Makale detayı · 2018
Evaluation of complete blood count parameters to predict endometrial cancer
JOURNAL OF CLINICAL LABORATORY ANALYSIS
- Yıl
- 2018
- ISSN
0887-8013- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS YÖKSİS makale kaydı
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
İngilizce (OpenAlex)
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.
Konular
- Inflammatory Biomarkers in Disease Prognosis
- Digital Imaging for Blood Diseases
- Hematological disorders and diagnostics
Birincil konu Inflammatory Biomarkers in Disease Prognosis