A5045727629- Advanced Radiotherapy Techniques
- Lung Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Head and Neck Cancer Studies
- MRI in cancer diagnosis
- Lung Cancer Treatments and Mutations
- Gastrointestinal disorders and treatments
- Enhanced Recovery After Surgery
- Advances in Oncology and Radiotherapy
- Dysphagia Assessment and Management
- Colorectal Cancer Screening and Detection
- Nanoplatforms for cancer theranostics
- Cancer survivorship and care
- Hydrocarbon exploration and reservoir analysis
- Radiopharmaceutical Chemistry and Applications
- Radiation Dose and Imaging
- Child and Adolescent Health
- Nanoparticle-Based Drug Delivery
- Effects of Radiation Exposure
- Hepatocellular Carcinoma Treatment and Prognosis
- Intestinal Malrotation and Obstruction Disorders
- Cancer Diagnosis and Treatment
- Geochemistry and Geologic Mapping
Virginia Commonwealth University
2015-2024
Washington University in St. Louis
2021-2022
University Health System
2019
Beaumont Hospital
2019
This work seeks to evaluate the combatting batch effect (ComBat) harmonization algorithm's ability reduce variation in radiomic features arising from different imaging protocols and independently verify published results. The Gammex computed tomography (CT) electron density phantom Quasar body were imaged using 32 chest protocols. 107 extracted 15 spatially varying spherical contours between 1.5 cm 3 each of lung300 density, lung450 wood inserts. Kolmogorov-Smirnov test was used determine...
Radiolabeled liposomes have been employed as diagnostic tools to monitor in vivo distribution of real-time, which helps optimizing the therapeutic efficacy liposomal drug delivery. This work utilizes platform [111In]-Liposome a delivery vehicle, encapsulating novel 18F-labeled carboplatin derivative ([18F]-FCP) dual-molecular imaging tool both radiolabeled and carrier. The approach has potential for clinical translation individual patients using dual modal clinically-relevant radionuclides...
To evaluate the repeatability of MRI and CT derived texture features to investigate feasibility use in predictive single multi-modality models for radiotherapy non-small cell lung cancer. Methods: Fifty-nine were extracted from unfiltered wavelet filtered images. Repeatability test-retest helical 4D scans, true fast with steady state precession (TRUFISP), volumetric interpolation breath-hold examination (VIBE) was determined by concordance correlation coefficient (CCC). A workflow...
PurposeRadiographic lung changes after stereotactic body radiation therapy (SBRT) vary widely between patients. Standardized descriptions of acute (≤6 months treatment) and late (>6 benign have been proposed but the reliable application these classification systems has not demonstrated. Herein, we examine interobserver reliability classifying SBRT.Methods materialsA total 280 follow-up computed tomography scans at 3, 6, 12 post-treatment were analyzed in 100 patients undergoing thoracic...
Abstract Purpose Linear accelerator quality assurance (QA) in radiation therapy is a time consuming but fundamental part of ensuring the performance characteristics delivering machines. The goal this work to develop an automated and standardized QA plan generation analysis system Oncology Information System (OIS) streamline process. Methods Automating process includes two software components: AutoQA Builder generate daily, monthly, quarterly, miscellaneous periodic linear plans within...
Abstract Compositional data (CD) is mostly analyzed using ratios of components and log-ratio transformations to apply known multivariable statistical methods. Therefore, CD where some equal zero represents a problem. Furthermore, when the measured longitudinally, appear come from different sub-populations, analysis becomes highly complex. Our objective build model addressing structural zeros in longitudinal it radiation-induced lung damage (RILD) over time. We propose two-part mixed-effects...
Purpose: To evaluate CT intensity change of lung tumors during radiation therapy. Methods: Repeated 4D images were acquired on a simulator the course therapy for 27 cancer patients IRB approved protocols. All subjects received definitive treatment ± chemotherapy. scans completed prior to treatment, and 2–7 times course. Primary tumor was delineated by an experienced Radiation Oncologist. Contours thresholded between −100 HU 200 remove airways bone. Correlations in mean initial intensity,...
Purpose: To evaluate repeatability of lung tumor texture features from inspiration/expiration MR image pairs for potential use in patient specific care models and applications. Repeatability is a desirable necessary characteristic included such models. Methods: T1-weighted Volumetric Interpolation Breath-Hold Examination (VIBE) and/or T2-weighted MRI scans were acquired 15 patients with non-small cell cancer before during radiotherapy total 32 34 same session inspiration-expiration...
Purpose: To develop a hands‐on learning experience that explores the radiological and structural properties of everyday items applies this knowledge to design simple phantom for radiotherapy exercises. Methods: Students were asked compile list readily available materials thought have radiation attenuation similar tissues within human torso. Participants scanned samples suggested regions interest (ROIs) used characterize bulk properties. Properties each material assessed via comparison Gammex...
Background: Patient engagement is fundamental to postoperative rehabilitation. Information leaflets serve enhance patient understanding and increase in their post operative care by providing patients relatives with important relevant information. Engaging candidates preoperatively can assist managing expectations promote participation decision making. Lack of physiotherapy, or poor lead increased morbidity operatively. Recent evidence suggests that one preoperative 30-minute physiotherapy...