odds ratio (OR) = 2.1, 95% CI = 1.302-3.475, p = 0.002; OR = 1.9, 95% CI = 1.168-3.169, p = 0.010; and OR = 1.9, 95% CI = 1.211-3.123, p = 0.006, respectively]. The frequencies of the TLR2 + 1350 C and 3'UTR G alleles were also higher in patients (OR = 2.0, 95% CI = 1.236-3.121, p = 0.004 and OR = 1.7, 95% CI = 1.005-3.076, p = 0.046, respectively). The genotype frequencies of TLR2 -16934 A/A and intron1 A/A increased with increasing oncogenic risk of the HPV genotype, as follows. low-risk type < high-risk type < HPV-16 and/or HPV-18 type (p = 0.008). CONCLUSIONS: Our study provides the first evidence that TLR2 gene polymorphisms are associated with high-risk type HPV-related cervical neoplasia and may play an important role in susceptibility to HPV infection. Further large-scale and functional studies are needed to confirm the role of TLR2 gene polymorphisms in HPV-related cervical neoplasia.

A Pilot Study to Investigate the Efficacy of Fibrin Sealant (Tisseel®) in the Loop Electrosurgical Excision Procedure.

AIMS: The objective of the current study was to evaluate the efficacy and feasibility of fibrin sealant (Tisseel®) in the loop electrosurgical excision procedure (LEEP) for cervical intraepithelial neoplasia (CIN 2 or 3). METHODS: We designed a single-blind, prospective, randomized study in 40 consecutive women undergoing LEEP for CIN 2 or 3 at our institute. Two milliliters of fibrin sealant (Tisseel) was applied to the uterine cervix of 20 women immediately after LEEP surgery (treatment group). We evaluated abdominal pain, vaginal bleeding, vaginal discharge and impairment in daily living after 1 week using visual analogue scale questionnaires and compared the results with those of 20 women who did not receive fibrin sealant (control group). RESULTS: Among 40 women who returned for a follow-up 1 week after LEEP, 25 women (62.5%) reported at least one moderate to severe postprocedural symptom. The mean duration of moderate to severe vaginal bleeding and impairment in daily living during postoperative week 1 for the treatment group and the control group was 0.3 ± 0.80 versus 1.7 ± 2.36 days (p = 0.015) and 0.9 ± 1.37 versus 3.00 ± 2.62 days (p = 0.060), respectively. CONCLUSION: Intraoperative application of fibrin sealant (Tisseel) in LEEP can decrease postoperative vaginal bleeding and impairment in daily living.

Collision Tumor of the Ovary: Adult Granulosa Cell Tumor and Mesonephric-like Adenocarcinoma.

Collision tumors of the ovaries are rare, with only a few reports in the literature. Adult granulosa cell tumors are a relatively common primary tumor component of previously reported collision tumors. The combination of serous and mucinous tumors with adult granulosa cell tumors has been reported in several cases. On the other hand, mesonephric-like adenocarcinomas are rare neoplasms that commonly arise in the uterine corpus and ovaries. In this report, we present the case of a collision tumor composed of an adult granulosa cell tumor and mesonephric-like adenocarcinoma of the ovary in a 63-year-old woman. The initial magnetic resonance imaging findings showed a cystic mass with an internal hemorrhage, which suggested an adult granulosa cell tumor, and a solid mass with different enhancements. Microscopically, the tumor had two distinct components: An adult granulosa cell tumor and a mesonephric-like adenocarcinoma. Recognizing collision tumors consisting of slow-growing and aggressive tumors may prove beneficial in future diagnostic and treatment strategies.

Uterine Cervical Angioleiomyoma Mimicking Squamous Cell Carcinoma.

Angioleiomyoma, a rare variant of leiomyoma, is a benign tumor of mesenchymal origin. Angioleiomyomas of the female urogenital tract are extremely rare, with only six cases of uterine cervical angioleiomyoma previously reported in the literature. In this case study, we report on a 49-year-old female patient who presented with menorrhagia whose initial magnetic resonance imaging (MRI) findings suggested cervical squamous cell carcinoma (SCC). However, following the hysterectomy, histological examination confirmed the lesion to be angioleiomyoma. To the best of our knowledge, there have been no previously reported cases of angioleiomyomas presenting with MRI findings that are suggestive of uterine SCC. Recognizing that angioleiomyomas can mimic uterine malignancies on MRI may prove beneficial for future diagnostic and treatment strategies.

Machine Learning-Based Early Warning Level Prediction for Cyanobacterial Blooms Using Environmental Variable Selection and Data Resampling.

Many countries have attempted to mitigate and manage issues related to harmful algal blooms (HABs) by monitoring and predicting their occurrence. The infrequency and duration of HABs occurrence pose the challenge of data imbalance when constructing machine learning models for their prediction. Furthermore, the appropriate selection of input variables is a significant issue because of the complexities between the input and output variables. Therefore, the objective of this study was to improve the predictive performance of HABs using feature selection and data resampling. Data resampling was used to address the imbalance in the minority class data. Two machine learning models were constructed to predict algal alert levels using 10 years of meteorological, hydrodynamic, and water quality data. The improvement in model accuracy due to changes in resampling methods was more noticeable than the improvement in model accuracy due to changes in feature selection methods. Models constructed using combinations of original and synthetic data across all resampling methods demonstrated higher prediction performance for the caution level (L-1) and warning level (L-2) than models constructed using the original data. In particular, the optimal artificial neural network and random forest models constructed using combinations of original and synthetic data showed significantly improved prediction accuracy for L-1 and L-2, representing the transition from normal to bloom formation states in the training and testing steps. The test results of the optimal RF model using the original data indicated prediction accuracies of 98.8% for L0, 50.0% for L1, and 50.0% for L2. In contrast, the optimal random forest model using the Synthetic Minority Oversampling Technique-Edited Nearest Neighbor (ENN) sampling method achieved accuracies of 85.0% for L0, 85.7% for L1, and 100% for L2. Therefore, applying synthetic data can address the imbalance in the observed data and improve the detection performance of machine learning models. Reliable predictions using improved models can support the design of management practices to mitigate HABs in reservoirs and ultimately ensure safe and clean water resources.

Incidence and risk factors of lower-extremity lymphedema after radical surgery with or without adjuvant radiotherapy in patients with FIGO stage I to stage IIA cervical cancer.

OBJECTIVE: This study aimed to determine the incidence and risk factors of lower-extremity lymphedema (LEL) in women who had radical surgery with or without adjuvant radiotherapy for International Federation of Gynecology and Obstetrics (FIGO) stage I to stage IIA cervical cancer. METHODS: The medical records were reviewed retrospectively on patients with histologically confirmed FIGO stage I to IIA cervical cancer. Lower-extremity lymphedema-related medical problems such as peripheral vascular disease, congestive heart failure, or chronic renal disease were excluded. A logistic regression analysis was used to examine the relationship between variable clinical characteristics and development of LEL. RESULTS: We evaluated 707 patients. Of the 707 patients evaluated, we excluded 92 patients who had received radiotherapy as the initial therapy and 19 patients with LEL related to medical problems. Seventy-five patients (12.6%) developed LEL. The incidence was high in patients with adjuvant radiotherapy (odds ratio, 3.47; 95% confidence interval, 2.086-5.788; P = 0.000), with 78.7% of the patients with LEL having developed the condition within 3 years after initial treatment. CONCLUSIONS: Adjuvant radiotherapy was significantly associated with development of LEL in women who had undergone radical surgery with lymphadenectomy for FIGO stage I to stage IIA cervical cancer. The possibility for the occurrence of LEL must be fully explained before treatment and patients should be provided with the appropriate preventive education. Further prospective studies are needed to confirm the incidence and risk factors for LEL.

Correlation between the digital cervicography and pathological diagnosis performed at private clinics in Korea.

OBJECTIVE: To evaluate the correlation tendency between abnormal findings of digital cervicography and cervical pathology at private clinics in Korea. METHODS: Abnormal finding of digital cervicography performed at private clinics in Korea between January 1, 2010 and May 31, 2012 were analysed retrospectively. The patient's age, abnormal findings of digital cervicography, cervical cytology, human papillomaviru (HPV) test and cervical pathology were investigated and the rate of agreement between abnormal finding of digital cervicography and cervical pathology results was calculated. Abnormal findings of digital cervicography were divided into 4 categories: atypical, compatible with CIN1, compatible with CIN2/3 and compatible with cancer. RESULTS: The study group was composed of 1547 women with a mean (range) age of 37.4 (14-91 years). The agreement rate between abnormal findings of digital cervicography and cervical pathology was 52.0% in "compatible with CIN1", 78.9% in "compatible with CIN2/3", and 90.2% in "compatible with cancer". CONCLUSIONS: Abnormal findings of digital cervicography were highly concordant with cervical intraepithelial neoplasia (CIN) and cancer examined at outpatient clinics in Korea. Therefore, abnormal interpretations of digital cervicography can be used as an excellent auxiliary technique with cervical cytology for CIN and cancer.

The prognostic impact of duration of anemia during chemotherapy in advanced epithelial ovarian cancer.

OBJECTIVE: To propose a measure of anemia to be used as a prognostic factor for progression-free survival and overall survival in advanced epithelial ovarian cancer patients. PATIENTS AND METHODS: Seventy-six patients with International Federation of Gynecology and Obstetrics stage III and stage IV epithelial ovarian cancer who had received at least six courses of platinum- and taxane-based systemic chemotherapy and achieved clinical or pathologic complete response were included. A novel prognostic factor based on the duration of anemia was proposed and the impact of anemia on progression-free and overall survival times was analyzed by a log-rank test and a Cox proportional hazards model. RESULTS: We introduce a binary variable, Hb1020, that takes a value of 1 if the duration of a hemoglobin (Hb) level <10 g/dL is ≥20% of the total duration of chemotherapy. We propose Hb1020 as a potential prognostic factor for epithelial ovarian cancer. The 5-year progression-free survival rates were 48.4% in the Hb1020 = 0 group (duration of Hb <10 g/dL <20% of total duration) and 17.7% in the Hb1020 = 1 group (p = .026). The 5-year overall survival rates were 64.6% and 45.0%, respectively (p = .015). CONCLUSIONS: Hb1020, based on the duration of anemia, is a potential prognostic factor for epithelial ovarian cancer. Using Hb1020, we will be able to administer highly optimized treatment for anemia to improve patient survival. Further independent studies are needed to confirm its prognostic role.

A pilot study to investigate the treatment of cervical human papillomavirus infection with zinc-citrate compound (CIZAR®).

OBJECTIVE: In the present study the potential therapeutic effects of zinc-citrate compound (CIZAR®) in women infected with high-risk human papillomavirus (HR-HPV) was investigated. METHODS: A total of 194 women diagnosed with HR-HPV infection using the Hybrid capture (HC) II assay with no evidence of high grade squamous intraepithelial lesions (HSIL) or worse by Pap smear and colposcopy were enrolled. Among them, 76 women were treated by twice weekly self administered intra-vaginal infusion of 0.5 mM zinc citrate solution containing CIZAR® for 12 weeks and were evaluated for clearance of the HR-HPV infection compared to 118 women without treatment (Control group). RESULTS: The 12 weeks zinc citrate solution treatment resulted in the elimination of HR-HPV in 49/76 (64.47%) patients compared to the spontaneous clearance of 15.25% (18/118) in the control group (p=0.000). By logistic regression analysis, the 12 week zinc citrate solution treatment reduced the risk of persistent HR-HPV infection significantly (OR 0.079; 95% CI 0.039-0.165; p=0.000). CONCLUSION: The results of this study showed for the first time that treatment with intra-vaginal infusion of a zinc-citrate compound (CIZAR®) can result in elimination of HR-HPV infection from the uterine cervix.

Correlation between immunocytochemistry of human papilloma virus L1 capsid protein and behavior of low-grade cervical cytology in Korean women.

AIM: The aim of this study was to evaluate the behavior of low-grade squamous intraepithelial lesion (LSIL) in Korean women infected with human papillomavirus (HPV) in relation to the immunocytochemical detection of the HPV L1 capsid protein. MATERIAL AND METHODS: From January 2006 to December 2007, a total of 353 immunocytochemistry tests were performed on specimens from HPV-infected patients with LSIL. Due to exclusions, the study population was reduced to 318. Subjects were monitored at 4-6 month intervals. The regression, persistence, and progression of the cytologic abnormalities of the 318 cases were compared with the results of HPV L1 capsid protein immunocytochemical detection. RESULTS: Of the 137 patients negative for the HPV L1 capsid protein, 38 (27.7%) showed progression to high-grade lesions, 50 (36.5%) showed persistence, and 49 (35.8%) showed regression to normal cytological features. In contrast, of the remaining 181 patients positive for the HPV L1 capsid protein, 15 (8.3%) showed progression to high-grade lesions, 74 (40.9%) showed persistence, and 92 (50.8%) showed regression. The results of immunocytochemical testing for the HPV L1 capsid protein show a linear association with the progression or regression behavior of low-grade cervical cytology in patients infected with HPV (linear by linear association test, P<0.05). CONCLUSION: Immunocytochemical detection of HPV L1 was significantly related with the biological patterns of LSIL in Korean women. Hence, immunocytochemistry for the detection of HPV L1 is beneficial in providing further information for LSIL.

Lymphedema in Endometrial Cancer Survivor: A Nationwide Cohort Study.

BACKGROUND: Endometrial cancer is the most common gynecological cancer in developed countries. Treatment-related lymphedema negatively affects the quality of life and function of patients. This study investigated the cumulative incidence and risk factors of, and utilization of health care resources for, lymphedema in patients with endometrial cancer. METHODS: We conducted a nationwide, retrospective cohort study of women with endometrial cancer who underwent cancer-direct treatment using the Korean National Health Insurance Service (NHIS) database. Patients were categorized by age, region, income, and treatment modality. Cox proportional hazards regression models were used to analyze the incidence and risk factors of lymphedema. We also analyzed utilization of health care resources for lymphedema using diagnostic and treatment claim codes. RESULTS: A total of 19,027 patients with endometrial cancer were evaluated between January 2004 and December 2017. Among them, 2493 (13.1%) developed lymphedema. Age (<40 years, adjusted odds ratio [aOR] = 1 vs. 40-59 years, aOR = 1.413; 95% confidence interval (CI) 1.203-1.66 vs. 60+ years, aOR = 1.472; 95% CI 1.239-1.748) and multimodal treatment (surgery only, aOR = 1 vs. surgery + radiation + chemotherapy, aOR = 2.571; 95% CI 2.27-2.912) are considered to be possible risk factors for lymphedema in patients with endometrial cancer (p < 0.001). The utilization of health care resources for the treatment of lymphedema has increased over the years. CONCLUSIONS: Lymphedema is a common complication affecting women with endometrial cancer and leads to an increase in national healthcare costs. Post-treatment surveillance of lymphedema, especially in high-risk groups, is needed.