Dual-energy Spectral CT Quantitative Parameters for the Differentiation of Glioma Recurrence from Treatment-Related Changes: A Preliminary Study

• DOI: 10.21203/rs.2.15990/v1
• Publication Date: 2019-10-14T20:14:37Z
• Authors: Yanchun Lv; Jian Zhou; Xiaofei Lv; Li Tian; Haoqiang He; Zhigang Liu; Yi Wu; Lujun Han; Meili Sun; Yadi Yang; Chengcheng Guo; Cong Li; Rong Zhang; Chuanmiao Xie; Yinsheng Chen; Zhong-ping Chen
• Keywords: Hounsfield scale

Abstract Background: Differentiating glioma recurrence from treatment-related changes can be challenging on conventional imaging. We evaluated the use of dual-energy spectral computed tomographic (CT) quantitative parameters for this differentiation. Methods: Twenty-eight patients were examined by imaging CT. The slope Hounsfield unit curve (λ HU ), effective atomic number (Z eff normalized eff-N iodine concentration (IC), and (IC N ) in post-treatment enhanced areas calculated. Pathological results or clinicoradiologic follow-up ≥2 months used final diagnosis. Nonparametric t -tests to compare between changes. Positive predictive value (PPV), negative (NPV), accuracy calculated; sensitivity specificity calculated using receiver operating characteristic (ROC) curves. ROC curves generated probabilities evaluate diagnostic value. Results: There no significant differences based examination pre-contrast λ , Z IC, IC venous phase ( P >0.05). Venous higher than <0.001). optimal threshold was 1.03, 7.75, 1.04, 2.85 mg/cm 3 achieving 66.7%, 91.7%, 83.3%, 91.7% sensitivity; 100.0%, 77.8%, 88.9%, 77.8% specificity; 73.3%, 73.3% PPV; 81.8%, 93.3%, 93.3% NPV; 86.7%, 83.3% accuracy, respectively. under (AUC) 0.912, 0.931, 0.910 changes, Conclusions: Dual-energy CT may provide values aid differentiation