Jeremy M. Aymard
A5013503587- Head and Neck Cancer Studies
- Radiomics and Machine Learning in Medical Imaging
- Oral health in cancer treatment
- Head and Neck Surgical Oncology
- Lung Cancer Diagnosis and Treatment
- Brain Metastases and Treatment
- Salivary Gland Disorders and Functions
- Classical Philosophy and Thought
- Cancer Diagnosis and Treatment
- Medieval and Classical Philosophy
- Medical Imaging Techniques and Applications
- Cancer survivorship and care
- Pancreatic and Hepatic Oncology Research
- Cancer-related molecular mechanisms research
- Sinusitis and nasal conditions
- Neuroethics, Human Enhancement, Biomedical Innovations
Abilene Christian University
2017-2019
The University of Texas MD Anderson Cancer Center
2017-2019
Radiomics is one such "big data" approach that applies advanced image refining/data characterization algorithms to generate imaging features can quantitatively classify tumor phenotypes in a non-invasive manner. We hypothesize certain textural of oropharyngeal cancer (OPC) primary tumors will have statistically significant correlations patient outcomes as local control. Patients from an IRB-approved database dispositioned (chemo)radiotherapy for locally OPC were included this retrospective...
Cancers arising from the oropharynx have become increasingly more studied in past few years, as they are now epidemic domestically. These tumors treated with definitive (chemo)radiotherapy, and local recurrence a primary mode of clinical failure. Recent data suggest that 'radiomics', or extraction image texture analysis to generate mineable quantitative medical images, can reflect phenotypes for various cancers. Several groups shown developed radiomic signatures, head neck cancers, be...
Radiomics leverages existing image datasets to provide non-visible data extraction via post-processing, with the aim of identifying prognostic, and predictive imaging features at a sub-region interest level. However, application radiomics is hampered by several challenges such as lack acquisition/analysis method standardization, impeding generalizability. As yet, remains intriguing, but not clinically validated. We aimed test feasibility non-custom-constructed platform for disseminating...
Given the potential for older patients to experience exaggerated toxicity and symptoms, this study was performed characterize patient reported outcomes in following definitive radiation therapy (RT) oropharyngeal cancer (OPC). Cancer-free head neck survivors (>6 months since treatment completion) were eligible participation a questionnaire-based study. Participants completed MD Anderson Symptom Inventory-Head Neck module (MDASI-HN). Those ≥65 years old at OPC with RT included. Individual...
Objective To evaluate long‐term global and site‐specific health‐related quality of life (HRQoL) in patients treated for sinonasal nasopharyngeal malignancies. Study Design Cross‐sectional. Methods One hundred fourteen with malignancies received surgery, radiation, systemic chemotherapy, or a combination thereof, curative intent. Validated ([EuroQol‐5D] Visual Analogue Scale [EQ‐5D VAS]) disease‐specific instruments (MD Anderson Symptom Inventory–Head Neck [MDASI‐HN], Anterior Skull Base...