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Diagnostic efficacy of multiple MRI parameters in differentiating benign vs. malignant thyroid nodules

机译:多个MRI参数在鉴别甲状腺良恶性结节中的诊断功效

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Diffusion weighted imaging (DWI) has a good diagnostic value for malignant thyroid nodules, but the published protocols suffer from flaws and focus on the apparent diffusion coefficient (ADC). This study investigated the diagnostic performance of multiple MRI parameters in differentiating malignant from benign thyroid nodules. This was a retrospective study of 181 consecutive patients (148 benign and 111 malignant nodules, confirmed by pathological results). The patients underwent conventional MRI, DWI, and dynamic contrast-enhanced MRI before surgery. The chi-square test and the Student t test were used to compare the conventional features and ADC value between malignant and benign groups. Multivariate logistic regression was used to identify the independent predictors and to construct a model. Receiver operator characteristic (ROC) curve analysis was used to assess the diagnostic performance of the independent variables and model. Tumor diameter, ADC value, cystic degeneration, pseudocapsule sign, high signal cystic area on T1-weighted imaging, ring sign in the delayed phase, and irregular shape showed significant differences between two groups (all P??0.05). The multivariable analysis revealed that ADC value (OR?=?694.006, P??0.001), irregular shape (OR?=?32.798, P??0.001), ring sign in the delayed phase (OR?=?20.381, P?=?0.004), and cystic degeneration (OR?=?8.468, P?=?0.016) were independent predictors. Among them, ADC performed the best in discriminating benign from malignant nodules, with an area under the curve (AUC) of 0.95, 0.90 sensitivity, and 0.91 specificity. When the independent factors were combined, the diagnostic performance was improved with an AUC of 0.99, 0.97 sensitivity, and 0.95 specificity. ADC value could discriminate between benign and malignant thyroid nodules with a good performance. Subjective features such as the ring sign, irregular shape, and cystic degeneration associated with malignant thyroid nodules could provide complementary information for differentiation.
机译:弥散加权成像(DWI)对恶性甲状腺结节具有良好的诊断价值,但已发表的方案存在缺陷,并且侧重于表观弥散系数(ADC)。这项研究调查了多个MRI参数在区分甲状腺良性结节和恶性肿瘤中的诊断性能。这是一项对181例连续患者(148例良性结节和111例恶性结节,经病理结果证实)的回顾性研究。患者在手术前接受了常规MRI,DWI和动态对比增强MRI。卡方检验和St​​udent t检验用于比较恶性和良性组之间的常规特征和ADC值。多元逻辑回归用于识别独立的预测因素并构建模型。接收者操作员特征(ROC)曲线分析用于评估自变量和模型的诊断性能。两组之间的肿瘤直径,ADC值,囊性变性,假囊征,T1加权成像上的高信号囊性区域,延迟期的环征和不规则形状均显示出显着差异(所有P <0.05)。多变量分析显示,ADC值(OR?=?694.006,P?<?0.001),不规则形状(OR?=?32.798,P?<?0.001),在延迟相中出现环符号(OR?=?20.381, P≥0.004)和囊性变性(OR≥8.468,P≥0.016)是独立的预测因子。其中,ADC在区分良恶性结节方面表现最佳,其曲线下面积(AUC)为0.95,灵敏度为0.90和特异性为0.91。组合独立因素后,AUC为0.99,灵敏度为0.97和特异性为0.95时,诊断性能得到改善。 ADC值可以区分甲状腺结节是良性还是恶性,表现良好。诸如环形征,不规则形状和与甲状腺恶性结节相关的囊性变性等主观特征可以为分化提供补充信息。

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