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Results for "sensitivity precision": 21 found

A Multimodal CAD System for Breast Cancer Detection: Integrating MRI, DBT, and Mammography for Dense Breast Challenges

Authors: Si-Wa Chan, Yuan-Yu Lee, Zhi-Ying Li, Jia-Wei Liao, Hui-Yu Cathy Tsai

Affiliation: Department of Radiology, Taichung Veterans General Hospital​, Institute of Nuclear Engineering and Science, National Tsing Hua University

Abstract Preview: Purpose: Dense breast tissue reduces the sensitivity of mammography, posing diagnostic challenges, especially for Asian women with high breast density (up to 50%). Current single-modality techniques o...

A No-Reference Medical Image Quality Assessment Method Based on Automated Distortion Recognition Technology: Application to Preprocessing in MRI-Guided Radiotherapy

Authors: Jiayun Chen, Shengqi Chen, Yuan Tang, Zilin Wang, Guohua Wu, Jianan Wu

Affiliation: Cancer Hospital Chinese Academy of Medical Sciences, Shenzhen Center, School of Electronic Engineering, Beijing University of Posts and Telecommunications, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

Abstract Preview: Purpose:
To develop a novel no-reference image quality assessment (NRIQA) method for evaluating the effectiveness of image preprocessing in MRI-guided radiotherapy (MRIgRT), thereby enhancing clini...

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 Case Prioritization in Breast Radiation Therapy Peer Review Rounds

Authors: Leigh A. Conroy, Thomas G Purdie, Christy Wong

Affiliation: Department of Medical Biophysics, University of Toronto, Princess Margaret Cancer Centre

Abstract Preview: Purpose: To develop a novel machine learning (ML) algorithm to evaluate and rank breast radiation therapy (RT) treatment plans based on treatment complexity for prioritization in multidisciplinary pee...

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...

BEST IN PHYSICS THERAPY: Overcoming Challenges in Developing Machine Learning-Driven Acute Kidney Injury Predictive Models Using Non-Standard Emrs in Resource-Limited Settings

Authors: Yuanhan Chen, Ziqiang Chen, Qi Cheng, Feng Ding, Rui Fang, Shengwen Guo, Li Hao, Qiang He, Haiquan Huang, Yu Kuang, Xinling Liang, Yuanjiang Liao, Guohui Liu, Chen Lu, Qingquan Luo, Jing Sun, Yanhua Wu, Zhen Xie, Qin Zhang, Lang Zhou

Affiliation: South China University of Technology, Dongguan people's hospital, Sichuan Provincial People's Hospital, People’s Hospital of Xinjiang Uygur Autonomous Region, Second Hospital of Anhui Medical University, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong Easy Life Information Technology Co., Ltd, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Medical Physics Program, University of Nevada, Second Hospital of Jilin University, Chongqing Ninth People's Hospital

Abstract Preview: Purpose: Acute kidney injury (AKI) is a global healthcare issue with a rapid onset and severe consequences. Repeated measurement of serum creatinine (SCr) levels, a clinical standard of care, is cruci...

Characterizing the Stability of Upright CT for Proton Therapy

Authors: Brian Burger, Carri K. Glide-Hurst, John W. Hayes, Carson Hoffman, Minglei Kang, Jessica R. Miller, Jordan M. Slagowski, Yuhao Yan

Affiliation: Department of Human Oncology, University of Wisconsin-Madison, Departments of Human Oncology and Medical Physics, University of Wisconsin-Madison, Leo Cancer Care

Abstract Preview: Purpose: The combination of upright CT and patient positioner for particle therapy present tremendous potential for high precision IGRT and online adaptive radiation therapy (ART), where reliable CT p...

Deep Learning Based Automatic Cerebrovascular Segmentation in Multi-Center TOF-MRA Datasets

Authors: Gayoung Kim, Junghoon Lee

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

Abstract Preview: Purpose: 3D time-of-flight magnetic resonance angiography (TOF-MRA) is widely used for visualizing cerebrovascular structures. Accurate segmentation of cerebrovascular structures is critical for relia...

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 ...

Design and Testing of an External Control System for Beam Control and Pre-Delivery Optimization for Conventional- and Ultra-High-Dose-per-Pulse Flash Irradiations

Authors: Alexander Baikalov, Luke Connell, Nicholas Coupey, Nolan M. Esplen, Rebecca Lim, Chinh Nguyen, Emil Schueler

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

Abstract Preview: Purpose: FLASH radiotherapy delivered using electron linear accelerators (LINAC) requires precise control and minimal variation of dose rate and We developed a robust external beam control system (EBC...

Direct in-Vivo Real-Time Singlet Oxygen Detection in Photofrin-Mediated Photodynamic Therapy (PDT) Using Multispectral Singlet Oxygen Dosimetry (MSOLD)

Authors: Theresa Busch, Robert H Hadfield, Madelyn Johnson, Baozhu Lu, Hongjing Sun, Brian C. Wilson, Weibing Yang, Timothy C. Zhu

Affiliation: University of Glasgow, University of Toronto, University of Pennsylvania

Abstract Preview: Purpose: Direct detection of singlet-state oxygen (¹O₂) is crucial for advancing type II photodynamic therapy (PDT), but its short lifetime makes in vivo measurement highly challenging. Although Photo...

Dosinme: A 3D Visualization Platform for Internal Dosimetry and Radionuclide Behavior in Computational Human Phantoms

Authors: Lotem Buchbinder Shadur, Shaheen Dewji, Martin Graffigna, Alejandro Rafael Martinez, Emmanuel Mate-Kole, Antonio McClain, Samuel Taylor, Jeffrey Wang

Affiliation: Student, Nuclear and Radiological Engineering and Medical Physics Programs, Georgia Institute of Technology

Abstract Preview: Purpose: DosInMe is an internal dosimetry visualization tool developed by the Radiological Engineering, Detection, and Dosimetry Laboratory at Georgia Tech to assist researchers and professionals in v...

Dynamic Winston-Lutz Testing for FFF Beams

Authors: Cambridge L Bui-Nguyen, Alexander S. Nguyen, Liqiang (Lee) Tao

Affiliation: Varian AOS @Epic Care, UC Berkeley

Abstract Preview: Purpose: Dynamic Winston-Lutz (WL) testing provides a comprehensive framework for evaluating the accuracy of isocenter alignment. This study investigates the impact of dynamic beam modulation, such as...

Enhancing CNN-Based Brain Metastasis Detection in MRI By Integrating Locoregional 3D Deformation Technique

Authors: Minbin Chen, Ke Lu, Kaizhong Shi, Chunhao Wang, Chuan Wu, Zhenyu Yang, Fang-Fang Yin, Jingtong Zhao

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

Abstract Preview: Purpose: MRI-based automatic detection of brain metastases is often challenged by the small size and subtle nature of metastases. This study aimed to develop a novel deep learning-based brain metastas...

First In Vivo Proton Beam Irradiation of Mice with Quasi-Real-Time Range Verification with the Sirmio PET Scanner

Authors: Niels Bassler, Jonathan Bortfeldt, Francesco Evangelista, Giulio Lovatti, Jasper Nijkamp, Rasmus Nilsson, Munetaka Nitta, Katia Parodi, Marco Pinto, Per R. Poulsen, Brita Singers Sørensen, Peter Thirolf, Erik Traneus, Taiga Yamaya

Affiliation: RaySearch Laboratories AB, National Institutes for Quantum Science and Technology, Department of Medical Physics, Ludwig-Maximilians-Universität München (LMU Munich), Ludwig-Maximilians Universität, Danish Centre for Particle Therapy, Aarhus University Hospital, Department of Medical Physics, Ludwig-Maximilians-Universität (LMU) München, Department of Experimental Clinical Oncology, Aarhus University, Department of Oncology, Aarhus University Hospital

Abstract Preview: Purpose: Within the SIRMIO project (Small Animal Proton Irradiator for Research in Molecular Image-Guided Radiation Oncology), we aimed to perform the first in vivo proton beam treatment with a dedica...

Identification of Potential Patients for Resimulation and Adaptive Planning By Machine Learning

Authors: Mark Ashamalla, Renee Farrell, Jinkoo Kim, Kartik Mani, Xin Qian, Samuel Ryu, Yizhou Zhao

Affiliation: Stony Brook Medicine, Stony Brook University Hospital

Abstract Preview: Purpose: Adaptive planning is increasingly used in head and neck radiation therapy due to factors like tumor response or changes in patient anatomy. However, methods such as resimulation or offline re...

Improving the Robustness of AI-Based Detection and Segmentation for Brain Metastasis By Optimizing Loss Function and Multi-Dataset Training

Authors: Omar Awad, Alfredo Enrique Echeverria, Issam M. El Naqa, Daniel Allan Hamstra, Yiding Han, Ryan Lafratta, Abdallah Sherif Radwan Mohamed, Piyush Pathak, Zaid Ali Siddiqui, Baozhou Sun, Vincent Ugarte

Affiliation: H. Lee Moffitt Cancer Center, Harris Health, Baylor College of Medicine

Abstract Preview: Purpose:
Accurate detection and segmentation of brain metastases are critical for diagnosis, treatment planning, and follow-up imaging but are challenging due to labor-intensive manual assessments ...

Integrating Large Kernel Attention Mechanism into Deep Learning Model for Automatic and Auccrate Segmentation of Gross Tumor Volume in Lung Cancer Patients

Authors: Xuezhen Feng, Li-Sheng Geng, Haoze Li, Xi Liu, Tianyu Xiong, Ruijie Yang

Affiliation: Department of Health Technology and Informatics, The Hong Kong Polytechnic University, School of Physics, Beihang University, School of Nuclear Science and Technology, University of South China, Department of Radiation Oncology, Peking University Third Hospital

Abstract Preview: Purpose: This study aimed to develop a deep learning-based algorithm for automatically delineate gross tumor volume (GTV) for lung cancer patients, alleviating the workload of radiologists and improvi...

Lymph Node Malignancy Prediction in Head and Neck Cancer Using a Graph Neural Network

Authors: Liyuan Chen, Meixu Chen, Bowen Jing, Sepeadeh Radpour, Erich Josef Schmitz, David Sher, Jing Wang

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

Abstract Preview: Purpose: Prospective clinical trials have shown that involved nodal radiation therapy (INRT) can substantially improve patients’ quality of life without increasing the risk of elective nodal failure. ...

Protocol for In Vivo Dosimetry Using Myoslchip System: Characterization and Clinical Application

Authors: Jeremy S. Bredfeldt, Daniel W. Cail, Maria A. Czerminska, Cindy I. Hancox, David Hu, Benjamin Karasko, Claire Keun Sun Park

Affiliation: Department of Radiation Oncology, Brigham and Women's Hospital, Harvard Medical School, Brigham and Women's Hospital, Brigham and Women’s Hospital and Dana Farber Cancer Institute, Harvard Medical School

Abstract Preview: Purpose: To develop a robust clinical protocol for in vivo dosimetry in radiotherapy using the myOSLchip Optically Stimulated Luminescent Dosimeter (OSLD) system by performing characterization and eva...

Skin Lesion Subtype Classification Using Lesion and Border Radiomic Features

Authors: Rituparna Basak, Maede Boroji, Renee F Cattell, Vahid Danesh, Imin Kao, Kartik Mani, Xin Qian, Samuel Ryu, Tiezhi Zhang

Affiliation: Stony Brook Medicine, Stony Brook University, Washington University in St. Louis, Stony Brook University Hospital

Abstract Preview: Purpose: Fundamental qualitative characteristics physicians use to differentiate skin lesion subtypes include asymmetry, border irregularity, and color. Radiomic features have potential to quantify th...