Objective: Detection the level of YKL-40 biochemical marker and vitamin D level in sera of Iraqi uterine cancer
females' patients.
Methodology: This study included 90 female volunteers, 30 of them were healthy volunteers who were
considered as a control group, while sixty serum samples were collected from women patients suffering from
uterine tumors (30 malignant and 30 fibroid benign tumors), benign cases were considered as a disease
control group for malignant tumors. The average age of those females was 30-75 years, which matched the
control group. All the samples were collected from Azady hospital in Kirkuk and the gynecologic department at
Medical City in Baghdad during October /2012 to May /2013. All the serum samples were undergone
biochemical estimation for the levels of YKL-40, and 25 (OH) vitamin D using ELISA technique, and BMI data
were collected.
Results: Estimation of YKL-40 levels showed that there were 28 No. (93.33%) of EC patients had high level of
YKL-40, while 26 no. (86.67%) of fibroid (benign tumor) patients had low level, and 15(50.00 %) of healthy
control had low. There was a significant difference found in YKL-40 level in EC patients when compared with
the fibroid (benign tumor) patients and healthy control (Pvalue= 0.0001), (Pvalue= 0.0001) respectively. The
highest percent of women with EC and the women with fibroid (benign tumor) had deficiency of 25 (OH)
vitamin D levels (66.67%). While the highest percent of healthy control had sufficiency of 25(OH) vitamin D
level (56.67%). statistically there was significant difference among study groups (p=0.0001). Were as no
significant difference between EC patients and fibroid (benign tumor) patients (P-value =0.822).
Recommendations: Comparing between the ykl-40 marker and other tumor marker diagnostic levels in the
detection of uterine tumors. For further studies, we recommended study the diagnostic levels of ykl-40
marker and its correlation with other body tumors. It is recommended to do estimation of vitamin D levels
with more advanced method and correlation of its with disease.
The simulation of passively Q-switching is four non – linear first order differential equations. The optimization of passively Q-switching simulation was carried out using the constrained Rosenbrock technique. The maximization option in this technique was utilized to the fourth equation as an objective function; the parameters, γa, γc and β as were dealt with as decision variables. A FORTRAN program was written to determine the optimum values of the decision variables through the simulation of the four coupled equations, for ruby laser Q–switched by Dy +2: CaF2.For different Dy +2:CaF2 molecules number, the values of decision variables was predicted using our written program. The relaxation time of Dy +2: CaF2, used with ruby was
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