A5082729847- Advanced Radiotherapy Techniques
- Radiation Therapy and Dosimetry
- Glioma Diagnosis and Treatment
- Effects of Radiation Exposure
- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
- Advances in Oncology and Radiotherapy
- Hate Speech and Cyberbullying Detection
- Radiation Detection and Scintillator Technologies
- Terrorism, Counterterrorism, and Political Violence
- Lung Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Gastrointestinal Tumor Research and Treatment
- Radiopharmaceutical Chemistry and Applications
- Economic and Financial Impacts of Cancer
- Sarcoma Diagnosis and Treatment
- Advanced MRI Techniques and Applications
- Brain Metastases and Treatment
- Museums and Cultural Heritage
- Cybercrime and Law Enforcement Studies
- Spam and Phishing Detection
- Conservation Techniques and Studies
- Metallurgy and Cultural Artifacts
- Wireless Body Area Networks
- Radiation Effects in Electronics
Thomas Jefferson University
2024-2025
Thomas Jefferson University Hospital
2025
St. Jude Children's Research Hospital
2020-2024
Brigham and Women's Hospital
2023-2024
Harvard University
2024
University of Cambridge
2023-2024
Homerton University Hospital
2023
George Washington University
2023
University of Michigan
2023
University of Minnesota System
2021
Imatinib resistance in GI stromal tumors (GISTs) is primarily caused by secondary
The nuclear magnetic resonance (NMR) longitudinal relaxation rate R1 dose-response characteristics of a ferrous-sulphate-doped chemical dosimeter system (Fe MRI) immobilized in gelatin matrix were explored. Samples containing various concentrations the FeSO4 irradiated to absorbed doses 0-150 Gy. rates determined by imaging samples at field strength 1.5 T (1H Lamor frequency 63.8 MHz). response was found be approximately linear up 50 Gy for all studied (0.1-2.0 mM). Changing range 0.1-0.5 mM...
PURPOSE Novel methods generate functional images using image processing techniques combined with four-dimensional computed tomography (4DCT) data (4DCT-ventilation). 4DCT-ventilation was implemented in a phase II, multicenter avoidance clinical trial. The work compares patient-reported outcomes (PROs) against historical standards. METHODS Patients locally advanced lung cancer undergoing curative-intent chemoradiation were accrued. imaging generated and treatment plans created reduced dose to...
Abstract Purpose Methods have been developed that apply image processing to 4DCTs generate 4DCT‐ventilation/perfusion lung imaging. Traditional methods for 4DCT‐ventilation rely on Hounsfield‐Unit (HU) density‐change and suffer from poor numerical robustness while not providing 4DCT‐perfusion data. The purpose of this work was evaluate the clinical differences between classic HU‐based approaches novel approaches. Data 63 cancer patients enrolled in a functional avoidance trial were analyzed....
Background/Objectives: Accurate patient-specific dosimetry is essential for optimizing radiopharmaceutical therapy (RPT), but current tools lack validation in clinically realistic conditions. This work aimed to develop a workflow designing and fabricating patient-derived, organ-realistic RPT phantoms evaluate their feasibility commissioning radioactivity quantification. Methods: We used computed tomographic (CT) magnetic resonance (MR) imaging of representative patients, computer-aided...
To characterize the association between neurocognitive outcomes (memory and processing speed) radiation (RT) dose to hippocampus, corpus callosum (CC), frontal white matter (WM) in children with medulloblastoma treated on a prospective study, SJMB03.
Purpose Photon radiotherapy techniques typically devote considerable attention to limiting the exposure of healthy tissues outside target volume. Numerous studies have shown, however, that commercial treatment planning systems (TPSs) significantly underestimate absorbed dose field. The purpose this study was test feasibility quickly and accurately calculating total whole body from photon in individual patients. Methods We created an extended TPS by implementing a physics‐based analytical...
Purpose To develop a simple model of therapeutic and stray absorbed dose for variety treatment machines techniques without relying on proprietary machine-specific parameters. Methods Dosimetry measurements conducted in this study from the literature were used to an analytical 6 25 MV interval. A modified one-dimensional gamma-index analysis was performed evaluate dosimetric accuracy independent dataset consisting measured profiles seven units spanning four manufacturers. Results The average...
A burgeoning population of cancer survivors is at risk late health effects following radiation therapy including second cancers, with the majority these cancers occurring outside treatment volume primary cancer. Commercial radiotherapy planning systems underestimate out-of-field dose. Previous analytical models dose have assumed radial symmetry and/or approximated dimensions collimators as semi-infinite planes. The purpose this work was to develop a physics-based model total absorbed from...
The targeted digital advertising infrastructures on which the business models of social media platform economy rest have been subject significant academic and political interest. In this paper, we explore theorise appropriation these — designed for commercial by state. U.K., public sector bodies begun to repurpose surveillance messaging capacities platforms, along with influencer economy, deliver behaviour change campaigns achieve policy goals. We how frameworks behavioural government...
Purpose Modern radiotherapy practices typically report the absorbed dose ( D ) within 5% relative isodose volume (i.e., therapeutic region) to an accuracy of 3%–5%. Gamma‐index analysis, most commonly used method evaluate dosimetric accuracy, has low sensitivity discrepancies that occur outside this region. The objective study was develop evaluation with high across distributions spanning three orders magnitude. Methods We generalized gamma index include additional criterion, absolute...
Challenges in proton therapy include identifying patients most likely to benefit; ensuring consistent, high-quality plans as its adoption becomes more widespread; and recognizing biological uncertainties that may be related increased relative biologic effectiveness driven by linear energy transfer (LET). Knowledge-based planning (KBP) is a domain help address all three.
The era of high-throughput techniques created big data in the medical field and research disciplines. Machine intelligence (MI) approaches can overcome critical limitations on how those large-scale sets are processed, analyzed, interpreted. 67th Annual Meeting Radiation Research Society featured a symposium MI to highlight recent advancements radiation sciences their clinical applications. This article summarizes three presentations regarding developments for metadata processing ontological...
Abstract Purpose Independent calculations of proton therapy plans are an important quality control procedure in treatment planning. When using custom Monte Carlo (MC) models the beamline, deploying can be laborious, time consuming, and require in‐depth knowledge computational environment. We developed automated framework to remove these barriers integrate our MC model into clinical workflow. Materials Methods The Eclipse Scripting Application Programming Interface was used initiate...
Image-based data mining (IBDM) is a novel voxel-based method for analyzing radiation dose responses that has been successfully applied in adult data. Because anatomic variability and side effects of interest differ children compared to adults, we investigated the feasibility IBDM pediatric analyses.We tested with CT images distributions collected from 167 (aged 10 months 20 years) who received proton radiotherapy primary brain tumors. We used four reference patients assess sensitivity...