Search Submissions πŸ”Ž

Results for "Todd R. McNutt": 8 found

A Novel Cost-Effective Customizable 3D-Printed Thoracic Phantom for End-to-End Treatment Verification and Image Quality Assessment

Authors: Reza Farjam, Russell K Hales, Seth Jayawardane, Todd R. McNutt, Mohammad Rezaee, Ehsan Tajikmansoury, K. Ranh Voong

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Johns Hopkins University, Department of Biomedical Engineering, Johns Hopkins School of Medicine

Abstract Preview: Purpose: This study presents a novel cost-effective customizable 3D-printed phantom developed for end-to-end treatment verification and image-quality assessment for thoracic applications.
Methods: ...

Development of a Comprehensive Thoracic Re-Irradiation Database and Investigation of Time-Dependent Dose-Recovery Dynamics for Toxicity Modeling

Authors: Victoria Doss, Tsion Gebre, Rachel B. Ger, Esi A Hagan, Elaina Hales, Russell K Hales, Xun Jia, Heng Li, Dezhi Liu, Todd R. McNutt, Meti Negassa, Anas Obaideen, Tinker Trent, K. Ranh Voong, Cecilia FPM de Sousa

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Johns Hopkins University

Abstract Preview: Purpose: As cancer care advances, more patients require re-irradiation, yet evidence-based data is lacking. This study aimed to develop a thoracic re-irradiation database and explore time-dependent re...

Explainable Xerostomia Prediction with Decoupled High Resolution Class Activation Map

Authors: Junghoon Lee, Todd R. McNutt, Harry Quon, Bohua Wan

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Johns Hopkins University, Department of Computer Science, Johns Hopkins University

Abstract Preview: Purpose: Xerostomia is a common toxicity in head and neck cancer (HNC) radiotherapy (RT). A few deep learning (DL) models have been proposed to predict the chance of xerostomia 12 months after RT with...

Mechanistical Modeling of Radiation Response of Parotid in Head and Neck Cancer Radiotherapy

Authors: Rachel B. Ger, Xun Jia, Youfang Lai, Todd R. McNutt, Xingyi Zhao

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Johns Hopkins University

Abstract Preview: Purpose: Radiotherapy (RT) plays an essential role for head and neck (HN) cancer treatment but often results in xerostomia due to salivary gland damage. It is important to mechanistically model the ra...

Optimizing Quality Assurance CT Scan Frequency in Proton Therapy: Reducing Excess Dose While Maintaining Treatment Accuracy

Authors: Curtiland Deville, Rachel B. Ger, Heng Li, Todd R. McNutt

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Johns Hopkins University

Abstract Preview: Purpose: Proton therapy patients receive quality assurance CT scans (QACTs) during treatment to verify dosimetric accuracy and determine adaptive therapy needs as proton treatments are highly sensitiv...

Personalized and Automated Head & Neck Radiotherapy Planning with AI-Guided Optimization

Authors: Michael Bowers, Patrik Brodin, Madhur Garg, Rafi Kabarriti, William P. Martin, Todd R. McNutt, Julie Shade, Wolfgang A. TomΓ©, Christian Velten

Affiliation: Johns Hopkins University, Oncospace, Inc., Montefiore Medical Center

Abstract Preview: Purpose: Development of an automated planning tool utilizing AI generated patient-specific dose-volume histogram predictions for rapid H&N plan generation.
Methods: Planning best-practices were dev...

Safety of Off-Axis Treatment for Selection of Optimal Beam Angles in SBRT of the Posteriorly Located Lung Lesions

Authors: Reza Farjam, Russell K Hales, Todd R. McNutt, Mohammad Rezaee, Ehsan Tajikmansoury, K. Ranh Voong

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Johns Hopkins University

Abstract Preview: Purpose: Optimal beam angles and off-axis isocenter selection are important to achieve high quality plan and collision-free delivery in stereotactic body radiotherapy (SBRT) of the posteriorly located...

Streamlined Proton Registry Interface for Patient Subtyping and Assessment Integration

Authors: Curtiland Deville, Rachel B. Ger, Elaina Hales, Heng Li, Todd R. McNutt

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Johns Hopkins University

Abstract Preview: Purpose: Lack of specialized coding knowledge limits the use of data from large SQL repositories. We aimed to develop intuitive user interfaces for a registry that allows users to visualize the relati...