AI Summary & Key Takeaways
AI InsightHowever, the usability of these markers for predicting pathological features is unsatisfactory.
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Özet
BACKGROUND/AIMS To evaluate the variations in platelet indices (PIs), including platelet count, mean platelet volume (MPV), platelet distribution width (PDW), and plateletcrit (PCT), in cervical cancer (CC) and to evaluate the relationship between these PIs and pathological features of tumor (i.e., tumor stage and size, depth of stromal invasion, lymphovascular space invasion (LVSI), and histological type). MATERIAL and METHODS This retrospective, comparative study included 40 patients with CC who underwent complete clinical staging and 80 healthy controls at a tertiary center between 2007 and 2017. Groups were compared using independent sample t-tests and Mann–Whitney U tests. Variables with a p 0.05). Mean MPV and PCT were significantly lower (p=0.002 and p=0.026, respectively), and PDW was significantly higher (p=0.049) in the CC group than in the control group. The platelet count did not differ significantly between the groups (p=0.558). The optimal cut-off points of MPV, PDW, and PCT levels for discriminating between the groups were 10.45 fL, 13 fL, and 0.28%, respectively. Except a significant relationship between low PCT level and positive LVSI (p=0.01), there was no significant relationship between PIs and pathological features. CONCLUSION Low MPV and PDW and high PCT may be considered as a useful additional tool for preoperative diagnosis of CC. However, the usability of these markers for predicting pathological features is unsatisfactory.