A5100382754- Advanced Radiotherapy Techniques
- Radiation Therapy and Dosimetry
- Medical Imaging Techniques and Applications
- Advances in Oncology and Radiotherapy
- Coronary Interventions and Diagnostics
- Effects of Radiation Exposure
- Mathematical Biology Tumor Growth
- Radiation Dose and Imaging
- Cardiac Imaging and Diagnostics
- Glioma Diagnosis and Treatment
- Statistical Methods in Clinical Trials
- Cerebrovascular and Carotid Artery Diseases
- Helicobacter pylori-related gastroenterology studies
- Advanced X-ray and CT Imaging
- Technology Adoption and User Behaviour
- Brain Metastases and Treatment
- Boron Compounds in Chemistry
- Phytochemicals and Antioxidant Activities
- Lung Cancer Diagnosis and Treatment
- Technology and Data Analysis
- Food Quality and Safety Studies
- Radiopharmaceutical Chemistry and Applications
- Prostate Cancer Diagnosis and Treatment
- Educational Systems and Policies
- Field-Flow Fractionation Techniques
University of Washington
2015-2024
Seattle University
2015-2024
Seoul National University Hospital
2024
University of Washington Medical Center
2010-2021
Ministry of Environment
2016
Oregon College of Oriental Medicine
2011
University of Washington Applied Physics Laboratory
2009
The objective of this research was to access the determination metabolite profiles and antioxidant properties in leaves green perilla (Perilla frutescens), where these are considered functional nutraceutical substances Korea. A total 25 compositions were confirmed as six phenolic acids, two triterpenoids, eight flavonoids, seven fatty glucosides using an ultra high performance liquid chromatography coupled with electrospray ionization quadrupole time-of-flight mass spectrometry...
The goal in radiotherapy is to maximize the biological effect (BE) of radiation on tumour while limiting its toxic effects healthy anatomies. Treatment administered over several sessions give normal tissue time recover as it has better damage-repair capabilities than cells. This termed fractionation. A key problem involves finding an optimal number treatment (fractions) and corresponding dosing schedule. major limitation existing mathematically rigorous work this that includes only a single...
Purpose: Current inverse planning methods for IMRT are limited because they not designed to explore the trade-offs between competing objectives tumor and normal tissues. Our goal was develop an efficient multiobjective optimization algorithm that flexible enough handle any form of objective function resulted in a set Pareto optimal plans. Methods: We developed hierarchical evolutionary quickly generate diverse plans meet all clinical constraints reflect The top level is (MOEA). genes...
The current state of the art in cancer treatment by radiation optimizes beam intensity spatially such that tumors receive high dose whereas damage to nearby healthy tissues is minimized. It common practice deliver over several weeks, where daily a small constant fraction total planned. Such 'fractionation schedule' based on traditional models radiobiological response normal tissue cells possess ability repair sublethal done radiation. This capability significantly less prominent tumors....
To evaluate how a more flexible and thorough multiobjective search of feasible IMRT plans affects performance in optimization.A evolutionary algorithm (MOEA) was used as tool to investigate expanding the space include wider range penalty functions quality set produced. The MOEA uses population generate new through deterministic minimization recombined that are weighted sums multiple, tissue-specific objective functions. generated judged by an independent nonconvex, clinically relevant...
To build a new treatment planning approach that extends beyond radiation transport and IMRT optimization by modeling the therapy process prognostic indicators for more outcome-focused decision making. An in-house system was modified to include multiobjective inverse planning, probabilistic outcome model, multi-attribute aid. A genetic algorithm generated set of plans embodying trade-offs between separate objectives. influence diagram network modeled prostate cancer using expert opinion,...
To determine if the fraction of Nardostachys jatamansi (NJ) has potential to ameliorate severity acute pancreatitis (AP).Mice were administered biologically active NJ, i.e., 4th (NJ4), intraperitoneally, and then injected with stable cholecystokinin analogue cerulein hourly for 6 h. Six hours after last injection, pancreas, lung, blood harvested morphological examination, measurement cytokine expression, examination neutrophil infiltration.NJ4 administration attenuated AP lung injury...
Acute pancreatitis (AP) is an inflammatory disease involving acinar cell injury and rapid production release of cytokines, which play a dominant role in local pancreatic inflammation systemic complications. 2',4',6'-Tris (methoxymethoxy) chalcone (TMMC), synthetic derivative, displays potent anti-inflammatory effects. Therefore, we aimed to investigate whether TMMC might affect the severity AP pancreatitis-associated lung mice. We used cerulein hyperstimulation model AP. Severity was...
Purpose: To investigate the impact of using spatiotemporal optimization, i.e., intensity‐modulated spatial optimization followed by fractionation schedule to select patient‐specific that maximizes tumor biologically equivalent dose (BED) under constraints for multiple organs‐at‐risk (OARs). Methods: Spatiotemporal was applied a variety lung tumors in phantom geometry range sizes and locations. The optimal patient linear‐quadratic cell survival model depends on OAR sensitivity fraction size (...
We present a spatiotemporally integrated formulation of the optimal fractionation problem using standard log-linear-quadratic survival model. Our objective is to choose fluence map and number fractions maximize biological effect tumor dose averaged over its voxels subject maximum dose, mean dose-volume constraints for various normal tissues. Constraints are expressed in biologically effective equivalents. propose an efficient convex programming method approximately solve resulting...
Purpose Clinical studies in radiation therapy with conventional fractionation show a reduction the tumor control probability (TCP) an increase total and hypoxic volumes. The main objective of this article is to derive analytical relationship between TCP This applied clinical data on increasing volume and, also, dose escalation target hypoxia. Methods equation derived from Poisson distribution predicts that both (a) number clonogens (b) average cell surviving fraction are factors contributing...
In an effort to investigate the metabolic basis of previously reported pharmacokinetic interactions between beta-adrenergic antagonists and calcium channel blockers, effects verapamil on oxidative metabolism metoprolol were studied in microsomes isolated from four human livers. Deuterium-labeled pseudoracemic was used characterize substrate stereoselectivity this interaction. Biphasic kinetics observed for both alpha-hydroxylation O-demethylation metoprolol, suggesting that multiple P-450...
Hypoxia, that is, insufficient oxygen partial pressure, is a known cause of reduced radiosensitivity in solid tumors, and especially head-and-neck tumors. It thus believed to adversely affect the outcome fractionated radiotherapy. Oxygen pressure varies spatially temporally over treatment course exhibits inter-patient intra-tumor variation. Emerging advances non-invasive functional imaging offer future possibility adapting radiotherapy plans this uncertain spatiotemporal evolution hypoxia...
The review of a radiation therapy plan by physicist prior to treatment is standard tool for ensuring the quality treatments. However, little known about how well this task performed in practice. goal study present novel method measure effectiveness physics introducing simulated errors into computerized "mock" charts and measuring performance physicists.We generated six containing multiple errors. To select errors, we compiled list based on events from departmental incident learning system an...
Purpose: This study investigates the feasibility of personalizing radiotherapy prescription schemes (treatment margins and fractional doses) for glioblastoma (GBM) patients their potential benefits using a proliferation invasion (PI) glioma model on phantoms. Methods Materials: We propose strategy to personalize by simulating tumor in 2D according PI model. demonstrate its presenting virtual cases, where standard personalized prescriptions were applied tumor. Standard was assumed deliver 46...
Total body irradiation (TBI) is an integral part of stem cell transplant. However, patients are at risk treatment-related toxicities, including radiation pneumonitis. While lung dose one the most crucial aspects TBI dosimetry, currently available data based on point doses. As volumetric distribution could be substantially altered by block parameters, we used 3D dosimetry in our treatment planning system to estimate and measure impact various designs.We commissioned a beam model RayStation...
In current practice, radiotherapy inverse planning often requires treatment planners to modify multiple parameters in the system's objective function produce clinically acceptable plans. Due manual steps this process, plan quality can vary depending on time available and planner's skills.This study investigates feasibility of two hyperparameter-tuning methods for automated planning. Because framework does not train a model previously optimized plans, it be readily adapted practice pattern...
There are several different modalities, e.g., surgery, chemotherapy, and radiotherapy, that currently used to treat cancer. It is common practice use a combination of these modalities maximize clinical outcomes, which often measured by balance between maximizing tumor damage minimizing normal tissue side effects due treatment. However, multi-modality treatment policies mostly empirical in current practice, therefore subject individual clinicians' experiences intuition. We present novel...