A5066197109- Radiomics and Machine Learning in Medical Imaging
- Advanced Radiotherapy Techniques
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Head and Neck Cancer Studies
- Radiation Therapy and Dosimetry
- Bone and Joint Diseases
- Advanced Neuroimaging Techniques and Applications
- Advances in Oncology and Radiotherapy
- Lung Cancer Diagnosis and Treatment
- AI in cancer detection
- Cancer Treatment and Pharmacology
- Lung Cancer Treatments and Mutations
- Advanced Chemical Sensor Technologies
- Management of metastatic bone disease
- Medical Image Segmentation Techniques
- Cancer, Hypoxia, and Metabolism
- Medical Imaging and Analysis
- Advanced X-ray and CT Imaging
- COVID-19 diagnosis using AI
- Bone health and treatments
- Brain Tumor Detection and Classification
- Plant Disease Resistance and Genetics
- Plant Pathogens and Fungal Diseases
The University of Texas MD Anderson Cancer Center
2019-2025
The University of Texas Health Science Center at Houston
2019-2023
PurposeThis prospective study is, to our knowledge, the first report of daily adaptive radiation therapy (ART) for head and neck cancer (HNC) using a 1.5T magnetic resonance imaging-linear accelerator (MR-linac) with particular focus on safety feasibility dosimetric results an online rigid registration-based adapt position (ATP) workflow.Methods MaterialsTen patients HNC received ART 1.5T/7MV MR-linac, 6 ATP only 4 1 offline adapt-to-shape replan. Setup variability custom immobilization...
Oropharyngeal cancer (OPC) primary gross tumor volume (GTVp) segmentation is crucial for radiotherapy. Multiparametric MRI (mpMRI) increasingly used OPC adaptive radiotherapy but relies on manual segmentation. Therefore, we constructed mpMRI deep learning (DL) GTVp auto-segmentation models and determined the impact of input channels performance.
Introduction Diffusion-weighted imaging (DWI) on MRI-linear accelerator (MR-linac) systems can potentially be used for monitoring treatment response and adaptive radiotherapy in head neck cancers (HNC) but requires extensive validation. We performed technical validation to compare six total DWI sequences an MR-linac MR simulator (MR sim) patients, volunteers, phantoms. Methods Ten human papillomavirus-positive oropharyngeal cancer patients ten healthy volunteers underwent a 1.5T with three...
To determine DWI parameters associated with tumor response and oncologic outcomes in head neck (HNC) patients treated radiotherapy (RT).
Background and Purpose: To detect changes in apparent diffusion coefficient (ADC) values during radiation therapy for biological image-guided adaptive therapy, the variability ADC must be characterized. We evaluated reproducibility of head neck cancers on a 1.5T MR-linac. Methods: 39 cancer patients (36 primary tumors, 55 lymph nodes) were imaged with echo-planar imaging diffusion-weighted MRI MR-linac at two time points before start therapy. Mean median volume measured each lesion. Absolute...
Abstract Background In order to accurately accumulate delivered dose for head and neck cancer patients treated with the Adapt Position workflow on 1.5T magnetic resonance imaging (MRI)‐linear accelerator (MR‐linac), low‐resolution T2‐weighted MRIs used daily setup must be segmented enable reconstruction of at each fraction. Purpose this pilot study, we evaluate various autosegmentation methods organs risk (OARs) on‐board from MR‐linac off‐line dose. Methods Seven OARs (parotid glands,...
<h2>Abstract</h2><h3>Objectives</h3> We aim to characterize the serial quantitative apparent diffusion coefficient (ADC) changes of target disease volume using diffusion-weighted imaging (DWI) acquired weekly during radiation therapy (RT) on a 1.5 T MR-Linac and correlate these with tumor response oncologic outcomes for head neck squamous cell carcinoma (HNSCC) patients as part programmatic R-IDEAL biomarker characterization effort. <h3>Methods</h3> Thirty HNSCC who received curative-intent...
The taxonomy of Oculimacula, Rhynchosporium and Spermospora is re-evaluated, along with that phylogenetically related genera. Isolates are identified using comparisons DNA sequences the internal transcribed spacer ribosomal RNA locus (ITS), partial translation elongation factor 1-alpha ( tef1 ), actin act DNA-directed polymerase II largest rpb1 ) second subunit rpb2 genes, nuclear large (LSU), combined their morphological characteristics. Oculimacula restricted to two species, O . acuformis...
Background and Purpose: Conventional magnetic resonance imaging (MRI) poses challenges in quantitative analysis because voxel intensity values lack physical meaning.While standardization methods exist, their effects on head neck MRI have not been investigated.We developed a workflow based healthy tissue region of interest (ROI) to determine consistency within patient cohort.Through this workflow, we systematically evaluated for cancer (HNC) patients.Materials Methods: Two HNC cohorts (30...
Purpose Response assessment of radiotherapy for the treatment intrahepatic cholangiocarcinoma (IHCC) across longitudinal images is challenging due to anatomical changes. Advanced deformable image registration (DIR) techniques are required correlate corresponding tissues time. In this study, accuracy five commercially available DIR algorithms in four planning systems (TPS) was investigated with posttreatment follow‐up response or re‐treatment purposes. Methods Twenty‐nine IHCC patients...
Abstract Radiation therapy (RT) is a crucial treatment for head and neck squamous cell carcinoma (HNSCC); however, it can have adverse effects on patients’ long-term function quality of life. Biomarkers that predict tumor response to RT are being explored personalize improve outcomes. While tissue blood biomarkers limitations, imaging derived from magnetic resonance (MRI) offer detailed information. The integration MRI linear accelerator in the MR-Linac system allows MR-guided radiation...
Radiation therapy in the presence of a strong magnetic field is known to cause regions enhanced and reduced dose at interfaces materials with varying densities, phenomenon as electron return effect (ERE). In this study, novel low-density gel dosimeter was developed simulate lung tissue used measure ERE lung-soft interface. Low-density dosimeters were Fricke xylenol orange gelatin (FXG) ferrous oxide (FOX) gels mixed polystyrene foam beads various sizes. The characterized based on CT number,...
Abstract Background and Purpose Prior work on adaptive organ-at-risk (OAR)-sparing radiation therapy has typically reported outcomes based fixed-number or fixed-interval re-planning, which represent one-size-fits-all approaches do not account for the variable progression of individual patients’ toxicities. The purpose this study was to determine personalized optimal timing re-planning in OAR-sparing therapy, considering limited resources, patients with head neck cancer (HNC). Materials...