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使用全身炎症标志物和扩散权重磁共振图像评估状瘤

Ahmet Ufuk Kilictas¹, Ozlem Celebi Erdivanlı², Mehmet Birinci²

¹Department of Otorhinolaryngology, Konya City Hospital, Konya, Türkiye.

Acta oto-laryngologica

|September 12, 2025

概括

像血小板与淋巴细胞比率 (PLR) 这样的全身炎症标志物可以改善状腺瘤恶性病的预测. 来自MRI的明显扩散系数 (ADC) 有助于区分瘤亚型,而不是整体恶性瘤.

科学领域:

在瘤学瘤学.
放射学放射学是一门学科.
病理学病理学病理学

背景情况:

在手术前分辨良性和恶性瘤是困难的.
从扩散权重磁共振成像 (DW-MRI) 获得的明显扩散系数 (ADC) 和系统性炎症标记 (中性粒细胞与淋巴细胞的比率 (NLR),血小板与淋巴细胞的比率 (PLR)) 是潜在的非侵入性工具.

研究的目的:

评估ADC,NLR和PLR的诊断价值,以区分良性和恶性瘤.
评估它们在区分主要的病学亚型中的有用性.

主要方法:

对108名确诊患有瘤的患者进行了回顾性研究.
从DW-MRI获得的ADC值;从手术前的CBC获得的NLR和PLR.
使用了一个决策树模型 (年龄,性别,ADC,PLR,NLR) 和ROC分析.

主要成果:

决策树在恶性瘤预测方面达到0.837的AUC,年龄和PLR是关键预测因素.
ADC对恶性瘤预测没有显著影响 (AUC=0.837) 但对亚型分类有效 (例如,小瘤与多形腺瘤:AUC=0.891).

结论:

系统性炎症标志物 (NLR,PLR) 增强状腺瘤恶性病的预测.
ADC对于区分组织病理学亚型非常有价值.

关键词:

这种瘤是 Parotid 瘤.良性良性的扩散权重的磁共振成像技术恶性恶性恶性恶性系统性炎症系统性炎症

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