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Results for "positioning breast": 13 found

A Comparative Analysis of the Dosimetric, Alignment, and Setup Efficiency in Left Breast Cancer Radiotherapy Treated with Dibh Using ABC and Sgrt

Authors: Aaron Conard, Victoria Croog, Marie Gurka, Lan Lin

Affiliation: Johns Hopkins University

Abstract Preview: Purpose:
This study evaluates the utility of the Active Breathing Coordinator (ABC) and Surface Guided Radiation Therapy (SGRT) techniques in implementing Deep Inspiration Breath Hold (DIBH) for le...

Accuracy Analysis of "Sphere-Mask" Optical Positioning System in Radiotherapy of Breast Cancer

Authors: Xiu tong Lin, Tao Sun

Affiliation: Department of Radiation physics and technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Department of Radiation physics and technology, Shandong Second Provincial General Hospital

Abstract Preview: Purpose: To compare the positioning accuracy and time efficiency of "Sphere-Mask" Optical Positioning System (OPS) and traditional laser light positioning method in breast cancer radiotherapy, and to ...

Construction and Application Study of a Deep Learning-Based Iscout-Guided Precision Radiotherapy Positioning Error Prediction Model for Breast Cancer

Authors: Fangfen Dong, Jiaming Li, Xiaobo Li, Weipei Wang, Zhixin Wang, Bing Wu, Benhua Xu, Yong Yang, Yifa Zhao

Affiliation: Department of Radiation Oncology, Fujian Medical University Union Hospital/Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors/Clinical Research Center for Radiology and Radiotherapy of Fujian Province (Digestive, Hematologi, Zhangpu County Hospital, School of Medical Imaging, Fujian Medical University

Abstract Preview: Purpose: To explore the construction and clinical application value of a deep learning-based positioning error prediction model, providing a reference for optimizing iSCOUT system-guided precision rad...

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...

Dosimetric Effect of Patient Positioning Errors in Dual-Isocenter VMAT for Bilateral Breast Cancer Treatment: A Quantitative Assessment

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

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

Abstract Preview: Purpose: This study evaluates the dosimetric effects of patient positioning errors, including setup inaccuracies and yaw deviations, on dual-isocenter volumetric modulated arc therapy (VMAT) plans for...

Enhancing Radiation Therapy Precision and Safety: The Role of Cherenkov Imaging in Clinical Practice.

Authors: Adi Robinson, Michael J. Tallhamer

Affiliation: Centura Health, AdventHealth Orlando

Abstract Preview: Purpose: This study aims to evaluate the integration of Cherenkov imaging into radiation therapy practices, focusing on its utility in enhancing treatment precision, patient safety, and clinical decis...

Evaluating the Performance and Limitations of an Automated Treatment Planning Tool for Intact Breast Radiotherapy across Diverse Patient Populations

Authors: Shatha Al Afifi, Hana Baroudi, Leonard Che Fru, Laurence Edward Court, Suzanne B. Evans, Kent A. Gifford, Adam D. Melancon, Melissa P. Mitchell, Issa Mohamad, Patricia Murina, Manickam Muruganandham, Tucker J. Netherton, Callistus M. Nguyen, Joshua S. Niedzielski, Deborah L. Schofield, Simona Shaitelman, Willie Shaw, Sanjay S. Shete, Adam Shulman, Brendon Smith, Sheeba Thengumpallil, Carlos Daniel Venencia, Conny Vrieling

Affiliation: University of Cape Town, MD Anderson Cancer Center, The University of Texas MD Anderson Cancer Center, University of the Free State, UT MD Anderson Cancer Center, King Hussein Cancer Center, Instituto Zunino - Fundacion Marie Curie, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Dra., Hirslanden Clinique des Grangettes, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Department of Therapeutic Radiology, Yale University School of Medicine, Yale University, The University of Texas, MD Anderson, Houston TX

Abstract Preview: Purpose:
Automated contouring and planning tools are usually trained on single-institution datasets, seldom tested across diverse patient populations. This introduces a risk of population bias, res...

Evaluation of an Offline Adaptive CBCT Planning Workflow for Halcyon with Hypersight

Authors: Michelle Alonso-Basanta, Joshua Bryer, Lei Dong, Barbara Garcia, Elissa Khoudary, Brandon M. Koger, Taoran Li, Michael Salerno, Karen Tang, Boon-Keng Kevin Teo

Affiliation: University of Pennsylvania

Abstract Preview: Purpose: The Varian HyperSight imaging solution features a workflow for planning on CBCT images (CBCTp). This study evaluates the feasibility of CBCTp images in the setting of an offline adaptive plan...

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...

Improved Setup Accuracy for Dibh Whole Breast Radiotherapy with Surface-Guided Radiation Therapy

Authors: CheukKai Becket Hui, Goldie M. Klein, Yildirim D. Mutaf, Amir Pourmoghaddas

Affiliation: UC Health, Kaiser Permanente

Abstract Preview: Purpose:
In this study, we investigated the effect of SGRT (Align-RT) implementation on patient setup accuracy for DIBH breast radiotherapy treatments.
Methods:
We extracted vertical post-ima...

Investigating Factors Impacting the Consistency of Signal-to-Noise Ratio in Mammographic Automatic Exposure Control

Authors: James Ward, Anzi Zhao

Affiliation: Northwestern Medicine

Abstract Preview: Purpose: This study investigates the impact of tissue-equivalent attenuator materials, the region of interest (ROI) size, and the orientation of the attenuator positioning on the measured signal-to-no...

Patient-Specific Bio-Morphological Features in Cherenkov Imaging for Positioning Verification: A Retrospective Analysis in Accelerated Partial Breast Irradiation (aPBI) VMAT Radiotherapy

Authors: Yao Chen, Lesley A Jarvis, Allison Matous, Rongxiao Zhang

Affiliation: Dartmouth College, University of Missouri, Dartmouth Cancer Center, Dartmouth Health

Abstract Preview: Purpose: Precise patient positioning is critical in accelerated partial breast irradiation (aPBI) to ensure accurate dose delivery to the tumor bed while minimizing exposure to surrounding healthy tis...

Towards Real-Time Radiotherapy Monitoring By Cherenkov Imaging: Applications of Patient-Specific Bio-Morphological Features Segmented Via Deep Learning

Authors: Petr Bruza, Yao Chen, David J. Gladstone, Lesley A Jarvis, Brian W Pogue, Kimberley S Samkoe, Yucheng Tang, Shiru Wang, Rongxiao Zhang

Affiliation: NVIDIA Corp, Dartmouth College, Thayer School of Engineering, Dartmouth College, Dartmouth Cancer Center, University of Missouri, University of Wisconsin - Madison

Abstract Preview: Purpose: Cherenkov imaging provides real-time visualization of megavoltage radiation beam delivery during radiotherapy. Patient-specific bio-morphological features, such as vasculature, captured in th...