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

• Published in: Canadian Association of Radiologists journal 2021-08, Vol.72 (3), p.525-532
• Main Authors: Kumar, Neeraj, Sharma, Mini, Aggarwal, Neeti, Sharma, Sanjiv, Sarkar, Malay, Singh, Balraj, Sharma, Navneet
• Format: Article
• Language: English
• Subjects: Diagnostic systems; Diffusion; Diffusion coefficient; Histopathology; Lesions; Lungs; Magnetic resonance imaging; Malignancy; Mathematical analysis; Medical imaging; Parameter sensitivity; Perfusion; Pulmonary lesions; Sensitivity; Spinal cord; Statistical analysis
• ISSN: 0846-5371; 1488-2361
• DOI: 10.1177/0846537120914894

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.