A5064334845- Head and Neck Cancer Studies
- Radiomics and Machine Learning in Medical Imaging
- Oral health in cancer treatment
- MRI in cancer diagnosis
- Nutrition and Health in Aging
- Dysphagia Assessment and Management
- Advanced Neuroimaging Techniques and Applications
- Pain Management and Opioid Use
- Management of metastatic bone disease
- Bone and Joint Diseases
- Effects of Radiation Exposure
- Medical Imaging Techniques and Applications
- Advanced Radiotherapy Techniques
- Middle East and Rwanda Conflicts
- Spine and Intervertebral Disc Pathology
- Middle East Politics and Society
- Artificial Intelligence in Healthcare and Education
- Prostate Cancer Treatment and Research
- Opioid Use Disorder Treatment
- Healthcare Education and Workforce Issues
- Acute Myeloid Leukemia Research
- Healthcare and Venom Research
- Cancer Genomics and Diagnostics
- Names, Identity, and Discrimination Research
- Salivary Gland Tumors Diagnosis and Treatment
The University of Texas MD Anderson Cancer Center
2018-2024
The University of Texas Health Science Center at Houston
2022-2023
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.
To determine DWI parameters associated with tumor response and oncologic outcomes in head neck (HNC) patients treated radiotherapy (RT).
Introduction Acute pain is common among oral cavity/oropharyngeal cancer (OCC/OPC) patients undergoing radiation therapy (RT). This study aimed to predict acute severity and opioid doses during RT using machine learning (ML), facilitating risk-stratification models for clinical trials. Methods A retrospective examined 900 OCC/OPC treated with 2017–2023. Pain intensity was assessed NRS (0-none, 10-worst) total were calculated morphine equivalent daily dose (MEDD) conversion factors....
Sarcopenia is a prognostic factor in patients with head and neck cancer (HNC). can be determined using the skeletal muscle index (SMI) calculated from cervical (SM) segmentations. However, SM segmentation requires manual input, which time-consuming variable. Therefore, we developed fully-automated approach to segment vertebra SM.390 HNC contrast-enhanced CT scans were utilized (300-training, 90-testing). Ground-truth single-slice segmentations at C3 manually generated. A multi-stage deep...
The accurate determination of sarcopenia is critical for disease management in patients with head and neck cancer (HNC). Quantitative currently dependent on manually-generated segmentations skeletal muscle derived from computed tomography (CT) cross-sectional imaging. This has prompted the increasing utilization machine learning models automated determination. However, extant datasets do not provide necessary at C3 vertebral level needed building these models. In this data descriptor, a set...
Pain during Radiation Therapy (RT) for oral cavity/oropharyngeal cancer (OC/OPC) is a clinical challenge due to its multifactorial etiology and variable management. The objective of this study was define complex pain profiles through temporal characterization descriptors, physiologic state, RT-induced toxicities trajectories understanding.
Abstract Background/Purpose Adequate image registration of anatomical and functional magnetic resonance imaging (MRI) scans is necessary for MR‐guided head neck cancer (HNC) adaptive radiotherapy planning. Despite the quantitative capabilities diffusion‐weighted (DWI) MRI treatment plan adaptation, geometric distortion remains a considerable limitation. Therefore, we systematically investigated various deformable (DIR) methods to co‐register DWI T2‐weighted (T2W) images. Materials/Methods We...
Abstract Acute myeloid leukemia is associated with the abnormal proliferation of progenitor cells unable to differentiate. Somatic gain-of-function mutations in isocitrate dehydrogenase (IDH) 1 occur 10% newly diagnosed AML patients. IDH1 cause intracellular accumulation oncometabolite, 2-hydroxyglutarate (2-HG), which results a hyper-methylation phenotype and block differentiation. Inhibitors mutant enzyme reduce levels 2-HG, relieves differentiation allowing achieve terminal maturation....
ABSTRACT Background/Purpose Sarcopenia is a prognostic factor in patients with head and neck cancer (HNC). can be determined using the skeletal muscle index (SMI) calculated from cervical SM segmentations. However, segmentation requires manual input, which time-consuming variable. Therefore, we developed fully-automated approach to segment vertebra SM. Materials/Methods 390 HNC corresponding contrast-enhanced computed tomography (CT) scans were utilized (300-training, 90-testing)....
Abstract Purpose/Objective(s) To determine diffusion-weighted imaging (DWI) MRI parameters associated with tumor response and oncologic outcomes in head neck (HNC) patients treated definitive radiation therapy (RT). Materials/Methods Eighty-six HNC enrolled an active prospective study at The University of Texas MD Anderson Cancer Center were included the analysis. Patients had MRIs pre-, mid-, post-RT completion. Inclusion criteria adults histologic evidence malignant neoplasm indicated for...
Abstract Background and Purpose 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 determined the impact of input channels performance. Materials Methods ground truth segmentations were manually generated 30 patients from a clinical trial. We evaluated...
Abstract Background Acute pain is a common and debilitating symptom experienced by oral cavity oropharyngeal cancer (OC/OPC) patients undergoing radiation therapy (RT). Uncontrolled can result in opioid overuse increased risks of long-term dependence. The specific aim this exploratory analysis was the prediction severe acute use on-treatment setting, to develop risk-stratification models for pragmatic clinical trials. Materials Methods A retrospective study conducted on 900 OC/OPC treated...
Radium-223 dichloride (Ra-223 Xofigo) has recently been approved as an addition to the host of available therapies in USA a treatment option for metastatic castrate-resistant prostate cancer (mCRPC) with bone metastases. This study describes our initial experience patients treated Ra-223 dichloride. It attempts optimize patients' selection best outcome from therapy.Consecutive who were referred prospectively followed. Patients' demographics, functional status per Eastern Cooperative Oncology...
The date is August 6, 2006. Just an ordinary Sunday afternoon in Massachusetts. Nothing remarkable about the apartment either; picture room of a typical engineering student. Stuff everywhere, chaos reigns. But mind this room’s inhabitant, blogger known to his online readers by pen-name ‘Jij,’ connections are being made time and space. For Jij, violence meted out on country Lebanon lazy all too real. So real he gripped thoughts family far away: “My mess. I am sitting middle war zone. Every...
Abstract The accurate determination of sarcopenia is critical for disease management in patients with head and neck cancer (HNC). Quantitative currently dependent on manually-generated segmentations skeletal muscle derived from computed tomography (CT) cross-sectional imaging. This has prompted the increasing utilization machine learning models automated determination. However, extant datasets CT imaging do not provide necessary at C3 vertebral level needed building these models. In this...
Abstract Purpose Parotid whole-gland magnetic resonance (MR) T1 intensity, thresholded at the 90th percentile (T1 P90), has been previously reported to be a candidate MR imaging biomarker (MR-IBM) for improved prediction of xerostomia development after radiotherapy. Although P90 was derived from parotid glands T1-weighted MRI, in this study, we aim validate an external cohort using fat only images reconstructed Dixon MRI sequence, as well determining alternative intensity thresholds...
Abstract Background/Purpose Adequate image registration of anatomic and functional MRI scans is necessary for MR-guided head neck cancer (HNC) adaptive radiotherapy planning. Despite the quantitative capabilities diffusion-weighted imaging (DWI) treatment plan adaptation, geometric distortion remains a considerable limitation. Therefore, we systematically investigated various deformable (DIR) methods to co-register DWI T2-weighted (T2W) images. Materials/Methods We compared three commercial...
It is perhaps ironic that the man who controlled broadcast of his image with an iron grip was executed in one most widely watched news events recent times. But then you could say last 14 months alive were long television performance. Although Saddam Hussein’s trial for killing 148 Iraqi Shi’as from village Dujail dragged on a grueling months, it actually made stunning courtroom drama: once-powerful dictator pulled hole ground looking as dismal can be imagined; he interrogated, checked fleas...