The goal of this study was to compare visual assessment of intratumor 18 F-FDG PET uptake distribution with a textural-features (TF) automated quantification and to establish their respective prognostic value in non-small cell lung cancer (NSCLC). Methods: The study retrospectively included 102 consecutive patients. Only primary tumors were considered. Intratumor heterogeneity was visually scored (3-level scale [H visu ]) by 2 nuclear medicine physicians. Tumor volumes were automatically delineated, and heterogeneity was quantified with TF. Mean and maximum standardized uptake value were also included. Visual interobserver agreement and correlations with quantitative assessment were evaluated using the κ test and Spearman rank (ρ) coefficient, respectively. Association with overall survival and recurrencefree survival was investigated using the Kaplan-Meier method and Cox regression models. Results: Moderate correlations (0.4 , ρ , 0.6) between TF parameters and H visu were observed. Interobserver agreement for H visu was moderate (κ 5 0.64, discrepancies in 27% of the cases). High standardized uptake value, large metabolic volumes, and high heterogeneity according to TF were associated with poorer overall survival and recurrence-free survival and remained an independent prognostic factor of overall survival with respect to clinical variables. Conclusion: Quantification of 18 F-FDG uptake heterogeneity in NSCLC through TF was correlated with visual assessment by experts. However, TF also constitutes an objective heterogeneity quantification, with reduced interobserver variability, and independent prognostic value potentially useful for patient stratification and management. PET/ CT imaging with 18 F-FDG is today a well-established tool for diagnostic oncology applications (1). Its exploitation for tumor delineation in the planning of radiotherapy treatment (2) or monitoring of response to therapy (3,4) is increasing. For non-small cell lung cancer (NSCLC), 18 F-FDG PET/CT image quantification has been shown to provide prognostic information. PET image-derived features, including metabolically active tumor volume (MATV), mean standardized uptake value (SUV mean ), and total lesion glycolysis (TLG, defined as MATV · SUV mean ), have been shown to provide an accurate assessment of tumor burden with potentially higher prognostic value than standard maximum SUV (SUV max ), for both surgical and nonsurgical patients (5-9).Intratumor 18 F-FDG uptake heterogeneity has been associated with treatment failure (10), and its quantification has recently generated interest (11-14), including in lung cancer (15). Several methodologies have been proposed to assess intratumor heterogeneity, including visual evaluation (16), SUV coefficient of variation (SUV COV ) (17), area under the curve of the cumulative histogram (CH AUC ) (18), and textural-features (TF) analysis (17,19).TF analysis can generate many features quantifying heterogeneity within a delineated MATV. Recent studies have identified a few of these features that are ...

Thorough analysis of hiPSC-CM derived from a DSC2 patient, zebrafish and patient cohort, we identified abnormal repolarization dynamicity, prompting the discovery of a short QT interval in some ACM patients. By normalizing the increased repolarization reserve of ACM myocytes, class 3 AADs are likely to be the drugs of first choice for DSC2 patients. These findings may encourage randomized trials to evaluate class 3 antiarrhythmic drugs, alone or in combination with class I medications in ACM patients.

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