A5102950191- Advanced Radiotherapy Techniques
- Prostate Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Prostate Cancer Treatment and Research
- Head and Neck Cancer Studies
- Lung Cancer Diagnosis and Treatment
- Pancreatic and Hepatic Oncology Research
- Medical Imaging Techniques and Applications
- Medical Imaging and Analysis
- Glioma Diagnosis and Treatment
- Oral health in cancer treatment
- Effects of Radiation Exposure
- Dysphagia Assessment and Management
- Cancer Diagnosis and Treatment
- Spine and Intervertebral Disc Pathology
- Management of metastatic bone disease
- Radiation Dose and Imaging
- Global Cancer Incidence and Screening
- Tracheal and airway disorders
- Advances in Oncology and Radiotherapy
- Cancer Genomics and Diagnostics
- Neuroblastoma Research and Treatments
- AI in cancer detection
- Gastric Cancer Management and Outcomes
- Multiple and Secondary Primary Cancers
University of Dundee
2024
Ochsner Medical Center
2024
Johns Hopkins Hospital
2014-2019
Johns Hopkins University
2014-2018
WellSpan York Hospital
2018
Johns Hopkins Medicine
2015-2018
Sidney Kimmel Comprehensive Cancer Center
2015-2018
WellSpan Health
2018
Seattle University
2015
University of Washington
2015
Purpose: To develop a hypothesis‐generating framework for automatic extraction of dose‐outcome relationships from an in‐house, analytic oncology database. Methods: Dose–volume histograms (DVH) and clinical outcomes have been routinely stored to the authors’ database 684 head neck cancer patients treated 2007 2014. Database queries were developed extract that had assessed at least 100 patients, as well DVH curves organs‐at‐risk (OAR) contoured patients. paired OAR (e.g., left right parotids)...
The capture of high-quality treatment data and outcomes is necessary in order to learn from our clinical experiences with big analytics. In radiotherapy, there are several practical challenges overcome. Practical aspects collection discussed pointing a need for culture change practice one that captures structured patient-related routine care prospective manner. Radiation dosimetry the contoured anatomy must also be captured routinely represent best estimate delivered radiation. quality...
Cauda equina syndrome (CES), conus medullaris (CMS), and sciatica-like syndromes or "sciatica mimics" (SM) may present as diagnostic and/or therapeutic dilemmas for the practicing spine surgeon. There is considerable controversy regarding appropriate definition diagnosis of these entities, well indications timing surgery. Our goal to formulate most current, evidence-based recommendations definition, diagnosis, management CES, CMS, SM syndromes. We performed a systematic literature search in...
Purpose In radiotherapy, it is necessary to characterize dose over the patient anatomy target areas and organs at risk. Current tools provide methods describe in terms of percentage volume magnitude dose, but are limited by assumptions anatomical homogeneity within a region interest (ROI) non-spatially aware description dose. A practice termed radio-morphology proposed as method apply knowledge parametrically derive new shapes substructures from normalized set anatomy, ensuring consistently...
Purpose: To evaluate localization accuracy resulting from rigid registration of locally-advanced lung cancer targets using fully automatic and semi-automatic protocols for image-guided radiation therapy. Methods: Seventeen patients, fourteen also presenting with involved lymph nodes, received computed tomography (CT) scans once per week throughout treatment under active breathing control. A physician contoured both node all weekly scans. Various techniques were then performed individual...
Purpose: To implement and evaluate a block matching‐based registration (BMR) algorithm for locally advanced lung tumor localization during image‐guided radiotherapy. Methods: Small (1 cm 3 ), nonoverlapping image subvolumes (“blocks”) were automatically identified on the planning to cover surface using measure of local intensity gradient. Blocks independently registered on‐treatment rigid transform. improve speed robustness, registrations performed iteratively from coarse fine resolution. At...
For patients with localized pancreatic cancer (PC) vascular involvement, prediction of resectability is critical to define optimal treatment. However, the current definitions borderline resectable (BR) and locally advanced (LA) disease leave considerable heterogeneity in outcomes within these classifications. Moreover, factors beyond involvement likely affect ability undergo resection. Herein, we share our experience developing a model that incorporates detailed radiologic, patient,...
Purpose: Advancement in Radiation Oncology (RO) practice develops through evidence based medicine and clinical trial. Knowledge usable for treatment planning, decision support research is contained our data, stored an Oncospace database. This data store the tools populating analyzing it are compatible with standard RO shared collaborating institutions. The question ‐ what protocol system development sharing within Consortium? We focus example on technology meaning necessary to share across...
Purpose: To evaluate deformable mesh registration (DMR) as a tool for validating automatic target algorithms used during image‐guided radiation therapy. Methods: DMR was implemented in hierarchical model, with rigid, affine, and B‐spline transforms optimized succession to register pair of surface meshes. The gross tumor volumes (primary involved lymph nodes) were contoured by physician on weekly CT scans cohort lung cancer patients converted meshes from images registered the planning CT,...