A Nomogram for the Prediction of Invasiveness in Invasive Pulmonary Adenocarcinoma on the Basis of Multimodal PET/CT Parameters.

Objective: We investigated the value of PET/CT-based multimodal parameters in predicting the degree of differentiation and epidermal growth factor receptor (EGFR) mutations in invasive lung adenocarcinoma (ILA) and assessed the correlation between PET/CT-based multimodal parameters and Ki67.

Methods: We retrospectively collected 113 patients with ILA who underwent PET/CT examination, and differences in PET/CT multimodal parameters between different differentiation groups were analyzed. Binary logistic regression was used to establish a multiparameter model for predicting EGFR mutation, and ROC curve was used to compare the diagnostic efficiency.

F-FP-CIT dopamine transporter PET findings in the striatum and retina of type 1 diabetic rats.

Purpose: Noninvasive methods used in clinic to accurately detect DA neuron loss in diabetic brain injury and diabetic retinopathy have not been reported up to now. F-FP-CIT is a promising dopamine transporter (DAT) targeted probe. Our study first applies F-FP-CIT PET imaging to assess DA neuron loss in the striatum and retina of T1DM rat model.