A histogram analysis approach has been shown to be a premising tool in discriminating malignant and benign SPNs in terms of their heterogeneity. The purpose of our study was thus to primarily assess the diagnostic performance of DCE-MRI for stratifying the malignant and benign using histogram analysis. The results showed that the mean value of Ktrans and Kep, Kurtosis and skewness assessments from Ve of DCE-MRI histograms may be useful for differentiating malignant from benign SPNs.
Quantitative dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) reveals the tissue perfusion and permeability by its pharmacokinetics parameters and often applied for the cancer study in terms of differentiating malignant from benign tumors. Before, the mean value of each quantitative parameters was the only label which could not demonstrate the heterogeneity of the tumors. Histogram analysis is a useful tool of distinguishing the tumor’s heterogeneity.Before, for lung imaging, most studies focused on the density histogram analysis using CT which could provide meaningful information on the characteristics of lung nodules 1,2. Little study of histogram analysis of DCE-MRI for the differential diagnosis of solitary pulmonary nodules (SPNs) . Thus, our study aim was to prospectively evaluate histogram analysis of pharmacokinetic parameters of quantitative DCE-MRI for discriminating malignant and benign SPNs.
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