• Title/Summary/Keyword: Cancer diagnosis

Search Result 2,920, Processing Time 0.042 seconds

Malignant Pleural Effusion: Medical Approaches for Diagnosis and Management

  • Nam, Hae-Seong
    • Tuberculosis and Respiratory Diseases
    • /
    • v.76 no.5
    • /
    • pp.211-217
    • /
    • 2014
  • Malignant pleural effusions (MPEs) are the second leading cause of exudative pleural effusions after parapneumonic effusions. In the vast majority of cases, a MPE signifies incurable disease associated with high morbidity and mortality. Considerable advances have been made for the diagnosis of MPEs, through the development of improved methods in the specialized cytological and imaging studies. The cytological or histological confirmation of malignant cells is currently important in establishing a diagnosis. Furthermore, despite major advancements in cancer treatment for the past two decades, management of MPE remains palliative. This article presents a comprehensive review of the medical approaches for diagnosis and management of MPE.

Body Fat Percentage and Natural Killer Cell Activity of Breast and Rectal Cancer Patients after Diagnosis but before Treatment (진단 직후 유방암.직장암 환자의 체지방량과 자연 살 세포 활동량)

  • Kim, Dal-Sook;Jun, Myung-Hee
    • Journal of Korean Academy of Nursing
    • /
    • v.38 no.2
    • /
    • pp.321-331
    • /
    • 2008
  • Purpose: To examine the relationship between body fat percentage (BFP) and N-K cell activity (NKCA) in Korean breast and rectal cancer patients just after diagnosis. Methods: With 35 subjects enrolled between November 2002 and May 2003, Bioelectrical Impedance Analysis was used to estimate BFP. FACS Analysis was used to measure N-K cell activity. The relationships between BFP and NKCA were identified by using curve estimation, simple regression, and multiple regression, Results: The mean BFPs of the subjects and all the sub-groups were higher than acceptable BFPs. Both the mean NKCAs of male and female subjects were lower than that of healthy women. NKCA was explained by BFP with a 14.9% variance in the total subjects (p<.05). There were significant negative relationships between BFP and NKCA after controlling age, type of cancer, and stage of cancer while no significant relationship was found after controlling for gender. The relationships between BFP and NKCA in the sub-groups of female, breast cancer, and stage I, and II were significant. The relationships between male, rectal cancer, and the stage III, and VI sub-groups were not identified, but they revealed a mild to moderate steep in curve estimation. Conclusion: Weight reduction could prevent the risk and advancement of breast and rectal cancer in Koreans.

Clinical Impact and Reliability of Carbonic Anhydrase XII in the Differentiation of Malignant and Tuberculous Pleural Effusions

  • Liu, Yun-Long;Jing, Li-Ling;Guo, Qi-Sen
    • Asian Pacific Journal of Cancer Prevention
    • /
    • v.14 no.1
    • /
    • pp.351-354
    • /
    • 2013
  • Objective: To assess the practical utility of pleural fluid carbonic anhydrase XII (CAXII) quantification for differential diagnosis of effusions. Materials and Methods: Fluid was collected prospectively from fifty patients presenting with lymphocytic pleural effusions for investigation and CAXII was quantified by ELISA. Results: Pleural fluid CAXII concentrations were significantly higher in lung cancer patients (n=30) than in tuberculous controls (n=20). The sensitivity and specificity of this biomarker were 60%and 75%, respectively. CAXII measurement was not inferior to cytological examination in the diagnosis and exclusion of pleural effusions from lung cancer patitents (sensitivity 60% vs. 57%; specificity 75% vs. 100%; positive predictive value 77%; negative predictive value 54%). In patients with negative cytology, it offered a sensitivity of 54%. Conclusions: Pleural fluid CAXII is elevated in pleural effusions from lung cancer patients. Measurement of CAXII may be used in the future as a valuable adjunct to cytology in the diagnostic assessment of patients with pleural effusions related to lung cancer, especially when cytological examination is inconclusive.

Survival of Colorectal Cancer in the Presence of Competing-Risks - Modeling by Weibull Distribution

  • Baghestani, Ahmad Reza;Daneshvar, Tahoura;Pourhoseingholi, Mohamad Amin;Asadzadeh, Hamid
    • Asian Pacific Journal of Cancer Prevention
    • /
    • v.17 no.3
    • /
    • pp.1193-1196
    • /
    • 2016
  • Background: Colorectal cancer (CRC) is the commonest malignancy in the lower gastrointestinal tract in both men and women. It is the third leading cause of cancer-dependent death in the world. In Iran the incidence of colorectal cancer has increased during the last 25 years. Materials and Methods: In this article we analyzed the survival of 447 colorectal patients of Taleghani hospital in Tehran using parametric competing-risks models. The cancers of these patients were diagnosed during 1985 - 2012 and followed up to 2013. The purpose was to assess the association between survival of patients with colorectal cancer in the presence of competing-risks and prognostic factors using parametric models. The analysis was carried out using R software version 3.0.2. Results: The prognostic variables included in the model were age at diagnosis, tumour site, body mass index and sex. The effect of age at diagnosis and body mass index on survival time was statistically significant. The median survival for Iranian patients with colorectal cancer is about 20 years. Conclusions: Survival function based on Weibull model compared with Kaplan-Meier survival function is smooth. Iranian data suggest a younger age distribution compared to Western reports for CRC.

Awareness Regarding Risk Factors, Symptoms and Treatment Facilities for Cancer in Selected States of India

  • Raj, Sherin;Piang, Lam Khan;Nair, K.S.;Tiwari, V.K.;Kaur, Harneet;Singh, Bacchu
    • Asian Pacific Journal of Cancer Prevention
    • /
    • v.13 no.8
    • /
    • pp.4057-4062
    • /
    • 2012
  • Objective: To study the level of awareness and knowledge about cancers and associated risk factors among households in selected states of India. Methods: In the study 3070 households were interviewed from six states viz, West Bengal, Kerala, Madhya Pradesh, Rajasthan and Mizoram. Results: Knowledge of cancers other than those related to tobacco was very low (prostate 8%, colon 11% ) among the communities, with a poor awareness of warning signs and symptoms. The knowledge varied from state to state. It is found that the major source of information related to cancers was television (38%) followed by friends and relatives (36%). Only about 15 % of respondents had knowledge about cancer awareness camps organized in their districts but they did not have knowledge about the organizers of the camp. Findings suggested a strong need for strengthening of DCCP. Conclusion: It is important to create awareness among community through educational programs on cancer prevention, preventable cancer risk factors, benefits of early diagnosis, and availability of screening facilities. Integration of District Cancer Control activities with NRHM could be the most cost-effective strategy to prevent cancers and rural population.

Follow-Up Study of Survival of Patients with Advanced Cancer in a Hospice Setting

  • Wang, Yu-Mei;Guo, Hai-Qiang
    • Asian Pacific Journal of Cancer Prevention
    • /
    • v.13 no.7
    • /
    • pp.3357-3360
    • /
    • 2012
  • Objective: This study was to present the survival of advanced cancer patients and explore the influence of various factors on survival time as well as survival rate. The results provide guidelines for clinical practice of cancer treatment. Methods: Follow-up of 674 advanced cancer patients was performed in a hospice. The median survival time and survival rate were calculated, and survival analysis was carried out. Results: The median survival time of all patients dying from cancer was 12.0 months and the average survival time was 25.1 months. The 1-year cumulative survival rate was $0.518{\pm}0.020$ and the 5-year cumulative survival rate was $0.088{\pm}0.012$. The following factors showed significant impacts on survival rate: gender, age, primary diagnosis, surgery and the time when pain appeared. Conclusions: The survival time of patients with advanced cancer was relatively short. Major approaches to extend the survival time include early detection, early diagnosis, effective surgical treatment, pain control, reasonable supply of nutrients and multiple interventions.

Survival of Colorectal Cancer Patients in the Presence of Competing-Risk

  • Baghestani, Ahmad Reza;Daneshvar, Tahoura;Pourhoseingholi, Mohamad Amin;Asadzade, Hamid
    • Asian Pacific Journal of Cancer Prevention
    • /
    • v.15 no.15
    • /
    • pp.6253-6255
    • /
    • 2014
  • Background: Colorectal cancer (CRC) is considered to be a main cause of malignancy-related death in the world, being commonly diagnosed in both men and women. It is the third leading cause of cancer dependent death in the world and there are one million new cases diagnosed per year. In Iran the incidence of colorectal cancer has increased during the last 25 years and it is the fifth cause of cancer in men and the third in women. Materials and Methods: In this article we analyzed the survival of 475 colorectal patients of Taleghani hospital in Tehran with the semi-parametric competing-risks model. Results: There were 55% male cases and at the time of the diagnosis most of the patients were between 48 and 67years old. The probability of a patient death from colorectal cancer with survival of more than 25 years was about 0.4. Body mass index, height, tumour site and gender had no influence. Conclusions: According to these data and by using semi-parametric competing-risks method, we found out that only age at diagnosis has a significant effect on these patient survival time.

Deep learning for stage prediction in neuroblastoma using gene expression data

  • Park, Aron;Nam, Seungyoon
    • Genomics & Informatics
    • /
    • v.17 no.3
    • /
    • pp.30.1-30.4
    • /
    • 2019
  • Neuroblastoma is a major cause of cancer death in early childhood, and its timely and correct diagnosis is critical. Gene expression datasets have recently been considered as a powerful tool for cancer diagnosis and subtype classification. However, no attempts have yet been made to apply deep learning using gene expression to neuroblastoma classification, although deep learning has been applied to cancer diagnosis using image data. Taking the International Neuroblastoma Staging System stages as multiple classes, we designed a deep neural network using the gene expression patterns and stages of neuroblastoma patients. Despite a small patient population (n = 280), stage 1 and 4 patients were well distinguished. If it is possible to replicate this approach in a larger population, deep learning could play an important role in neuroblastoma staging.