Publications by authors named "A T Mazal"
Article Synopsis
- - Neurofibromatosis type I (NF1) is caused by a mutation in the neurofibromin gene, leading to various benign and malignant tumors, including nerve sheath tumors and brain tumors.
- - Multiparametric whole-body MRI (WBMRI) is essential for monitoring NF1, using multiple imaging sequences to visualize different types of lesions across the body.
- - The article highlights various NF1-related lesions, emphasizing the importance of timely identification through WBMRI for better diagnosis and patient care.
There is a rising interest in developing and utilizing arc delivery techniques with charged particle beams, e.g., proton, carbon or other ions, for clinical implementation.
View Article and Find Full Text PDFAlthough rare cancers, ocular tumors are a threat to vision, quality of life, and potentially life expectancy of a patient. Ocular proton therapy (OPT) is a powerful tool for successfully treating this disease. The Particle Therapy Co-Operative Ocular Group) formulated an Evidence and Expert-Based Executive Summary of Current Practices and Future Developments in OPT: comparative dosimetric and clinical analysis with the different OPT systems is essential to set up planning guidelines, implement best practices, and establish benchmarks for eye preservation, vision, and quality of life measures.
View Article and Find Full Text PDFArticle Synopsis
- Overuse of CT angiography (CTA) for minor neurological issues can cause unnecessary radiation exposure and may require follow-up MRI for proper diagnosis.
- A study evaluated the effectiveness of a fast MRI protocol called NeuroMix, combined with MRA, against CTAH for patients within 24 hours, with results indicating that the MRI approach was equivalent or superior in most cases.
- The findings suggest that the new MRI techniques can provide better or similar diagnostic information in 95% of instances, reducing reliance on CTA for certain patient populations.
Article Synopsis
- Proton therapy is effective for cancer treatment, but its success relies on accurate dose distribution, which can be affected by patient anatomy changes, highlighting the need for adaptive approaches.
- Conventional imaging techniques like CBCT are limited in accurately estimating stopping power ratios (SPR) for proton therapy, leading researchers to explore Deep Learning methods to create improved pseudo-CT images.
- The authors present a new 3D vision transformer model that effectively reduces SPR errors in pCT images when compared to traditional CT, marking a potential advancement for adaptive proton therapy, although further validation is required for broader clinical implementation.