A5067002904- Advanced Radiotherapy Techniques
- Advances in Oncology and Radiotherapy
- Lung Cancer Diagnosis and Treatment
- Advanced X-ray and CT Imaging
- Radiation Dose and Imaging
- Medical Imaging Techniques and Applications
- Artificial Intelligence in Healthcare and Education
- Big Data and Business Intelligence
- Biomedical and Engineering Education
- Ocular Surface and Contact Lens
- Calibration and Measurement Techniques
- Salivary Gland Tumors Diagnosis and Treatment
- Impact of Light on Environment and Health
- Radiomics and Machine Learning in Medical Imaging
- Salivary Gland Disorders and Functions
- Solar Radiation and Photovoltaics
- Advanced Optical Sensing Technologies
The University of Texas Health Science Center at Houston
2021-2023
The University of Texas MD Anderson Cancer Center
2021-2023
Massachusetts General Hospital
2023
Harvard University
2023
University at Buffalo, State University of New York
2022
In this study, we applied the failure mode and effects analysis (FMEA) approach to an automated radiation therapy contouring treatment planning tool assess, subsequently limit, risk of deploying tools.Using FMEA, quantified risks associated with Radiation Planning Assistant (RPA), currently under development. A multidisciplinary team identified scored each mode, using a combination RPA plan data experience for guidance. 1-to-10 scale severity, occurrence, detectability potential errors was...
Abstract Purpose Hazard scenarios were created to assess and reduce the risk of planning errors in automated processes. This was accomplished through iterative testing improvement examined user interfaces. Methods Automated requires three inputs: a computed tomography (CT), prescription document, known as service request, contours. We investigated ability users catch that intentionally introduced into each these stages, according an FMEA analysis. Five radiation therapists reviewed 15...
Abstract Purpose To develop a checklist that improves the rate of error detection during plan review automatically generated radiotherapy plans. Methods A custom was developed using guidance from American Association Physicists in Medicine task groups 275 and 315 results failure modes effects analysis Radiation Planning Assistant (RPA), an automated contouring treatment planning tool. The preliminary contained 90 items for each plan. In first study, eight physicists were recruited our...
Our purpose was to identify variations in the clinical use of automatically generated contours that could be attributed software error, off-label use, or automation bias. For 500 head and neck patients who were contoured by an in-house automated contouring system, Dice similarity coefficient added path length calculated between system final after editing for use. Statistical process control used charts with limits at 3 standard deviations. Contours exceeded thresholds investigated determine...
To investigate the use of statistical process control (SPC) for quality assurance an integrated web-based autoplanning tool, Radiation Planning Assistant (RPA).Automatically generated plans were downloaded and imported into two treatment planning systems (TPSs), RayStation Eclipse, in which they recalculated using fixed monitor units. The then uploaded back to RPA, mean dose differences each contour between original RPA TPSs calculated. SPC was used characterize terms comparisons: TPS versus...
Abstract Background Lymphotoxin (LT) is an important mediator in Sjogren's syndrome (SS), both patients and animal models. Deletion of the LT alpha gene prevented development disease manifestations interelukin transgenic mouse (IL14αTG) model SS. Aims The current study was designed to evaluate use inhibitors at different stages IL14αTG mice. Materials Methods mice were treated with anti‐LTa monoclonal antibody, LTb receptor‐immunoglobulin fusion protein (LTBR‐Ig) or isotype control during...
Abstract Purpose Motivated by perceived dissatisfaction within our lab’s changed working environment brought about the COVID-19 pandemic, we performed a self-assessment of lab culture through anonymous surveys and live sessions. Methods In Survey 1, asked each member to identify rank up 10 values that are important for healthy environment. They were then rate how well embodied those at two time points: before pandemic while onsite, survey remotely (10 months into pandemic). series group...
Variability in contouring structures of interest for radiotherapy continues to be challenging. Although training can reduce such variability, having radiation oncologists provide feedback impractical. We developed a contour tool real-time trainees, thereby reducing variability contouring. novel metric termed localized signed square distance (LSSD) the trainee on how their compares with reference contour, which is generated by combining and multiple expert oncologist contours. Nine trainees...