Kojic D.,Clinical Hospital Center Dr Dragisa Misovic Dedinje |
Vukotic V.,Clinical Hospital Center Dr Dragisa Misovic Dedinje |
Boricic I.,University of Belgrade |
Babic U.,Clinical Hospital Center Dr Dragisa Misovic Dedinje |
And 2 more authors.
Archives of Biological Sciences | Year: 2014
Adenomatoid tumor of the epididymis is a rare benign neoplasm of mesothelial origin, mostly localized in the epididymis. It is usually presented as an indolent, painless scrotal enlargement. Immunohistochemically it is characterized by strong positivity for calretinin and epithelial markers, while tumor marker values are within the reference ranges. In this paper, two cases of 28- and 37-year-old men with adenomatoid tumors of the epididymis are described. In both, the tumor was presented as an indolent, slowly growing palpable mass in the epididymis. Tumor markers were in the normal range, digital examination found painless scrotal enlargement, while ultrasound showed a nonhomogeneous tumor. Immunohistochemically, they were characterized by strong positivity for calretinin and epithelial markers. If a localized epididymal mass is found, it is necessary to conduct an adequate diagnostic examination to differentiate inflammatory process from the neoplasm. An excision of the lesion is the most recommended option that also preserves testicular function and fertility. Histological and immunohistochemical evaluation are mandatory for a definitive diagnosis.
Zeljkovic V.,Prince Mohammad Bin Fahd University |
Bojic M.,Clinical Hospital Center Dr Dragisa Misovic Dedinje
2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011 | Year: 2011
We propose in this paper automatic algorithm for early planocellular lung cancer detection in lung X ray images. Considering the fact that lung cancer is one of the most lethal cancers and that it is usually diagnosed too late, the solution is to attempt early diagnosis at general practitioners level, using cheapest diagnostic tools, chest radiography. The proposed algorithm determines and segments the suspected area in lung X ray images. It consists of two steps: comparison between extracted planocellular lung cancer structure and the analyzed lung X ray image by calculating similarity coefficients and finding the maximum similarity coefficient which will indicate the suspected cancer affected area in the lung image. The obtained results are promising and confirm that the proposed algorithm should serve as the foundation for future research in this area. © 2011 IEEE.
Grdinic A.,Clinical Hospital Center Dr Dragisa Misovic Dedinje |
Vojvodic D.,Military Medical Academy |
Djukanovic N.,Institute for Cardiovascular Diseases |
Colic M.,Institute for Cardiovascular Diseases Dedinje |
And 7 more authors.
Acta Cardiologica | Year: 2011
Objective This study on responsiveness to clopidogrel and aspirin evaluates its interaction with: (i) patient characteristics; (ii) procedure characteristics; (iii) antiplatelet dose. Methods and results After elective PCI, 60 patients receiving aspirin 100 mg daily, and clopidogrel 75mg daily were monitored with the PFA 100 test and VASP assay. Non-responsiveness to aspirin and clopidogrel was found in 23 (38%) and 18 (30%) of 60 patients, respectively. Seven (12%) patients were dual non- responders. Non-responders to both aspirin and clopidogrel were more often smokers. Non-responders to clopidogrel, in addition had elevated inflammatory markers (P < 0.05). Dual non-responders had (i) a higher platelet count, LDL, and CRP; (ii) a lower HDL (P < 0.05). Clopidogrel non-responders were receiving 150 mg clopidogrel, with a positive response in 72%. Eighty % of non-responders to 150 mg clopidogrel were also non-responders to aspirin. Conclusion Baseline patient characteristics and clopidogrel dose modify the antiplatelet response. Also, patients resistant to both aspirin and clopidogrel do no benefit from an increased clopidogrel dose.
Ignjatovic V.S.,Clinical Center Kragujevac |
Petrovic N.,Clinical Center Kragujevac |
Miloradovic V.,Clinical Center Kragujevac |
Ignjatovic S.,Medical Faculty Kragujevac |
And 8 more authors.
Coronary Artery Disease | Year: 2010
Purpose: Dual antiplatelet therapy is recommended after acute coronary syndrome or after percutaneous coronary intervention with coronary stent implantation. Many of the patients on dual antiplatelet therapy receive β-blockers; some of them could have antiaggregatory effect. Bisoprolol is a highly selective adrenoceptor-blocker, which is often used in the settings of percutaneous coronary intervention or acute coronary syndrome in patients on dual antiplatelet therapy. Its antiaggregative effect has not been extensively studied. Therefore, the aim of this study is to investigate the effect of bisoprolol on ADP-induced platelet aggregation in patients on dual antiplatelet therapy. Methods: Platelet aggregability has been measured in 100 patients on dual antiplatelet therapy with multiplate analyzer using ADP test in blood samples anticoagulated with heparin. ADP test values have been expressed by arbitrary units/minute. In univariate and multivariate regression analyses, we have investigated the influence of bisoprolol and its dose and also different factors, such as risk factors, concomitant drugs and their dosage, laboratory findings, on ADP test values. Results: Univariate regression analysis showed significant correlation between the bisoprolol dose and the ADP test value (P=0.046, B=52.55, 95% confidence interval 0.87-104.23), which was also shown in the multivariate regression analysis (P=0.018; B=57.011; 95% confidence interval 10.455-103.567). Conclusion: We have identified a positive correlation between bisoprolol dose and ADP-induced platelet aggregability in patients on dual antiplatelet therapy. © 2010 Wolters Kluwer Health | Lippincott Williams & Wilkins.
Zeljkovic V.,New York Institute of Technology |
Druzgalski C.,California State University, Long Beach |
Yequn L.,New York Institute of Technology |
Jian C.,New York Institute of Technology |
And 3 more authors.
Pan American Health Care Exchanges, PAHCE | Year: 2013
Epilepsy poses a significant burden to society due to associated healthcare costs to treat and control the unpredictable and spontaneous occurrence of seizures. There is a need for a quick screening process that could help neurologists diagnose and determine the patient's treatment. Electroencephalogram has been traditionally used to diagnose patients by evaluating brain functions that might correspond to epilepsy. This research focuses on developing a new classification technique and the prediction of pre-ictal states that announce epileptic seizures, from the direct EEG data analysis. The approach involves the placement of electrodes on critical regions on the patient's head as a part of a telemetry system which communicates with the EEG recorder and the DSP unit that performs automated pre-ictal state detection based on the obtained EEG signal. Studying potential preconditions and alerting the patient about a possible seizure attack so that s/he can take safety precautions has a potential to improve patient care management. © 2013 IEEE.