A5007449985- Advanced Radiotherapy Techniques
- Radiation Therapy and Dosimetry
- Lung Cancer Diagnosis and Treatment
- Prostate Cancer Diagnosis and Treatment
- Advances in Oncology and Radiotherapy
- Prostate Cancer Treatment and Research
- Cardiac pacing and defibrillation studies
- Head and Neck Cancer Studies
- Glioma Diagnosis and Treatment
- Advanced MRI Techniques and Applications
- Ovarian cancer diagnosis and treatment
- Endometrial and Cervical Cancer Treatments
- Medical Imaging Techniques and Applications
- Biomedical and Engineering Education
- Nuclear Physics and Applications
- Childhood Cancer Survivors' Quality of Life
- Global Health and Surgery
- Brain Metastases and Treatment
- Management of metastatic bone disease
- Economic and Financial Impacts of Cancer
- Medical Imaging and Analysis
- Advanced Statistical Process Monitoring
- Radiomics and Machine Learning in Medical Imaging
- Oral health in cancer treatment
- Radiology practices and education
Emory University
2016-2025
Emory Healthcare
2022
Southend University Hospital NHS Foundation Trust
2014
University of California, Los Angeles
2012-2013
Objective: The purpose of this work is to develop and validate a learning-based method derive electron density from routine anatomical MRI for potential MRI-based SBRT treatment planning. Methods: We proposed integrate dense block into cycle generative adversarial network (GAN) effectively capture the relationship between CT synthesis. A cohort 21 patients with co-registered MR pairs were used evaluate our by leave-one-out cross-validation. Mean absolute error, peak signal-to-noise ratio...
Abstract Purpose Deep learning‐based segmentation of organs‐at‐risk (OAR) is emerging to become mainstream in clinical practice because the superior performance over atlas and model‐based autocontouring methods. While several commercial deep autosegmentation solutions are now available, implementation these tools still at such a primitive stage that acceptance criteria underdeveloped due lack knowledge about systems’ tendencies failure modes. As starting point iterative process...
Due to glioblastoma's infiltrative nature, an optimal radiation therapy (RT) plan requires targeting infiltration not identified by anatomical magnetic resonance imaging (MRI). Here, high-resolution, whole-brain spectroscopic MRI (sMRI) is used describe tumor alongside and simulate the degree which it modifies RT target planning. In 11 patients with glioblastoma, data from preRT sMRI scans were processed give metabolite maps normalized contralateral white matter. Maps depicting choline...
PURPOSE Pediatric radiotherapy is a necessary and challenging component of oncologic care for children in low- middle-income countries (LMICs). Collaboration between institutions LMICs high-income (HICs) has been shown to be effective improving treatment outcomes; however, literature regarding pediatric twinning partnerships limited. METHODS Emory University long-standing collaboration with Tikur Anbessa Specialized Hospital (TASH) certain medical specialties. After securing institutional...
High radiation doses to the heart have been correlated with poor overall survival in patients receiving therapy for stage III non-small cell lung cancer (NSCLC). We built a knowledge-based planning (KBP) tool limit dose during creation of volumetric modulated arc (VMAT) treatment plans being treated 60 Gy 30 fractions NSCLC.
The late effects of RT are not well reported in patients with oral tongue cancer (OTC). This study reports the incidence and factors associated development OTC patients.Patients treated our institution from 2003 to 2013 were evaluated. association between doses, including mandible maximum minimum doses total 3D dose, toxicity, defined as osteoradionecrosis (ORN), percutaneous endoscopic gastrostomy (PEG) tube dependence for >6 months after treatment, narcotic dependency posttreatment...
The implementation of knowledge-based planning (KBP) continues to grow in radiotherapy clinics. KBP guides radiation treatment design by generating clinically acceptable plans a timely and resource-efficient manner. role multiple models tailored for variations within disease site remains undefined part because the substantial effort number training cases required create high-quality model. In this study, our aim was explore whether site-specific lead meaningful differences plan quality...
Abstract Background Knowledge‐based planning (KBP) is increasingly implemented clinically because of its demonstrated ability to improve treatment efficiency and reduce plan quality variations. However, cases with large dose‐volume histogram (DVH) prediction uncertainties may still need manual adjustments by the planner achieve high quality. Purpose The purpose this study develop a data‐driven method detect patients so that intentional effort directed these patients. Methods We apply an...