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Results for "important regions": 14 found

An Automated Tool for the Categorization of a Clinical Database By Anatomic Region for Big Data Applications

Authors: Yasin Abdulkadir, Justin Hink, James M. Lamb, Jack Neylon

Affiliation: Department of Radiation Oncology, University of California, Los Angeles

Abstract Preview: Purpose: Curation remains a significant barrier to the use of β€˜big data’ radiotherapy planning databases of 100,000 patients or more. Anatomic site of treatment is an important stratification for almo...

Assessing the Impact of Weighting Dose Volume Histograms By Variable Relative Biological Effectiveness for Radiation-Induced Lymphopenia Risk Prediction

Authors: Yan Chu, Madison Emily Grayson, Radhe Mohan, Pablo P. Yepes

Affiliation: UT Health Science Center at Houston, Rice University, The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose: Radiation-induced lymphopenia (RIL) is a common adverse effect of radiation therapy, negatively impacting overall survival and anti-PD1 immunotherapy efficacy. Our lab previously developed a ...

Cerebellar Mutism Syndrome Prediction with 3D Residual Convolutional Neural Network

Authors: Sahaja Acharya, Matthew Ladra, Junghoon Lee, Lina Mekki, Bohua Wan

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

Abstract Preview: Purpose: Cerebellar mutism syndrome (CMS) is the most frequently observed complication in children undergoing surgical resection of posterior fossa tumors. Previous work explored lesion to symptom map...

Deep Learning-Based Denoising for Template Matching in Real-Time Tumor Tracking Using Kv Scattered X-Ray Imaging

Authors: Weikang Ai, Xiaoyu Hu, Xun Jia, Kai Yang, Yuncheng Zhong

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Massachusetts General Hospital, Department of Biomedical Engineering, Johns Hopkins University, Johns Hopkins University

Abstract Preview: Purpose: Real-time tumor tracking is critically important for respiratory motion management for lung cancer radiotherapy. A previously proposed application of a photon counting detector involves measu...

Energy Dependency of Biological Effects from Radiation Scattering Around Medical Implants in Particle Therapy

Authors: John Ford, Yu Fujiwara, Isao Murata, Zavier Ndum Ndum

Affiliation: Osaka University, Texas A&M University

Abstract Preview: Purpose: This study investigates how particle energy affects radiation quality and biological effectiveness with the inclusion of medical implants. Our research group used microdosimetric analysis to ...

Establishing Radiotherapy in Malawi through an International Medical Physics Collaboration

Authors: Ruth Afanador, Daniela Branco, John M Bryant, John Campbell, Clement Chaphuka, Samuel A. Einstein, David B. Flint, Jeffrey R. Kemp, Mussa Kumwembe, Daniel J Mollura, Joseph Weygand

Affiliation: RAD-AID International, The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology and Applied Science, Dartmouth Health, UNC Health, Malawi National Cancer Center, Kamuzu Central Hospital, Penn State College of Medicine, Sutter Health, New York University, University of California San Diego / California Protons, Department of Radiation Oncology, Moffitt Cancer Center

Abstract Preview: Purpose: Malawi, a landlocked country in southeastern Africa with a population of over 20 million, ranks among the world’s least-developed nations and has the fourth-lowest gross domestic product per ...

Evaluation of Potential Dosimetric Risks from Intra-Fractional Motion in Single-Isocenter Stereotactic Radiosurgery

Authors: Brian D. Casto, Mathew Y Kang, Lichung Ku, Samuel J Wang, Joseph B. Ying, Walker Ray Zimmerman

Affiliation: Salem Health Cancer Center, Salem Health

Abstract Preview: Purpose: Varian HyperArc is an advanced radiotherapy module designed to efficiently deliver high-quality multi-target stereotactic radiosurgery (SRS) treatment plans on Varian linacs. However, the int...

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...

Finding the Best Match of 4D-CT Phases to Delineate Volumes for Bgrt

Authors: Resat Aydin, Joseph Barbiere, Brett Lewis, Roland Teboh

Affiliation: HUMC, Hackensack University Medical Center

Abstract Preview: Purpose:
Accurately compensating for respiratory-induced tumor motion is critical in BgRT, where precise delineation of volumes ensures effective dose delivery. We propose an integrated approach th...

Knowledge-Informed Deep Learning for Accurate and Interpretable Extracapsular Extension Detection in Head and Neck Squamous Cell Carcinoma

Authors: William N. Duggar, Amirhossein Eskorouchi, Haifeng Wang

Affiliation: Mississippi State University, University of Mississippi Medical Center

Abstract Preview: Purpose:
Extracapsular extension (ECE) in lymph nodes represents a critical prognostic factor in head and neck squamous cell carcinoma (HNSCC), bearing important implications for staging, treatment...

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...

Multi-Vendor Validation of a Deep Learning-Based Synthetic CT Generation Model for MR-Only Radiotherapy Planning in the Pelvis

Authors: Gregory Bolard, Rabten Datsang, Sarah Ghandour, Timo Kiljunen, Pauliina Paavilainen, Sami Suilamo, Katlin Tiigi

Affiliation: Turku University Hospital, Virginia Commonwealth University, MVision AI, North Estonia Medical Centre, Docrates Cancer Center, Hopital Riviera-Chablais

Abstract Preview: Purpose: To verify the performance of a vendor-neutral deep learning model for synthetic CT generation from T2-weighted and balanced steady-state MR sequences to support both MR-only simulation and MR...

Radiopharmaceutical-Free Assessment of Tumor Vasculature Condition in Particle Therapy By Means of Range-Verification PET: A Feasibility Rat Study

Authors: Go Akamatsu, Han Gyu Kang, Chie Seki, Hitomi Sudo, Hideaki Tashima, Chie Toramatsu, Hidekatsu Wakizaka, Iwao Yamaya, Taiga Yamaya

Affiliation: National Institutes for Quantum Science and Technology

Abstract Preview: Purpose:
Tumor oxygen status, which provides important information to optimize particle therapy, may constantly change during a treatment period of several weeks. However, it is impractical to perf...

The Effect of 2D Antiscatter Grid-Based CBCT on Tissue Visualization in the Prostate Region: An Observer Study on Tissue Delineation Accuracy

Authors: Cem Altunbas, Adam Avant, Farhang Bayat, Roy Bliley, Ian Boor, Brian Kavanagh, Uttam Pyakurel, Tyler Robin, Ryan Sabounchi

Affiliation: Department of Radiation Oncology, University of Colorado School of Medicine, Taussig Cancer Center, Cleveland Clinic

Abstract Preview: Purpose: Improved soft tissue visualization plays an important role in target localization and treatment plan adaptation in CBCT-guided radiotherapy. In this work, a novel CBCT approach, 2D antiscatte...