Clifton D. Fuller

Publications

• https://www.ncbi.nlm.nih.gov/myncbi/clifton.fuller.1/bibliography/public/
• Magnetic Resonance-Guided Radiation Therapy for Head and Neck Cancers
• Systematic Review of Genetic Polymorphisms Associated with Acute Pain and Relevant Acute Toxicities Induced by Radiotherapy for Head and Neck Cancer.
• Systematic Review of Genetic Polymorphisms Associated with Acute Pain and Relevant Acute Toxicities Induced by Radiotherapy for Head and Neck Cancer
• CD8 infiltration is associated with disease control and tobacco exposure in intermediate-risk oropharyngeal cancer
• Clustering of Largely Right-Censored Oropharyngeal Head and Neck Cancer Patients for Discriminative Groupings to Improve Outcome Prediction
• Inconsistent Partitioning and Unproductive Feature Associations Yield Idealized Radiomic Models
• Comprehensive Investigation on Controlling for CT Imaging Variabilities in Radiomics Studies
• In vivo assessment of the safety of standard fractionation Temporally Feathered Radiation Therapy (TFRT) for head and neck squamous cell carcinoma: An R-IDEAL Stage 1/2a first-in-humans/feasibility demonstration of new technology implementation
• Segmentation stability of human head and neck cancer medical images for radiotherapy applications under de-identification conditions: benchmarking data sharing and artificial intelligence use-cases
• Application of simultaneous uncertainty quantification for image segmentation with probabilistic deep learning: Performance benchmarking of oropharyngeal cancer target delineation as a use-case
• Factors Associated With Open Access Publishing Costs in Oncology Journals: Cross-sectional Observational Study (Preprint)
• Factors Associated With Open Access Publishing Costs in Oncology Journals: Cross-sectional Observational Study
• Long‐term outcomes of modern multidisciplinary management of sinonasal cancers: The M. D. Anderson experience
• Patterns of Failure for Recurrent Head and Neck Squamous Cell Carcinoma Treated with Salvage Surgery and Postoperative IMRT Reirradiation
• Identification of Key Elements in Prostate Cancer for Ontology Building via a Multidisciplinary Consensus Agreement
• DASS Good: Explainable Data Mining of Spatial Cohort Data
• Spatially-aware clustering improves AJCC-8 risk stratification performance in oropharyngeal carcinomas
• Prevalence of pituitary hormone dysfunction following radiotherapy for sinonasal and nasopharyngeal malignancies
• Factors Associated With Altmetric Attention Scores for Randomized Phase III Cancer Clinical Trials
• Systematic Review of Genetic Polymorphisms Associated with Acute Pain Induced by Radiotherapy for Head and Neck Cancers
• Dysphagia profiles after primary transoral robotic surgery or radiation for oropharyngeal cancer: A registry analysis
• Hypothyroidism following Radiotherapy for Head and Neck Cancer: A Systematic Review of the Literature and Opportunities to Improve the Therapeutic Ratio
• Highly conformal reirradiation in patients with prior oropharyngeal radiation: Clinical efficacy and toxicity outcomes
• Outcomes and toxicities following stereotactic ablative radiotherapy for pulmonary metastases in patients with primary head and neck cancer
• Swallowing‐related outcomes associated with late lower cranial neuropathy in long‐term oropharyngeal cancer survivors: cross‐sectional survey analysis
• A prospective evaluation of health‐related quality of life after skull base re‐irradiation
• Prognostic factors and survival in adenoid cystic carcinoma of the sinonasal cavity
• Decreased gastrostomy tube incidence and weight loss after transoral robotic surgery for low‐ to intermediate‐risk oropharyngeal squamous cell carcinoma
• Incompletely treated malignancies of the major salivary gland: Toward evidence‐based care
• Longitudinal Changes in the Carotid Arteries of Head and Neck Cancer Patients Following Radiation Therapy: Results from a Prospective Serial Imaging Biomarker Characterization Study
• Outcomes of patients diagnosed with carcinoma metastatic to the neck from an unknown primary source and treated with intensity‐modulated radiation therapy
• Dynamic Imaging Grade of Swallowing Toxicity (DIGEST): Scale development and validation
• Symptom burden as a driver of decisional regret in long‐term oropharyngeal carcinoma survivors
• Delayed lower cranial neuropathy after oropharyngeal intensity‐modulated radiotherapy: A cohort analysis and literature review
• Outcomes for olfactory neuroblastoma treated with induction chemotherapy
• Reply to radiotherapy for human papillomavirus‐positive oropharyngeal cancers in the National Cancer Data Base
• Data Farming to Table: Combined Use of a Learning Health System Infrastructure, Statistical Profiling, and Artificial Intelligence for Automating Toxicity and 3-year Survival for Quantified Predictive Feature Discovery from Real-World Data for Patients Having Head and Neck Cancers
• Combination Chemotherapy Optimization with Discrete Dosing
• Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining
• Artificial Intelligence and Machine Learning in Cancer Related Pain: A Systematic Review
• Tongue electrical impedance myography correlates with functional, neurophysiologic, and clinical outcome measures in long‐term oropharyngeal cancer survivors with and without hypoglossal neuropathy: An exploratory study
• Front Cover
• Dyadic Yoga for Head and Neck Cancer Patients Undergoing Chemoradiation and their Family Caregivers
• Lost in the Plot: Missing Visual Elements in Kaplan-Meier Plots of Phase III Oncology Trials
• Prevention and Management of Osteoradionecrosis in Patients With Head and Neck Cancer Treated With Radiation Therapy: ISOO-MASCC-ASCO Guideline
• Markov models for clinical decision‐making in radiation oncology: A systematic review
• Lost in the plot: missing visual elements in Kaplan-Meier plots of phase III oncology trials
• Application of simultaneous uncertainty quantification and segmentation for oropharyngeal cancer use-case with Bayesian deep learning
• Improving the clinical meaning of surrogate endpoints: An empirical assessment of clinical progression in phase III oncology trials
• Collaborative Filtering for the Imputation of Patient Reported Outcomes
• Mandibular dose-volume predicts time-to-osteoradionecrosis in an actuarial normal-tissue complication probability (NTCP) model: External validation of right-censored clinico-dosimetric and competing risk application across international multi-institutional observational cohorts and online graphical user interface clinical support tool assessment
• DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer
• Code and Data Repository for Combination Chemotherapy Optimization with Discrete Dosing
• The QIBA Profile for Diffusion-Weighted MRI: Apparent Diffusion Coefficient as a Quantitative Imaging Biomarker
• Tumor-Associated Tractography Derived from High-Angular-Resolution Q-Space MRI May Predict Patterns of Cellular Invasion in Glioblastoma
• The 2024 International Society of Oral Oncology-Multinational Association of Supportive Care in Cancer-American Society of Clinical Oncology guidelines for the prevention and management of osteoradionecrosis of the jaw
• Deep learning NTCP model for late dysphagia after radiotherapy for head and neck cancer patients based on 3D dose, CT and segmentations
• Post head and neck cancer radiation therapy dynamic contrast enhanced magnetic resonance imaging association with high mandibular radiation dose
• Optimizing Atlas Counts for MRI-Guided Atlas-Based Autosegmentation of Swallowing Muscles in Head and Neck Radiotherapy
• Feasibility of Longitudinal Relaxation Rate Mapping with Non-Cartesian Sampling and Compressed Sensing on a 1.5T MR-Linac
• Hypoglossal Neuropathy in the Pathogenesis of Fibrosis‐Related Late‐Radiation Associated Dysphagia: A Correlative Analysis Utilizing Electromyography to Explore the Frequency of Clinical and Subclinical Neuropathy in a Pilot Dysphagia Trial
• From Imaging to Impact: A Multi-Disciplinary T32 Program Framework and Initial Insights for Training in Image-Guided Cancer Therapy
• Post-RT Head and Neck DCE-MRI: Association Between Mandibular Dose and ve
• Proportional Hazards Violations in Phase III Cancer Clinical Trials: A Potential Source of Trial Misinterpretation.
• Technical development and In Silico implementation of SyntheticMR in head and neck adaptive radiation therapy: A prospective R‐IDEAL stage 0/1 technology development report
• Dataset of weekly intra-treatment diffusion weighted imaging in head and neck cancer patients treated with MR-Linac
• National Institutes of Health Funding to Support Radiation Oncology Research: A Comparative Trend Analysis Over a Decade, 2011-2021
• Overview of the Head and Neck Tumor Segmentation for Magnetic Resonance Guided Applications (HNTS-MRG) 2024 Challenge.
• Adaptive Radiation Therapy for Head and Neck Cancer.
• Image-based mandibular and maxillary parcellation and annotation using computed tomography (IMPACT): a deep learning-based clinical tool for orodental dose estimation and osteoradionecrosis assessment
• Externally validated digital decision support tool for time-to-osteoradionecrosis risk-stratification using right-censored multi-institutional observational cohorts
• Weekly Intra-Treatment Diffusion Weighted Imaging Dataset for Head and Neck Cancer Patients Undergoing MR-linac Treatment
• Association of differential censoring with survival and suboptimal control arms among oncology clinical trials
• Radiographic classification of mandibular osteoradionecrosis: A blinded prospective multi-disciplinary interobserver diagnostic performance study
• A look-up-table development to facilitate CT simulation of MR-Linac treatment
• Comprehensive Analysis of Conditional Survival in Radiation-treated Patients With Gynecologic Malignancies Using the SEER Database.
• International Multi-Specialty Expert Physician Preoperative Identification of Extranodal Extension in Oropharyngeal Cancer Patients using Computed Tomography: Prospective Blinded Human Inter-Observer Performance Evaluation
• Radiographic classification of mandibular osteoradionecrosis: A blinded prospective multi-disciplinary interobserver diagnostic performance study
• Designing an Electronic Patient Reported Outcomes Information Infrastructure Supported by the RE-AIM Implementation Framework
• A Method for Sensitivity Analysis of Automatic Contouring Algorithms Across Different MRI Contrast Weightings Using SyntheticMR
• Prevalence and implications of significance testing for baseline covariate imbalance in randomised cancer clinical trials: The Table 1 Fallacy
• Postprogression therapy and confounding for the estimated treatment effect on overall survival in phase III oncology trials
• Development and Standardization of a Classification System for Osteoradionecrosis: Implementation of a Risk-Based Model
• Evaluation of a comprehensive set of normal tissue complication probability models for patients with head and neck cancer in an international cohort
• Deep learning–based dose prediction to improve the plan quality of volumetric modulated arc therapy for gynecologic cancers
• Machine learning predicting acute pain and opioid dose in radiation treated oropharyngeal cancer patients
• Three-Dimensional Deep Learning Normal Tissue Complication Probability Model to Predict Late Xerostomia in Patients With Head and Neck Cancer
• A method for sensitivity analysis of automatic contouring algorithms across different contrast weightings using synthetic magnetic resonance imaging
• Multi‐modal segmentation with missing image data for automatic delineation of gross tumor volumes in head and neck cancers
• Image-based Mandibular and Maxillary Parcellation and Annotation using Computer Tomography (IMPACT): A Deep Learning-based Clinical Tool for Orodental Dose Estimation and Osteoradionecrosis Assessment
• Optimal Timing of Organs-at-Risk-Sparing Adaptive Radiation Therapy for Head-and-Neck Cancer under Re-planning Resource Constraints
• Development and implementation of optimized endogenous contrast sequences for delineation in adaptive radiotherapy on a 1.5T MR-linear-accelerator: a prospective R-IDEAL stage 0-2a quantitative/qualitative evaluation of in vivo site-specific quality-assurance using a 3D T2 fat-suppressed platform for head and neck cancer
• Safety and Tolerability of Online Adaptive High-Field Magnetic Resonance–Guided Radiotherapy
• Overview of the Head and Neck Tumor Segmentation for Magnetic Resonance Guided Applications (HNTS-MRG) 2024 Challenge
• Artificial intelligence uncertainty quantification in radiotherapy applications − A scoping review
• Manual Therapy for Fibrosis-Related Late Effect Dysphagia in Head and Neck Cancer Survivors
• International Expert-Based Consensus Definition, Classification Criteria, and Minimum Data Elements for Osteoradionecrosis of the Jaw: An Interdisciplinary Modified Delphi Study
• Artificial Intelligence and Machine Learning in Cancer Pain: A Systematic Review
• Comparison of Machine Leaning Models for Prediction of Acute Pain Severity and On-Treatment Opioid Utilization in Oral Cavity and Oropharyngeal Cancer Patients Receiving Radiation Therapy: Exploratory Analysis from a Large-Scale Retrospective Cohort
• Clinical and prognostic differences in oropharyngeal squamous cell carcinoma in USA and Denmark, two HPV high-prevalence areas
• Cost-effectiveness of personalized policies for implementing organ-at-risk sparing adaptive radiation therapy in head and neck cancer
• International multispecialty expert physician preoperative identification of extranodal extension in patients with oropharyngeal cancer using computed tomography: Prospective blinded human inter‐observer performance evaluation
• Detection of alteration in carotid artery volumetry using standard-of-care computed tomography surveillance scans following unilateral radiation therapy for early-stage tonsillar squamous cell carcinoma survivors: a cross-sectional internally-matched carotid isodose analysis
• A prospective cohort study on stereotactic radiotherapy in the management of dural recurrence of olfactory neuroblastoma
• Associations Between Radiation Oncologist Demographic Factors and Segmentation Similarity Benchmarks: Insights From a Crowd-Sourced Challenge Using Bayesian Estimation
• Evaluating observer reliability and diagnostic accuracy of CT-LEFAT criteria for post-treatment head and neck lymphedema: A prospective blinded comparative analysis
• Detection of Alteration in Carotid Artery Volumetry Using Standard-of-care Computed Tomography Surveillance Scans Following Unilateral Radiation Therapy for Early-stage Tonsillar Squamous Cell Carcinoma Survivors: A Cross-Sectional Internally-Matched Carotid Isodose Analysis
• Clinical acceptability of automatically generated lymph node levels and structures of deglutition and mastication for head and neck radiation therapy
• Study protocol for the ROLEX-DUO randomised placebo-controlled trial: ROmosozumab Loaded with EXercise – DUal effects on bone and muscle in postmenopausal Osteoporosis and Osteopenia
• Longitudinal changes in the carotid arteries of head and neck cancer patients following radiation therapy: Results from a prospective serial imaging biomarker characterization study
• Off-Protocol Radiation Therapy in Phase 3 Metastatic Solid Tumor Trials
• Revisiting Feeding Tube Utilization in Oropharynx Cancer: 6‐Year Prospective Registry Analysis
• MR-guided stereotactic radiation therapy for head and neck cancers
• Prognostic value of tumor volume doubling time in lung-metastatic adenoid cystic carcinoma
• PRO-Based Stratification Improves Model Prediction for Toxicity and Survival of Head and Neck Cancer Patients
• Early Imaging Identification of Osteoradionecrosis and Classification Using the Novel ClinRad System: Results from A Retrospective Observational Cohort
• A Visualization and Radiation Treatment Plan Quality Scoring Method for Triage in a Population-Based Context
• Exploring Quantitative MRI Biomarkers of Head and Neck Post‐Radiation Lymphedema and Fibrosis: Post Hoc Analysis of a Prospective Trial
• Technical Development and In Silico Implementation of SyntheticMR in Head and Neck Adaptive Radiation Therapy: A Prospective R-IDEAL Stage 0/1 Technology Development Report
• Neurocognitive Functioning of Patients with Sinonasal and Nasopharyngeal Cancers Treated With Multimodality Therapy
• Evaluating Observer Reliability and Diagnostic Accuracy of CT-LEFAT Criteria for Post-Treatment Head and Neck Lymphedema: A Prospective Blinded Comparative Analysis of Oncologist Human Inter-Rater Performance
• Cluster-Based Toxicity Estimation of Osteoradionecrosis Via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification
• Optimal timing of organs-at-risk-sparing adaptive radiation therapy for head-and-neck cancer under re-planning resource constraints
• Computed tomography radiomics-based cross-sectional detection of mandibular osteoradionecrosis in head and neck cancer survivors
• Computed tomography radiomics-based cross-sectional detection of mandibular osteoradionecrosis in head and neck cancer survivors
• Development and Standardization of an Osteoradionecrosis Classification System in Head and Neck Cancer: Implementation of a Risk-Based Model
• Dysphagia and shortness-of-breath as markers for treatment failure and survival in oropharyngeal cancer after radiation
• 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
• E pluribus unum: prospective acceptability benchmarking from the Contouring Collaborative for Consensus in Radiation Oncology crowdsourced initiative for multiobserver segmentation
• Determining The Role Of Radiation Oncologist Demographic Factors On Segmentation Quality: Insights From A Crowd-Sourced Challenge Using Bayesian Estimation
• Prospective evaluation of in vivo and phantom repeatability and reproducibility of diffusion-weighted MRI sequences on 1.5 T MRI-linear accelerator (MR-Linac) and MR simulator devices for head and neck cancers
• A transformer-based hierarchical registration framework for multimodality deformable image registration
• Large scale crowdsourced radiotherapy segmentations across a variety of cancer anatomic sites
• Temporal characterization of acute pain and toxicity kinetics during radiation therapy for head and neck cancer. A retrospective study
• Multi-organ spatial stratification of 3-D dose distributions improves risk prediction of long-term self-reported severe symptoms in oropharyngeal cancer patients receiving radiotherapy: development of a pre-treatment decision support tool
• Investigation of autosegmentation techniques on T2‐weighted MRI for off‐line dose reconstruction in MR‐linac workflow for head and neck cancers
• Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipeline
• Operational Ontology for Oncology (O3): A Professional Society-Based, Multistakeholder, Consensus-Driven Informatics Standard Supporting Clinical and Research Use of Real-World Data From Patients Treated for Cancer
• Target Contour Testing/Instructional Computer Software (TaCTICS): A Novel Training and Evaluation Platform for Radiotherapy Target Delineation.
• Artificial Intelligence and Radiomics in Head and Neck Cancer Care: Opportunities, Mechanics, and Challenges.
• A cost-effectiveness analysis of adjuvant chemoradiotherapy for resected gastric cancer.
• Conditional Survival in Rectal Cancer: A SEER Database Analysis.
• Feature selection for support vector regression using a genetic algorithm.
• A pilot prospective feasibility study of organ-at-risk definition using Target Contour Testing/Instructional Computer Software (TaCTICS), a training and evaluation platform for radiotherapy target delineation.
• Image-guided intensity-modulated radiotherapy for pancreatic carcinoma.
• Real-world applications of deep convolutional neural networks in diagnostic cancer imaging
• Feasibility of Mobile and Sensor Technology for Remote Monitoring in Cancer Care and Prevention.
• Stereotactic radiosurgery for trigeminal pain secondary to recurrent malignant skull base tumors.
• 16461 Comparison of voxel intensity standardization methods in head and neck cancer magnetic resonance imaging
• Hepatitis C donor positive to recipient negative solid organ transplants: Early direct acting antiviral insurance approval rates with and without documented viremia
• Conditional Survival and the Choice of Conditioning Set for Patients With Colon Cancer: An Analysis of NSABP Trials C-03 Through C-07
• Early detection of mandible osteoradionecrosis risk in a high comorbidity veteran population
• Evaluating the Effect of Right-Censored End Point Transformation for Radiomic Feature Selection of Data From Patients With Oropharyngeal Cancer
• Quantitative assessment of target delineation variability for thymic cancers: agreement evaluation of a prospective segmentation challenge
• Q-Space MRI Reveals Macroscopic Patterns of Tumor Architecture in VIVO
• RTHP-03. PROGNOSTIC IMPACT OF TIMING BETWEEN SURGERY AND RADIOTHERAPY (RT) IN PATIENTS WITH GLIOBLASTOMA (GBM)
• Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer
• Dose accumulation for MR-guided adaptive radiotherapy: From practical considerations to state-of-the-art clinical implementation
• Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT
• Design and fabrication of a 3D–printed oral stent for head and neck radiotherapy from routine diagnostic imaging
• Standard fractionation intensity modulated radiation therapy (IMRT) of primary and recurrent glioblastoma multiforme
• Radiotherapy for Thymic Neoplasms
• Quality assurance assessment of intra‐acquisition diffusion‐weighted and T2‐weighted magnetic resonance imaging registration and contour propagation for head and neck cancer radiotherapy
• Predicting late symptoms of head and neck cancer treatment using LSTM and patient reported outcomes
• Muscle and adipose tissue segmentations at the third cervical vertebral level in patients with head and neck cancer
• Cluster-Based Toxicity Estimation of Osteoradionecrosis via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification
• Incidence of Primary End Point Changes Among Active Cancer Phase 3 Randomized Clinical Trials
• Improving Prediction of Late Symptoms using LSTM and Patient-reported Outcomes for Head and Neck Cancer Patients
• Segmentation stability of human head and neck cancer medical images for radiotherapy applications under de-identification conditions: Benchmarking data sharing and artificial intelligence use-cases
• Cancer Informatics for Cancer Centers: Sharing Ideas on How to Build an Artificial Intelligence–Ready Informatics Ecosystem for Radiation Oncology
• Longitudinal diffusion and volumetric kinetics of head and neck cancer magnetic resonance on a 1.5T MR-Linear accelerator hybrid system: A prospective R-IDEAL Stage 2a imaging biomarker characterization/ pre-qualification study
• Primary tumor site for localized Merkel cell carcinoma drives different management strategies without impacting oncologic outcomes
• Prospective validation of diffusion-weighted MRI as a biomarker of tumor response and oncologic outcomes in head and neck cancer: Results from an observational biomarker pre-qualification study
• Longitudinal diffusion and volumetric kinetics of head and neck cancer magnetic resonance on a 1.5 T MR-linear accelerator hybrid system: A prospective R-IDEAL stage 2a imaging biomarker characterization/pre-qualification study
• Deep Learning–Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans
• Generative Modeling for Interpretable Anomaly Detection in Medical Imaging: Applications in Failure Detection and Data Curation
• Evaluating Dimensionality Reduction for Patient-Reported Outcome–Based Survival Modeling in Patients With Head and Neck Cancer