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

Author:

Kumar Neeraj12,Sharma Mini1,Aggarwal Neeti2,Sharma Sanjiv3,Sarkar Malay4,Singh Balraj5,Sharma Navneet2

Affiliation:

1. Dr Rajendra Prasad Medical College, Kangra, Himachal Pradesh, India

2. Indira Gandhi Medical College, Shimla, Himachal Pradesh, India

3. Department of Radio-diagnosis, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India

4. Department of Pulmonary Medicine, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India

5. Department of Community Medicine and Epidemiology, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India

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.

Publisher

SAGE Publications

Subject

Radiology Nuclear Medicine and imaging,General Medicine

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