作为甲状腺结节恶性肿瘤预测标志物的炎症参数评估:与贝塞斯达分类的相关性研究。

Mustafa C Şenoymak, Süleyman Baş, Murat Yeniçeri, Kadem Arslan, Erdinç Yaman, Hasan H Çoban, Dilek Yavuzer, Alpaslan Tanoğlu
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引用次数: 0

摘要

目的:本研究旨在评估炎症参数作为甲状腺结节患者恶性肿瘤潜在标志物的预测意义:研究旨在评估炎症参数作为甲状腺结节患者恶性肿瘤潜在标志物的预测意义:纳入91名接受甲状腺细针穿刺活检的甲状腺结节患者,并根据贝塞斯达系统进行分类。每个患者的中性粒细胞淋巴细胞比率(NLR)和全身免疫炎症指数(SII)值均由血图参数得出。研究探讨了贝塞斯达分类与 NLR/SII 水平之间的相关性。此外,还对良性和恶性贝塞斯达组的炎症参数进行了比较:结果:573 名患者被分为贝塞斯达 2 组(良性),34 名被分为贝塞斯达 6 组(恶性)。贝塞斯达分类与 NLR 和 SII 水平之间存在相关性(r:0.230,p < 0.001;r:0.207,p < 0.001)。恶性组的 NLR 和 SII 值明显更高(p < 0.001)。预测良性和恶性甲状腺结节的 SII 临界值为 489.86 × 103/mm3,敏感性为 88.2%,特异性为 63.7%。同样预测的 NLR 临界值为 2.06,敏感性为 82.4%,特异性为 83.4%:本研究结果表明,SII和NLR可能是预测甲状腺结节恶性程度的重要预后指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of inflammatory parameters as predictive markers for malignancy in thyroid nodules: a study on the correlation with Bethesda classification.

Objective: The study aimed to assess the predictive significance of inflammatory parameters as potential markers for malignancy in individuals with thyroid nodules.

Method: Nine hundred and ninety-one patients with thyroid nodules who had undergone thyroid fine-needle aspiration biopsy were included and classified according to the Bethesda system. Neutrophil lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) values obtained from hemogram parameters were determined for each patient. The study examined the correlation between the Bethesda classification and NLR/SII levels. In addition, a comparison was made between the inflammatory parameters of the benign and malignant Bethesda groups.

Results: Five hundred and seventy-three patients were classified as Bethesda 2 (benign), 34 as Bethesda 6 (malignant). A correlation was observed between the Bethesda classification and NLR and SII levels (r: 0.230, p < 0.001; r: 0.207 p < 0.001, respectively). NLR and SII values were significantly higher in the malignant group (p < 0.001). The cutoff value for SII in predicting benign and malignant thyroid nodules was 489.86 × 103/mm3 with a sensitivity of 88.2% and a specificity of 63.7%. The cutoff value for NLR for the same prediction was 2.06 with a sensitivity of 82.4% and a specificity of 83.4%.

Conclusions: The findings of this study indicate that SII and NLR may be valuable prognostic markers for predicting the malignancy of thyroid nodules.

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