A GATE Monte Carlo framework for dosimetric evaluation in mammography in an Algerian hospital

International audienceA framework has been developed for dosimetric evaluation in mammography, using the GATE Monte Carlo (MC) platform, to simulate a MAMMOMAT 3000 Nova mammograph (Siemens) available at the University Hospital Center "1st November 1954" of Oran (EHU Oran 1er Novembre, 1954), Algeria. Calculated quantities such half-value layer (HVL), Entrance Surface Dose (ESD) and Mean Glandular Dose (MGD) have been compared to experimental data in order to validate the modeling of mammography examinations. Results are consistent with previous studies and show a good agreement between measurements and Monte Carlo calculations. By varying the tube voltage from 25 to 35 kV, we have estimated an increasing of a factor of 2.4 in ESD, and a factor of 2.75 for the MGD in a breast phantom. Furthermore, the current intensity of 100 mAs used for a beam quality combination (Mo/Mo) Anode/filter was found suitable for the tube voltages of 25–29 keV since the MGD does not exceed the limits set by the different quality insurance protocols. This GATE dose calculation framework thus provides a very useful tool for the optimization of mammography examinations at Oran hospital by allowing a better estimation of the dose delivered to patients according to the parameters of the examination. •A mammography dose calculation software has been developed for the 1st of November university hospital (EHU, Oran, Algeria).•This tool is based on a GATE/GEANT4 Monte Carlo platform, validated with a series of experimental measurements (HVL, doses).•Technical parameters of the MAMMOMAT-3000 device were considered in the calculations, as well as clinical protocol.•Main results on HVL (Half Value Layer), and ESD (Entrance Surface Dose)/MGD (Mean Glandular Dose) are presented

A Decision Support Tool Facilitating Medicine Design for Optimal Acceptability in The Older Population

International audiencePurposeMedicine acceptability, which is of the utmost importance for vulnerable patients’ adherence, is driven by both user and product characteristics. Herein, a novel multivariate approach integrating the many aspects of acceptability is used to discriminate positively and negatively accepted medicines in the older population.MethodsAn observational study was carried out in eight hospitals and eight nursing homes to collect a large set of real-life data on medicines uses in older patients (≥65 years). Mapping and clustering explored these multiple observational measures and summarised the main information into an intelligible reference framework. Resampling statistics were used to validate the model’s reliability.ResultsA three-dimensional map and two clusters defining acceptability profiles, as positive or negative, emerged from the 1079 evaluations. Factors of interest (medicines, user features…) were positioned on the map at the barycentre of their evaluations and assigned to an acceptability profile. Focusing on patients’ ability to swallow, we have highlighted the tool’s efficacy in demonstrating the impact of user features on medicine acceptability.ConclusionsThis multivariate approach provides a relevant judgement criterion for this multi-dimensional concept. Facilitating the choice of the most appropriate dosage form to achieve optimal acceptability in a targeted population, this tool is of real potential to improve clinical decisions