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Results for "risk factors": 32 found

A Causal Machine Learning Analysis of Dosimetric and Clinical Predictors of Osteoradionecrosis in Head and Neck Cancer Radiotherapy

Authors: Jingyuan Chen, Sheng Li, Tianming Liu, Wei Liu, Zhengliang Liu, Zhong Liu, Daniel Ma, Samir H. Patel, Guangya Wang, Yunze Yang

Affiliation: University of Miami, Mayo Clinic, School of Data Science, University of Virginia, School of Computing, University of Georgia, Department of Radiation Oncology, Mayo Clinic, Institute of Western China Economic Research, Southwestern University of Finance and Economics

Abstract Preview: Purpose:
Traditional patient outcome analyses relied heavily on conventional statistical models that primarily elucidate correlation rather than causal relationships. In this study, we aim to ident...

A Radiomics and Dosomics-Based Approach for Predicting Hematologic Toxicity in Patients with Cervical or Endometrial Cancer

Authors: Yongrui Bai, Xuming Chen, Yong Liu, Xiumei Ma

Affiliation: Department of Radiation Oncology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, Department of Radiation Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

Abstract Preview: Purpose: Hematologic toxicity (HT) is a common complication in patients with cervical or endometrial cancer. This study aims to develop a precise predictive model for acute HT in patients with cervica...

AI-Driven Drug Discovery through an Interactive Analysis of Radiomics and Biological Insights in Glioblastoma

Authors: Nobuki Imano, Yuzuha Kadooka, Daisuke Kawahara, Misato Kishi, Yuji Murakami, Shumpei Onishi

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

Abstract Preview: Purpose: Radiomics has proven useful in predicting overall survival in glioblastoma (GBM) patients, but consistent molecular correlations remain unidentified, leaving its biological basis unclear. Thi...

Achieving Consistent Calcium Score in Lung Cancer Screening: Influence of Cardiac Phases

Authors: Emi Ai Eastman, Chao Guo, Christina Lee, Xinhua Li, Alexander W. Scott, Yifang (Jimmy) Zhou

Affiliation: Cedars-Sinai Medical Center

Abstract Preview: Purpose:
Smoking is one of the risk factors for coronary artery disease. It is desirable to estimate the coronary artery calcification (CAC), a key biomarker for atherosclerosis and cardiovascular ...

Adapting Newer Treatment Planning Strategy for Uveal Melanoma Cases Using Gamma Knife Radiosurgery

Authors: Deepak Agrawal, Subhash Gupta, Shashanksharad Kale, Gopishankar Natanasabapathi, Manoj Phalak, Dhanabalan Rajasekaran, Surendra Kumar Saini, Subramani Vellaiyan

Affiliation: All India Institute of Medical Sciences (AIIMS), All India Institute of Medical Sciences

Abstract Preview: Purpose:
To evaluate planning strategy for uveal melanoma tumor (UM) in gamma knife stereotactic radiosurgery (GKSRS) using Lightning inverse planning software for treatment planning.
Methods:

Anatomical Noise Power Exponent (Ξ²) As an Image-Based Risk Factor for Breast Cancer

Authors: Yile Fang, Leslie Lamb, Nathaniel David Mercaldo, Kai Yang

Affiliation: Massachusetts General Hospital

Abstract Preview: Purpose: To quantitatively evaluate power-law exponent Ξ² as a potential image-based breast cancer risk factor.

Methods: Two groups of breast cancer screening cohorts (target vs. control, 20 sub...

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 ...

Clinical Factors Associated with Urinary Morbidity in Men Undergoing Combination Prostate Radiation Therapy

Authors: James Benton, Andrew Dewar, Benjamin C Lee, Ryan Y Lee

Affiliation: Radiotherapy Clinics of Georgia, Urology of Greater Atlanta

Abstract Preview: Purpose:
The purpose of our investigation was to determine if pre-treatment factors could predict urinary morbidity after combination radiation treatment for localized prostate cancer.
Methods:<...

Deep Learning-Based Auto-Segmentation in Cervical High-Dose-Rate Brachytherapy with Clinical Considerations

Authors: Benjamin Haibe-Kains, Ruiyan Ni, Alexandra Rink

Affiliation: Department of Medical Biophysics, University of Toronto, University Health Network

Abstract Preview: Purpose: Accurate auto-segmentation for targets and organs-at-risk (OARs) using deep learning reduces the delineating time in radiotherapy. In high-dose-rate brachytherapy, specific clinical criteria ...

Enhancing Proton Treatment and Mitigating Radiation-Induced Lung Injury Using a Novel Cycle Diffusion Approach for Lung Ventilation Estimation

Authors: Yang Lei, Haibo Lin, Tian Liu, Charles B. Simone, Shouyi Wei, Ajay Zheng

Affiliation: Icahn School of Medicine at Mount Sinai, New York Proton Center

Abstract Preview: Purpose: Radiation-induced lung injury (RILI), encompassing pneumonitis and fibrosis, represents a critical dose-limiting factor in lung cancer radiation therapy. Variability in treatment outcomes is ...

Enhancing Radiotherapy Planning with Machine Learning: Correlating Anatomical Features and Planning Difficulty to Guide Optimal Plan Design

Authors: Li Chen, Shouliang Ding, Xiaoyan Huang, Lecheng Jia, Hua Li, Hongdong Liu, Yanfei Liu, Zun Piao, Guangyu Wang

Affiliation: State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Shenzhen United Imaging Research Institute of Innovative Medical Equipment

Abstract Preview: Purpose: Optimal radiotherapy planning is challenging, influenced by anatomical factors such as surrounding organs and tumor characteristics, which complicate dose distribution and target coverage. Wh...

Evaluating Three Practical Approaches to Managing Dose Accumulation in Normal Tissues during Radiation Re-Treatments

Authors: Derek A. Fiedler, Nixon Gutierrez, Quyen L. Jones, Zejian Liu, Tatsiana Reynolds

Affiliation: Texas Oncology, Minnesota Oncology, US Oncology

Abstract Preview: Purpose: Optimize patient safety and treatment efficacy during radiation re-treatment planning. Provide a comprehensive comparison of the methods by focusing on their applicability, accuracy, and limi...

Impact of Proton Beam Arrangements on LETd and RBE in Organs at Risk for Nasopharyngeal Cancer

Authors: Mauricio Acosta, Zachary Fellows, Alonso N. Gutierrez, Noah S. Kalman, Kristen A. McConnell, Rob Rohe, Andrew J. Wroe, Sreenija A Yarlagadda

Affiliation: Miami Cancer Institute, Baptist Health South Florida

Abstract Preview: Purpose:
Beam selection is crucial in proton therapy to ensure optimal physical and biological dose conformity to the target while maximizing sparing of normal tissue. This work investigates the im...

Impact of Tumor-to-Normal Ratio and Glass Microsphere Particle Density on Local Progression-Free Survival Following Lobar Yttrium-90 Radioembolization

Authors: Jason Chiang, Magnus Dahlbom, Veronica Hankil, Xinyi Li, Catherine (Caffi) Meyer, Kyung Hyun Sung

Affiliation: UCLA, University of California, Los Angeles

Abstract Preview: Purpose:
Yttrium-90 (90Y) radioembolization is a well-established therapy for large or multifocal liver tumors. Accurate dosimetry is critical but remains challenging, as low particle density risks...

Improve the Risk Prediction of Radiation-Induced Esophagitis in Lung IMRT By an Anisotropic Dose Convolution Neural Network

Authors: Ibtisam Almajnooni, Elisabeth Weiss, Lulin Yuan

Affiliation: Virginia Commonwealth University

Abstract Preview: Purpose: We developed a deep learning neural network (DLNN) to predict the risk of radiation-induced esophagitis (RE) during lung cancer radiation therapy based on the spatial dose distribution, for t...

Innovative Biological Adaptive Radiotherapy (BART) Approach for Head-and-Neck Cancer Treatment Interruptions

Authors: Nobuki Imano, Daisuke Kawahara, Akito S Koganezawa, Yuji Murakami, Ikuno Nishibuchi, Takuya Wada

Affiliation: Department of Information and Electronic Engineering, Faculty of Science and Engineering, Teikyo University, Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University

Abstract Preview: Purpose: Adaptive radiotherapy (ART) compensates for treatment plans based on anatomical changes while not considering biological effects such as interruptions during treatment. This study aims to dev...

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 Pitch Factor on Plan Quality in Patients Treated with Hippocampal Avoidance Whole Brain Radiotherapy Using Volo Ultra-Optimized Helical Tomotherapy Plans

Authors: Awens Alphonse, Nebi Demez, Noufal Manthala Padannayil, Shyam Pokharel, Suresh Rana, Lauren A. Rigsby, Gagandeep Saini, Nishan Shrestha, Somol Sunny

Affiliation: Lynn Cancer Institute, Boca Raton Regional Hospital, Baptist Health South Florida

Abstract Preview: Purpose: This study examined the impact of varying the pitch factor in hippocampal-avoidance whole-brain (HP-WB) radiotherapy treatments, utilizing the newly introduced VOLO Ultra optimization for Hel...

Investigation and Machine-Learning Modeling of Dosimetric Discrepancies in Eclipse-Calculated Head and Neck Treatment Plans

Authors: Andres Portocarrero Bonifaz, Ian Schreiber

Affiliation: CARTI Cancer Center

Abstract Preview: Purpose: To explore how calculation grid resolution, along with other planning factors, affects head and neck dose calculation accuracy and contributes to potential discrepancies in the Eclipse Treatm...

Investigation into the Robustness of Spine Stereotactic Body Radiotherapy Plans to Patient Setup Errors

Authors: Yukio Fujita, Syoma Ide, Fumiki Ito, Kei Ito, Satoshi Kito, Keiko Murofushi, Yujiro Nakajima, Yuhi Suda, Kentaro Taguchi, Naoki Tohyama, Fumiya Tsurumaki, Riku Watanabe

Affiliation: Komazawa University Graduate School, Komazawa University, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital

Abstract Preview: Purpose: Spine stereotactic body radiotherapy (SBRT) demands high precision due to the target's proximity to the spinal cord and steep dose gradients, which complicate treatment planning. Consequently...

Investigation of the Impact of Dlg Changes on Plan Quality and Patient Specific QA

Authors: Nicole C. Detorie, Steven M. Kirsner, Remy Y. Manigold

Affiliation: Scripps Cancer Center

Abstract Preview: Purpose:
Dosimetric Leaf Gap (DLG) is an important factor in obtaining the proper beam model in the Eclipse treatment planning system. The purpose of this study was to investigate the dosimetric im...

Knowledge-Based Three-Dimensional Dose Prediction for High Dose Rate Prostate Brachytherapy

Authors: Mojtaba Behzadipour, Suman Gautam, Tianjun Ma, Ikchit Singh Sangha, Bongyong Song, William Song, Kumari Sunidhi

Affiliation: UC San Diego, Virginia Commonwealth University

Abstract Preview: Purpose: This study aims to develop a knowledge-based voxel-wise dose prediction system using a convolutional neural network (CNN) for high-dose-rate (HDR) prostate brachytherapy and to evaluate its p...

Mitigating Data-Driven Uncertainty in Machine Learning-Based Radiotherapy Outcome Prediction

Authors: Ali Ajdari, Alice Bondi, Thomas R. Bortfeld, Gregory Buti, Xinru Chen, Zhongxing Liao, Antony John Lomax, Ting Xu

Affiliation: The University of Texas MD Anderson Cancer Center, Department Of Radiation Oncology, Massachusetts General Hospital (MGH), Massachusetts General Hospital & Harvard Medical School, Paul Scherrer Institut, ETH Zurich

Abstract Preview: Title: Addressing Imaging and Biomarker-driven Uncertainty in Machine Learning-based Radiotherapy Outcome Prediction
Alice Bondi, Gregory Buti, Antony Lomax, Thomas Bortfeld, Xinru Chen, Ting Xu, Z...

Multi-Criteria Optimization in Medical Physics Resource Allocation: Design of an Efficient and Equitable Scheduling System

Authors: Dalton Griner, Kathryn L. Kolsky, Joseph John Lucido, Andrew J. Veres

Affiliation: Mayo Clinic

Abstract Preview: Purpose: This project aimed to automate a complex and time-consuming employee scheduling process. By replacing the traditional manual method with a multi-criteria optimization-based system (MCO), the ...

Multi-Institutional Analysis of CT Dose Index Variability and Radiomics Features

Authors: Caroline Chung, Michael Knopp, Stephen F. Kry, Hunter S. Mehrens, John Rong

Affiliation: The University of Texas MD Anderson Cancer Center, UT MD Anderson Cancer Center, University of Cincinnati

Abstract Preview: Purpose: To evaluate the variability of CT dose index (CTDIvol) and radiomics features across a large cohort of radiotherapy simulation CT scans from multiple institutions.
Methods: Three IROC phan...

Multimodal Data Integration with Machine Learning for Predicting PARP Inhibitor Efficacy and Prognosis in Ovarian Cancer

Authors: Qianxi Ni, Xian Xiong

Affiliation: The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University

Abstract Preview: Purpose:
Poly(ADP)-ribose polymerase inhibitors (PARPi) have brought a significant breakthrough in the maintenance treatment of ovarian cancer. However, beyond BRCA mutation/HRD, the direct impact ...

Optimizing Vessel Wall Visualization Using a Novel Black-Blood CT Technique on Craniocervical CT Angiography

Authors: Xiaohu Li, Jianjun Shen, Guozhi Zhang, Sihua Zhong, Jingjie Zhou

Affiliation: United Imaging Healthcare

Abstract Preview: Purpose:
Visualization of carotid artery vessel wall on computed tomography angiography (CTA) imaging is challenging. This study aims to develop a novel post-processing technique, black-blood compu...

Personalized Radiotherapy: A Novel Approach to Multi-Criteria Optimization with Patient-Specific Risk Integration

Authors: Ali Ajdari, Thomas R. Bortfeld, Zhongxing Liao, Mara Schubert, Katrin Teichert

Affiliation: The University of Texas MD Anderson Cancer Center, Department Of Radiation Oncology, Massachusetts General Hospital (MGH), Massachusetts General Hospital & Harvard Medical School, Fraunhofer ITWM

Abstract Preview: Purpose: Radiotherapy (RT) treatment planning often involves solving a multi-criteria optimization (MCO) problem. Conventionally, MCO considers a set of generic (population-wide) dosimetric criteria, ...

Prediction of Head and Neck Cancer Using Artificial Neural Network through Basic Health Data

Authors: Abdullah Hidayat, Wazir Muhammad

Affiliation: Florida Atlantic University

Abstract Preview: Purpose: This study aims to predict Head and Neck cancer using an artificial neural network (ANN) through readily available basic health data. The goal is to uncover hidden patterns and predictors in ...

Retrospective Comparison of Treatment Plan Quality As a Function of Delivery Time for SBRT Thoracic Tumors

Authors: Danielle Renee Daiger, Nicholas N. Sperling

Affiliation: University of Toledo, University of Toledo Medical Center

Abstract Preview: Purpose:
To retrospectively evaluate the impact of planned delivery time on plan quality metrics for breath-hold VMAT SBRT thoracic cancer patients.
Methods:
Patients treated for SBRT thoraci...

Two's Company, Three's a Crowd? a Bayesian Approach to Optimizing the Number of Measurement Readings in Radiation Therapy QA

Authors: Siyong Kim, Ava Paek, Joseph B. Schulz, James J. Sohn, Eric D. Stolen, Ethan D. Stolen

Affiliation: Department of Radiation & Cellular Oncology, University of Chicago, University of Central Florida, Virginia Commonwealth University, Department of Radiation and Cellular Oncology, University of Chicago, Department of Radiation Oncology, Stanford University School of Medicine

Abstract Preview: Purpose: The American Association of Physicists in Medicine Task Group 142 (AAPM TG-142) guidelines recommend three measurements during monthly quality assurance to keep results within two standard de...

Using Machine Learning to Predict Esophagitis Risk in Lung Cancer Radiotherapy Based on Clinical and Dosimetric Factors

Authors: Ibtisam Almajnooni, Siyong Kim, Nathaniel Miller, Elisabeth Weiss, Lulin Yuan

Affiliation: Virginia Commonwealth University

Abstract Preview: Purpose: Radiation-induced esophagitis (RE) is a common concern in lung cancer IMRT. Recent studies have indicated that the risk of radiation side effects varies greatly with patients’ baseline clinic...