• Child Health Nursing Research
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• v.8 no.1
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• pp.44-54
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• 2002

The main purpose of this methodological study was to develop an assessment tool and intervention protocol for child and family with childhood cancer at early diagnosis stage. The assessment tool and intervention protocol was developed by extensive literature review and consultation with experts. Review of nine domestic and sixty-six international journal articles were done to identify stress, interventions, coping strategies and adjustment of children with cancer and their family. Results were as follows; First, assessment at the early diagnosis stage need to include information on patient, family, and patient/family attitude toward diagnosis and treatment. Second, intervention protocol for children with cancer includes control physical symptoms, manage the side effects of chemotherapy and diagnostic or therapeutic procedures, control emotional responses, provide support and information, assist decision-making and adjust to environment. Third, intervention protocol for family includes controlling emotional responses, provision of informations, inducing family support to patient, improving family cohesion, supporting siblings and supporting spiritual growth. In conclusion, the early diagnosis stage in cancer treatment is important for child and family since this stage greatly affects the overall adjustment of child and family to live with cancer. Therefore, pediatric nurses need to be sensitive to the need of patient/family and systematically manage their needs at this stage.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.5
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• pp.1723-1726
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• 2012

Objective: To summarize and evaluate various urinary markers for early detection, diagnosis and follow-up of human bladder cancer. Methods: A MEDLINE and PUBMED search of the latest literature on urinary markers for bladder cancer was performed. We reviewed these published reports and made a critical analysis. Results: Most urinary markers tend to be less specific than cytology, yielding more false-positive results, but demonstrating an advantage in terms of sensitivity, especially for detecting low grade, superficial tumors. Some tumor markers appear to be good candidates for early detection, diagnosis, and follow-up of human bladder cancer. Conclusion: A number of urinary markers are currently available that appear to be a applicable for clinical detection, diagnosis, and follow-up of bladder cancer. However, further studies are required to determine their accuracy and widespread applicability.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.3
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• pp.2085-2089
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• 2013

Background: The purpose of this descriptive study was to investigate attitudes women of towards cervical cancer prevention applications and early diagnosis, and whether or not their hopelessness levels had any influence. Materials and Methods: The present study was carried out in Isparta with a descriptive design. A sample of 251 individuals was recruited from January 2011 through May 2011 in the largest tea garden (restaurant-cafe). The data collection tool consisted of two parts: a "Questionnaire Form" identifying women; and the "Beck Hopelessness Scale". Data were analyzed using the Statistical Package for the Social Sciences (SPSS version 16.0 for Windows for the numerical and percentage distribution, average, standard deviation with the ANOVA and Mann-Whitney tests. Results: Some 70.2 % of the woman indicated that they had not taken the Pap test. There was a significant relationship between the hopelessness level and women believing that they could protect themselves from getting cervical cancer (F=10.11 p=0.00). There was a significant relationship between hopelessness levels and believing whether or not early diagnosis tests are deterministic (F=8.781 p=0.00). Conclusion: Our study concluded that the hopelessness level of women had an effect on their thoughts about cervical cancer prevention and early diagnosis.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.12
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• pp.6105-6108
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• 2012

Background: The aim of this study was to examine knowledge about cancer and early diagnosis of cancer among nurses. Materials and Method: This descriptive study was carried out at a University Faculty of Medicine Hospital in Turkey. Study between April and June, 2011, with 325 volunteer nurses. The collection tool consisted of two survey forms. The first was designed for sociodemographic information and the second consisted of 16 questions, prepared in accordance with the literature as open and close-ended, for interviews conducted by researchers. Results: Out of the individuals (n=325), included in the study, 90.8% were female, 63.1% high school-university graduates and 55.1% married, with an average years of service of $6.34{\pm}5.33$ and an average age of $28.1{\pm}5.10$. The mean cancer knowledge point was $70.1{\pm}19.5$. Some 79.1% of nurses had not received cancer related continuing education by specialists. A signified relation was found between the nurse knowledge on cancer and educational level (p<0.05). Conclusions: The nurse, a member of the health staff, is in constant contact with individuals at hospitals, schools, polyclinics, workplaces, and homes. When educating society about cancer, nurses need to have a high level of knowledge regarding early diagnosis and cancer prevention.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.7
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• pp.3651-3658
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• 2016

Computer-aided diagnosis of breast cancer is an important medical approach. In this research paper, we focus on combining two major methodologies, namely fuzzy base systems and the evolutionary genetic algorithms and on applying them to the Saudi Arabian breast cancer diagnosis database, to aid physicians in obtaining an early-computerized diagnosis and hence prevent the development of cancer through identification and removal or treatment of premalignant abnormalities; early detection can also improve survival and decrease mortality by detecting cancer at an early stage when treatment is more effective. Our hybrid algorithm, the genetic-fuzzy algorithm, has produced optimized systems that attain high classification performance, with simple and readily interpreted rules and with a good degree of confidence.

• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.49-53
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• 2017

Breast cancer is the sccond most female cancer patient in the entire female cancer patient, and has emerged as the highest contributor to female cancer deaths. If breast cancer id detected early, the cure rate is 92 percent. However, if early detection fails, breast cancer has a very high rate of metastasis. The transition from cancer to cancer has become more successful as cancer progresses. Early diagnosis of cancer is an important factor in improving quality of life. Examples of breast cancer include Mammograph, ultrasound, and Momotome. Mommography is not only painful for the examiner, but also for easy access to breast cancer exam inations. In this paper, breast cancer diagnosis data mammograph data was used. In addition, the Neural Network were classified for early diagnosis of breast cancer early using NEWFM. After learning of data using NEWFM, the accuracy of the breast cancer data classification was 84.4391%.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.20
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• pp.8529-8538
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• 2014

According to the China tumor registry 2013 annual report, breast cancer, lung cancer, and ovarian cancer are three common cancers in China nowadays, with high mortality due to the absence of early diagnosis technology. However, proteomics has been widespreadly implanted into every field of life science and medicine as an important part of post-genomics era research. The development of theory and technology in proteomics has provided new ideas and research fields for cancer research. Proteomics can be used not only for elucidating the mechanisms of carcinogenesis focussing on whole proteins of the tissue or cell, but also seeking the biomarkers for diagnosis and therapy of cancer. In this review, we introduce proteomics principles, covering current technology used in exploring early diagnosis biomarkers of breast cancer, lung cancer and ovarian cancer.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.6
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• pp.2215-2217
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• 2015

Background: This systemic analysis was conducted to to evaluate the application value of positron emission tomography/computed tomography (PET/CT) in early diagnosis of lung cancer. Methods: Clinical studies evaluating the application value of PET/CT for patients underwent PET/CT imaging. The histological diagnosis served as the standard of truth. Results: Four clinical studies which including 1330 patients with pulmonary spaceoccupying lesions were considered eligible for inclusion. Systemic analysis suggested that, in all 1330 patients, pooled sensitivity was 98.7% (1313.2/1330) and specificity was 58.2%(276.85/476). Conclusion: This systemic analysis suggests that integrated PET/CT imaging provides high sensitivity, and reasonably high specificity, and could be applied for early diagnosis of lung cancer.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.1
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• pp.161-166
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• 2014

Lung cancer is the most common causes of cancer-related deaths worldwide, and a lack of effective methods for early diagnosis has greatly impacted the prognosis and survival rates of the affected patients. Tumor-initiating cells (TICs) are considered to be largely responsible for tumor genesis, resistance to tumor therapy, metastasis, and recurrence. In addition to representing a good potential treatment target, TICs can provide clues for the early diagnosis of cancer. MicroRNA (miRNA) alterations are known to be involved in the initiation and progression of human cancer, and the detection of related miRNAs in TICs is an important strategy for lung cancer early diagnosis. As Hsa-miR-155 (miR-155) can be used as a diagnostic marker for non-small cell lung cancer (NSCLC), a smart molecular beacon of miR-155 was designed to image the expression of miR-155 in NSCLC cases. TICs expressing CD133 and CD338 were obtained from A549 cells by applying an immune magnetic bead isolation system, and miR-155 was detected using laser-scanning confocal microscopy. We found that intracellular miR-155 could be successfully detected using smart miR-155 molecular beacons. Expression was higher in TICs than in A549 cells, indicating that miR-155 may play an important role in regulating bio-behavior of TICs. As a non-invasive approach, molecular beacons could be implemented with molecular imaging to diagnose lung cancer at early stages.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.2
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• pp.401-406
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• 2015

Background: This study was planned as comparative and descriptive in order to measure and evaluate the knowledge and attitudes regarding early diagnosis of women with and without a family history of cervical cancer. Materials and Methods: The study sample consisted of the relatives of female patients (N=253) who were admitted to Istanbul University of Medicine. Women with a family history of cervical cancer formed the case group, while those without family history of cervical cancer constituted the control group. Two distinct data collection tools, a questionnaire and the Miller Behavioral Style Scale (MBSS), were used in order to obtain data for evaluation with SPSS for Windows 20.0 statistics package program. Results: It was found that 61.0% of the case group with family history of cervical cancer and 19.0% of the control group without family history of cervical cancer were using early diagnostic methods. Thus the presence of an individual with cervical cancer in the family affected the attitudes towards early diagnosis. It was further found that the level of knowledge on cervical cancer and PAP smear test was higher in the case group, which was more sensitive with regard to being informed about cervical cancer as compared to general society. However, the average MBSS scores were not significantly different compared to the control group. Conclusions: It was noted that, women participating this study knowledgeable, but this did not necessarily transform into better behavior.