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Results for "brain tumors": 76 found

3D Bioprinted Brain Cancer Constructs for Experimental Synchrotron Radiotherapy

Authors: John Paul Ortiz Bustillo, Elette Engels, Elrick T. Inocencio, Michael Lerch, Julia Rebecca D Posadas, Anatoly Rosenfeld, Kiarn Roughley, Moeava Tehei, Gordon Wallace, Danielle Warren, Vincent de Rover

Affiliation: Centre for Medical Radiation Physics, University of Wollongong Australia, Department of Radiology, University of the Philippines- Philippine General Hospital, Intelligent Polymer Research Institute, ARC Centre of Excellence for Electromaterials Science, AIIM Facility, University of Wollongong Australia, Centre for Medical Radiation Physics, University of Wollongong, Intelligent Polymer Research Institute, ARC Centre of Excellence for Electromaterials Science, AIIM Facility, University of Wollongong, University of the Philippines Manila; Centre for Medical Radiation Physics, University of Wollongong Australia

Abstract Preview: Purpose: To compare the biological response through cell viability assay and fluorescence imaging of 3D bioprinted brain cancer (glioma) constructs relative to 2D monolayer and 3D spheroid culture for...

A Clinically Aligned Embedding Model for Glioma Prognostication Via Radiology-Pathology Report Matching

Authors: Steve Braunstein, Yannet Interian, Hui Lin, Bo Liu, Janine Lupo, Olivier Morin, Benedict Neo

Affiliation: Radiation Oncology, University of California San Francisco, Graduate Program in Bioengineering, University of California San Francisco-UC Berkeley, Department of Radiation Oncology, University of California San Francisco, Department of Data Science, University of San Francisco, University of San Francisco

Abstract Preview: Purpose: Large Language Models (LLMs) demonstrate strong general text comprehension but remain limited in oncology due to insufficient contextual alignment. We pilot embedding alignment through radiol...

A Combination of Radiomics and Dosiomics for Gross Tumor Volume Regression in Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy (PULSAR)

Authors: Hao Peng, Yajun Yu

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose: Personalized ultra-fractionated stereotactic adaptive radiotherapy (PULSAR) is a novel ablative radiation dosing scheme developed by our institution. This study aims to establish a regression...

A Dosimetric Study of Range-Compensated Proton Arc Therapy

Authors: Alonso N. Gutierrez, Daniel E. Hyer, Blake R. Smith

Affiliation: Miami Cancer Institute, Baptist Health South Florida, Iowa Health Care, University of Iowa

Abstract Preview: Purpose: To perform a feasibility study of optimizing and producing a compact range compensator to deliver single-energy pencil beam scanning (PBS) proton arc therapy treatments. Omitting energy chang...

A Dosimetric Study of Small-Field Apertured Spot-Scanning Proton Stereotactic Radiosurgery for Pediatric Brain Tumors

Authors: Chin-Cheng Chen, Chia-Ho Hua, Christopher J. Kutyreff, Thomas E. Merchant

Affiliation: St. Jude Children's Research Hospital

Abstract Preview: Purpose: A dosimetric study was conducted to determine the optimal field parameters for a commercially available small-field applicator (SFA) used in spot-scanning proton stereotactic radiosurgery, pa...

A Novel Margin-Based Focal Distance Loss for Lesion Segmentation in Medical Imaging

Authors: Weiguo Lu, Hua-Chieh Shao, Guoping Xu, You Zhang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose:
Neural network-based lesion segmentation remains a significant challenge due to the low contrast between lesions and surrounding tissues (high ambiguity) and the variability of lesion shap...

A Retrospective Assessment of Proton Radiation Response in Brain Tumor Patients Using Diffusion-Weighted MR Imaging

Authors: Liu Hong, Wen C. Hsi, Faraz Kalantari, Romy Megahed, Ganesh Narayanasamy, Maida Ranjbar, Pouya Sabouri, Zhong Su

Affiliation: University of Arkansas for Medical Sciences, Department of Radiation Oncology, University of Arkansas for Medical Sciences (UAMS)

Abstract Preview: Purpose: Quantitative apparent diffusion coefficients (ADC) in diffusion-weighted MRI (dMRI) reflect water diffusivity and thus provide tissue cellular density information. Functional diffusion mappin...

A Vision-Language Model for T1-Contrast Enhanced MRI Generation for Glioma Patients

Authors: Zachary Buchwald, Zach Eidex, Richard L.J. Qiu, Justin R. Roper, Mojtaba Safari, Hui-Kuo Shu, Xiaofeng Yang, David Yu

Affiliation: Emory University and Winship Cancer Institute, Emory University, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: Gadolinium-based contrast agents (GBCA) are commonly used for patients with gliomas to delineate and characterize the brain tumors using T1-weighted (T1W) MRI. However, there is a rising conc...

AI-Assisted Cellular and Organoid Analysis for Lenalidomide-Based Radioimmunotherapy Against Glioblastoma

Authors: ISAAC Amoah, Jackie Austin, Charlotte Block, Kaylee Brilz, Dylan Bui, Andrew E. Ekpenyong, Jayce Hughes, Pralhad Itani, Natasha Ratnapradipa, Sara Strom, Jacob Woolf

Affiliation: Creighton University

Abstract Preview: Purpose:
Glioblastoma (GBM) is the most common and aggressive primary brain tumor in adults, with a median survival of approximately 15 months despite the current standard of care, which includes s...

An Advanced Automated Pipeline for Brain Tumor Segmentation on MRI Images in Gamma Knife Radiotherapy

Authors: Zachery Colbert, Matthew Foote, Michael Huo, Mark Pinkham, Prabhakar Ramachandran, Mihir Shanker

Affiliation: Radiation Oncology, Princess Alexandra Hospital, Ipswich Road, Princess Alexandra Hospital

Abstract Preview: Purpose: The study aimed to develop and implement deep learning-based autosegmentation models for the autosegmentation of four key tumor types: brain metastasis, pituitary adenoma, vestibular schwanno...

An Optimal-Mass-Transport-Based Mathematical Model Applied to Brain DCE-MRI to Differentiate Brain Metastases Recurrence from Radiation Necrosis

Authors: Aditya P. Apte, Xinan Chen, Joseph O. Deasy, Ramesh Paudyal, Kyung Peck, Amita Shukla-Dave, Nathaniel Swinburne, Robert J. Young

Affiliation: Department of Radiology, Memorial Sloan Kettering Cancer Center, Department of Medical Physics, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: We apply our novel formulation of unbalanced-regularized-optimal-mass-transport (urOMT) theory to brain DCE-MRI data to quantify and visualize the behaviors of fluid flows in post-treatment f...

Application of the Lymphodose Framework to Brain Tumors: Unveiling the Prognostic Power of Circulating Lymphocyte Doses

Authors: Sophie Bockel, Eric Deutsch, Frederic Dhermain, Ibrahima Diallo, Anh Thu Le, Elaine Limkin, Pauline Maury, Charlotte Robert, Killian Sambourg, Camilla Satragno, Cristina Veres, François de Kermenguy

Affiliation: Gustave Roussy, Département de radiothérapie, Université Paris-Saclay, Gustave Roussy, Inserm U1030, Radiothérapie Moléculaire et Innovation Thérapeutique

Abstract Preview: Purpose:
To study the correlation between the dose to circulating lymphocytes as evaluated by the LymphoDose framework and the incidence of severe radiation-induced lymphopenia (sRIL) in patients t...

Assessing the Risks of Synthetic MRI Data in Deep Learning: A Study on U-Net Segmentation Accuracy

Authors: Chuangxin Chu, Haotian Huang, Tianhao Li, Jingyu Lu, Zhenyu Yang, Fang-Fang Yin, Tianyu Zeng, Chulong Zhang, Yujia Zheng

Affiliation: The Hong Kong Polytechnic University, Nanyang Technological University, Australian National University, Medical Physics Graduate Program, Duke Kunshan University, North China University of Technology, Duke Kunshan University

Abstract Preview: Purpose: Deep learning segmentation models, such as U-Net, rely on high-quality image-segmentation pairs for accurate predictions. However, the recent increasing use of generative networks for creatin...

Automated Full-Body Tumor Segmentation from PET/CT Images

Authors: Austin Castelo, Xinru Chen, Caroline Chung, Laurence Edward Court, Jaganathan A Parameshwaran, Zhan Xu, Jinzhong Yang, Yao Zhao

Affiliation: The University of Texas MD Anderson Cancer Center, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Department of Imaging Physics, The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose:
To develop a deep learning-based segmentation model to automatically delineate tumors from full-body PET/CT images.
Methods:
PET/CT image pairs of 91 patients were collected for this...

Automated Treatment Planning for Linac-Based Stereotactic Radiosurgery of Intraocular Malignancies Via Hyperarc Knowledge-Based Planning

Authors: Chase Cochran, Shane McCarthy, Damodar Pokhrel, William St Clair

Affiliation: University of Kentucky, Department of Radiation Medicine, University of Kentucky, Radiation Medicine

Abstract Preview: Purpose: Manually generating intraocular stereotactic radiosurgery (SRS) plans involves significant challenges, including lengthy planning times and inter-planner variability. Knowledge-based SRS plan...

Automatic Specific Absorption Rate (SAR) Prediction for Hyperthermia Treatment Planning (HTP) Using Deep Learning Method

Authors: Yankun Lang, Lei Ren, Dario B. Rodrigues

Affiliation: University of Maryland School of Medicine, Department of Radiation Oncology, University of Maryland School of Medicine

Abstract Preview: Purpose:
HTP of microwave (MW) phased-array systems determine MW antenna settings to maximize energy absorption (SAR in W/kg) in tumor. Conventional HTP algorithms calculate SAR based on electromag...

BEST IN PHYSICS MULTI-DISCIPLINARY: Building a Cross-Modality Model to Integrate Bio-Clinical Features, Anatomical MRI, and White-Matter Pathlength Mapping for Personalized Glioblastoma RT Planning

Authors: Steve Braunstein, Angela Jakary, Hui Lin, Bo Liu, Janine Lupo, Tiffany Ngan, Ke Sheng, Nate Tran

Affiliation: Radiation Oncology, University of California San Francisco, Graduate Program in Bioengineering, University of California San Francisco-UC Berkeley, Department of Radiation Oncology, University of California San Francisco, Department of Radiology and Biomedical Imaging, University of California San Francisco, Department of Radiation Oncology, University of California, San Francisco

Abstract Preview: Purpose: Current RT clinical target volumes (CTVs) for Glioblastoma (GBM) employ 2cm isotropic expansions of gross tumor volumes. However, studies showed patients still experience progression beyond t...

BEST IN PHYSICS MULTI-DISCIPLINARY: Quantitative MRI Oximetry: Combining EPR and OE-MRI for Volumetric Mapping of Hypoxia in Tumors

Authors: Victor B. Kassey, Maciej M. Kmiec, Periannan Kuppusamy, Sergey V. Petryakov, Conner Ubert

Affiliation: Dartmouth College

Abstract Preview: Purpose: Tumor hypoxia—a state of reduced oxygen supply—is well known to affect treatment response, particularly in radiotherapy and chemotherapy. Oxygen-enhanced magnetic resonance imaging (OE-MRI) u...

Beyond Imaging: Ultrasound as a Tool for Molecular Diagnosis of Brain Tumors

Authors: Hong Chen

Affiliation: Washington University in St. Louis

Abstract Preview: N/A...

Biologically Guided Deep Learning for MRI-Based Brain Metastasis Outcome Prediction after Stereotactic Radiosurgery

Authors: Evan Calabrese, Hangjie Ji, Kyle J. Lafata, Casey Y. Lee, Eugene Vaios, Chunhao Wang, Lana Wang, Zhenyu Yang, Jingtong Zhao

Affiliation: Duke University, Department of Radiation Oncology, Duke University, Duke Kunshan University, North Carolina State University

Abstract Preview: Purpose: To develop a biologically guided deep learning (DL) model for predicting brain metastasis(BM) local control outcomes following stereotactic radiosurgery (SRS). By integrating pre-SRS MR image...

Box-Prompt Zero-Shot Smart Segmentation in Radiation Oncology Using a SAM-Based Model: Smartsam

Authors: Kristen A. Duke, Samer Jabor, Neil A. Kirby, Parker New, Niko Papanikolaou, Arkajyoti Roy, Yuqing Xia

Affiliation: St. Mary's University, The University of Texas San Antonio, UT Health San Antonio

Abstract Preview: Purpose:
The Segment Anything Model (SAM) is a foundational box-prompt-based model for natural image segmentation. However, its applicability to zero-shot 3D medical image segmentation, particularl...

Brain Tumor Segmentation from Multi-Parametric MRI with Integrated Evidential Uncertainty Estimation

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

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

Abstract Preview: Purpose: Multi-parametric MRI (mpMRI) is widely used for deep learning (DL)-based automatic segmentation of brain tumors. While multi-contrast images concatenated as channels are typically input to ne...

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...

Cloud-Based Clonogenics Guide Nanoparticle-Mediated Chemo-Radiotherapy Against Brain Cancers

Authors: ISAAC Amoah, Jackie Austin, Charlotte Block, Kaylee Brilz, Dylan Bui, Andrew E. Ekpenyong, Jayce Hughes, Natasha Ratnapradipa, Sara Strom, Jacob Woolf

Affiliation: Creighton University

Abstract Preview: Purpose: Cancers of the brain and nervous system account for 1 in 100 cancer diagnoses in the US every year. Surgery, radiotherapy, and chemotherapy constitute the standard of care. For Glioblastoma (...

Commissioning of an AI-Assisted Tool for Enhancing Post-Radiosurgery Follow-up in Multiple Brain Metastases Patients

Authors: Rex Carden, Carlos E. Cardenas, Ho-hsin Rita Chang, John B Fiveash, Heinzman A. Katherine, Yogesh Kumar, Gaurav Nitin Rathi, Richard A. Popple, Kayla Lewis Steed

Affiliation: University of Alabama at Birmingham

Abstract Preview: Purpose: Brain metastases (BMs) often require multiple radiotherapy (RT) courses as new lesions appear. Comparing follow-up imaging with prior RT plans is time-intensive. We developed an AI tool that ...

Daily Adaptive Treatment Planning with Radixact for Head and Neck Cancer: A Dosimetric Evaluation

Authors: Yong Chen, Christina Henson, Yuchen Qiu, Marti Roper

Affiliation: University of Oklahoma HSC, University of Oklahoma Health Sciences Center, University of Oklahoma, University of Oklahoma Health Science Center

Abstract Preview: Purpose: Traditionally, Head and Neck cancer patients have one or two treatment replans through their treatment course, which fails to account for anatomical changes in position, weight loss, or tumor...

Deep Learning-Based Categorization of Brain Tumours Using Brain MRI : Advancing Precision Medicine in Neuroimaging

Authors: William F.B Igoniye, Belema Manuel, Christopher F. Njeh, O Ray-offor

Affiliation: Indiana University School of Medicine, Department of Radiation Oncology, Department of Radiology, University of Port Harcourt Teaching Hospital

Abstract Preview: Purpose: The accurate and efficient categorization of brain tumors is essential for effective treatment planning and improved patient outcomes. Current MRI-based diagnostic methods are time-intensive ...

Deep Learning-Based Ventricular Auto-Segmentation for Dosimetric Analysis in Intraventricular Tumor SRS

Authors: John Byun, Juan J Cardona, Steven D Chang, Cynthia Fu-Yu Chuang, Xuejun Gu, Yusuke Hori, Hao Jiang, Fred Lam, Lianli Liu, Weiguo Lu, David Park, Erqi Pollom, Elham Rahimy, Deyaaldeen Abu Reesh, Scott Soltys, Gregory Szalkowski, Lei Wang

Affiliation: Department of Radiation Oncology, Stanford University, Department of Neurosurgery, Stanford School of Medicine, Department of Neurosurgery, Stanford University, Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Department of Radiation Oncology, Stanford University School of Medicine

Abstract Preview: Purpose:
Intraventricular tumors pose significant challenges in neurosurgery due to their complex location. Therefore, brain SRS could be a better treatment option. At our institution, some patient...

Deep Learning-Driven Comparative Analysis of CNN-Based Architectures and High-Order Vision Mamba U-Net (H-vMUNet) for MRI-Based Brain Tumor Segmentation

Authors: Sang Hee Ahn, Nalee Kim, Do Hoon Lim

Affiliation: Samsung Medical Center, Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine

Abstract Preview: Purpose: MRI offers superior soft-tissue contrast, aiding tumor localization and segmentation in radiation therapy, which traditionally relies on oncologists' expertise. This study compares CNN-based ...

Design and Testing of a Portable Microwave Scanner for Imaging Soft Tissue and Tumors in Cancer Patients

Authors: Imad M. Ali, Nesreen Alsbou, Sakeeneh Majeed

Affiliation: University of Central Oklahoma, University of Oklahoma Health Sciences Center

Abstract Preview: Purpose: to design and assess a microwave imaging system equipped with multiple antennas for generating high-resolution 3D images of phantom models that simulate abdominal, thoracic, and brain tissues...

Developing Patient-Specific Functional Atlases with Inverse Distance Weighting of MR Images

Authors: Chibawanye I. Ene, Sherise D. Ferguson, Ping Hou, Vinodh A. Kumar, Ho-Ling Anthony Liu, Kyle R. Noll, Sujit S. Prabhu, Jian Ming Teo, Max Wintermark

Affiliation: Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Department of Neuroradiology, The University of Texas MD Anderson Cancer Center, Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Department of Imaging Physics, The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose:
Functional brain atlases are used to guide clinical functional MRI (fMRI) analyses. Imprecise assertions may introduce the ecological fallacy as atlases are reflective of the constituent c...

Development and Clinical Validation of Hyperarc Stereotactic Radiosurgery Method for Intraocular Tumors

Authors: Chase Cochran, Damodar Pokhrel, William St Clair

Affiliation: University of Kentucky, Department of Radiation Medicine, University of Kentucky, Radiation Medicine

Abstract Preview: Purpose: Currently, intraocular disease is primarily treated via COMS-plaques brachytherapy. Various stereotactic approaches via photons/proton beam have also been implemented (CyberKnife/GammaKnife/p...

Development and Clinical Validation of an Analytical Approach for 3D Positron Emitter Distribution Prediction in Carbon Ion Therapy

Authors: Julia Bauer, Tianxue Du, Katia Parodi, Marco Pinto, Thomas Tessonnier

Affiliation: Department of Medical Physics, Ludwig-Maximilians-UniversitĂ€t (LMU) MĂŒnchen, Heidelberg Ion Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Department of Medical Physics, Ludwig-Maximilians-UniversitĂ€t MĂŒnchen (LMU Munich)

Abstract Preview: Purpose:
Carbon ion therapy could benefit from range verification due to its sensitivity to range uncertainties. Positron emission tomography (PET) aids in this and comparing irradiation-induced PE...

Development and Experimental Validation of an in-House Proton Treatment Planning System with Energy Layer Optimization

Authors: Hao Gao, Yuting Lin, Jufri Setianegara, Aoxiang Wang, Peng Xiao, Qingguo Xie, Yanan Zhu

Affiliation: Department of Biomedical Engineering, Huazhong University of Science and Technology, Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Intensity-modulated proton therapy (IMPT) achieves uniform tumor dose distribution while sparing organs-at-risk (OAR) by optimizing spot weights across energy layers. Accelerating IMPT delive...

Development of Foundation Model for Analysis of Prostate Cancer with Mpmri

Authors: Ahmad Algohary, Adrian Breto, Quadre Emery, Radka Stoyanova

Affiliation: University of Miami, Department of Radiation Oncology, University of Miami

Abstract Preview: Purpose:
To develop a foundation model (U-Found) for multiparametric MRI (mpMRI) of the prostate by using self-supervised learning to prove the feasibility of a prostate-oriented foundation model u...

Dosimetric Evaluation of the Aldo Function for Multiple Brain Metastases in Automated Stereotactic Radiosurgery Treatment Planning

Authors: Hsiao-Mei Fu, Shih-Ming Hsu, Chia-Ting Lee, Shih-Hua Liu, Tsung-Yu Yen

Affiliation: National Yang Ming Chiao Tung University, Mackay Memorial Hospital

Abstract Preview: Purpose: The Automatic Lower Dose Objective (ALDO) is a unique function designed to achieve 98% relative coverage across all targets in automated SRS treatment planning (HyperArc planning). This study...

Efficient Robustness Optimization in Intensity Modulated Proton Therapy for Head and Neck Cancer Via Visual State Space Attention Generative Adversarial Networks (VSSA-GAN)

Authors: Nan Li, Yaoying Liu, Shouping Xu, Gaolong Zhang

Affiliation: Department of Radiation Oncology, School of Physics, Beihang University, School of physics, Beihang University, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

Abstract Preview: Purpose: In intensity-modulated proton therapy (IMPT) for head and neck cancer, CBCT registration ensures accurate setup, minimizing dose errors. Unlike IMRT, IMPT plans directly define tumor volumes ...

Enhancing Dose Conformity in Halcyon SRS Plans: A Novel Approach Using Optimized Collimator Angles and Sub-Arcs.

Authors: David Chighvinadze, Chieh-Wen Liu, Sugandima Weragoda, Ping Xia

Affiliation: Cleveland Clinic Sandusky, Cleveland Clinic

Abstract Preview: Purpose: To explore the feasibility of using coplanar beams with collimator angle optimization for brain SRS plans with Halcyon system.
Methods: This study used a dataset of 26 patients with 2-3 br...

Enhancing Dosimetric Conformity in Single-Energy Bragg Peak Flash Therapy Using Aperture-Based Techniqu

Authors: Chin-Cheng Chen, Chingyun Cheng, Longfei Diao, Benjamin Durkee, Minglei Kang, Haibo Lin, LeLe Liu, Yangguang Ma, Xuanqin Mou, YunTong Pei, Charles B. Simone, YuFei Wang, Xueqing Yan, Xingyi Zhao, Wang Zhengda

Affiliation: Peking University, St. Jude Children's Research Hospital, New York Proton Center, Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, School of Software Engineering, Xi’an Jiaotong University, School of information and communications engineering, Faculty of electronic and information engineering, Xi’an Jiaotong University, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: This study evaluates the effectiveness of apertures in improving lateral dose falloff in proton pencil beam scanning (PBS) single-energy Bragg peak (SEBP) FLASH radiotherapy (RT). The approac...

Enhancing T2-Weighted Brain MRI Resolution across Orientations Using AI-Based Volumetric Reconstruction

Authors: Mengqi Shen, Meghna Trivedi, Tony J.C. Wang, Andy (Yuanguang) Xu, Yading Yuan

Affiliation: Columbia University Medical Center, Dept of Med Hematology & Oncology, Data Science Institute at Columbia University, Columbia University Irving Medical Center, Department of Radiation Oncology, Columbia University Irving Medical Center

Abstract Preview: Purpose: T2-weighted (T2w) images are critical for identifying pathological changes due to their superior contrast in differentiating tissue types. However, they often lack detailed anatomical resolut...

Enhancing the Capability of Intrafractional Target Tracking for Prostate SBRT Via Tissue Decomposition Imaging

Authors: Sarah Burleson, Antonio L. Damato, Yabo Fu, Laura Happersett, Tianfang Li, Xiang Li, Himanshu Nagar, Pengpeng Zhang

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: An iodinated hydrogel perirectal spacer, injected between the prostate and rectum, reduces rectal high-dose exposure during prostate SBRT. We assessed the feasibility of tracking the spacer a...

Estimation of Brain Tumor’s Intra-Fraction Movement during Radiosurgery Using Fiducial Markers on the Skin Surface – a Simulation Study

Authors: Damien C. Mathew, Brandon Hai Nguyen, Satwik Pani, Yoichi Watanabe

Affiliation: Minnespolis Radiation Oncology, Department of Radiation Oncology, University of Minnesota Medical School, Washington University

Abstract Preview: Purpose: To formulate a computational algorithm to quantify the tumor movement from the motion data of landmarks on the brain surface. To estimate the magnitude of tumor movement when the head makes a...

Evaluating Supervised Learning Models for Binary Classification of Radiomic Data in Predicting Head and Neck Cancer Treatment Outcomes

Authors: Theodore Higgins Arsenault, Kyle O'Carroll, Christian Erik Petersen, Alex T. Price, Meiying Xing

Affiliation: University Hospitals Seidman Cancer Center

Abstract Preview: Purpose: To assess the performance of various supervised learning models’ ability to predict binary classification of radiomic data for head and neck (H&N) cancer treatment outcomes.
Methods: Using...

Evaluation of an Adaptive Denoising Diffusion Probabilistic Model (DDPM) for Fast MRI in Radiotherapy Planning of Pediatric Brain Tumors

Authors: Chia-Ho Hua, Jirapat Likitlersuang, Jinsoo Uh

Affiliation: St. Jude Children's Research Hospital

Abstract Preview: Purpose: AI-based fast MRI, which reconstructs images from undersampled k-space data, has not yet been tailored for RT planning. This study aims to evaluate the fast MRI performance of our recently pr...

Foundation Models with Balanced Data Sampling Enhance Auto-Segmentation for Cardiac Substructures

Authors: Chloe Min Seo Choi, Nikhil Mankuzhy, Aneesh Rangnekar, Andreas Rimner, Maria Thor, Harini Veeraraghavan, Abraham Wu

Affiliation: Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: Cardiac substructure irradiation predisposes patients for poor outcomes in thoracic radiation therapy. A deep learning model was developed to segment the cardiac substructures invariant to co...

Frameless and Maskless Stereotactic Radiosurgery: Evaluating a Novel Robotic Head Motion Compensation Device

Authors: Michelle Alonso-Basanta, Carl Denis, Wenbo Gu, Xinmin Liu, Ahmad Sakaamini, Rodney D. Wiersma

Affiliation: UCLA, University of Pennsylvania, CDR Systems

Abstract Preview: Purpose: Stereotactic radiosurgery (SRS) is a non-invasive technique used to treat functional abnormalities and small brain tumors. Traditional SRS relies on a rigidly fixed metal head ring, causing d...

Functional MRI Guided Partial Tumor Irradiation to Improve Tumor Control and Spare Tumor Microenvironment

Authors: Bingqi Guo, Ping Xia

Affiliation: Cleveland Clinic

Abstract Preview: Purpose:
Spatially fractionated radiation therapy (SFRT) delivers a “GRID” or “lattice” of high and low doses to tumors to increase tumor control, minimize normal tissue damage, and preserve the im...

Generating 3D Brain in Volume (BRAVO) Images Using Attention-Gated Conditional Gan (AGC-GAN)

Authors: Nan Li, Shouping Xu, Gaolong Zhang, Xuerong Zhang

Affiliation: Department of Radiation Oncology, HeBei YiZhou proton center, School of Physics, Beihang University, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

Abstract Preview: Purpose:
The 3D BRAVO sequence is an advanced magnetic resonance (MR) technique that allows for image reconstruction at any angle. It offers 1 mm gapless scanning and has a high signal-to-noise rat...

Generation of Virtual Lung PET Images from CT Data Via Deep Learning for Accelerated Tumor Detection and Preliminary Diagnosis

Authors: Pouya Azarbar, Nima Kasraie, Peyman Sheikhzadeh

Affiliation: UT Southwestern Medical Center, Shahid Beheshti University of Medical science, Imam Khomeini Hospital Complex,Tehran University of Medical Sciences

Abstract Preview: Purpose: Positron Emission Tomography (PET) is crucial for diagnosing and monitoring diseases due to its functional imaging capabilities. However, its high cost, significant radiation exposure, and li...

Gradient-Based Radiomics for Outcome Prediction and Decision-Making in Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy (PULSAR): A Preliminary Study

Authors: Michael Dohopolski, Jiaqi Liu, Hao Peng, Robert Timmerman, Zabi Wardak, Haozhao Zhang

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose:
This study introduces a gradient-based radiomics framework to enhance outcome prediction in Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy (PULSAR) for brain metastases...

Integrating Neuroanatomic Knowledge in Clinical Target Volumes for Glioma Patients Using Deep Learning

Authors: Ali Ajdari, Thomas R. Bortfeld, Christopher Bridge, Gregory Buti, Marcela Giovenco, Fredrik Lofman, Gregory C. Sharp, Helen A Shih, Tugba Yilmaz

Affiliation: Massachusetts General Hospital, RaySearch Laboratories, Department Of Radiation Oncology, Massachusetts General Hospital (MGH), Massachusetts General Hospital & Harvard Medical School, Massachusetts General Hospital and Harvard Medical School

Abstract Preview: Purpose: Defining radiation target volumes with accurate integration of the neuroanatomy is one of the major difficulties in designing glioma treatments. We developed a deep learning network for norma...

Investigating Gammatile Migration: Implications for Dosimetry and Clinical Outcomes

Authors: Wesley A. Belcher, Robert A. Corns, Jae Won Jung, Matthew S Peach, Swarup Sharma

Affiliation: The University of North Carolina at Chapel Hill, East Carolina University Brody School of Medicine

Abstract Preview: Purpose: GammaTiles are a novel intracranial brachytherapy approach designed to directly deliver radiation therapy to residual or recurrent brain tumors following resection. Despite their promising th...

Investigating the Flash Effect: Uncovering Brain Sparing and Cognitive Preservation across Varying Dose Rates in Whole-Brain Irradiation of in-Vivo Mouse Models

Authors: Denise Dunn, Scott R. Floyd, Tyler V. Kay, Anna Lynnette-Price, Eric L. Martin, Stepan Mikhailov, Taylor Nguyen, Mark Oldham, Victoria J. P. Radosova, Zachary J. Reitman, Ramona Rodriguiz, Andrew Thompson, William Wetsel, Seth Wilcox, Ying Wu

Affiliation: Duke University Mouse Behavior Core, Department of Physics, Duke University, Medical Physics Graduate Program, Duke University, Duke University Medical Physics Program, Duke University, Duke University Mouse Behavioral and Neuroendocrine Analysis Core Facility, Department of Radiation Oncology, Duke University Medical Center

Abstract Preview: Purpose: FLASH radiation therapy (RT) shows promise for reducing normal tissue damage, though its mechanisms remain unclear. Using an in-vivo model with the High Intensity Gamma-ray Source (HIGS) lina...

Investigation of the Correlation between Proton Linear Energy Transfer and Treatment Field Hinge Angles in Brain Tumor Patients Treated with Intensity Modulated Proton Therapy

Authors: Omer Gal, Alonso N. Gutierrez, Matthew D. Hall, Rupesh Kotecha, Minesh P. Mehta, Andrew J. Wroe, Jen Yu

Affiliation: Miami Cancer Institute, Baptist Health South Florida

Abstract Preview: Purpose: Linear energy transfer (LET) is directly related to relative-biological-effectiveness dose in proton therapy. This study aims to investigate how the treatment field hinge angles affect LET of...

Liver Tumor Auto-Contouring Using Recurrent Neural Networks on MRI-Linac for Adaptive Radiation Therapy

Authors: Yan Dai, Jie Deng, Christopher Kabat, Weiguo Lu, Ying Zhang, Hengrui Zhao

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose:
MRI-guided adaptive radiotherapy (MRgART) using MR-LINAC systems offers significant advantages for liver cancer, enabling superior tumor delineation and online plan adaptation. However, ma...

Maximum Conformity IMPT Planning with the Dynamic Collimation System

Authors: Wesley S. Culberson, Albert Du, Ryan T. Flynn, Alonso N. Gutierrez, Patrick M Hill, Daniel E. Hyer, Kaustubh A. Patwardhan, Blake R. Smith, Nhan Vu, Karsten K. Wake

Affiliation: University of Wisconsin, Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison, Miami Cancer Institute, Baptist Health South Florida, Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, University of Iowa, Iowa Health Care

Abstract Preview: Purpose:
To perform end-to-end treatment planning and delivery verification of energy-specific collimated treatments optimized to achieve the maximum obtainable high-dose conformity using the dynam...

Multi-Center Diffusion-Weighted MRI Validation for 0.35T MR-Linac: A Repeatability and Reproducibility Study

Authors: Tess Armstrong, Nema Bassiri, Alonso N. Gutierrez, Michael Kasper, Natalia Lutsik, Eric Mellon, Kathryn E. Mittauer, Siamak P. Nejad-Davarani, Shyam Pokharel, Suresh Rana, Hui Wang, Joseph Weygand

Affiliation: Department of Radiation Oncology and Applied Science, Dartmouth Health, Miami Cancer Institute, Baptist Health South Florida, ViewRay, Inc., Miami Cancer Institute, Lynn Cancer Institute, Boca Raton Regional Hospital, Baptist Health South Florida, Department of Radiation Oncology, University of Miami

Abstract Preview: Purpose: Radiation treatments on the MR-linac (MRL) enable daily acquisition of anatomical and physiological images for adaptive treatment planning. The apparent diffusion coefficient (ADC) estimated ...

Multidimensional Diffusion MRI Based Microstructural Heterogeneity Model on a 5T MR System

Authors: Jiayi Chen, Shaolei Li, Fuhua Yan, Yingli Yang, Jie Zhang

Affiliation: Department of Radiology, Ruijin Hospital, Institute for Medical Imaging Technology, Ruijin Hospital, Department of Radiology, Ruijin Hospital Shanghai Jiaotong University School of Medicine, Shanghai United imaging Healthcare Advanced Technology Research Institute, Department of Radiation Oncology, Ruijin Hospital

Abstract Preview: Purpose: The aim of this exploratory study is to investigate the feasibility of establishing a model to explore tissue component heterogeneity using multidimensional diffusion magnetic resonance imagi...

Multimodal Framework for Predicting Radiation-Induced Severe Acute Esophagitis in Esophageal Cancer

Authors: Yeona Cho, Chloe Min Seo Choi, Joseph O. Deasy, Jue Jiang, Jihun Kim, Jin Sung Kim, Nikhil Mankuzhy, Aneesh Rangnekar, Andreas Rimner, Maria Thor, Harini Veeraraghavan, Abraham Wu

Affiliation: University of Freibrug, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Department of Radiation Oncology, Gangnam Severance Hospital, Yonsei University College of Medicine, Memorial Sloan Kettering Cancer Center, Yonsei University

Abstract Preview: Purpose: We hypothesized that combining clinical, imaging, and radiotherapy dose-distribution features could increase predictive model accuracy in radiation-induced severe acute esophagitis (SAE) in e...

Neutron Dose Measurements with Multiple Dosimetry Techniques for Fetal Dose Estimation

Authors: Ahmet S. Ayan, Estelle Batin, Austin M. Faught, Peter E. Klages, Eunsin Lee, Collin Nappi, Mina Okello, Meghana Ramani, Zachary X. Richards, Parisa Sadeghi

Affiliation: Department of Radiation Oncology, The Ohio State University Wexner Medical Center, The Ohio State University Wexner Medical Center, Ohio State University, The Ohio State University

Abstract Preview: Purpose: Neutron doses are not modelled in proton treatment planning systems, so measurements were taken with two independent dosimeter types to quantify representative neutron fetal doses in pencil b...

Novel 915 MHz Annular Phased Array Applicator for Hyperthermia Treatment of Brain Lesions

Authors: Jason Ellsworth, Mark Mishra, Jason K Molitoris, Lei Ren, Dario B. Rodrigues, Paul Turner, Graeme Woodworth

Affiliation: University of Maryland School of Medicine, Department of Neurosurgery, University of Maryland School of Medicine, University of Maryland, Department of Radiation Oncology, University of Maryland School of Medicine, Pyrexar Medical

Abstract Preview: Purpose: Hyperthermia therapy (HT) involves increasing tumor temperatures to 40-44°C and is a potent radio- and chemosensitizer for treating solid tumors. Current clinical strategies to heat deep-seat...

Novel Use of 3D Printing for Pre-Operative Dose Estimation in the First Case of Gammatile Spine Implantation

Authors: Ali Al Asadi, Amanda Lynn DiCarlo, Anthony J. Doemer, Jessie Y. Huang, Ian Y Lee, Alexandra Moceri, Adam Robin, Lisa Scarpace, Mira Shah, Salim Siddiqui, Kundan S Thind

Affiliation: Henry Ford Innovations, Henry Ford Health

Abstract Preview: Purpose: For a patient who had two previous courses of external beam therapy for rectosigmoid adenocarcinoma and presented with painful, recurrent disease in the sacrum, this study describes the first...

Optimal Lattice Design for Spatially Fractionated Radiotherapy (SFRT) of Brain Metastasis in Gamma Knife (GK)

Authors: Brankica Andelic, Young-Bin Cho, Tara M. Gray, Andrew Robert Hadfield, Hakan Nordstrom

Affiliation: Elekta, Cleveland Clinic

Abstract Preview: Purpose: Spatially Fractionated Radiotherapy (SFRT) requires highly modulated dose distribution inside a tumor volume optimized using sets of planning structure of spheres in a lattice arrangement. To...

Pancrea-Seg-Net: A Semi-Supervised Deep Learning Framework for Pancreatic Tumor and Vessel Segmentation

Authors: Manju Liu, Ning Wen, Fuhua Yan, Yanzhao Yang, Zhenyu Yang, Haoran Zhang, Lei Zhang, Yajiao Zhang

Affiliation: Department of Radiology, Ruijin Hospital Shanghai Jiaotong University School of Medicine, Duke Kunshan University, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose: Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy where precise segmentation of tumors and adjacent vessels is crucial for effective treatment planning. This study dev...

Patterns of Nanoparticle Uptake for Patients with Multiple Brain Metastases: Similarities and Differences to Standard Gbca

Authors: Stephanie Bennett, Ross I. Berbeco, Ning Jin, Sonal Josan, Justin Michael Sheetz, Atchar Sudhyadhom

Affiliation: Department of Radiation & Cellular Oncology, University of Chicago, University of Massachusetts - Lowell, Siemens Healthineers, Brigham and Women’s Hospital and Dana Farber Cancer Institute, Harvard Medical School,, Brigham and Women's Hospital

Abstract Preview: Purpose: AGuIX, a Gadolinium-based theranostic radiosensitizing nanoparticle, is currently under clinical evaluation in Europe and the US. Using patients from the double-blinded NanoBrainMets trial, u...

Prediction of Metastasis-Free Survival in Patients with Prostate Adenocarcinoma Using Primary Tumor and Lymph Node Radiomics from Pre-Treatment PSMA PET/CT Scans.

Authors: Ozan Cem Guler, William Silva Mendes, Sangbo Oh, Cem Onal, Lei Ren, Apurva Singh, Phuoc Tran

Affiliation: University of Maryland School of Medicine, Baskent University Faculty of Medicine, Department of Radiation Oncology, Department of Radiation Oncology, University of Maryland School of Medicine

Abstract Preview: Purpose: To predict metastasis-free survival (MFS) for patients with prostate adenocarcinoma treated with androgen deprivation therapy and external radiotherapy using clinical factors and radiomics ex...

Python-Native Cerr for Cloud-Based Medical Image Analyses

Authors: Aditya P. Apte, Joseph O. Deasy, Sharif Elguindi, Aditi Iyer, Jue Jiang, Eve Marie LoCastro, Jung Hun Oh, Amita Shukla-Dave, Harini Veeraraghavan

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: We present port of popular Computational Environment for Radiological Research software platform to Python programming language to cater to cloud-based analyses.
Methods: The components of...

Realistic Modeling of Vasculature Flow and Oxygen Distribution in Normal Tissue and Glioblastoma

Authors: Yi Fan, Andrew Friberg, Costas Koumenis, Kevin Teo, Ioannis I Verginadis, Ledi Wang, Jennifer Wei Zou

Affiliation: Department of Radiation Oncology, University of Pennsylvania, University of Pennsylvania

Abstract Preview: Purpose: Glioblastomas (GBM) are aggressive and lethal malignancies characterized by their highly refractory nature, contributing to a five-year survival rate of approximately 7%. Physically, GBM exhi...

Rectangular Aperture-Based Beam Orientation Optimization for 4π Non-Coplanar Small Animal IMRT Delivery

Authors: Dante PI Capaldi, Lu Jiang, Qihui Lyu, Ke Sheng

Affiliation: Department of Radiation Oncology, University of California at San Francisco, Department of Radiation Oncology, University of California, San Francisco

Abstract Preview: Purpose:
Preclinical small animal studies help understand radiation-induced biological responses, toxicities, and mechanisms, facilitating the translation of new therapies to patient treatment. Int...

Retrospective Planning Study for the Evaluation of Biological Effectiveness of Spatially Fractionated Radiation Therapy with Gamma-Knife Radiosurgery on Brain Metastases

Authors: Brankica Andelic, Young-Bin Cho, Tara M. Gray, Bingqi Guo, Andrew Robert Hadfield, Hakan Nordstrom, Jacob Scott, John Suh, Nara Yoon

Affiliation: Adelphi University, Elekta, Cleveland Clinic

Abstract Preview: Purpose: To investigate the biological effect of Spatially Fractionated Radiation Therapy (SFRT) within Gamma-Knife (GK) using retrospective planning for brain metastases patients. This study presents...

Robust and Radiobiologically Accurate Dose Summation Strategy for Multiple Courses of Stereotactic Re-Irradiation of Metastatic Brain Cancer Patients with Previous WBRT

Authors: Garrett Russell Hamilton, Joshua Misa, Damodar Pokhrel, William St. Clair

Affiliation: University of Kentucky, Department of Radiation Medicine, University of Kentucky, Radiation Medicine

Abstract Preview: Purpose: Recurrent brain metastasis is very common, and patients who previously received whole-brain radiotherapy (WBRT) may receive an additional course(s) of stereotactic radiosurgery (SRS) to selec...

SRS Treatment Planning for Brain Metastases on Varian Truebeam and Elekta Gamma Knife Icon

Authors: Carl D. Elliston, Lawrence Koutcher, Michael J. Price, Adam C. Riegel, Michael B Sisti, Tony J.C. Wang, Andy (Yuanguang) Xu

Affiliation: Columbia University Irving Medical Center

Abstract Preview: Purpose: An inverse treatment planning software was recently introduced to Gamma Knife radiosurgery. The purpose of this study is to compare the plan quality of the Gamma Knife ”Lightning” with that o...

Spatially Aware Radiomics Integrating Anatomical Knowledge to Improve Lymph Node Malignancy Prediction in Head and Neck Cancer

Authors: Liyuan Chen, Sepeadeh Radpour, David Sher, Jing Wang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center

Abstract Preview: Purpose: Accurate lymph node malignancy prediction is pivotal in optimizing radiation treatment strategies for head and neck (HN) cancer patients. While conventional radiomics models leverage intensit...

Spherical Slicing and Convolutions for Accurate Glioma Tumor Segmentation Using Multi-Parametric MRI

Authors: Ke Lu, Chunhao Wang, Ruoxu Xia, Zhenyu Yang, Fang-Fang Yin, Chulong Zhang, Lei Zhang, Rihui Zhang, Jingtong Zhao, Haiming Zhu

Affiliation: Duke University, Duke Kunshan University, Medical Physics Graduate Program, Duke Kunshan University, The First People's Hospital of Kunshan

Abstract Preview: Purpose: The human brain’s spherical geometry offers unique opportunities for improving the segmentation of tiny and irregular anatomical structures. We hypothesize that representing the brain in sphe...

To Establish Local Diagnostic Reference Levels (DRLs) for Head and Neck Computed Tomography (CT) Exams in Abuja, Nigeria, and to Investigate the Performance of Brain Metastasis (BM) and Brain Lesion (BL) Segmentation Techniques Using U-Net Models.

Authors: Nuraddeen Nasiru Garba, Kalpana M Kanal, Abdullahi Mohammed, Rabiu Nasiru, Muhammad SHAFIU Shehu, Daniel Vergara, Joseph Everett Wishart

Affiliation: AHMADU BELLO UNIVERSITY, ZARIA, University of Washington

Abstract Preview: Purpose: To establish local Diagnostic Reference Levels (DRLs) for head and neck computed tomography (CT) exams in Abuja, Nigeria, and to investigate the performance of brain metastasis (BM) and brain...

Uncertainty Analysis of Hyperarc VMAT Plans for Stereotactic Radiosurgery Patients with Multiple Brain Metastases

Authors: Shifeng Chen, Yannick P. Poirier, Huijun Xu, Byong Yong Yi, Baoshe Zhang, Hong Zhang, Jinghao Zhou

Affiliation: University of Maryland School of Medicine, University of Maryland Shore Regional Cancer Center, Vanderbilt University Medical Center, Department of Radiation Oncology, University of Maryland School of Medicine, Capital Region Medical Center

Abstract Preview: Purpose: To thoroughly assess the resilience of HyperArc VMAT plans for multiple brain metastases (MBT) in relation to (i) high-definition MLC leaf positional inaccuracies and (ii) patient rotational ...