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Results for "survival curves": 17 found

A New Way to Assess Dynamic Response of Centrally Located Lung Cancer (CLLC) to SBRT and Conventional Radiation Therapy (CRT)

Authors: Nina Burbure, Tawfik Giaddui, Shidong Li, Curtis Miyamoto, Jeremy Price, Bin Wang

Affiliation: FCCC at Temple University Hospital, Dept. of Radiation Oncology, Fox Chase Cancer Center at Temple University Hospital

Abstract Preview: Purpose: Higher rates of local failures and toxicities challenged radiation therapy of centrally located lung cancer (CLLC). We assessed the treatment response by measuring the early changes of PET+ n...

A Novel Method for Modeling the Rbe of Clinical Proton Beams

Authors: Anthony Hong Cheol Lim, Alexander R ODell, Alexander Stanforth, Chris C. Wang

Affiliation: Georgia Institute of Technology, Emory University

Abstract Preview: Purpose: The purpose of this work is to investigate the variation of proton RBE, with respect to depth, in the context of clinical SOBP. Employing a novel approach, this study conducts a Monte Carlo s...

An Image Representation of Radiomics Data for Enhanced Deep Radiomics Analysis with Consideration of Feature Interactions

Authors: Xiaolong Fu, Runping Hou, Md Tauhidul Islam, Lei Xing

Affiliation: Department of Radiation Oncology, Stanford University, Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine

Abstract Preview: Purpose: To introduce a novel schematic image representation of radiomics data, called OmicsMap, for high-performance deep radiomics analysis. OmicsMap transforms tabular radiomics data into an image ...

Automated Diagnosis of Pancreatic Cancer Using Both Radiomics and 3D-Convolutional Neural Network

Authors: Beth Bradshaw Ghavidel, Benyamin Khajetash, Yang Lei, Meysam Tavakoli

Affiliation: Icahn School of Medicine at Mount Sinai, Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Emory University, Department of Radiation Oncology, Emory University

Abstract Preview: Purpose: Pancreatic cancer is among the most aggressive types of cancer, with a five-year survival rate of approximately 10%. Recent studies show that radiomics and deep learning (DL)-based methods ar...

Clonogenic Assays for Three Prostate Cancer Cell Lines with Varying Levels of DNA Repair Mutations Treated with LET-Optimized Pencil Beam Scanning Protons and Evaluation of Dose Rate Effect

Authors: Mark E Artz, Jiyeon Park, Lori Rice, Mohammad Saki, Sanjeev Shukla, Michael Vieceli

Affiliation: University of Florida Health Proton Therapy Institute, Department of Radiation Oncology, University of Florida College of Medicine, UF Health Proton Therapy Institute, Department of Urology, University of Florida College of Medicine

Abstract Preview: Purpose: To investigate how varying levels of DNA repair mutations affect the LET sensitivity of prostate cancer cells.
Methods: The prostate cancer cell lines Du145 (low DNA repair mutations), PC3...

Efficient Monte Carlo Simulation of Radiation-Induced Double Strand Break Production and Repair Kinetics

Authors: Zakaria Aboulbanine, Greeshma A. Agasthya, Paul Inman, Anuj J. Kapadia, Anthony Hong Cheol Lim, Jayasai Ram Rajagopal, Chris C. Wang

Affiliation: Oak Ridge National Laboratory, Georgia Institute of Technology

Abstract Preview: Purpose: Radiobiological simulation via TOPAS-nBio requires significant computational resources and time to provide meaningful results. This study aims to decrease simulation time and computational re...

Enhanced Predictive Model for Toxicity and 3-Year Survival in HCC Patients Using Learning Health System Infrastructure and AI-Driven Statistical Profiling

Authors: Ameer Elaimy, Theodore Lawrence, Charles S. Mayo, Seyyedeh Azar Oliaei Motlagh, Benjamin S. Rosen

Affiliation: University of Michigan

Abstract Preview: Purpose: To analyze the impact of clinical features on short-term survival, toxicity, and poor outcomes in HCC patients treated with SBRT,using automated data aggregation and enhanced algorithms with ...

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 modelsโ€™ ability to predict binary classification of radiomic data for head and neck (H&N) cancer treatment outcomes.
Methods: Using...

Exploring NSCLC Microenvironments: Multi-Score Survival Models Integrationg Radiomics-Based Regional Imaging Features and Genomics

Authors: Nobuki Imano, Daisuke Kawahara, Misato Kishi, Yuji Murakami

Affiliation: Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Graduate School of Biomedical and Health Sciences, Hiroshima University

Abstract Preview: Purpose: This study aims to develop a comprehensive Multi-score by integrating Radiomics-score (Rad-score), Gene-score derived from gene expression levels, and tumor environment Rad-score (TE-Rad-scor...

Extending Chronorepair: A Computational Model of the Effects of Radiotherapy in Cells

Authors: Alejandro Bertolet, Jose Antonio Lopez-Valverde, Victor V. Onecha, Daniel Puerta

Affiliation: Dana Farber Cancer Institute/Brigham and Women's Hospital, Departamento de Fรญsica Atรณmica, Molecular y Nuclear, Universidad de Granada, Massachusetts General Hospital and Harvard Medical School

Abstract Preview: Purpose: Besides its superior dose conformity, proton therapy induces greater damage to tissue than conventional radiotherapies. This increased damage is usually quantified through the concept of rela...

Graph-Based Feature Selection to Improve Stability and Reproducibility of CT-Based Radiomics in Head and Neck Squamous Cell Carcinoma: A Cross-Institutional Study

Authors: Daria Gaykalova, Ranee Mehra, Jason K Molitoris, Hajar Moradmand, Lei Ren, Amit Sawant, Phuoc Tran

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

Abstract Preview: Purpose: Radiomics extracts quantitative imaging biomarkers from medical images. However, maintaining the reproducibility and stability of selected features across institutions and parameter settings ...

In-Silico Clinical Trials Enabled By Digital Twin Approach Can Accurately and Prospectively Predict Outcomes of Clinical Trials Combining Radiation and Systemic Therapy

Authors: Clemens Grassberger, David (Bo) McClatchy, Harald Paganetti

Affiliation: Department of Radiation Oncology, University of Washington and Fred Hutchinson Cancer Center, Massachusetts General Hospital

Abstract Preview: Purpose: While randomized controlled trials (RCTs) are the gold standard for demonstrating efficacy, nearly 50% of late-stage clinical trials fail to meet their endpoint. Tools to study the design of ...

Interplay of Relative Biological Effectiveness and Dose Rate in Eye Plaque Brachytherapy with Low Energy Photons

Authors: Alexei V. Chvetsov, Sunan Cui, Sunyoung Jang, Robert D. Stewart

Affiliation: University of Washington and Fred Hutchinson Cancer Center, Penn State College of Medicine, University of Washington

Abstract Preview: Purpose: To evaluate spatial variation of relative biological effectiveness (RBE) in COMS (Collaborative Ocular Melanoma Study) eye plaques with low energy 125I and 103Pd photon sources as a function ...

Longitudinal Assessment of Normal Lung Radiosensitivity to Individualize Reirradiation

Authors: Smith Apisarnthanarax, Clemens Grassberger, John Kang, Yejin Kim, Justin Leu, Dominic A. Maes, Matthew J. Nyflot, Ramesh Rengan, Annemarie Shepherd, Jing Zeng

Affiliation: Department of Radiation Oncology, University of Washington and Fred Hutchinson Cancer Center, Department of Radiation Oncology, University of Washington, University of Washington, Department of Radiation Oncology, Fred Hutchinson Cancer Center, University of Washington, University of Washington and Fred Hutchinson Cancer Center

Abstract Preview: Purpose: Reirradiation (ReRT) is a rapidly growing clinical challenge driven by better systemic therapy and longer survival, though clear guidelines for ReRT are lacking. Fitting traditional normal ti...

Lymphocytic Feature Characterization Using a Deep Learning Algorithm on Post-Radiation Lymph Nodes

Authors: Rico Castillo, Katherine Gonzalez, Casey C. Heirman, Kyle J. Lafata, Casey Y. Lee, Xiang Li, Yvonne M Mowery, Yvonne M Mowery, Daniel Murphy, Allison Pittman, Ashlyn G. Rickard

Affiliation: Duke University, Department of Radiation Oncology, Duke University, University of Pittsburgh

Abstract Preview: Purpose: To evaluate the ability of a deep learning model to identify pathomic features in lymph nodes of preclinical head and neck squamous cell carcinoma (HNSCC) models as surrogates for predicting ...

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...

Testing the Performance of Rbe Models Using a Comprehensive Panel of Pancreatic Cancer Cell Lines

Authors: Joana Antunes, Scott James Bright, David B. Flint, Mojtaba Hoseini-Ghahfarokhi, Mandira Manandhar, Poliana Marinello, Gabriel O. Sawakuchi, Tingshi Su

Affiliation: MD Anderson Cancer Center, The University of Texas MD Anderson Cancer Center, Laboratory of Instrumentation and Experimental Particle Physics; Faculty of Science of University of Lisbon, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Department of Radiation Physics, MD Anderson Cancer Center

Abstract Preview: Purpose: To study the accuracy of relative biological effectiveness (RBE) models to predict the RBE of a comprehensive panel of pancreatic cancer cell lines.

Methods: Clonogenic cell survival w...