eISSN: 1897-4309
ISSN: 1428-2526
Contemporary Oncology/Współczesna Onkologia
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SCImago Journal & Country Rank
1/2021
vol. 25
 
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abstract:
Original paper

The role of inflammation biomarkers in differential diagnosis of pelvic tumours of ovarian origin: a single-centre observational study

Victoria Psomiadou
1
,
Anastasia Prodromidou
2
,
Elpis Galati
1
,
Ioannis D. Kostakis
3
,
Athanasios Maliaros
1
,
Ioannis Mamais
1
,
Nikolaos Blontzos
1
,
Fotios Lefkopoulos
1
,
Christos Iavazzo
1
,
George Vorgias
1

1.
Department of Gynaecological Oncology, Metaxa Memorial Cancer Hospital, Piraeus, Greece
2.
Department of Surgical Oncology, Metaxa Memorial Cancer Hospital, Piraeus, Greece
3.
Department of Transplantation, Guy’s Hospital, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
Contemp Oncol (Pozn) 2021; 25 (1): 7–11
Online publish date: 2021/04/15
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Introduction
Our aim was to analyse the feasibility of white blood cell and platelet counts along with their ratios as a prognostic factor in patients who underwent surgery for ovarian mass.

Material and methods
We retrospectively studied the patients admitted in the Department of Gynaecology due to adnexal mass. The potential association of the neutrophil-to-lymphocyte-ratio (NLR), neutrophil-to-monocyte (NMR), platelet-to-lymphocyte (PLR), lymphocyte-to-monocyte (LMR), monocyte-to-platelet, and malignancy was evaluated.

Results
Patients with malignant tumours were found with significantly higher ratios of NLR (p < 0.001) and PLR (p < 0.001) and lower LMR ratio (p < 0.001) compared to those with benign tumours. Furthermore, higher lymphocyte count (p = 0.04) and platelet count (p = 0.004) were found in cancer patients when compared with borderline tumours. No significant variations were detected regarding white blood cell count (p = 0.238), NMR ratio (p = 0.28), platelet-to-neutrophil ratio (p = 0.12), and platelet-to-monocyte ratio (p = 0.34).

Conclusions
Inflammation biomarker ratios can easily and inexpensive assist in distinguishing malignant ovarian tumours from benign ones.

keywords:

pelvic tumours, inflammation biomarkers, differential diagnosis

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