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Keywords: quality control
| MO-F-TRACK 3-0 | MRI Homogeneity Testing J Och1*, C Brunnquell2*, (1) Geisinger Medical Center, Danville, PA, (2) University of Washington, Seattle, WA |
| PO-GePV-I-6 | An Easy-To-Use Tool for Annual MRI Performance Evaluation Using the ACR Large Phantom J Storrs1*, H Khosravi1, A Fatemi1,2, (1) University of Mississippi Medical Center, Jackson, MS, (2) Merit Health Cancer Center, SpinTecx.LLC, Madison, MS |
| PO-GePV-I-23 | Conformance Analysis Between Positive Beam Limitation Quality Control Methods in Digital Roentgen-Ray Imaging R Perez Franco*, M Fadhel, D Vergara, A Mustafa, I Bercha, Yale New Haven Hospital, Yale School of Medicine, New Haven, CT |
| PO-GePV-M-230 | MRI Characterization of 3D Printed Anatomic Models Using a Dual-Echo Ultrashort TE (UTE) Sequence N Wake*, Q Peng, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY |
| PO-GePV-P-5 | Connecting Tableau to An Oncology Informatics System to Identify Treatment Planning Workflow Delays A Witztum1*, P Sharma2, E Hirata1, (1) University of California, San Francisco, San Francisco, CA, (2) University Of San Francisco, CA |
| PO-GePV-P-12 | An Integrated, Automated Framework for Review and Approval of Policies and Procedures J Neylon*, D Low, N Agazaryan, David Geffen School of Medicine at UCLA, Los Angeles, CA |
| PO-GePV-P-44 | Validation of the Varian Machine Performance Check Enhanced Couch Accuracy J Donaghue1*, S Gajdos2, (1) Cleveland Clinic Fairview, Cleveland, OH, (2) Cleveland Clinic Akron General, Akron, OH |
| PO-GePV-T-153 | Towards Implementation of a Knowledge-Based Decision Support System for Treatment Plan Auditing Through Automation S Liu1*, K Ohri2, J Bertini3, S Berry4, D Yang5, C Della-Biancia6, (1) Memorial Sloan Kettering Cancer Center, New York, NY, (2) Memorial Sloan-Kettering Cancer Center, New York, NY, (3) University of Chicago, Chicago, IL, (4) Memorial Sloan Kettering Cancer Center, New York, NY, (5) Washington University in St Louis, St Louis, MO, (6) Memorial Sloan Kettering Cancer Center, New York, NY |
| PO-GePV-T-159 | Failure Modes and Effects Analysis of Low Dose Bilateral Whole Lung Irradiation Treatment for COVID-19 Positive Patients Requiring Respiratory Ventilation A Swanson*, D DiCostanzo, N Gupta, K Hintenlang, A Cetnar, The Ohio State University, Columbus, OH |
| PO-GePV-T-160 | Failure Modes and Effects Analysis (FMEA) for Multi-Site, Multi-Institutional Deep Inspiration Breath Hold (DIBH) Treatments M diMayorca*, S Wadi-Ramahi, R Lalonde, T Wilhite, S Ellsworth, A Hays, M Huq, UPMC Hillman Cancer Center and University of Pittsburgh School of Medicine, Pittsburgh, PA |
| PO-GePV-T-261 | Development of a Progressive Plan Quality Evaluation Solution J Neylon*, J Hegde, S Mccloskey, J Lamb, University of California, Los Angeles, Los Angeles, CA |
| PO-GePV-T-313 | Second Dosimetry Check with Deep DoseNet P Dong*, L Xing, Stanford University, Stanford, CA |
| PO-GePV-T-337 | Effect of Target Positioning Error On Tumor Control Probability in Stereotactic Radiosurgery for Metastatic Brain Tumors Using the CyberKnife M6 T Takizawa1,2*, S Tanabe3, H Nakano3, S Utsunomiya4, M Sakai3, K Maruyama1, S Takeuchi5, T Nakano2, A Ohta3, M Kaidu2, H Ishikawa2, K Onda5, (1) Department of Radiation Oncology, Niigata Neurosurgical Hospital, Niigata, JP, (2) Department of Radiology and Radiation Oncology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, JP, (3) Department of Radiation Oncology, Niigata University Medical and Dental Hospital, Niigata, JP, (4) Department of Radiological Technology, Niigata University Graduate School of Health Sciences, Niigata, JP, (5) Department of Neurosurgery, Niigata Neurosurgical Hospital, Niigata, JP |
| PO-GePV-U-2 | The Use of Statistics-Based Analyses of Random Spherical Void Phantoms as a Potential Means for Quantitatively Assessing the Performance of Ultrasound Imaging Systems M Holland*, Indiana University- School of Medicine, Indianapolis, IN |
| SU-A-TRACK 6-4 | Predicting Daily Record of Machine Performance Check Using Multi-Long Short-Term Memory Neural Networks M Ma*, J Dai, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, China, BeijingCN, |
| SU-D-TRACK 6-1 | A Systematic Approach to Balancing Radiotherapy Risk Management and Infection Control During a Pandemic N Islam*, S Wadi-Ramahi, R Lalonde, M Huq, UPMC Hillman Cancer Center and University of Pittsburgh School of Medicine, Pittsburgh, PA |
| SU-D-TRACK 6-2 | Application of Machinery FMEA (MFMEA) for the Risk Assessment of Machine Issues Using An In-House Electronic Reporting System T Teo1*, S Kucuker Dogan2, B Zawislak1, M Gopalakrishnan2, I Das2, (1) Northwestern Memorial Hospital, Chicago, IL, (2) Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL, |
| SU-F-TRACK 3-6 | Validation of Automated MTF Measurement for Digital X-Ray Imaging Quality Control A Bey1*, C MacLellan2, D Zhang3, M Palmer4, (1) Boston Children's Hospital, Boston, MA, (2) Beth Israel Deaconess Medical Center, Boston, MA, (3) Boston Children's Hospital, Boston, MA, (4) Beth Israel Deaconess Medical Center, Boston, MA |
| WE-D-TRACK 1-4 | Power Transformations On Multivariate Non-Normal Radiotherapy Plan Quality Measures R Widjaja1*, A Roy1, M Gopalakrishnan2, B Mittal2, (1) The University of Texas at San Antonio, San Antonio, TX, (2) Northwestern Memorial Hospital, Chicago, IL |
| WE-E-TRACK 1-1 | Microsoft Teams® as An Operational Tool for Evaluation of Machine Performance and QA Tasks M Gopalakrishnan*, S Kucuker Dogan, B Zawislak, T Teo, I Das, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL |
| WE-E-TRACK 1-3 | Remote MRI Physics During a Pandemic: Challenges and Opportunities K Vigen*, L Henze Bancroft, J Garrett, F Korosec, J Holmes, University of Wisconsin-Madison, Madison, WI |
| WE-IePD-TRACK 2-1 | Evaluation of the Feasibility of Universal Daily CT QC Protocols and Limits Across Different Manufacturers and Models T Lin*, K Hamacher, Columbia University Irving Medical Center, New York, NY |
| WE-IePD-TRACK 2-7 | Assessing the Viability of Establishing Patient Dose Tables in Pediatric Radiography by Mining Quality Control Data D Beaulieu*, D Kim, D Zhang, Boston Children's Hospital, Boston, MA |
| WE-IePD-TRACK 6-2 | Leveraging a Multi-Institutional Consortium to Understand Dose Accuracy in the Near-Surface Region for Whole Breast Irradiation A Moncion1*, M Wilson2, R Ma3, R Marsh1, J Burmeister4, D Dryden5, D Lack6, M Grubb1, A Mayville7, P Jursinic8, K Dess4, J Kamp3, K Young5, J Dilworth6, R Jagsi1, M Mietzel1, F Vicini2, L Pierce1, J Moran1, on behalf of the Michigan Radiation Oncology Quality Consortium (1) University of Michigan Medical Center, Department of Radiation Oncology, Ann Arbor, MI, (2) Michigan Health Professionals, Radiation Oncology Institute, Farmington Hills, MI, (3) Sparrow Health Systems, Department of Cancer Care and Oncology, Lansing, MI, (4) Wayne State University, Karmanos Cancer Center, Detroit, MI, (5) Covenant HealthCare, Covenant Radiation Center, Saginaw, MI, (6) Beaumont Health, Beaumont Cancer Center, Troy, MI, (7) Mercy Health, Lacks Cancer Center, Grand Rapids, MI, (8) West Michigan Cancer Center, Kalamazoo, MI |
| WE-IePD-TRACK 6-3 | Modeling the Geometric Relationship Between Targets and OARs for Patient-Specific Plan Quality Evaluation in Head and Neck Radiotherapy E Aliotta*, C Della-Biancia, K Ohri, M Aristophanous, Memorial Sloan Kettering Cancer Center, New York, NY |