• Asian Pacific Journal of Cancer Prevention
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• v.15 no.23
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• pp.10267-10272
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• 2015

To evaluate the value of combined detection of serum CEA, CA19-9, CA24-2, AFP, CA72-4, SCC, TPA and TPS for the clinical diagnosis of upper gastrointestinal tract (GIT) cancer and to analyze the efficacy of these tumor markers (TMs) in evaluating curative effects and prognosis. A total of 573 patients with upper GIT cancer between January 2004 and December 2007 were enrolled in this study. Serum levels of CEA, CA19-9, CA24-2, AFP, CA72-4, SCC, TPA and TPS were examined preoperatively and every 3 months postoperatively by ELISA. The sensitivity of CEA, CA19-9, CA24-2, AFP, CA72-4, SCC, TPA and TPS were 26.8%, 36.2%, 42.9%, 2.84%, 25.4%, 34.6%, 34.2% and 30.9%, respectively. The combined detection of CEA+CA199+CA242+CA724 had higher sensitivity and specificity in gastric cancer (GC) and cardiac cancer, while CEA+CA199+CA242+SCC was the best combination of diagnosis for esophageal cancer (EC). Elevation of preoperative CEA, CA19-9 and CA24-2, SCC and CA72-4 was significantly associated with pathological types (p<0.05) and TNM staging (p<0.05). Correlation analysis showed that CA24-2 was significantly correlated with CA19-9 (r=0.810, p<0.001). The levels of CEA, CA19-9, CA24-2, CA72-4 and SCC decreased obviously 3 months after operations. When metastasis and recurrence occurred, the levels of TMs significantly increased. On multivariate analysis, high preoperative CA72-4, CA24-2 and SCC served as prognostic factors for cardiac carcinoma, GC and EC, respectively. combined detection of CEA+CA199+CA242+SCC proved to be the most economic and practical strategy in diagnosis of EC; CEA+CA199+CA242+CA724 proved to be a better evaluation indicator for cardiac cancer and GC. CEA and CA19-9, CA24-2, CA72-4 and SCC, examined postoperatively during follow-up, were useful to find early tumor recurrence and metastasis, and evaluate prognosis. AFP, TPA and TPS have no significant value in diagnosis of patients with upper GIT cancer.

• Korean Journal of Veterinary Service
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• v.42 no.4
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• pp.193-200
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• 2019

Blood test is a useful tool in establishing medical treatment for livestock. It provides information such as disease diagnosis, treatment effects, prognostic judgment, and health status. This study compared the value of erythrocytes and leukocytes among conventional, transgenic miniature, and transgenic conventional pigs aged six months to 24 months. Further, it analyzed the aspects of hematological value changes according to the pigs' ages. As a result, the number of red blood cells (RBC), which include hemoglobin, and hematocrit, and the number of white blood cells (WBC), which include neutrophils, and lymphocyte, were high among transgenic miniature pigs, compared with the conventional and transgenic conventional pigs. Conventional pigs showed similar values of RBC and WBC regardless of transgenesis. In comparing their age, the RBC decreased as the age increased compared with the pigs among all the three groups aged of 6~12 months. On the other hand, WBC and neutrophils showed no significant difference regardless of different ages among all the three groups. However, various counts in RBC and WBC were mostly found to be higher in each age in transgenic miniature pigs than in conventional and transgenic conventional pigs. The results of this study show that the values of RBC and WBC were generally higher in transgenic miniature pigs than in conventional and transgenic conventional pigs. Based on this research, hematological values can be widely used in diagnosing diseases or checking the health status of transgenic pigs that are used as disease models, organ transplant source and alike.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.15
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• pp.6449-6453
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• 2014

Background: Prior studies showed a relationship between serum albumin and the albumin to globulin ratio with different types of cancer. We aimed to evaluate the predictive value of the albumin-globulin ratio (AGR) for survival of patients with lung adenocarcinoma. Materials and Methods: This retrospective study included 240 lung adenocarcinoma patients. Biochemical parameters before chemotherapy were collected and survival status was obtained from the hospital registry. The AGR was calculated using the equation AGR=albumin/(total protein-albumin) and ranked from lowest to highest, the total number of patients being divided into three equal tertiles according to the AGR values. Furthermore, AGR was divided into two groups (low and high tertiles) for ROC curve analysis. Cox model analysis was used to evaluate the prognostic value of AGR and AGR tertiles. Results: The mean survival time for each tertile was: for the $1^{st}$ 9.8 months (95%CI:7.765-11.848), $2^{nd}$ 15.4 months (95%CI:12.685-18.186), and $3^{rd}$ 19.9 months (95%CI:16.495-23.455) (p<0.001). Kaplan-Meier curves showed significantly higher survival rates with the third and high tertiles of AGR in comparison with the first and low tertiles, respectively. At multivariate analysis low levels of albumin and AGR, low tertile of AGR and high performance status remained an independent predictors of mortality. Conclusions: Low AGR was a significant predictor of long-term mortality in patients with lung adenocarcinoma. Serum albumin measurement and calculation of AGR are easily accessible and cheap to use for predicting mortality in patients with lung adenocarcinoma.

• Radiation Oncology Journal
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• v.17 no.2
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• pp.120-129
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• 1999

Purpose : Serum squamous cell (SCC) antigen levels were examined in uterine cervix cancer undergoing radiation therapy, and authors analyzed the relationship between SCC antigen levels and treatment results. Materials and Methods :This is a retrospective study of 181 conical carcinoma patients who received radiotherapy and examined serial serum SCC antigen from 1991 to 1997 at Soonchunhyang University Hospital. One hundred and eighteen patients underwent SCC antigen evaluation at diagnosis The relationship between the serum tumor marker level and disease free survival, recurrence pattern, and other prognostic factors were analyzed according to various statistical methods. Results : The Positivity rate (initial serum value above 2.5 ng/ml) was increased with FIGO stage (IB-IIA 57% to IV 91%) and more discriminative than cutoff value of 1.5 ng/ml. Five year disease free survival rates for the stage IB-IIA, IIB, III and IV were 79.2%, 68.7%, 33.4% and 0%, respectively. The 5-year disease free survival rate for patients with serum SCC antigen levels above 5.0 ng/ml was 34% versus 55~62% for patients with normal range (>1.5 ng/ml) or mildly elevated levels (1.5~5.0 ng/ml). Rising SCC antigen levels preceded the clinical detection of disease by a mean of 4.8 months (range 1 ~13 months). Negative linear correlation was observed between initial SCC antigen levels and relapse free survival (r=-0.226), and by multivariate analysis, initial SCC antigen level had a large impact on the relapse free survival. Conclusion : SCC antigen assay is a useful aid to predict the prognosis of squamous cell carcinoma of the uterine cervix and to detect recurrence.

• Journal of Korean Neurosurgical Society
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• v.30 no.2
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• pp.168-172
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• 2001

Objective : The authors have studied the clinical outcome of patients with diffuse axonal injuries(DAI) to evaluate the prognostic value of gradient-echo MR imaging findings. Materials and Methods : From March 1995 to March 1998, there were nineteen patients with DAI whose initial Glasgow coma scales were eight or less. Authors divided them into two groups according to Glasgow outcome scales ; those patients with GOS 3 or less(group A ; 9) and those with 4 or more(group B ; 10). We subdivided the lesions as superficial and deep lesion, and analyzed the numbers, anatomical loci of the lesions on the gradient echo images of each group. Results : Mean numbers of the lesions were 15 per case in group A(135/9) and 10 in group B(100/10). The common loci involved in DAI were cerebral cortex, brain stem, and corpus callosum. Cortical lesions were 31.1% in group A(42/135) and 47% in group B(47/100). Brain stem lesions were 25.9%(35/135) and 15%(15/100) each. Callosal lesions were 31.1%(26/135) and 13%(13/100) each. The frequency of callosal and brain stem lesions was significantly different between two groups(p<0.05). We divided callosal lesions as genu, body, and splenium and body lesions as anterior, middle, posterior, but no significant topographical difference of lesions was observed between two groups. Deep lesions were observed more frequently in group A(58.5%, 79/135) than group B(36%, 36/100). Conclusion : The poor outcome group showed more numbers of lesion and more frequent involvement of brain stem and corpus callosum than favorable outcome group. Gradient-echo MR imaging seems to have predictive value for clinical outcome in patients with DAI.

• Journal of The Korean Society of Emergency Medicine
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• v.29 no.5
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• pp.430-436
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• 2018

Objective: The purpose of this study was to evaluate whether or not the d-dimer level indicating hyperfibrinolysis could be a predictor of early poor outcome (massive transfusion, death within 24 hours) associated with trauma-induced coagulopathy in blunt trauma without significant brain injury. Methods: This study was a retrospective observational study using 516 blunt trauma patients without significant brain injury. The poor outcome group, including patients receiving massive transfusion and those who died within 24 hours, consisted of 33 patients (6.4%). The variables were compared between the poor outcome group and good outcome group, and logistic regression analysis was performed using statistically significant variables. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the poor outcome prediction ability of the initial d-dimer level. Results: The poor outcome group showed more serious anatomical, physiological, and laboratory data than the good outcome group. In the ROC curve analysis for evaluation of the poor outcome prediction of the d-dimer level, the area under the curve value was 0.87 (95% confidence interval [CI], 0.84-0.90) while the cut-off value was 27.35 mg/L. In the logistic regression analysis, the high d-dimer level was shown to be an independent predictor of poor outcome (adjusted odds ratio, 14.87; 95% CI, 2.96-74.67). Conclusion: The high d-dimer level (>27.35 mg/L) can be used as a predictor for the poor outcome of patients with blunt trauma without significant brain injury.

• Yonsei Medical Journal
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• v.59 no.9
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• pp.1088-1095
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• 2018

Purpose: Post-operative pulmonary function is an important prognostic factor for lung transplantation. The purpose of this study was to identify factors affecting recovery of forced expiratory volume in 1 second (FEV1) at the first year after lung transplantation. Materials and Methods: We retrospectively reviewed the medical records of lung transplantation patients between October 2012 and June 2016. Patients who survived for longer than one year and who underwent pulmonary function test at the first year of lung transplantation were enrolled. Patients were divided into two groups according to whether they recovered to a normal range of FEV1 (FEV1 ${\geq}80%$ of predicted value vs. <80%). We compared the two groups and analyzed factors associated with lung function recovery. Results: Fifty-eight patients were enrolled in this study: 28 patients (48%) recovered to a FEV1 ${\geq}80%$ of the predicted value, whereas 30 patients (52%) did not. Younger recipients [odds ratio (OR), 0.92; 95% confidence interval (CI), 0.87-0.98; p=0.010], longer duration of mechanical ventilator use after surgery (OR, 1.14; 95% CI, 1.03-1.26; p=0.015), and high-grade primary graft dysfunction (OR, 8.08; 95% CI, 1.67-39.18; p=0.009) were identified as independent risk factors associated with a lack of full recovery of lung function at 1 year after lung transplantation. Conclusion: Immediate postoperative status may be associated with recovery of lung function after lung transplantation.

• Journal of the Korean Orthopaedic Association
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• v.54 no.6
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• pp.509-518
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• 2019

Purpose: Lymph node metastasis is a very important prognostic factor for all skin cancers and some sarcomas. A sentinel lymph node (SLN) biopsy is the most useful technique for identifying SLNs. Recently, a new generation of diagnostic tools, such as single photon emission computed tomography/computed tomography (SPECT/CT) and positron emission tomography/CT (PET/CT) enabled the detection of SLNs. This study compared the efficacy of PET/CT for detecting lymph node metastases with a SLN biopsy in a single medical center. Materials and Methods: From 2008 to 2018, 72 skin cancers of sarcoma patients diagnosed with some lymph node involvement in a whole body PET/CT reading were assessed. Patients suspected of lymph node metastasis were sent to biopsy and those suspected to be reactive lesions were observed. The analysis was performed retrospectively using the medical records, clinical information, PET/CT readings, and pathology results. Results: The age of patients ranged from 14 to 88 years and the mean follow-up period was 2.4 years. Twenty-two patients were suspected of a lymph node metastasis and confirmed. The sensitivity, specificity, positive predictive value and negative predictive value of PET/CT images in sarcoma and non-sarcoma tumors were increased significantly when the expert's findings were considered together. Conclusion: PET/CT is effective in detecting lymph node metastases.

• Korean Journal of Radiology
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• v.25 no.3
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• pp.277-288
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• 2024

Objective: We previously found that the incidence of sarcopenia increased with declining glucose metabolism of muscle in patients with treatment-naïve diffuse large B-cell lymphoma (DLBCL). This study aimed to investigate the relationship between sarcopenia and muscle glucometabolism using ¹⁸F-FDG PET/CT at baseline and end-of-treatment, analyze the changes in these parameters through treatment, and assess their prognostic values. Materials and Methods: The records of 103 patients with DLBCL (median 54 years [range, 21-76]; male:female, 50:53) were retrospectively reviewed. Skeletal muscle area at the third lumbar vertebral (L3) level was measured, and skeletal muscle index (SMI) was calculated to determine sarcopenia, defined as SMI < 44.77 cm²/m² and < 32.50 cm²/m² for male and female, respectively. Glucometabolic parameters of the psoas major muscle, including maximum standardized uptake value (SUVmax) and mean standardized uptake value (SUVmean), were measured at L3 as well. Their changes across treatment were also calculated as ΔSMI, ΔSUVmax, and ΔSUVmean; Δbody mass index was also calculated. Associations between SMI and the metabolic parameters were analyzed, and their associations with progression-free survival (PFS) and overall survival (OS) were identified. Results: The incidence of sarcopenia was 29.1% and 36.9% before and after treatment, respectively. SMI (P = 0.004) was lower, and sarcopenia was more frequent (P = 0.011) at end-of-treatment than at baseline. The SUVmax and SUVmean of muscle were lower (P < 0.001) in sarcopenia than in non-sarcopenia at both baseline and end-of-treatment. ΔSMI was positively correlated with ΔSUVmax of muscle (P = 0.022). Multivariable Cox regression analysis showed that sarcopenia at end-of-treatment was independently negatively associated with PFS (adjusted hazard ratio [95% confidence interval], 2.469 [1.022-5.965]), while sarcopenia at baseline was independently negatively associated with OS (5.051 [1.453-17.562]). Conclusion: Sarcopenic patients had lower muscle glucometabolism, and the muscular and metabolic changes across treatment were positively correlated. Sarcopenia at baseline and end-of-treatment was negatively associated with the prognosis of DLBCL.

• Journal of the Korean Society of Radiology
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• v.81 no.5
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• pp.1164-1174
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• 2020

Purpose To evaluate a deep learning model to predict recurrence of thyroid tumor using preoperative ultrasonography (US). Materials and Methods We included representative images from 229 US-based patients (male:female = 42:187; mean age, 49.6 years) who had been diagnosed with thyroid cancer on preoperative US and subsequently underwent thyroid surgery. After selecting each representative transverse or longitudinal US image, we created a data set from the resulting database of 898 images after augmentation. The Python 2.7.6 and Keras 2.1.5 framework for neural networks were used for deep learning with a convolutional neural network. We compared the clinical and histological features between patients with and without recurrence. The predictive performance of the deep learning model between groups was evaluated using receiver operating characteristic (ROC) analysis, and the area under the ROC curve served as a summary of the prognostic performance of the deep learning model to predict recurrent thyroid cancer. Results Tumor recurrence was noted in 49 (21.4%) among the 229 patients. Tumor size and multifocality varied significantly between the groups with and without recurrence (p < 0.05). The overall mean area under the curve (AUC) value of the deep learning model for prediction of recurrent thyroid cancer was 0.9 ± 0.06. The mean AUC value was 0.87 ± 0.03 in macrocarcinoma and 0.79 ± 0.16 in microcarcinoma. Conclusion A deep learning model for analysis of US images of thyroid cancer showed the possibility of predicting recurrence of thyroid cancer.