BackgroundNutritional derangements are common hallmarks of non-small-cell lung cancer (NSCLC). Nevertheless, their early detection is overlooked in clinical routine. This study aimed to evaluate nutritional status and its correlation with outcome in NSCLC patients.MethodsData regarding NSCLC patients undergoing nutritional evaluation were prospectively collected (May 2016–October 2018). Nutritional risk was assessed by Nutritional Risk Screening 2002 (NRS-2002). Bilateral psoas major muscles were measured at L3 vertebrae level with routine staging-computed tomography and changes were evaluated using Wilcoxon signed-rank test. Clinico-pathological and nutritional data were correlated to progression-free/overall survival (PFS/OS) and response rate (ORR) using a Cox and logistic regression model. Kaplan–Meier curves were compared with log-rank test.ResultsThirty-eight patients were included. The majority (65.8%) of them were at nutritional risk (NRS-2002 ≥3). At multivariate analysis for patients with advanced disease, age (HR 2.44, p=0.05), performance status (HR 2.48, p=0.043) and NRS-2002 (HR 1.74, p=0.001) were significant independent predictors for PFS and weight loss (HR 1.07, p=0.008) for OS. Patients with baseline NRS-2002 <3 had significantly longer 1-year PFS (85.7% vs 19.4%, p=0.02) and higher ORR (66.7% vs 21.4%) than those with NRS-2002 ≥3. An explorative evaluation demonstrated that NRS-2002 score significantly decreased after nutritional intervention (p=0.001) for 3 months.ConclusionBaseline nutritional risk represents a prognostic factor in NSCLC. Nutritional counselling should be applied as a fundamental tool to improve nutritional risk in a short period, ameliorating patients’ outcome.

Pancreatic neuroendocrine tumors (p-NETs) are a rare group of neoplasms that often present with liver metastases. Histological characteristics, metabolic behavior, and liver tumor burden (LTB) are important prognostic factors. In this study, the usefulness of texture analysis of liver metastases in evaluating the biological aggressiveness of p-NETs was assessed. Fifty-six patients with liver metastases from p-NET were retrospectively enrolled. Qualitative and quantitative CT features of LTB were evaluated. Histogram-derived parameters of liver metastases were calculated and correlated with the tumor grade (G) and 18F-fluorodeoxyglucose (18F-FDG) standardized uptake value (SUV). Arterial relative enhancement was inversely related with G (−0.37, p = 0.006). Different metastatic spread patterns of LTB were not associated with histological grade. Arterialentropy was significantly correlated to G (−0.368, p = 0.038) and to Ki67 percentage (−0.421, p = 0.018). The ROC curve for the Arterialentropy reported an area under the curve (AUC) of 0.736 (95% confidence interval 0.545–0.928, p = 0.035) in the identification of G1–2 tumors. Arterialuniformity values were correlated to G (0.346, p = 0.005) and Ki67 levels (0.383, p = 0.033). Arterialentropy values were directly correlated with the SUV (0.449, p = 0.047) which was inversely correlated with Arterialuniformity (−0.499, p = 0.025). Skewness and kurtosis reported no significant correlations. In conclusion, histogram-derived parameters may predict adverse histological features and metabolic behavior of p-NET liver metastases.

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