Textural pattern classification for oral squamous cell carcinoma.

Despite being an area of cancer with highest worldwide incidence, oral cancer yet remains to be widely researched. Studies on computer-aided analysis of pathological slides of oral cancer contribute a lot to the diagnosis and treatment of the disease. Some researches in this direction have been carried out on oral submucous fibrosis. In this work an approach for analysing abnormality based on textural features present in squamous cell carcinoma histological slides have been considered. Histogram and grey-level co-occurrence matrix approaches for extraction of textural features from biopsy images with normal and malignant cells are used here. Further, we have used linear support vector machine classifier for automated diagnosis of the oral cancer, which gives 100% accuracy.

A matched case control study of risk indicators of breast cancer in assam, India.

Breast cancer is the leading cause of cancer death among women worldwide especially in a developing country like India. It also occupies the highest place with relative proportion 17.5% in the Hospital Based Cancer Registry in progress in the Dr. B. Borooah Cancer Research Institute. Dr. B. Borooah Cancer Research Institute is the Regional Cancer Care Center for entire North East region of India. With this background a matched case control study of 100 cases of breast cancer and 100 controls was carried out to investigate the role of different Socio economic, Female Reproductive and Life style related factors and to understand the etiology of breast cancer in Assam. Controls are matched to the cases by age at diagnosis (±5 years), family income and place of residence with matching ratio 1:1. Data were collected using questionnaire and then conditional logistic regression analysis is used to estimate the odd ratios for several factors. Study revealed that breast cancer occurrence has statistical association with the factors chewing habits (p=0.003), number of children (p=0.080), age at marriage (p=0.014), age at first child birth (p=0.007), age at menarche (p=0.010).