Role of Various DW MRI and DCE MRI Parameters as Predictors of Malignancy in Solid Pulmonary Lesions.

Neeraj Kumar, Mini Sharma, Neeti Aggarwal, Sanjiv Sharma, Malay Sarkar, Balraj Singh, Navneet Sharma
{"title":"Role of Various DW MRI and DCE MRI Parameters as Predictors of Malignancy in Solid Pulmonary Lesions.","authors":"Neeraj Kumar,&nbsp;Mini Sharma,&nbsp;Neeti Aggarwal,&nbsp;Sanjiv Sharma,&nbsp;Malay Sarkar,&nbsp;Balraj Singh,&nbsp;Navneet Sharma","doi":"10.1177/0846537120914894","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>We aimed to evaluate various diffusion and dynamic contrast-enhanced magnetic resonance imaging (DCE MRI) parameters in differentiating malignant from benign pulmonary lesions.</p><p><strong>Methods: </strong>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 <i>b</i> value of 800 s/mm<sup>2</sup>. 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, <i>K<sup>trans</sup></i>, <i>K<sub>ep</sub></i>, and <i>V<sub>e</sub></i>. 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 <i>t</i> 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.</p><p><strong>Results: </strong>Diffusion-weighted imaging SI, mean ADC, minimum ADC, DWI score and <i>K<sup>trans</sup></i> values were found to be significantly different (<i>P</i> value < .05) by type of lesion. <i>K<sup>trans</sup></i> was found to have the highest diagnostic accuracy (74.2%) among these parameters.</p><p><strong>Conclusion: </strong><i>K<sup>trans</sup></i> and mean ADC had similar sensitivity of 65.2%. However, <i>K<sup>trans</sup></i> 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<sup>-1</sup> for <i>K<sup>trans</sup></i> as 100% specific.</p>","PeriodicalId":444006,"journal":{"name":"Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes","volume":" ","pages":"525-532"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0846537120914894","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/0846537120914894","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/4/8 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

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.

各种DW MRI和DCE MRI参数作为肺实性病变恶性预测的作用。
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。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信