• Asian Pacific Journal of Cancer Prevention
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• 제16권2호
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• pp.753-756
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• 2015

Background: Red cell distribution width (RDW) is one of the standard parameters with blood cell counts. Much previous research has indicated that it increases in cases of systemic inflammation or cardiametabolic incident. However, information on the relation of RDW with solid tumors causing systemic inflammation is limited. In the present research, we examined the relation of RDW with malignant and benign lesions of the colon. Materials and Methods: 115 patients with colon polyps (group 1), and 30 with colon cancer (group 2) who were diagnosed histopathologically in our clinic between January 2010-January 2013 were scanned retrospectively. Patients with anemia, hematologic diseases and active inflammation were excluded. RDW, mean corpuscular volume (MCV), hemoglobin (Hgb) and platelet (Plt) measurements were recorded and their relations with the malignant and benign lesions of the colon were examined. Results: Both groups were similar in age and gender distribution. RDW values of patients with colon cancer were significantly higher than the patients with colon polyp (p=0,01). No significant differences were detected between the two groups in terms of MCV and Plt values (p>0,05). Conclusions: RDW can be used as an early warning biomarker for solid colon tumors. Further prospective research is required on the relations of cheap and easily measured RDW parameters with colon malignancies.

• Asian Pacific Journal of Cancer Prevention
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• 제17권3호
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• pp.1129-1134
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• 2016

Vulva and Vaginal cancers are rare among all gynecological cancers worldwide, including Thailand, and typically affect women in later life. Persistent high risk human papillomavirus (HR-HPV) infection is one of several important causes of cancer development. In this study, we focused on HPV investigation and specific type distribution from Thai women with abnormality lesions and cancers of the vulva and Vaginal. A total of ninety paraffin-embedded samples of vulva and Vaginal abnormalities and cancer cells with histologically confirmed were collected from Thai women, who were diagnosed in 2003-2012 at the National Cancer Institute, Thailand. HPV DNA was detected and genotyped using polymerase chain reaction and enzyme immunoassay with GP5+/bio 6+ consensus specific primers and digoxigenin-labeled specific oligoprobes, respectively. The human ${\beta}$-globin gene was used as an internal control. Overall results represented that HPV frequency was 16/34 (47.1%) and 8/20 (40.0%) samples of vulva with cancer and abnormal cytology lesions, respectively, while, 3/5 (60%) and 16/33 (51.61%) samples of Vaginal cancer and abnormal cytology lesions, respectively, were HPV DNA positive. Single HPV type and multiple HPV type infection could be observed in both type of cancers and abnormal lesion samples in the different histological categorizes. HPV16 was the most frequent type in all cancers and abnormal cytology lesions, whereas HPV 18 was less frequent and could be detected as co-infection with other high risk HPV types. In addition, low risk types such as HPV 6, 11 and 70 could be detected in Vulva cancer and abnormal cytology lesion samples, whereas, all Vaginal cancer samples exhibited only high risk HPV types; HPV 16 and 31. In conclusion, from our results in this study we suggest that women with persistent high risk HPV type infection are at risk of developing vulva and Vaginal cancers and HPV 16 was observed at the highest frequent both of these, similar to the cervical cancer cases. Although the number of samples in this study was limited and might not represent the overall incidence and prevalence in Thai women, but the baseline data are of interest and suggest further study for primary cancer screening and/or developing the efficiency of prophylactic HPV vaccines in Thailand.

• 대한방사선기술학회지:방사선기술과학
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• 제13권2호
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• pp.37-42
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• 1990

The paper is based on the record of researching the patients with cancer in the Chun-nam National University Hospital from September 1985 to December 1988. The results are the as follows ; 1. Among the total O.P.D. 921, 028, the patients of Therapeutic Radiology (Opening the Therapeutic Radiology in September) are classified into 27,159(2.95%), (186 in 1985, 2,388 in 1986, 10,511 in 1987, and 14,074 in 1988) 2. Among the 4,925 cancer patients, cervix and uterus cancer patients are 1,138(23.10%), stomach cancer patients are 592(12.02%), brain and thyroid cancer patients are 565(11.47%), liver cancer patients are 400 (8.12%), lung cancer patients are 355 (7.20%) and sexual ratio appeared 1 : 1.13. Therefore, female patients are a slightly more than the male patients. 3. The age distribution of cancer was that of $45{\sim}54$ ages are 1,244(25.26%), $55{\sim}64$ ages are 1,119(22.72%) and $35{\sim}44$ ages are 773(15.70%) and the half of all the cancer patients are $45{\sim}64$ ages. 4. Among the 2,519 cancer patients, 742(29.46%) are in the uterus system, 620(24.62%) are in the brain and thyroid part, 402 (15.96%) are in the lungs. Therefore, these three kinds of cancer consist of 70%. 5. The occupational distribution of 3,067 cancer patients ($87{\sim}88\;year$) house wives are 636 (20.73%), orderly farmers are 622 (20.28%) public service personnells are 193 (6.29%), salarymen are 162(5.28%) and businessmen are 159(5.18%).

• 대한방사선기술학회지:방사선기술과학
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• 제42권2호
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• pp.137-143
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• 2019

The aim of this study was analyzed the setup error of breast cancer patients in intensity modulated radiation therapy(IMRT) with deep inspiration breath holding(DIBH) and was analyzed the dose distribution due to setup error. A total of 45 breast cancer cases were performed a retrospective clinical analysis of setup error. In addition, the re-treatment planning was carried by shifting the setup error from the isocenter at the treatment. Based on this, the dose distribution of PTV and OARs was compared and analyzed. The 3D error for small breast group and medium breast group and large breast group were 3.1 mm and 3.7 mm and 4.1 mm, respectively. The difference between the groups was statistically significant(P=0.003). DVH results showed HI, CI for the PTV difference between standard treatment plan and re-treatment plan of 14.4%, 4%. The difference in $D_5$ and $V_{20}$ of the ipsilateral lung was 5.6%, 13% respectively. The difference in $D_5$ and $V_5$ of the heart of right breast cancer patients was 6.8%, 8% respectively. The difference in $D_5$, $V_{20}$ of the heart of left breast cancer patients was 7.2%, 23.5% respectively. In this study, there was a significant association between breast size and significant setup error in breast cancer patients with DIBH. In addition, it was found that the dose distribution of the PTV and OARs varied according to the setup error.

• 대한방사선치료학회지
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• 제12권1호
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• pp.155-165
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• 2000

This paper is based on the records of researching the patients with cancer in the Chunnam National University Hospital from January 1990 to December 1999 and referred to the Korea Cancer Center Hospital's annual report. The results are as the following : 1. Along the total O.P.D 5,680,284, the patients of therapeutic radiology are 201,367 in $3.55\%$ 2. Among the 12,404 cancer patients, stomach cancer patients are $2,048(16.51\%),\;liver\;cancer\;patients\;are\;1,490(12.01\%),\;lung\;cancer\;patients\;are\;1,418(11.43\%)\;cervix\;and\;uterus\;cancer\;patients\;are\;1,102(8.88\%)$ and sexual ratio of male to female appeared 1.38 : 1 Therefore, male cancer patients are more than female patients. 3. The age distribution of cancer was $2,791(22.50\%)\;by\;55{\sim}64\;age,\;2,582(20.82\%)\;by\;45{\sim}54\;age,\;and\;2,530(20.40\%)\;by\;65{\sim}74\;age.\;Therefore,\;the\;60\%\;of\;all\;cancer\;patients\;were\;45{\sim}75$ ages. 4. Among the 9,815 therapeutic radiology patients, $1,755(17.89\%)\;are\;in\;the\;uterus\;system,\;1,534(15.63\%)\;are\;in\;the\;head\;and\;neck,\;1,519(15.48\%)$ are in the lung. Therefore, the proportion of three kinds of therapeutic radiology patients is about $50\%$. 5. The occupational distributions of 12,404 cancer patients$(90{\sim}99\;year)\;are\;2,795(22.53\%)\;by\;orderly\;farmers,\;2,763(22.28\%)\;by\;house\;wives,\;586(4.71\%)\;by\;businessmen,\;and\;391(3.15\%)$ by public service personnel. Industrial, miners, forest men, soldiers didn't nearly appear. 6. The number of patients of cancer diagnosis was $9,431(76.03\%)\;by\;the\;biopsy\;of\;primary\;region,\;and\;2,201(17.74\%)$ by clinical examination Therefore, those two kinds of methods took a propertion of about $94\%.\;The\;number\;of\;deceases\;on\;departments\;was\;153(32.42\%)\;in\;PD,\;133(28.18\%)\;in\;GI,\;63(13.35\%)$ in GS. Therefore, those three kinds of deceases took a proportion of about $74\%$.

• Asian Pacific Journal of Cancer Prevention
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• 제17권2호
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• pp.835-838
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• 2016

Background: Lung cancer remains one of the most common cancers in the world, both in terms of new cases (about 13% of total per year) and deaths (nearly one cancer death in five), because of the high case fatality. Errors in lung cancer type or malignant growth determination lead to degraded treatment efficacy, because anticancer strategy depends on tumor morphology. Materials and Methods: We have made an attempt to evaluate effectiveness of machine learning algorithms in the task of lung cancer classification based on gene expression levels. We processed four publicly available data sets. The Dana-Farber Cancer Institute data set contains 203 samples and the task was to classify four cancer types and sound tissue samples. With the University of Michigan data set of 96 samples, the task was to execute a binary classification of adenocarcinoma and non-neoplastic tissues. The University of Toronto data set contains 39 samples and the task was to detect recurrence, while with the Brigham and Women's Hospital data set of 181 samples it was to make a binary classification of malignant pleural mesothelioma and adenocarcinoma. We used the k-nearest neighbor algorithm (k=1, k=5, k=10), naive Bayes classifier with assumption of both a normal distribution of attributes and a distribution through histograms, support vector machine and C4.5 decision tree. Effectiveness of machine learning algorithms was evaluated with the Matthews correlation coefficient. Results: The support vector machine method showed best results among data sets from the Dana-Farber Cancer Institute and Brigham and Women's Hospital. All algorithms with the exception of the C4.5 decision tree showed maximum potential effectiveness in the University of Michigan data set. However, the C4.5 decision tree showed best results for the University of Toronto data set. Conclusions: Machine learning algorithms can be used for lung cancer morphology classification and similar tasks based on gene expression level evaluation.

• Asian Pacific Journal of Cancer Prevention
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• 제17권9호
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• pp.4433-4437
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• 2016

Background: Gastric cancer (GC) is the fifth most common cancer worldwide. Since development is usually asymptomatic, it is generally diagnosed at an advanced stage. The value of screening in patients with nonspecific symptoms for GC is controversial. Aim: The study aimed to evaluate whether hematological parameters (platelet count (PC), mean platelet volume (MPV), MPV/PC ratio, red blood cell distribution width (RDW), neutrophil to lymphocyte ratio (NLR), and platelet to lymphocyte ratio (PLR)) are useful markers to differentiate between gastric cancer patients and healthy individuals. Materials and Methods: Sixty-one patients with gastric cancer and sixty-one healthy individuals were enrolled to the survey and retrospective analysis of selected blood parameters were performed. Results: The mean values of PC, MPV, RDW, NLR, and PLR were significantly higher in GC patients compared to the control group. No statistical differences were observed in MPV/PC ratios. Likewise, no significant statistical differences were revealed in values of blood parameters among TNM stage groups. The RDW showed the highest diagnostic specificity and sensitivity. Conclusions: Hematological parameters: PC, MPV, RDW, NLR, PLR have diagnostic power and can discriminate patients with gastric cancer from patients without cancer. Blood parameters compared with clinical symptoms might alert physicians and patients and lead to performancce of upper gastrointestinal endoscopy, the gold standard in gastric cancer screening and therebly increase the early detection of cancer.

• 대한두경부종양학회지
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• 제12권1호
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• pp.81-87
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• 1996

We studied the clinical charcteristics of 265 cases of nasopharyngeal carcinomas diagnosed at Korea Cancer Center Hospital over a span of 8 years from Jan. 1987. Male were 187 and Female were 78 and male: female ratio was 2.4 : 1. The age distribution ranged from 2nd decade to 9th decade evenly and mean age was 46.1 years old. Histopathologically squamous cell carcinoma (WHO type 1, 2, 60.8%) were 161 cases and undifferentiated carcinoma (WHO type 3, 39.2%) were 104 cases. Main symptoms and signs were neck mass 199 cases (75.1%), ear symptoms 126(47.5%), nasal symptom 101 (38.1%). The distribution of anatomical subsites were posterior wall 75 (24.7%), lateral wall 175 (72.8%), Inferior wall 15 (2.5%). Tumor staging by AJCC classification, 1992, distributed with stage I 3 cases (1.1%), stage II 5 cases (1.9%), stage III 24 cases (9.1%), stage IV 233 cases (87.9%).

• 대한두경부종양학회지
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• 제15권1호
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• pp.9-17
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• 1999

Objectives: The records of 936 patients with previously untreated carcinoma of the head and neck were reviewed in order to define the incidence and topographical distribution of neck node metastasis on admission. Materials and Methods: The common regions of metastasis are presented for each of the 12th individual head and neck sites selected for study. Results and Conclusion: Knowledge of the preferred areas of spread and those that are almost never involved allows the design of more adequate radiation therapy plans to manage the individual tumors.

• 여성건강간호학회지
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• 제11권1호
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• pp.46-51
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• 2005

Purpose: The aim of this study was to identify risk factors for breast cancer and early screening behavior in women in the community. Method: The participants were 125 women residing in W city. Data was collected using an instrument developed by the researchers. Analysis was done using descriptive statistics, and the $x^2$ test. Result: For risk based on the Gail Model, age (above 50 years) had a distribution of 24.8%, first degree family history, 4.9%, age at first full term pregnancy, 13.8%, and benign breast cancer history, 4.9%. For risk based on other common risk factors, menopause had a distribution of 20.7%, did not breast feed, 15.4%, history of HRT, 7.3%, meat preference, 35.0%, and history of smoking or drinking, 2.4% and 43.5%, respectively. There was a significant difference in BSE and mammography screening behavior ($x^2=22.5$, p<.00), but no difference in distribution of risk factors and screening behavior. Conclusion: For effective prevention of breast cancer, it is necessary to develop an instrument for risk assessment and, through assessment, select women at high risk. It is also necessary to provide education and appropriate recommendations on screening behavior.