Publications by authors named "A Ostrovski"
Dosimetric Analyses of the Three Radiation Techniques Used in the EORTC 22922/10925 IM-MS Breast Cancer Trial.
Clin Oncol (R Coll Radiol)
November 2024
Article Synopsis
- The study compares dosimetry of three radiation therapy techniques for targeting internal mammary and supraclavicular nodes in breast cancer treatment, as part of the EORTC 22922/10925 trial.
- A retrospective analysis of ten randomly selected left-sided breast cases was conducted, assessing plans according to trial protocols, where doses to planning target volumes and organs at risk were measured.
- Results showed that while all techniques adequately dosed the breast and supraclavicular regions, the individualized plan had lower internal mammary coverage, but reduced heart exposure compared to standard techniques, suggesting benefits in treatment planning for breast cancer outcomes.
Article Synopsis
- Cystic fibrosis (CF) is a chronic disease that requires complex daily treatments, leading to low adherence among patients, which affects their health and costs.
- The study evaluates the ReX platform, a patient engagement tool that helps manage CF treatments, providing reminders and adherence data, aimed at improving adherence to high-cost CF medications known as CFTR modulators.
- Results showed high adherence rates (97.5% in the first year) and improved lung function among patients using ReX, with positive feedback on the platform's usability and no reported adverse effects.
A dosimetric study to evaluate the use of continuous positive airway pressure (CPAP), with free-breathing (CPAP-FB) or with deep inspiration breath hold (DIBH-CPAP) an adjunct and alternative to DIBH to reduce heart and lung dose in the radiation therapy (RT) of breast cancer planned for left side RT with regional nodes and internal mammary. A retrospective analysis of 10 left-sided breast cancer patients whose heart or lung dose constraints were not met after RT planning based on FB or DIBH simulations and were referred for CPAP-based planning. All patients were simulated using FB, DIBH, CPAP-FB, and CPAP-DIBH.
View Article and Find Full Text PDFThe increased availability of data and recent advancements in artificial intelligence present the unprecedented opportunities in healthcare and major challenges for the patients, developers, providers and regulators. The novel deep learning and transfer learning techniques are turning any data about the person into medical data transforming simple facial pictures and videos into powerful sources of data for predictive analytics. Presently, the patients do not have control over the access privileges to their medical records and remain unaware of the true value of the data they have.
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