Feasibility of prognosis assessment for cancer of unknown primary origin using texture analysis of 18F-fluorodeoxyglucose PET/computed tomography images of largest metastatic lymph node

Objective Cancers of unknown primary origin cannot be staged using images, making the prognosis difficult. We attempted to predict prognosis of patients with unknown primary origin using tumour heterogeneity recently introduced in 18F-fluorodeoxyglucose (18F-FDG) PET/computed tomography (CT). Methods Overall, 30 patients with unknown primary origin who underwent whole-body 18F-FDG PET/CT scans were retrospectively enrolled for texture analysis. The volume of interest was placed in the largest metastatic lymph nodes and conventional parameters and grey-level co-occurrence matrix (GLCM) were calculated. Statistical analysis of image-based variables was performed using Cox regression analyses. Patients were stratified into two groups based on cutoff values of GLCMentropy obtained using receiver operating characteristics (ROCs). Patients were analyzed, and overall survival (OS) was compared using Kaplan–Meier analysis. Results Univariate Cox regression analysis showed significant differences in prognosis for parenchymal organ metastasis (P 
Source: Nuclear Medicine Communications - Category: Nuclear Medicine Tags: Original Articles Source Type: research