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.
Automatic recognition of individuals is very important in modern eras. Biometric techniques have emerged as an answer to the matter of automatic individual recognition. This paper tends to give a technique to detect pupil which is a mixture of easy morphological operations and Hough Transform (HT) is presented in this paper. The circular area of the eye and pupil is divided by the morphological filter as well as the Hough Transform (HT) where the local Iris area has been converted into a rectangular block for the purpose of calculating inconsistencies in the image. This method is implemented and tested on the Chinese Academy of Sciences (CASIA V4) iris image database 249 person and the IIT Delhi (IITD) iris
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