Application of a fast proton dose calculation algorithm to a thorax geometry

Treatment planning in proton therapy requires the calculation of absorbed dose distributions on beam shaping components and the patient anatomy. Analytical pencil-beam dose algorithms commonly used are not always accurate enough. The Monte Carlo approach is more accurate but extremely computationally intensive. The Fast Dose Calculator, a track-repeating algorithm, has been proposed as an alternative fast and accurate dose calculation. In this work FDC is applied to a proton therapy patient thoracic anatomy. © 2010 Published by Elsevier Ltd. All rights reserved

A GPU implementation of a track-repeating algorithm for proton radiotherapy dose calculations

An essential component in proton radiotherapy is the algorithm to calculate the radiation dose to be delivered to the patient. The most common dose algorithms are fast but they are approximate analytical approaches. However their level of accuracy is not always satisfactory, especially for heterogeneous anatomic areas, like the thorax. Monte Carlo techniques provide superior accuracy, however, they often require large computation resources, which render them impractical for routine clinical use. Track-repeating algorithms, for example the Fast Dose Calculator, have shown promise for achieving the accuracy of Monte Carlo simulations for proton radiotherapy dose calculations in a fraction of the computation time. We report on the implementation of the Fast Dose Calculator for proton radiotherapy on a card equipped with graphics processor units (GPU) rather than a central processing unit architecture. This implementation reproduces the full Monte Carlo and CPU-based track-repeating dose calculations within 2%, while achieving a statistical uncertainty of 2% in less than one minute utilizing one single GPU card, which should allow real-time accurate dose calculations

Co-infection and ICU-acquired infection in COIVD-19 ICU patients: a secondary analysis of the UNITE-COVID data set

Background: The COVID-19 pandemic presented major challenges for critical care facilities worldwide. Infections which develop alongside or subsequent to viral pneumonitis are a challenge under sporadic and pandemic conditions; however, data have suggested that patterns of these differ between COVID-19 and other viral pneumonitides. This secondary analysis aimed to explore patterns of co-infection and intensive care unit-acquired infections (ICU-AI) and the relationship to use of corticosteroids in a large, international cohort of critically ill COVID-19 patients.Methods: This is a multicenter, international, observational study, including adult patients with PCR-confirmed COVID-19 diagnosis admitted to ICUs at the peak of wave one of COVID-19 (February 15th to May 15th, 2020). Data collected included investigator-assessed co-infection at ICU admission, infection acquired in ICU, infection with multi-drug resistant organisms (MDRO) and antibiotic use. Frequencies were compared by Pearson's Chi-squared and continuous variables by Mann-Whitney U test. Propensity score matching for variables associated with ICU-acquired infection was undertaken using R library MatchIT using the "full" matching method.Results: Data were available from 4994 patients. Bacterial co-infection at admission was detected in 716 patients (14%), whilst 85% of patients received antibiotics at that stage. ICU-AI developed in 2715 (54%). The most common ICU-AI was bacterial pneumonia (44% of infections), whilst 9% of patients developed fungal pneumonia; 25% of infections involved MDRO. Patients developing infections in ICU had greater antimicrobial exposure than those without such infections. Incident density (ICU-AI per 1000 ICU days) was in considerable excess of reports from pre-pandemic surveillance. Corticosteroid use was heterogenous between ICUs. In univariate analysis, 58% of patients receiving corticosteroids and 43% of those not receiving steroids developed ICU-AI. Adjusting for potential confounders in the propensity-matched cohort, 71% of patients receiving corticosteroids developed ICU-AI vs 52% of those not receiving corticosteroids. Duration of corticosteroid therapy was also associated with development of ICU-AI and infection with an MDRO.Conclusions: In patients with severe COVID-19 in the first wave, co-infection at admission to ICU was relatively rare but antibiotic use was in substantial excess to that indication. ICU-AI were common and were significantly associated with use of corticosteroids

Clinical and organizational factors associated with mortality during the peak of first COVID-19 wave: the global UNITE-COVID study

Purpose: To accommodate the unprecedented number of critically ill patients with pneumonia caused by coronavirus disease 2019 (COVID-19) expansion of the capacity of intensive care unit (ICU) to clinical areas not previously used for critical care was necessary. We describe the global burden of COVID-19 admissions and the clinical and organizational characteristics associated with outcomes in critically ill COVID-19 patients. Methods: Multicenter, international, point prevalence study, including adult patients with SARS-CoV-2 infection confirmed by polymerase chain reaction (PCR) and a diagnosis of COVID-19 admitted to ICU between February 15th and May 15th, 2020. Results: 4994 patients from 280 ICUs in 46 countries were included. Included ICUs increased their total capacity from 4931 to 7630 beds, deploying personnel from other areas. Overall, 1986 (39.8%) patients were admitted to surge capacity beds. Invasive ventilation at admission was present in 2325 (46.5%) patients and was required during ICU stay in 85.8% of patients. 60-day mortality was 33.9% (IQR across units: 20%–50%) and ICU mortality 32.7%. Older age, invasive mechanical ventilation, and acute kidney injury (AKI) were associated with increased mortality. These associations were also confirmed specifically in mechanically ventilated patients. Admission to surge capacity beds was not associated with mortality, even after controlling for other factors. Conclusions: ICUs responded to the increase in COVID-19 patients by increasing bed availability and staff, admitting up to 40% of patients in surge capacity beds. Although mortality in this population was high, admission to a surge capacity bed was not associated with increased mortality. Older age, invasive mechanical ventilation, and AKI were identified as the strongest predictors of mortality

Caracterización del Banco de La Concepción

Se integra información hidrográfica, geomorfológica, sedimentológica, biológica, sobre hábitats marinos y pesquera, para establecer las bases ecológicas necesarias para la protección y conservación del Banco de La ConcepciónEl proyecto INDEMARES ha permitido utilizar amplios medios económicos y personales para estudiar en detalle y desde múltiples perspectivas la zona del Banco de La Concepción. Se han aplicado metodologías para el estudio de la hidrografía, caracterizando la región, describiendo sus principales masas de agua y la hidrodinámica de las corrientes. También se ha abordado la geología de la zona, incluyendo levantamientos batimétricos, perfiles sísmicos, muestreos de sedimento y petrológicos, obteniendo modelos digitales del terreno, mapas de tipos de fondo, geomorfológicos. Se han caracterizado las comunidades bentopelágicas, demersales, epibentónicas y endobentónicas, prestando especial atención a aquellas que conforman o estructuran los hábitats sensibles cuyo inventariado y cartografía era objeto principal del proyecto. Los trabajos de identificación de hábitats se han realizado con muestreadores directos, pero también con muestreadores visuales, que han permitido hacer un mayor esfuerzo de muestreo sin aumentar el impacto sobre los fondos de la zona. Por otro lado se ha estudiado la huella pesquera de la zona por medio del análisis de los datos VMS y los cuadernos de pesca proporcionados por la SGP, además de una ardua labor a pie de puerto de entrevistas y encuestas. Toda la información ha sido gestionada y analizada por diferentes grupos de investigación de diferentes centros (Universidad de La Laguna, Instituto Universitario de Ciencias Políticas y Sociales, Universidad de Las Palmas de Gran Canaria, Instituto de Ciencias del Mar de Barcelona, Universidad de Barcelona, Centro de Investigaciones Medioambientales del Atlántico, Centro Oceanográfico de Santander y Centro Oceanográfico de Málaga del Instituto Español de Oceanografía, …), aunque el grueso de esta labor, además de la coordinación, se ha llevado a cabo en el Centro Oceanográfico de Canarias del Instituto Español de Oceanografía. Los resultados permiten tener un conocimiento profundo y multidisciplinar de la zona de estudio comparable a pocos proyectos de investigación marina en la macaronesia. El estudio oceanográfico, el geológico, y el de las comunidades biológicas, ha permitido la caracterización de los hábitats de la zona, y su cartografiado mediante el intenso muestreo y la aplicación de análisis de idoneidad de hábitats.INDEMARES Project made possible to bring together economic and staff resources to study in detail, and from multiple perspectives, the area of Banco de La Concepción. Methodologies have been applied to study hydrography, making a regional characterization, depicting main water masses, and current hydrodynamics. Geology has been tackled including bathymetric uplifting, seismic profiles, sediment and petrological sampling, obtaining digital terrain models, type of bottom maps, geomorphological maps, as an output. Benthopelagic, demersal, epibenthic and endobenthic communities have been characterized, paying special attention to sensitive habitats which inventory and mapping was the project’s main aim. Habitat identification has been made with direct and visual samplers, the latter making a major sampling effort possible without an increase of bottom impact. Moreover, fisheries footprint has been identified by Vessel Monitoring System data, together with logbooks from Secretaría General de Pesca (Fisheries Ministry), as well as a hard interviewing and surveying task at landing points. Information has been managed and analysed by different research groups from different Centres (Universidad de La Laguna, Instituto Universitario de Ciencias Políticas y Sociales, Universidad de Las Palmas de Gran Canaria, Instituto de Ciencias del Mar de Barcelona, Universidad de Barcelona, Centro de Investigaciones Medioambientales del Atlántico, Centro Oceanográfico de Santander y Centro Oceanográfico de Málaga del Instituto Español de Oceanografía), although the main body of the work, plus coordination, has been made by the Canary Islands Oceanographic Centre, from the Spanish Institute of Oceanography. Results let us have a multidisciplinary profound knowledge of the study zone, comparable to few other marine research projects off Macaronesia. The study about oceanography, geology and biologic communities has allowed the habitats characterization and mapping by means of intensive sampling and habitat suitability analysis.Instituto Español de Oceanografía, Comisión Europea Programa LIFE+, Fundación Biodiversida

Caracterización del Sur de Fuerteventura

Se integra información hidrográfica, geomorfológica, sedimentológica, biológica, sobre hábitats marinos y pesquera, para establecer las bases ecológicas necesarias para la protección y conservación del Sur de Fuerteventura (Montes de Amanay y El Banquete)El proyecto INDEMARES ha permitido utilizar amplios medios económicos y personales para estudiar en detalle y desde múltiples perspectivas la zona del Sur de Fuerteventura (montes de Amanay y El Banquete). Se han aplicado metodologías para el estudio de la hidrografía, caracterizando la región, describiendo sus principales masas de agua y la hidrodinámica de las corrientes. También se ha abordado la geología de la zona, incluyendo levantamientos batimétricos, perfiles sísmicos, muestreos de sedimento y petrológicos, obteniendo modelos digitales del terreno, mapas de tipos de fondo, geomorfológicos. Se han caracterizado las comunidades bentopelágicas, demersales, epibentónicas y endobentónicas, prestando especial atención a aquellas que conforman o estructuran los hábitats sensibles cuyo inventariado y cartografía era objeto principal del proyecto. Los trabajos de identificación de hábitats se han realizado con muestreadores directos, pero también con muestreadores visuales, que han permitido hacer un mayor esfuerzo de muestreo sin aumentar el impacto sobre los fondos de la zona. Por otro lado se ha estudiado la huella pesquera de la zona por medio del análisis de los datos VMS y los cuadernos de pesca proporcionados por la SGP, además de una ardua labor a pie de puerto de entrevistas y encuestas. Toda la información ha sido gestionada y analizada por diferentes grupos de investigación de diferentes centros (Universidad de La Laguna, Instituto Universitario de Ciencias Políticas y Sociales, Universidad de Las Palmas de Gran Canaria, Instituto de Ciencias del Mar de Barcelona, Universidad de Barcelona, Centro de Investigaciones Medioambientales del Atlántico, Centro Oceanográfico de Santander y Centro Oceanográfico de Málaga del Instituto Español de Oceanografía, …), aunque el grueso de esta labor, además de la coordinación, se ha llevado a cabo en el Centro Oceanográfico de Canarias del Instituto Español de Oceanografía. Los resultados permiten tener un conocimiento profundo y multidisciplinar de la zona de estudio comparable a pocos proyectos de investigación marina en la Macaronesia. El estudio oceanográfico, el geológico, y el de las comunidades biológicas, ha permitido la caracterización de los hábitats de la zona, y su cartografiado mediante el intenso muestreo y la aplicación de análisis de idoneidad de hábitats.Abstract: INDEMARES Project made possible to bring together economic and staff resources to study in detail, and from multiple perspectives, the area of South of Fuerteventura (Amanay and El Banquete Semounts). Methodologies have been applied to study hydrography, making a regional characterization, depicting main water masses, and current hydrodynamics. Geology has been tackled including bathymetric uplifting, seismic profiles, sediment and petrological sampling, obtaining digital terrain models, type of bottom maps, geomorphological maps, as an output. Benthopelagic, demersal, epibenthic and endobenthic communities have been characterized, paying special attention to sensitive habitats which inventory and mapping was the project’s main aim. Habitat identification has been made with direct and visual samplers, the latter making a major sampling effort possible without an increase of bottom impact. Moreover, fisheries footprint has been identified by Vessel Monitoring System data, together with logbooks from Secretaría General de Pesca (Fisheries Ministry), as well as a hard interviewing and surveying task at landing points. Information has been managed and analysed by different research groups from different Centres (Universidad de La Laguna, Instituto Universitario de Ciencias Políticas y Sociales, Universidad de Las Palmas de Gran Canaria, Instituto de Ciencias del Mar de Barcelona, Universidad de Barcelona, Centro de Investigaciones Medioambientales del Atlántico, Centro Oceanográfico de Santander y Centro Oceanográfico de Málaga del Instituto Español de Oceanografía), although the main body of the work, plus coordination, has been made by the Canary Islands Oceanographic Centre, from the Spanish Institute of Oceanography. Results let us have a multidisciplinary profound knowledge of the study zone, comparable to few other marine research projects off Macaronesia. The study about oceanography, geology and biologic communities has allowed the habitats characterization and mapping by means of intensive sampling and habitat suitability analysis.Instituto Español de Oceanografía, Comisión Europea Programa LIFE+, Fundación Biodiversida

Heavy Ion Physics with CMS at LHC

The CMS detector is well equipped to provide unique measurements in heavy ion collisions at LHC. It will provide measurements of the J/Ψ and Υ families with good separation of the different resonances. Jet quenching will be studied by analyzing monojet-to-dijet ratios and Z 0 (γ)+jet events. 1. CMS Detector The Large Hadron Collider (LHC) plans to operate as a heavy ion collider for one month each year starting in 2007. LHC will be capable of accelerating a variety of ions up to beam energies of 7 TeV/charge. The design, peak and three-hour-fill-averaged luminosities are presented in Table 1 along with the maximum center of mass energy[1]. The Compact Muon Solenoid (CMS) [2] experiment is a general-purpose facility to stud