Authors: Benjamin R. Awad, Bulent Aydogan, Howard J Halpern, Erik Pearson, Gage H. Redler, Jordan M. Slagowski, Rajit Tummala, Autumn E. Walter-Denzin, Jimmy Zydlo
Affiliation: University of Wisconsin-Madison Department of Human Oncology, University of Oxford, The University of Chicago, Moffitt Cancer Center, California State University, Fresno, Department of Human Oncology, University of Wisconsin-Madison
Abstract Preview: Purpose: Small animal models are crucial in cancer research to develop, validate, and translate basic scientific hypotheses into clinical advancements. This study aims to make small animal intensity-m...
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...
Authors: Afrouz Ataei, Xinhui Duan, Andrew R. Godley, Mi-Ae Park, Mahbubur Rahman, Liqiang Ren, Chenyang Shen, Gary Xu
Affiliation: Department of Radiology, UT Southwestern Medical Center, UT Southwestern Medical Center, Rush University, Imaging Services, UT Southwestern Medical Center
Abstract Preview: Purpose:
Electron density (ED) phantoms are crucial for calibrating CT number (HU) to relative ED in treatment planning. This study evaluates the differences in HU-to-ED calibrations between two co...
Authors: Michael Ashenafi, Nicholas Becerra Espinosa, Mario Ramos Gallardo, Matthew Pacella, Sean M. Tanny
Affiliation: Department of Radiation Oncology, University of Rochester
Abstract Preview: Purpose: The newest version of a large commercial treatment planning system (TPS) has introduced a new physical MLC model. We compare the impact of using an averaged dosimetric leaf gap (DLG) value ve...
Authors: Michael Ashenafi, Nicholas Becerra Espinosa, Mario Ramos Gallardo, Matthew Pacella, Sean M. Tanny
Affiliation: Department of Radiation Oncology, University of Rochester
Abstract Preview: Purpose: A new multileaf collimator (MLC) model has been introduced in Varian Eclipse v18.0, with the treatment planning system (TPS) explicitly modeling the leaf end effects. The vendor recommends a ...
Authors: Kenny Guida, Hongyu Jiang, Harold Li, Hem Bahadur Moktan Tamang
Affiliation: University of Nebraska Medical Center, Department of Radiation Oncology, University of Kansas Medical Center
Abstract Preview: Purpose: Varian Eclipse v18.0 introduced Enhanced Leaf Model (ELM) of MLC, which provides better dose calculation accuracy than original DLG-based MLC model. The leaf-gap (LG) parameter for ELM repres...
Authors: Sarah E. Holler, Daniel Johnson
Affiliation: Department of Radiation Oncology, University of Kansas Medical Center
Abstract Preview: Purpose: As the technological availability of modern clinical infrastructure increases in resource-restricted regions of the world, the needs to maintain quality standards of practice need not be hamp...
Authors: D. Michael Lovelock, Charlotte Elizabeth Read, Ren-Dih Sheu, Jing Wang, Tingyu Wang
Affiliation: Icahn School of Medicine at Mount Sinai, Jersey Shore University Medical Center
Abstract Preview: Purpose:
Early Eclipse models use rectangular fluence profiles (widened by the dosimetric leaf gap (DLG) to account for the fact that leaf tips are rounded). Eclipse Version 18 (V18) uses enhanced ...
Authors: Steve B. Jiang, Dan Nguyen, Chenyang Shen, Fan-Chi F. Su, Jiacheng Xie, Shunyu Yan, Daniel Yang, Ying Zhang, You Zhang
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) Lab & Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, The University of Texas at Dallas
Abstract Preview: Purpose: Fast dose verification is essential for the safety and efficiency of MR-guided adaptive radiotherapy (ART) as patients anxiously waiting on the treatment couch. Conventional tools often requi...
Authors: Izabella L. Barreto, Benjamin Taylor Heggie, Stephanie M. Leon
Affiliation: University of Florida College of Medicine, University of Florida
Abstract Preview: Purpose: Filament deposition modeling (FDM) 3D printers may utilize proprietary calibration methods inadequate for medical imaging. Proper techniques are necessary to achieve imaging uniformity standa...
Authors: David Byun, Ting Chen, Paulina E. Galavis, Allison McCarthy, Hesheng Wang, Michael J Zelefsky
Affiliation: NYU Langone Health
Abstract Preview: Purpose: To summarize a MR guided adaptive workflow developed for pelvic lymph nodes (PLN) stereotactic radiotherapy using large field size on Elekta Unity© MR Linac system, and to quantitatively anal...
Authors: Quyen Duong, Si Young Jang, Soyoung Lee, Samuel Ming Ho Luk
Affiliation: Boston University, Department of Radiation Oncology, University of Vermont Medical Center, Boston Medical Center
Abstract Preview: Purpose: To investigate the clinical impact of physical MLC gaps changes with Millennium 120 MLC on Enhanced Leaf Modeling (ELM) and patient plans, and to establish a new MLC model in Eclipse v18.0 on...
Authors: Renxin Chu, Jelena Mihailovic, Kai Yang, Lifeng Yu, Da Zhang
Affiliation: Massachusetts General Hospital, Mayo Clinic, Boston Children's Hospital, UVA Health University Hospital, University of Missouri Health Care
Abstract Preview: Purpose:
A frequently used method to estimate effective dose (ED) in CT is by multiplying the dose length product (DLP) by a conversion factor, known as k-factor. The k-factor in this method is sus...
Authors: Ilias Gatos, Stavros Grigoriadis, George C. Kagadis, Maria Karamesini, Paraskevi Katsakiori, Dimitris N. Mihailidis, Stavros Spiliopoulos, Efstratios Syrmas, Ioannis Theotokas, Stavros Tsantis, Pavlos Zoumpoulis
Affiliation: Diagnostic Echotomography, University of Pennsylvania, University of Athens, University of Patras
Abstract Preview: Purpose: To detect prostate lesions on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) images which is a particularly difficult task due to the heterogeneous and inconsistent representa...