各种DW MRI和DCE MRI参数作为肺实性病变恶性预测的作用。

Neeraj Kumar, Mini Sharma, Neeti Aggarwal, Sanjiv Sharma, Malay Sarkar, Balraj Singh, Navneet Sharma
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引用次数: 4

摘要

目的:我们的目的是评估各种扩散和动态对比增强磁共振成像(DCE MRI)参数鉴别肺病变的恶性和良性。方法:在横断面研究中,我们招募了31例(22例男性)肺实性病变>2 cm的患者。其中23例(74.2%)经组织病理学检查为恶性。采用36个动态测量(容积内插式屏气检查)进行动态对比增强MRI。扩散加权MRI (DW MRI)在800 s/mm2的b值下进行。我们测量了不同的扩散和灌注参数,如弥散加权成像(DWI) SI、平均表观扩散系数(ADC)、最小ADC、病变与脊髓比值、DWI评分、T2评分、Ktrans、Kep和Ve。我们将每个参数的值分层,如果它>我们数据集中观察到的值的中位数,则为高,如果它≤中位数,则为低。正态分布资料比较采用非配对t检验,非正态连续资料比较采用Kruskal Wallis-H检验。以组织病理学检查为金标准,应用Wilson评分法计算病变类型中有统计学意义的参数的敏感性、特异性和预测值。结果:不同病变类型弥散加权成像SI、平均ADC、最小ADC、DWI评分及Ktrans值差异有统计学意义(P值< 0.05)。在这些参数中,Ktrans的诊断准确率最高(74.2%)。结论:Ktrans与平均ADC敏感性相近,为65.2%。然而,在各种DWI和DCE MRI参数中,Ktrans在预测实性肺病变恶性方面具有最高的诊断准确性。在我们的研究中,我们发现Ktrans的截止值为0.251 min-1,为100%特异性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Role of Various DW MRI and DCE MRI Parameters as Predictors of Malignancy in Solid Pulmonary Lesions.

Purpose: We aimed to evaluate various diffusion and dynamic contrast-enhanced magnetic resonance imaging (DCE MRI) parameters in differentiating malignant from benign pulmonary lesions.

Methods: We enrolled 31 (22 males) patients who had solid pulmonary lesion(s) >2 cm in our cross sectional study. Of these, 23 (74.2%) were found to be malignant on histopathology. Dynamic contrast-enhanced MRI was performed using 36 dynamic measurements (volumetric interpolated breath-hold examination). Diffusion-weighted MRI (DW MRI) performed at b value of 800 s/mm2. We measured different diffusion and perfusion parameters, for example, diffusion-weighted imaging (DWI) SI, mean apparent diffusion coefficient (ADC), minimum ADC, lesion-to-spinal cord ratio, DWI score, T2 score, Ktrans, Kep, and Ve. We stratified values of each parameter as high if it was >median of values observed in our data set and low if it was ≤median. Normally distributed data were compared by unpaired t test, whereas non-normal continuous data were compared by Kruskal Wallis-H test. We applied Wilson score method to calculate sensitivity, specificity, and predictive values of parameters that were statistically significant by type of lesion with reference to histopathological examination as gold standard.

Results: Diffusion-weighted imaging SI, mean ADC, minimum ADC, DWI score and Ktrans values were found to be significantly different (P value < .05) by type of lesion. Ktrans was found to have the highest diagnostic accuracy (74.2%) among these parameters.

Conclusion: Ktrans and mean ADC had similar sensitivity of 65.2%. However, Ktrans had highest diagnostic accuracy among various DWI and DCE MRI parameters in predicting malignancy in solid pulmonary lesions. In our study, we found a cutoff value 0.251 min-1 for Ktrans as 100% specific.

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