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Thyroid surgery is the most common surgical procedure among endocrine surgeries. It is performed in patients with suspected malignancy, patients diagnosed with malignancy, and for toxic nodular goiter [1]. Fine-needle aspiration biopsy (FNAB) is used as a daily technique in preoperative evaluation to differentiate malignant and benign nodules. However, complications including hematoma formation, tumor transplantation along the needle trace, thyroid nodule infarction and vascular proliferation can be seen even in this minimally invasive procedure [2]. Therefore, the differentiation of benign and malignant groups using non-interventional methods before surgery has become important.
Cancer-related inflammation, including papillary thyroid carcinoma, is involved in carcinogenesis and progression of neoplastic disease [3,4]. Neutrophils induced by the tumor can accelerate tumor metastasis [3,5]. Lymphocytes, as the cornerstone of the adaptive immune system, inhibit tumor cell proliferation and migration as well as destroying metastases [3,6]. Previous studies have shown that increased lymphocyte count has a positive effect on better survival in patients with advanced cancer [7]. Furthermore, Kupffer cells, also known as liver macrophages, destroy circulating cancer cells and help the distribution of tumor cells via circulation. Therefore, routine blood tests have been investigated as a predictive or prognostic factor for carcinomas since blood parameters in these tests show whether there is inflammation. Neutrophil count, lymphocyte count, neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), mean platelet volume (MPV), and platelet distribution width (PDW) have been studied in terms of numerous malignancies [3].
Tumor-related inflammation is activated the bone marrow and inflammation induced by malignancies. Inflammatory activity that is poorly controlled or uncontrollable may be responsible for malignant transformation [8]. At this point, NLR has previously been shown to be useful in the differentiation of thyroid malignancies and benign thyroid diseases [9]. Delta neutrophil index (DNI) / increased number of immature granulocytes (IG) represents active bone marrow. Delta neutrophil index, which is manifested by IG formation in inflammatory and infectious events, shows changes in the white blood cell count [10].
This study aimed to evaluate the relation between the automatically calculated DNI/IG count and manually calculated NLR from the preoperative complete blood count (CB) parameters, and thyroid malignancies with a cost-effective non-invasive method before surgery or biopsy as the indicator of the malignant inflammatory response in the differentiation of nodular goiter and thyroid malignancy.
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Material-Methods Patients over the age of 18 who underwent thyroid surgery and who were operated on non-malignant benign causes (inguinal hernia) under selective conditions without any thyroid disease between November 2014 and November 2019 in Kahramanmaraş Sütçü İmam University Department of General Surgery were evaluated in this retrospective case-control cohort study. Patients in the thyroid pathology group (Group T) were divided into two subgroups according to their pathologic results: malignant (Group M) and benign thyroid disorders (Group B). Patients operated for inguinal hernia, were selected as control group (Group C).
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Preoperative biopsy results of patients undergoing FNAB in the preoperative period were investigated according to the Bethesda Classification System [11]. Neutrophil - lymphocyte count in the routine complete blood count (CBC) values, which were measured in the preoperative period and the postoperative sixth-month follow-ups, were recorded retrospectively and calculated manually. DNI (IG percentage) and IG counts were recorded from the values measured automatically in the CBC performed in the preoperative period and the postoperative sixth-month. Patient data were obtained from patient epicrisis forms and preoperative laboratory and postoperative pathology results recorded in the computer system.
Statistical Analysis The power analysis of the study was conducted with G-Power 3.0.10 programming system. Estimated power analysis and the sample size with an 0.8 power and effect size 0.1 according to three groups evaluation for 2 repeated measures in need of total 246 samples.
Statistical analysis was performed using IBM Social Package for the Social Sciences (SPSS) version 20 software. In the evaluation of independent groups, Kolmogorov-Smirnov and Shapiro-Wilk tests were used to determine if the distrubiton of variables were normal or not. Student t-test or Mann-Whitney U test was used to evaluate the numerical data between Group C and Group T. ANOVA or Kruskal Wallis test was used to evaluate numerical data for subgroup relations with Group C. Chi-square test or Fischer's exact test was used to evaluate categorical data. The repeated-measures ANOVA was used to evaluate the differences between the preoperative and postoperative periods. The data were evaluated using Posthoc Tukey's B test following the variance analysis. Sensitivity and specificity values and cut-off values were obtained via the receiver operating characteristic (ROC) analysis to evaluate the effectiveness of NLR, IG count, and DNI.
Numerical data were expressed as mean ± standard deviation (minimum-maximum values) or median (minimum-maximum values) according to the normal distribution. Categorical values were expressed as percentages (%).
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333 participants in 3 patient groups
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