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Evaluation of complete blood count parameters to predict endometrial cancer

机译:评价完整血液计数参数以预测子宫内膜癌

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Background Complete blood count parameters have been introduced to be diagnostic biomarkers for many cancer‐related diseases associated with inflammatory process. The aim of our study was to detect whether there is any relationship between benign or malignant endometrial pathologies and complete blood count parameters. Methods Four hundred and sixteen patients with a complaint of abnormal uterine bleeding who admitted to Zeynep Kamil Women and Children's Health Training and Research hospital between 2013 and 2016 and undergoing endometrial biopsy were included in the study. The patients were evaluated in three groups as follows: endometrial carcinoma (n: 97), endometrial hyperplasia (n: 135), and healthy control (n: 184) groups. All patients had a complete blood count on the day of biopsy or within the week of the biopsy, and the presence of a relationship between complete blood count parameters and benign or malignant endometrial disease was investigated. Results Mean corpuscular volume measurements were found to be significantly higher in endometrial carcinoma ( P? = ? .018) and endometrial hyperplasia ( P? = ? .001) groups compared to the control group. While red cell distribution width measurements were found to be significantly lower in patients with endometrial carcinoma group compared to other groups ( P? ? .01); the area under curve obtained for MPV is 58.7% to determine endometrial carcinoma. Conclusion Mean corpuscular volume and red cell distribution width are bio‐markers that we can use as the predictive marker in patients with endometrial carcinoma and which are cheap, repeatable, and readily obtainable from complete blood count panels and promising.
机译:背景技术已经引入完整的血统计数参数是诊断生物标志物,用于许多与炎症过程相关的癌症相关疾病。我们的研究目的是检测良性或恶性子宫内膜病理和完整血液计数参数之间是否存在任何关系。方法研究Zeynep Kamil妇女和儿童健康培训和研究院的异常子宫出血患者的四百六十六患者在2013年至2016年间患有子宫内膜活检。患者以三组评估如下:子宫内膜癌(N:97),子宫内膜增生(N:135),健康对照(N:184)组。所有患者在活组织检查日或在活组织检查的一周内患有完整的血统,并且研究了完全血统计数参数和良性或恶性子宫内膜疾病之间的关系。结果,与对照组相比,发现子宫内膜癌(P?=β018)和子宫内膜增生(P?=β.001)组显着较高。虽然发现子宫内膜癌基团的红色细胞分布宽度测量结果与其他基团相比(p≤01);用于MPV的曲线下的面积为58.7%,以确定子宫内膜癌。结论是肉植物体积和红细胞分布宽度是生物标记,我们可以用作子宫内膜癌患者的预测标志物,并且可以从完全血统的统计板和有前途获得廉价,可重复,并且容易地获得。

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