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Articles by S. Suresh
Total Records ( 4 ) for S. Suresh
  Anita Ramesh , M.G. Rajanandh , S. Thanmayee , G. SalaghaMerin , S. Suresh and K. Satish Srinivas
  The primary aim of this study was to assess the impact of patient counseling by comparing the levels of patient’s medication adherence to oral chemotherapies in patients with metastatic cancer. Sixty patients were randomized into usual care and intervention care group. Their medication adherence was assessed by Medication Adherence Rating Scale (MARS). The belief about the medication was measured by Belief about Medication Questionnaire (BMQ). Patient’s satisfaction about medication was assessed by Satisfaction with Information about medicine scale (SIMS). All the three scales were assessed at baseline and during their subsequent appointments and at end visit. Sixty patients were included for the final data analysis. No statistical significant difference between the groups with respect to socio-demographic characteristics. No patients were in stage I and II category. According to MARS criteria, adherence rate was improved from 83.4-96.6%. The BMQ-necessity scale and concern scale was related in a negative and positive way to medication adherence, respectively. Significant increase in the SIMS score was observed in both part 1 and 2 and as well as in total score in the intervention care group from baseline to end visit. At the end of the study, intervention group patients had shown a greater improvement in the MARS, BMQ and SIMS score than the usual care group patients. However, by considering the small sample size, future studies are warranted to explore changes in adherence rate with time and clinical impact of non-adherence.
  Shirley Selvan , M. Kavitha , S. Shenbagadevi and S. Suresh
  Problem statement: Elastography is developed as a quantitative approach to imaging linear elastic properties of tissues to detect suspicious tumors. We propose an automatic feature extraction method in ultrasound elastography and echography for characterization of breast lesions. Approach: The proposed algorithm was tested on 40 pairs of biopsy proven ultrasound elastography and echography images of which 11 are cystic, 16 benign and 13 malignant lesions. Ultrasound elastography and echography images of breast tissue are acquired using Siemens (Acuston Antares) ultrasound scanner with a 7.3 MHz linear array transducer. The images were preprocessed and subjected to automatic threshold, resulting in binary images. The contours of a breast tumor from both echographic and elastographic images were segmented using level set method. Initially, six texture features of segmented lesions are computed from the two image types followed by computing three strain and two shape features using parameters from segmented lesions of both elastographic and echographic images. Results: These features were computed to assess their effectiveness at distinguishing benign, malignant and cystic lesions. It was found that the texture features extracted from benign and cystic lesions of an elastogram are more distinct than that of an ultrasound image .The strain and shape features of malignant lesions are distinct from that of benign lesions, but these features do not show much variation between benign and cystic lesions. Conclusion: As strain, shape and texture features are distinct for benign, malignant and cystic lesions, classification of breast lesions using these features is under implementation.
  T. Jai Sankar , R. Prabakaran , K. Senthamarai Kannan and S. Suresh
  This study proposes a technique using Autoregressive Integrated Moving Average (ARIMA) Model for cattle production. Stochastic modeling and forecasting plays a vital role in many fields such as agricultural production, animal husbandry economics, stock prices prediction, etc. ARIMA Model was introduced by Box and Jenkins. Hosking has introduced a family of models called fractionally differenced autoregressive integrated moving average models by generalizing the d fraction in ARIMA (p, d, q) models. Mandal was using ARIMA Model for analyzing sugarcane production. This study analysis the design of ARIMA process to select the appropriate model for cattle production in Tamilnadu. These results are verified on the basis of various diagnostic checking and error analysis which is used to forecast the future values. Also, results are shown by graphically and numerically.
  D. Senthil Rajan , M. Rajkumar , R. Srinivasan , R.P. Harikumar , S. Suresh and Senthil Kumar KL
  Seaweeds have been used by mankind as medicine and food for more than 13,000 years. Marine algae are considered to produce a valuable phytoconstituents characterized by a broad spectrum of antitumor activities. The aim of the present study was to explore the effect of different solvent extracts of Sargassum wightii, Greville against Dalton’s Ascitic Lymphoma (DAL) in Swiss male albino mice. DAL cells were injected intraperitoneally 1x106 cell to the mice. Two days after cells injection the animals were treated with different solvent extracts of Sargassum wightii at dose of 200 mg kg-1 for 14 days. 5-fluorouracil (20 mg kg-1) was used as reference drug. On day 11, cancer cell number, packed cell volume, decrease in tumour weight of the mice, increase in life span and hematological parameters were evaluated and compared with the same parameters in control. A significant increase in the life span and a decrease in the cancer cell number and tumour weight were noted in the tumour-induced mice after treatment with the extract. The haematological parameters were also normalized by the ethanolic and chloroform extracts in tumour-induced mice. These observations are suggestive of the protective effect of ethanolic extract of Sargassum wightii is comparatively better than other two tested extracts against Dalton’s Ascitic Lymphoma (DAL).
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