BACKGROUND: Current risk stratification systems for neuroblastoma patients consider clinical, histopathological, and genetic variables, and additional prognostic markers have been proposed in recent years. We here sought to select highly informative covariates in a multistep strategy based on consecutive Cox regression models, resulting in a risk score that integrates hazard ratios of prognostic variables. METHODS: A cohort of 695 neuroblastoma patients was divided into a discovery set (n=75) for multigene predictor generation, a training set (n=411) for risk score development, and a validation set (n=209).
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Abstract Determining the cause of unexplained death in all age groups, including infants, is a priority in forensic medicine. The triple r...
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Abstract In this paper we present the study of a skull belonging to a young male from the Italian Bronze Age showing three perimortem inju...
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Abstract To measure integral doses in image-guided radiation therapy, we developed an integral condenser dosimeter comprising a disposable...
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Objectives. To assess the association between short-term postoperative cognitive dysfuction (POCD) and inflammtory response in patients unde...
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Abstract Layer-by-layer (LbL) dip coating, accompanying with the use of micelle structure, allows hydrophobic molecules to be coated on me...
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This paper presents an adaptive multiuser transceiver scheme for DS-CDMA systems in which pilot symbols are added to users’ data to estimate...
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