Spectral CT plain multi-parameter imaging in differentiating pathological subtypes of pure ground glass opacity lung adenocarcinoma / 中国医学影像技术

ABSTRACT

Objective: To explore the value of spectral CT plain multi-parameter imaging in judging pathological subtypes of lung adenocarcinoma with pure ground glass nodule (pGGN). Methods: Forty-five patients with pathological confirmed lung adenocarcinoma manifested as pGGN on spectral plain CT scan images were included and divided into group A (non IAC group, including 9 patients of situ adenocarcinoma [AIS] and 12 of microinvasive adenocarcinoma [MIA] ) and group B (invasive adenocarcinoma group, including 24 IAC patients). Monochromatic images at 70 keV with 40% adaptive statistical iterative reconstruction V (ASIR-V) were reconstructed and qualitative analyzed, including the lobulated sign, burr sign, vacuole sign, air bronchial sign as well as pleural indentation sign and abnormal vascular sign. Quantitative parameters, including CT values on monochromatic images raining from 40 keV to 140 keV, water concentration (WC), effective atomic number (Eff-Z) and spectral curve slope of k1-k3 (represent the slope of 40-70 keV, 71-100 keV, 101-140 keV respectively) were obtained and compared between 2 groups. Results: The occurrence rate of abnormal vascular sign in group B was higher than that in group A (P0.05). The k1 in group B was lower than that in group A (P0.05). The WC of group B was higher than that of group A (P0.05). Conclusion: Spectral CT plain multi-parameter imaging can provide a variety of quantitative parameters based on the morphological features of pGGN and more diagnostic information than routine CT, which is helpful to judging pathological subtypes of lung adenocarcinoma manifested as pGGN.