Perioperative administration of albumin in adult patients undergoing liver transplantation: A systematic review.

Hypoalbuminemia is a risk factor for mortality in patients with end-stage liver disease (ESLD) and in those undergoing orthotopic liver transplantation (OLT), since it represents a biomarker of post-operative delayed functional recovery of the graft. Despite albumin infusion during and after OLT is frequently adopted in recipients with hypoalbuminemia, it remains unclear whether this procedure could improve post OLT clinical outcomes. Observational studies indicated that treatment with albumin after OLT might be beneficial in reducing ascites and acute kidney injury (AKI) development.

The effect of intra- and inter-fractional motion on target coverage and margins in proton therapy for uveal melanoma.

This study aims to assess the effective lateral margin requirements for target coverage in ocular proton therapy (OPT), considering the unique challenges posed by eye motion and hypofractionation. It specifically addresses the previously unaccounted-for uncertainty contribution of intra-fractional motion, in conjunction with setup uncertainties, on dosimetric determination of lateral margin requirements.The methodology integrates dose calculations from the in-house developed treatment planning system OCULARIS with measured intra-fractional motion, patient models from EyePlan and Monte Carlo (MC) sampling of setup uncertainties.

Balancing benefits and limitations of linear energy transfer optimization in carbon ion radiotherapy for large sacral chordomas.

Background And Purpose: A low linear energy transfer (LET) in the target can reduce the effectiveness of carbon ion radiotherapy (CIRT). This study aimed at exploring benefits and limitations of LET optimization for large sacral chordomas (SC) undergoing CIRT.

Materials And Methods: Seventeen cases were used to tune LET-based optimization, and seven to independently test interfraction plan robustness.

From EHR to Machine Learning: A Preliminary Report on an Ingestion Pipeline Based on JSON-LD.

In this paper, we present the preliminary experiments for the development of an ingestion mechanism to move data from Electronic Health Records to machine learning processes, based on the concept of Linked Data and the JSON-LD format.