Background And Objective: Digital technologies offer opportunities for remote monitoring, increased patient engagement and incorporation of patient-reported outcome measures (PROMs) into interstitial lung disease (ILD) care and research. This study evaluated the usability and patient experience of the RE-BUILD (Registry for Better Understanding of ILD) application, an ILD-specific smartphone app.
Methods: Patients with ILD aged ≥18 years were recruited from three tertiary ILD centres to use the RE-BUILD app for 6 months.
We study a feasibility-seeking problem with percentage violation constraints (PVCs). These are additional constraints that are appended to an existing family of constraints, which single out certain subsets of the existing constraints and declare that up to a specified fraction of the number of constraints in each subset is allowed to be violated by up to a specified percentage of the existing bounds. Our motivation to investigate problems with PVCs comes from the field of radiation therapy treatment planning (RTTP) wherein the fully discretized inverse planning problem is formulated as a split feasibility problem and the PVCs give rise to nonconvex constraints.
View Article and Find Full Text PDFIntroduction: Lung cancer is the leading cause of cancer mortality, comprising the largest national cancer disease burden in Australia and New Zealand. Regional reports identify substantial evidence-practice gaps, unwarranted variation from best practice, and variation in processes and outcomes of care between treating centres. The Australia and New Zealand Lung Cancer Registry (ANZLCR) will be developed as a Clinical Quality Registry to monitor the safety, quality and effectiveness of lung cancer care in Australia and New Zealand.
View Article and Find Full Text PDFInt J Environ Res Public Health
August 2022
The Special Olympics was established in 1968 to "provide year-round sports training and athletic competition in a variety of Olympic-type sports for children and adults with intellectual disabilities". It has gained recognition in the field of sports and healthcare of persons with intellectual disability, with a large number of dedicated researchers and institutions all over the world. However, there is an urgent need to analyze the progress and current status of this research field to identify knowledge gaps and develop this discipline.
View Article and Find Full Text PDFTo introduce a methodology to predict tissue sparing effects in pulsed ultra-high dose rate radiation exposures which could be included in a dose-effect prediction system or treatment planning system and to illustrate it by using three published experiments.The proposed system formalises the variability of oxygen levels as an oxygen dose histogram (ODH), which provides an instantaneous oxygen level at a delivered dose. The histogram concept alleviates the need for a mechanistic approach.
View Article and Find Full Text PDFTo develop a framework to include oxygenation effects in radiation therapy treatment planning which is valid for all modalities, energy spectra and oxygen levels. The framework is based on predicting the difference in DNA-damage resulting from ionising radiation at variable oxygenation levels.Oxygen fixation is treated as a statistical process in a simplified model of complex and simple damage.
View Article and Find Full Text PDFPurpose: Multiple Coulomb scattering (MCS) poses a challenge in proton CT (pCT) image reconstruction. The assumption of straight paths is replaced with Bayesian models of the most likely path (MLP). Current MLP-based pCT reconstruction approaches assume a water scattering environment.
View Article and Find Full Text PDFA split feasibility formulation for the inverse problem of intensity-modulated radiation therapy treatment planning with dose-volume constraints included in the planning algorithm is presented. It involves a new type of sparsity constraint that enables the inclusion of a percentage-violation constraint in the model problem and its handling by continuous (as opposed to integer) methods. We propose an iterative algorithmic framework for solving such a problem by applying the feasibility-seeking CQ-algorithm of Byrne combined with the automatic relaxation method that uses cyclic projections.
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