Dose distributions delivered at Gantry 2 at the Paul Scherrer Institut (PSI) can be reconstructed on the patient anatomy based on machine log files. With the present work, the dependency of the log file calculation on the planning optimization technique and on other planning parameters, such as field direction and tumour size, has been investigated. Interestingly, and despite the typically higher modulation of Intensity Modulated Proton Therapy (IMPT) plans, the results for both Single Field Uniform Distribution and IMPT approaches have been found to be similar. In addition, complex fields with steep in-field dose gradients, such as Simultaneous Integrated Boost, and with couch movements in between the delivery, also resulted in good agreement between planned and reconstructed doses. Nevertheless, highly modulated plans can have regions of larger local dose deviations and attention should therefore be paid during the planning stage to the location of isolated, highly weighted pencil beams. We propose also, that further effort should be invested in order to predict field robustness to delivery fluctuations before the clinical delivery of the plan as part of the plan specific Quality Assurance.
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http://dx.doi.org/10.1016/j.radonc.2017.09.037 | DOI Listing |
Ann Epidemiol
January 2025
Emory University Department of Epidemiology, Rollins School of Public Health.
Objective: To estimate associations between the length of state-level eviction moratoria enacted in March and April 2020 in the United States and perinatal outcomes.
Methods: We used data from natality files, 2020-2021 to identify individuals with Medicaid or no insurance who conceived in March-May 2020. The exposure was the number of months exposed to a moratorium (0 (referent, no state-level moratoria), 1-2, 3-4, 5 or more).
Health Place
December 2024
Department of Epidemiology, Emory University Rollins School of Public Health, USA.
Goal: Housing insecurity is associated with poor perinatal outcomes. However, we lack information on whether supportive housing policies improve perinatal health. Our goal was to estimate the effect of expiration of a state-level eviction moratoria on adverse maternal and infant outcomes among Medicaid insured individuals residing in states with a state-level moratorium in place at conception in the United States.
View Article and Find Full Text PDFGeriatr Nurs
December 2024
Department of Management, Policy and Community Health, School of Public Health, The University of Texas Health Science Center at Houston, Houston 77030, Texas, United States. Electronic address:
Objectives: To compare the total medical costs associated with operative versus non-operative medical procedures for femoral neck fractures in older adults with Alzheimer's disease (AD).
Methods: This retrospective cohort study examined 4,157 Optum beneficiaries diagnosed with AD who filed an initial claim for femoral neck fracture between January 1, 2012, and December 31, 2017. Generalized linear regression with Gamma log link function was performed to evaluate total medical costs between surgical treatment and non-operative care while controlling for covariates.
Indian J Ophthalmol
January 2025
Indian Health Outcomes, Public Health, and Economics Research Center, L. V. Prasad Eye Institute, Hyderabad, Telangana, India.
Purpose: To evaluate the clinical profile of retinal artery occlusion (RAO) and impact of presentation on visual outcomes.
Design: A retrospective analysis of case files of 3070 patients with RAO was performed using electronic medical records.
Methods: Demographic data were analyzed using descriptive statistics.
Front Artif Intell
December 2024
Universidad Latinoamérica de Ciencia y Tecnología (ULACIT), San José, Costa Rica.
The COVID-19 pandemic marked a before and after in the business world, causing a growing demand for applications that streamline operations, reduce delivery times and costs, and improve the quality of products. In this context, artificial intelligence (AI) has taken a relevant role in improving these processes, since it incorporates mathematical models that allow analyzing the logical structure of the systems to detect and reduce errors or failures in real-time. This study aimed to determine the most relevant aspects to be considered for detecting software defects using AI.
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