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        Metastases from Rectum and Thyroid Cancers in Same Cervical Lymph Node - A Case Report -

        Bulent Yildiz,Abdulkadir Reis,Evren Fidan,Feyyaz Ozdemir,Halil Kavgaci,Fazil Aydin 대한병리학회 2010 Journal of Pathology and Translational Medicine Vol.44 No.5

        An excisional biopsy targeting a cervical lymph node was performed on a 49-year-old female patient with metastatic rectal cancer. The biopsy revealed rectal and papillary thyroid cancer metastasis in the same lymph node. A thin-needle thyroid aspiration biopsy was performed, and the result was papillary thyroid carcinoma. The patient, who received chemotherapy for the metastatic rectal cancer, died due to disease progression about 5 months after a secondary primary tumor was detected. Metastasis of multiple malignancies in the same lymph node is extremely rare. A metastases of rectal and thyroid cancers to the same lymph node has not been reported until now. Our patient is the first case in the literature.

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        Determination of Ethanol in Blood Samples Using Partial Least Square Regression Applied to Surface Enhanced Raman Spectroscopy

        Acikgoz, Gunes,Hamamci, Berna,Yildiz, Abdulkadir Korean Society of ToxicologyKorea Environmental Mu 2018 Toxicological Research Vol.34 No.2

        Alcohol consumption triggers toxic effect to organs and tissues in the human body. The risks are essentially thought to be related to ethanol content in alcoholic beverages. The identification of ethanol in blood samples requires rapid, minimal sample handling, and non-destructive analysis, such as Raman Spectroscopy. This study aims to apply Raman Spectroscopy for identification of ethanol in blood samples. Silver nanoparticles were synthesized to obtain Surface Enhanced Raman Spectroscopy (SERS) spectra of blood samples. The SERS spectra were used for Partial Least Square (PLS) for determining ethanol quantitatively. To apply PLS method, $920{\sim}820cm^{-1}$ band interval was chosen and the spectral changes of the observed concentrations statistically associated with each other. The blood samples were examined according to this model and the quantity of ethanol was determined as that: first a calibration method was established. A strong relationship was observed between known concentration values and the values obtained by PLS method ($R^2=1$). Second instead of then, quantities of ethanol in 40 blood samples were predicted according to the calibration method. Quantitative analysis of the ethanol in the blood was done by analyzing the data obtained by Raman spectroscopy and the PLS method.

      • KCI등재

        Determination of Ethanol in Blood Samples Using Partial Least Square Regression Applied to Surface Enhanced Raman Spectroscopy

        Gune? Acikgoz,Berna Hamamci,Abdulkadir Yildiz 한국독성학회 2018 Toxicological Research Vol.34 No.2

        Alcohol consumption triggers toxic effect to organs and tissues in the human body. The risks are essentially thought to be related to ethanol content in alcoholic beverages. The identification of ethanol in blood samples requires rapid, minimal sample handling, and non-destructive analysis, such as Raman Spectroscopy. This study aims to apply Raman Spectroscopy for identification of ethanol in blood samples. Silver nanoparticles were synthesized to obtain Surface Enhanced Raman Spectroscopy (SERS) spectra of blood samples. The SERS spectra were used for Partial Least Square (PLS) for determining ethanol quantitatively. To apply PLS method, 920~820 cm<SUP>−1</SUP> band interval was chosen and the spectral changes of the observed concentrations statistically associated with each other. The blood samples were examined according to this model and the quantity of ethanol was determined as that: first a calibration method was established. A strong relationship was observed between known concentration values and the values obtained by PLS method (R² = 1). Second instead of then, quantities of ethanol in 40 blood samples were predicted according to the calibration method. Quantitative analysis of the ethanol in the blood was done by analyzing the data obtained by Raman spectroscopy and the PLS method.

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