Dr. Elhalawani is an Attending Physician in the Department of Radiation Oncology and Instructor in Radiation Oncology at Harvard Medical School. He completed medical school, internship and residency at Ain Shams University in Cairo, Egypt, followed by a research fellowship in radiation oncology at the University of Texas MD Anderson Cancer Center, and clinical fellowships in radiation oncology at the Cleveland Clinic and the Dana-Farber Brigham Cancer Center.
Dr. Elhalawani’s clinical focus is on cancers affecting pediatric patients. He directs his research efforts toward leveraging machine learning and imaging informatics to personalize care for cancer patients. He has a particular interest in integrating multi-parametric magnetic resonance imaging (mpMRI) and quantitative imaging analytics to advance image-guided cancer treatment and surveillance and has led efforts to develop clinical applications of radiomics analytics in radiation oncology.
Publications
Impact of brain metastasis size at the time of radiotherapy on local control and radiation necrosis. View Abstract
Treatment Approach for Metastatic Intracranial Germinoma: A Multi-Institutional Experience. View Abstract
The association between postoperative photon radiotherapy dose and disease control and salvage treatment in pediatric and adolescent ependymoma: a multi-institutional investigation. View Abstract
Hypofractionated Palliative Radiotherapy for Relapsed and Refractory High-Risk Neuroblastoma. View Abstract
Multimodal deep learning improves recurrence risk prediction in pediatric low-grade gliomas. View Abstract
The Brain Tumor Segmentation - Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI. View Abstract
Patterns of recurrence after radiotherapy for high-risk neuroblastoma: Implications for radiation dose and field. View Abstract
Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning. View Abstract
The effect of using a large language model to respond to patient messages. View Abstract
Noninvasive molecular subtyping of pediatric low-grade glioma with self-supervised transfer learning. View Abstract
A genomic score to predict local control among patients with brain metastases managed with radiation. View Abstract
Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge. View Abstract
Radiotherapy for Primary Pediatric Central Nervous System Malignancies: Current Treatment Paradigms and Future Directions. View Abstract
Incidence proportion and prognosis of leptomeningeal disease among patients with breast vs. non-breast primaries. View Abstract
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. View Abstract
Artificial Intelligence and Radiology Education. View Abstract
Neutrophil-to-lymphocyte ratio trend: A novel prognostic predictor in patients with nasopharyngeal carcinoma receiving radiotherapy. View Abstract
Graded Prognostic Assessment (GPA) for Patients With Lung Cancer and Brain Metastases: Initial Report of the Small Cell Lung Cancer GPA and Update of the Non-Small Cell Lung Cancer GPA Including the Effect of Programmed Death Ligand 1 and Other Prognostic Factors. View Abstract
Comprehensive Quantitative Evaluation of Variability in Magnetic Resonance-Guided Delineation of Oropharyngeal Gross Tumor Volumes and High-Risk Clinical Target Volumes: An R-IDEAL Stage 0 Prospective Study. View Abstract
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. View Abstract
18FDG positron emission tomography mining for metabolic imaging biomarkers of radiation-induced xerostomia in patients with oropharyngeal cancer. View Abstract
Are Artificial Intelligence Challenges Becoming Radiology's New "Bee's Knees"? View Abstract
Computed Tomography Radiomics Kinetics as Early Imaging Correlates of Osteoradionecrosis in Oropharyngeal Cancer Patients. View Abstract
Real-world evaluation of the impact of radiotherapy and chemotherapy in elderly patients with glioblastoma based on age and performance status. View Abstract
Tobacco exposure as a major modifier of oncologic outcomes in human papillomavirus (HPV) associated oropharyngeal squamous cell carcinoma. View Abstract
Biomechanical modeling of radiation dose-induced volumetric changes of the parotid glands for deformable image registration. View Abstract
PleThora: Pleural effusion and thoracic cavity segmentations in diseased lungs for benchmarking chest CT processing pipelines. View Abstract
A predictive model of radiation-related fibrosis based on the radiomic features of magnetic resonance imaging and computed tomography. View Abstract
Quantitative Dynamic Contrast-Enhanced MRI Identifies Radiation-Induced Vascular Damage in Patients With Advanced Osteoradionecrosis: Results of a Prospective Study. View Abstract
How Might AI and Chest Imaging Help Unravel COVID-19's Mysteries? View Abstract
Comparison of tumor delineation using dual energy computed tomography versus magnetic resonance imaging in head and neck cancer re-irradiation cases. View Abstract
Optimal Timing of Radiotherapy Following Gross Total or Subtotal Resection of Glioblastoma: A Real-World Assessment using the National Cancer Database. View Abstract
Privacy-preserving distributed learning of radiomics to predict overall survival and HPV status in head and neck cancer. View Abstract
Simultaneously spatial and temporal Higher-Order Total Variations for noise suppression and motion reduction in DCE and IVIM. View Abstract
Clustering of Largely Right-Censored Oropharyngeal Head and Neck Cancer Patients for Discriminative Groupings to Improve Outcome Prediction. View Abstract
Detection of Glioblastoma Subclinical Recurrence Using Serial Diffusion Tensor Imaging. View Abstract
Data from a terminated study on iron oxide nanoparticle magnetic resonance imaging for head and neck tumors. View Abstract
A spatial neighborhood methodology for computing and analyzing lymph node carcinoma similarity in precision medicine. View Abstract
Real-world applications of deep convolutional neural networks in diagnostic cancer imaging. View Abstract
CD8 infiltration is associated with disease control and tobacco exposure in intermediate-risk oropharyngeal cancer. View Abstract
Lymphopenia during radiotherapy in patients with oropharyngeal cancer. View Abstract
Stability analysis of CT radiomic features with respect to segmentation variation in oropharyngeal cancer. View Abstract
Imaging for Response Assessment in Radiation Oncology: Current and Emerging Techniques. View Abstract
Automatic detection of contouring errors using convolutional neural networks. View Abstract
Radiomics features of the primary tumor fail to improve prediction of overall survival in large cohorts of CT- and PET-imaged head and neck cancer patients. View Abstract
Biomechanical modeling of neck flexion for deformable alignment of the salivary glands in head and neck cancer images. View Abstract
Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration. View Abstract
Differences between planned and delivered dose for head and neck cancer, and their consequences for normal tissue complication probability and treatment adaptation. View Abstract
The Potential and Pitfalls of Crowdsourced Algorithm Development in Radiation Oncology. View Abstract
Prospective quantitative quality assurance and deformation estimation of MRI-CT image registration in simulation of head and neck radiotherapy patients. View Abstract
A PET Radiomics Model to Predict Refractory Mediastinal Hodgkin Lymphoma. View Abstract
Imaging-Genomic Study of Head and Neck Squamous Cell Carcinoma: Associations Between Radiomic Phenotypes and Genomic Mechanisms via Integration of The Cancer Genome Atlas and The Cancer Imaging Archive. View Abstract
Radiographic retropharyngeal lymph node involvement in HPV-associated oropharyngeal carcinoma: Patterns of involvement and impact on patient outcomes. View Abstract
An in-silico quality assurance study of contouring target volumes in thoracic tumors within a cooperative group setting. View Abstract
Evaluating the Effect of Right-Censored End Point Transformation for Radiomic Feature Selection of Data From Patients With Oropharyngeal Cancer. View Abstract
Author Correction: Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy. View Abstract
Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks. View Abstract
Practical guidelines for handling head and neck computed tomography artifacts for quantitative image analysis. View Abstract
Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy. View Abstract
Patterns of Local-Regional Failure After Intensity Modulated Radiation Therapy or Passive Scattering Proton Therapy With Concurrent Chemotherapy for Non-Small Cell Lung Cancer. View Abstract
Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges. View Abstract
Utilization of short-course radiation therapy for patients with nonmetastatic rectal adenocarcinoma in the United States. View Abstract
Outcomes of patients in the national cancer database treated non-surgically for localized rectal cancer. View Abstract
Exploring Applications of Radiomics in Magnetic Resonance Imaging of Head and Neck Cancer: A Systematic Review. View Abstract
Gemcitabine-based chemotherapy for advanced biliary tract carcinomas. View Abstract
Deep Learning Algorithm for Auto-Delineation of High-Risk Oropharyngeal Clinical Target Volumes With Built-In Dice Similarity Coefficient Parameter Optimization Function. View Abstract
Treatment at a high-volume centre is associated with improved survival among patients with non-metastatic hepatocellular carcinoma. View Abstract
A large-scale retrospective study of the overall survival outcome in nasopharyngeal carcinoma with hypertension in Chinese population. View Abstract
Analysis of the correlation among hypertension, the intake of ß-blockers, and overall survival outcome in patients undergoing chemoradiotherapy with inoperable stage III non-small cell lung cancer. View Abstract
Risk of Distinctive Hair Changes Associated With Pazopanib in Patients With Renal Cell Carcinoma (RCC) Versus Patients Without RCC: A Comparative Systematic Review and Meta-analysis. View Abstract
Risk of selected gastrointestinal and hepatic toxicities in cancer patients treated with nintedanib: a meta-analysis. View Abstract
Risk of cardiovascular adverse events in patients with solid tumors treated with ramucirumab: A meta analysis and summary of other VEGF targeted agents. View Abstract
S-1-based regimens and the risk of leucopenic complications; a Meta-analysis with comparison to other fluoropyrimidines and non fluoropyrimidines. View Abstract
S-1-based regimens for locally advanced/metastatic non-small-cell lung cancer: a meta-analysis. View Abstract
Risk of endocrine complications in cancer patients treated with immune check point inhibitors: a meta-analysis. View Abstract
Risk of elevated transaminases in non-small cell lung cancer (NSCLC) patients treated with erlotinib, gefitinib and afatinib: a meta-analysis. View Abstract
Risk of Selected Cardiovascular Toxicities in Patients With Cancer Treated With MEK Inhibitors: A Comparative Systematic Review and Meta-Analysis. View Abstract
Risk of selected dermatological toxicities in cancer patients treated with MEK inhibitors: a comparative systematic review and meta-analysis. View Abstract
Doublet BRAF/MEK inhibition versus single-agent BRAF inhibition in the management of BRAF-mutant advanced melanoma, biological rationale and meta-analysis of published data. View Abstract
S-1-based regimens and the risk of oral and gastrointestinal mucosal injury: a meta-analysis with comparison to other fluoropyrimidines. View Abstract
Risk of gastrointestinal complications in cancer patients treated with immune checkpoint inhibitors: a meta-analysis. View Abstract
Risk of hematological toxicities in patients with solid tumors treated with ramucirumab: a meta-analysis. View Abstract
Risk of selected gastrointestinal toxicities in cancer patients treated with MEK inhibitors: a comparative systematic review and meta-analysis. View Abstract
Risk of elevated transaminases in cancer patients treated with immune checkpoint inhibitors: a meta-analysis. View Abstract
Risk of oral and gastrointestinal mucosal injury in patients with solid tumors treated with ramucirumab: a systematic review and meta-analysis. View Abstract
Proteinuria in Patients with Solid Tumors Treated with Ramucirumab: A Systematic Review and Meta-Analysis. View Abstract
Risk of cutaneous toxicities in patients with solid tumors treated with immune checkpoint inhibitors: a meta-analysis. View Abstract
Critical evaluation of ramucirumab in the treatment of advanced gastric and gastroesophageal cancers. View Abstract
Risk of fatal pulmonary events in patients with advanced non-small-cell lung cancer treated with EGF receptor tyrosine kinase inhibitors: a comparative meta-analysis. View Abstract
Adjuvant systemic treatment for elderly breast cancer patients; addressing safety concerns. View Abstract