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| BReP-SNAP-I-4 | An Auto-Accessing Method for Reducing the Reading Time of Digital Breast Tomosynthesis with a Synthetic Mammogram H Kim*, S Cho, KAIST, Daejeon, KR |
| BReP-SNAP-I-13 | Dedicated Breast CT: Comparative Evaluation of Multi-Scale Residual Dense Network and Residual Encoder-Decoder Network for Deep Learning-Driven Sparse-View Reconstruction Z Fu, H Tseng, S Vedantham*, A Karellas, A Bilgin, University of Arizona, Tucson, AZ |
| BReP-SNAP-I-29 | Investigating Using Water Inversion Recovery (IR) to Resolve the Olefinic Resonance From Water in Breast In Vivo with Magnetic Resonance Spectroscopy at 3T CJ Fallone1*, A Yahya1,2, (1) Department of Oncology, University of Alberta, Edmonton, AB, CA, (2) Department of Medical Physics, Cross Cancer Institute, Edmonton, AB, CA |
| BReP-SNAP-M-23 | Automatic Location and Size Selection of Round Applicators for AccuBoost Treatments F West1,2*, S Roles1,2, J Patrick2,3, R Munbodh2,3, M Rivard2,3, J Hepel2,3, K Leonard2,3, D Wazer2,3, Z Saleh2,3, (1) University of Rhode Island, Kingston, RI, (2) Rhode Island Hospital, Providence, RI, (3) Warren Alpert Medical School of Brown University, Providence |
| BReP-SNAP-M-25 | Automatic Tumor and Multi-Organ Segmentation Technique in CT Based On Deep Learning for Radiation Therapy After Breast-Conserving Surgery J Lee1*, H Cho1*, S Ye1, D Choi2, W Park2, H Kim2, W Cho2, H Kim2, (1) Seoul National University, Seoul, 41, KR, (2) Samsung Medical Center, Seoul, 41, KR (*J Lee and H Cho contributed equally to this work.) |
| BReP-SNAP-M-40 | Commissioning and Performance Testing of the First Prototype of AlignRT InBore, a Halcyon™-Dedicated Surface Guided Radiation Therapy Platform D NGUYEN1*, J Farah2, J Hughes2, P Mathieu2, N Barbet1, M Khodri1, (1) Radiotherapy centers of ORLAM group, Macon, FR, (2) Vision Rt Ltd, Dove House, Arcadia avenue London, UK |
| BReP-SNAP-M-124 | Real Time Monitoring of Anatomy During IMRT and VMAT Breast Radiotherapy Using EPID Imaging B Zwan1*, C Stanton1, H Byrne2, A Briggs, J Booth1, P Keall2, (1) Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, NSW, AU, (2) The University of Sydney, Sydney, NSW, AU. |
| BReP-SNAP-T-12 | A Method for Automatic Optimization of Breast Electronic Tissue Compensation Treatment Plans Based On the Breast Radius and Separation A Podgorsak1,2*, L Kumaraswamy3, (1) University at Buffalo, Buffalo, NY, (2) Roswell Park Comprehensive Cancer Center, Buffalo, NY, (3) Novant Health, Winston-Salem, NC |
| BReP-SNAP-T-41 | Development and Customization of the RayStation Automatic Breast Planning Module: A Program to Adapt the Provided Module to Suit Clinical Needs C Collins*, M Kaluarachchi, E Yu, J Hepel, M Schwer, Brown University Warren Alpert Medical School/Rhode Island Hospital, Providence, RI |
| BReP-SNAP-T-85 | Improving Uncertainty in GammaPod Dose Through the Use of ND,w and IAEA TRS 483 B Yi*, S Becker, Univ. of Maryland School Of Medicine, Baltimore, MD |
| BReP-SNAP-T-122 | Robustness of Three Treatment Modalities Against Inter-Fractional Positional Variations of the Metal Port in Breast Tissue Expanders K Mayorov1*, E Ali2, (1) Carleton University, Ottawa, ON, CA, (2) The Ottawa Hospital Cancer Centre, Ottawa, ON, CA |
| PO-GeP-I-72 | Deep Learning-Based Model Observer for Image Quality Evaluation of Digital Breast Tomosynthesis S Choi1*, S Choi2, H Kim3, (1) Yonsei University, Wonju, Gangwon, KR, (2) Emory University School of Medicine, Atlanta, GA, (3) Yonsei University, Wonju, Gangwon, KR |
| PO-GeP-I-85 | Development of An Optical/micro-CT Specimen Imaging System Optimized for Breast Conserving Surgery B Maloney1*, S Streeter1, M Jermyn1, M Gesner2, P Travis2, J Kempner2, J Meganck2+, K Paulsen1,3,4, B Pogue1,3,4, (1) Thayer School of Engineering, Dartmouth College, Hanover, NH, (2) PerkinElmer, Hopkinton, MA, (3) Geisel School of Medicine, Dartmouth College, Hanover, NH, (4) Norris Cotton Cancer Center, Lebanon, NH (+) Currently: Boston Scientific, Marlborough, MA |
| PO-GeP-I-108 | Evaluating Breast Tomosynthesis with a Multi-Projection Observer for Arbitrary Lesion Shapes JG Mainprize*, MJ Yaffe, Sunnybrook Research Institute, Toronto, ON, CA, |
| PO-GeP-I-156 | Novel Radiotherapy Application of Eulerian Amplification for Predicting Skin Erythema R Culcasi*, M Snyder, William Beaumont Hospital, Royal Oak, MI |
| PO-GeP-I-182 | Quantitative MR Imaging Features Associated with Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Patients J Jimenez*, A Abeer, N Elshafeey, J Yung, J Hazle, G Rauch, UT MD Anderson Cancer Center, Houston, TX |
| PO-GeP-I-185 | Real Time Image Reconstruction Technique for Digital Breast Tomosynthesis-Guided Needle Biopsy P Singh1*, C Choi2, T Vent2, A Maidment3, (1) Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, (2) Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, (3) Department of Radiology, University of Pennsylvania, Philadelphia, PA |
| PO-GeP-I-218 | Tracking Breast Target Motion with 3D Surface Imaging During Deep-Inspiration Breath-Hold (DIBH): Use of An Evidence-Based Region of Interest (ROI) Y Song*, B Mueller, P Tamas, M Zhang, L Hong, L Braunstein, Memorial Sloan Kettering Cancer Center, New York, NY |
| PO-GeP-I-221 | Tumor-Specific 99mTc-Sestamibi Quantification in Molecular Breast Imaging with Monte Carlo Simulation B Lopez*, F Guan, G Rauch, S Kappadath, University of Texas MD Anderson Cancer Center, Houston, TX, USA |
| PO-GeP-I-223 | Upright Dedicated Cone-Beam Breast CT: Short-Scan, Non-Uniform, Sparse-View Angular Sampling for Radiation Dose Reduction H Tseng, S Vedantham*, A Karellas, University of Arizona, Tucson, AZ |
| PO-GeP-M-83 | Automatic Tumor Segmentation in Digital Breast Tomosynthesis Using U-Net A Qasem1*, G Qin2, J Wang3, Z Zhou4, (1) University of Central Missouri, Warrensburg, MO, (2) Southern Medical University, Guangzhou, ,CN, (3) UT Southwestern Medical Center, Dallas, TX, (4) University Of Central Missouri, Warrensburg, MO |
| PO-GeP-M-98 | Clinical Evaluation of Atlas and Deep Learning-Based Automatic Contouring of Multiple Organs at Risk and Clinical Target Volumes for Breast Cancer M Choi1*, B Choi2, S Chung3, N Kim4, J Chun5, Y Kim6, J Chang7, J Kim8, (1) Department of Radiation Oncology, Yonsei Cancer Center, Seoul, KR, (2) Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, KR, (3) Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, KR, (4) Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, KR, (5) Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, KR, (6) Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, KR, (7) Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, KR, (8) Department of Radiation Oncology, Yonsei Cancer Center, Seoul, KR |
| PO-GeP-M-141 | Deformable Image Registration of Diagnostical CT and Planning CT for Breast Conserving Radiotherapy X Xie*, H Yan, J Dai, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, CN |
| PO-GeP-M-175 | Dosimetric Planning Comparison for Left-Sided Breast Cancer Radiotherapy: 4DCT Vs Deep-Inspiration Breath-Hold O Chau*1,2, H Fakir1,2, M Lock1,2, R Dinniwell1,2, F Perera1,2, A Erickson1, S Gaede1,2,(1) London Regional Cancer Program, London, ON,CA,(2) Western University, London, ON, CA |
| PO-GeP-M-388 | Study On Intelligent Treatment Planning for Left Breast Cancer X He*1, B Su2, R Zhao2, (1)Ruijin Hospital and Shanghai Jiaotong University School of Medicine,Shanghai,CN (2) Shanghai Pulmonary Hospital and Tongji University School of Medicine,Shanghai,CN |
| PO-GeP-M-437 | Young-S Modulus Reconstruction From Ultrasound Breast Images C Rabin*, N Benech, Facultad de Ciencias - Universidad de la Republica Montevideo UY |
| PO-GeP-P-73 | An Exploratory Study On Obtaining Optimal Parameters Of Intensity Modulated Radiotherapy Treatment Plans For Breast Cancer Using Ideal DVH X Lin*, Y Yin, T Sun, Shandong cancer hospital and institute,Shandong first medical university and shandong academy of medical sciences, Jinan, ShandongCN, |
| PO-GeP-T-16 | A Cost-Effective Solution to Providing Bio-Positional Feedback To DIBH Patients Treated with Surface Guided Radiation Therapy M Reyhan*, B Swann, K Greene, M McKenna, R Singh, N Yue, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ |
| PO-GeP-T-20 | A Dosimetric Analysis of the Impact of Patient Motion On Occurrence and Volume of Radiation Pneumonitis B Zhou*1, M Chen2, F-F Yin1,3, X Chen1, (1) Duke Kunshan University, Kunshan, Jiangsu (2) Kunshan First People Hospital, Kunshan, Jiangsu, (3) Duke University, Durham, NC |
| PO-GeP-T-64 | A Quantitative Relationship Relating Seed Placement Accuracy and Dosimetry in Permanent Breast Seed Implant Brachytherapy A Guebert1,2*, M Roumeliotis1,2, T Meyer1,2, S Quirk1,2, (1) University of Calgary, Calgary, AB, CA, (2) Tom Baker Cancer Centre, Calgary, AB, CA |
| PO-GeP-T-76 | Accelerated Partial Breast Irradiation On Halcyon Linac K Yun*, J Snyder, M Bernard, D Pokhrel, University of Kentucky, Lexington, KY |
| PO-GeP-T-83 | Actual Dose of Breast TARGIT A Clinical Trial with Intrabeam IORT for a Realistic Spherical Target Volume H Zhang*, Northwestern Memorial Hospital, Chicago, IL |
| PO-GeP-T-115 | Applying Cloud-Based Technology and Multi-Institutional Participation to Guide Best Practice in Treatment Planning S Quirk1*, H Morrison2, N Logie1, P Grendarova1, T Phan1, K Long2, D Graham2, T Meyer1, B Nelms3, M Roumeliotis1, (1) University of Calgary, Calgary, AB, Canada, (2) Tom Baker Cancer Centre, Calgary, AB, Canada, (3) Canis Lupus LLC, Merrimac, WI |
| PO-GeP-T-165 | Can We Use a Decay Plan for GammaPod APBI Treatments? M Guerrero*, B Zhang, E Nichols, S Becker, Univ. of Maryland School Of Medicine, Baltimore, MD |
| PO-GeP-T-166 | Cardiac Dose Control and Optimization Strategy for Left Breast Cancer Radiotherapy with Non-Uniform VMAT Technology S Zhang, Z Pan, J Qiu*, Department of Radiation Oncology, Fudan University Huadong Hospital, Shanghai, 21 |
| PO-GeP-T-208 | Comparing Chest and Abdominal Patient Monitoring and Visual Feedback Systems for Deep Inspiration Breath Hold: Results From the BRAVEHeart Clinical Trial H Byrne1*, C Stanton2, B Zwan2, E Steiner3, K Makhija1, J Atyeo2, K Richardson2, L Ambrose2, R Bromley2, J Booth2,4, M Morgia2, G Lamoury2, P Keall2, (1) Central Clinical School, The University of Sydney, Eveleigh, NSW, AU, (2) Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, NSW, AU, (3) Landesklinikum Wiener Neustadt, Wiener Neustadt, 3, DE (4) Institute of Medical Physics, School of Physics, University of Sydney, Sydney, NSW, AU |
| PO-GeP-T-246 | Controlled Modulation Planning Techniques in Intensity Modulated Proton Therapy (IMPT) for Breast Cancer J Yu*, A Gutierrez, M Fagundes, Miami Cancer Institute, Miami, FL |
| PO-GeP-T-252 | Custom Bolus Fabrication Process Improvement with Thermoplastic and CNC Machined Molds M Lafreniere*, A Villa, E Hirata, M Sharma, K Hasse, E Lam, M Descovich, University of California San Francisco, San Francisco, CA |
| PO-GeP-T-321 | Dosimetric Assessment of Transparent Polymer-Gel Type Bolus for Commonly Used Breast Treatment Delivery Techniques D Fiedler*, S Hoffman, J Roeske, H Kang, Loyola Univ Medical Center, Maywood, IL |
| PO-GeP-T-328 | Dosimetric Comparison of Hybrid Plan, 3DCRT and VMAT in Patients with Left-Sided Breast Cancer S Ahn1*, E Ju1,2, N Jung1, Y Kim2, (1) Department of Radiation Oncology, Kangwon National University Hospital, Chuncheon-si, Republic of Korea, (2) Department of Bio-medical Science, Graduate School of Korea University, Sejong, Republic of Korea, (3) Department of Radiation Oncology, Asan Medical Center, Seoul, Republic of Korea |
| PO-GeP-T-338 | Dosimetric Evaluation of 3 and 4 Field Radiation Therapy of Breast Cancer S Dang*, E Osei, J Darko, Grand River Hospital, Kitchener, ON, CA. |
| PO-GeP-T-341 | Dosimetric Evaluation of Forwarding-Optimizing-Fluence-Script and Hybrid IMRT Planning Techniques for Whole Left Breast Treatment D Wang1*, M Weiss1, H Perlingiero1, M Kalman1, Y Hu1,2, A Denittis1,3, (1) Lankenau Hospital, Wynnewood, PA, (2) Bryn Mawr Health Center, Wynnewood, PA, (3) Lankenau Institute For Medical Research |
| PO-GeP-T-347 | Dosimetric Impact of TG43 Formalism Versus Monte Carlo in HDR Breast Cancer Brachytherapy V Turgeon1*, B Bahoric1, M Morcos2, S Abbasinejad Enger2-5, (1) Montreal Jewish General Hospital, Montreal, QC, CA, (2) Medical physics unit, McGill university, Montreal, QC, CA, (3) Department of oncology, McGill University, Montreal, QC, CA, (4) Research Institute of the McGill University health center, Montreal, QC, CA, (5) The Seal cancer center Lady Davis Institute for medical research, Montreal, QC, CA, |
| PO-GeP-T-349 | Dosimetric Implications for Post-Mastectomy Radiation Treatment (PMRT) with AlloX2 Tissue Expander J Pan1*, M Lafreniere2, J Yang3, E Hirata4, M Sharma5, (1) UCSF Medical Center, Millbrae, CA, (2) Department of Radiation Oncology at UCSF, San Francisco, CA, (3) University Of California, San Francisco, ,,(4) University of California San Francisco, San Francisco, CA, (5) University of California San Francisco, Albany, CA |
| PO-GeP-T-376 | Empirical Investigation of Dosimetric Effects of Biozorb Markers for Proton Accelerated Partial Breast Irradiation M Parham, S Ahmad, H Jin*, University of Oklahoma Health Sciences Center, Oklahoma City, OK |
| PO-GeP-T-472 | Gamma Testing Results On MC Vs PB Algorithms On Intensity-Modulated Proton Therapy for Breast Cancer Treatment C Liu1,3*, D Zheng2, J Bradley1, R Mailhot Vega1, Z Li1, N Mendenhall1, X Liang1, (1) Department of Radiation Oncology, University of Florida College of Medicine, Jacksonville, FL, (2) University of Nebraska Medical Center, Omaha, NE, (3)School of Physical Sciences, University of Science and Technology of China, Hefei, China |
| PO-GeP-T-555 | Jaw Tracking VMAT: A Robust Option in Delivering Whole Breast Radiotherapy with a Simultaneously-Integrated Boost (WBRT+SIB) K Guida*, J Coster, S Howard, V Radice, University of Kansas Cancer Center, Kansas City, KS |
| PO-GeP-T-556 | Knowledge-Based RapidPlan Models for Left and Right Breast Using RapidArc O Apaza*, A Garcia, M Almada, C Venencia, Instituto Zunino - Fundacion Marie Curie, Cordoba, ARGENTINA |
| PO-GeP-T-602 | Non-Coplanar VMAT Improves Plan Quality for Locoregional Radiotherapy of Left-Sided Breast Cancer with Internal Mammary Nodes Y Xu*, Y Xu, Z Hu, Y Tian, P Ma, K Men, S Wang, J Dai, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, BeijingCN, |
| PO-GeP-T-644 | Possible to Treat with Lower Energy? Tangential Whole Breast Irradiation with Electronic Tissue Compensation Technique S Wisnoskie1*, D Zheng1, A Wahl1, N Bennion1, A Granatowicz1, X Liang2, S Zhou1, (1) University of Nebraska Medical Center, Omaha, NE, (2) University of Florida, Jacksonville, FL |
| PO-GeP-T-660 | Prone Breast Plans with Wedged Fields to Remove the Need for Breast Board Subfields A Lee*, D Pearson, A Wilkinson, University of Toledo, Toledo, OH |
| PO-GeP-T-783 | The Influence of Respiratory Motion On Dose Distribution in VMAT-APBI R Yamauchi*, N Mizuno, T Itazawa, J Kawamori, Department of Radiation Oncology, St. Lukes International Hospital, Tokyo, JP |
| PO-GeP-T-827 | Using Flattening Filter Free (FFF) Beams in Electronic Tissue Compensation (ECOMP) Whole Breast Irradiation with Deep Inspiration Breath Hold (DIBH) for Left Sided Breast Cancer S Wisnoskie1*, D Zheng1, A Wahl1, N Bennion1, A Granatowicz1, X Liang2, S Zhou1, (1) University of Nebraska Medical Center, Omaha, NE, (2) University of Florida, Jacksonville, FL |
| PO-GeP-T-846 | Validation the Robustness of Breast Intensity-Modulated Proton Plans Against Setup Errors X Liang1*, D Zheng2, R Mailhot Vega, Z Li, N Mendenhall, J Bradley, (1) Department of Radiation Oncology, University of Florida College of Medicine, Jacksonville, FL (2) University of Nebraska Medical Center, Omaha, NE |
| PO-GeP-T-847 | Varian Halcyon/Ethos for Breast Radiotherapy C Stanton*, B Zwan, A Lee, B Griffiths, K Wu, K Richardson, R Bromley, M Morgia, G Lamoury, S Carroll, Northern Sydney Cancer Centre, Sydney, AUS |
| TH-A-TRACK 5-4 | Investigation of Tumor Bed Delineation Accuracy for Targeted Breast Radiation Therapy Following Oncoplastic Surgery G Aldosary1*, J Caudrelier2, T Tse3, A Arnaout3, C Foottit4, J Belec4, E Vandervoort1,4, (1) Department of Physics, Carleton University, Ottawa, ON, Canada, (2) Department of Radiation Medicine, The Ottawa Hospital Cancer Centre, Ottawa, ON, Canada, (3) Department of General Surgery, The Ottawa Hospital, Ottawa, ON, Canada, (4) Department of Medical Physics, The Ottawa Hospital Cancer Centre, Ottawa, ON, Canada |
| TH-D-TRACK 1-6 | Advancements in Radar-Based Breast Microwave Imaging at the University of Manitoba: Phantom Development, Image Reconstruction, and Machine Learning Applications T Reimer*, S Pistorius, University of Manitoba, Winnipeg, MB, Canada |
| TH-D-TRACK 4-1 | Intra-Surgical Imaging with Optical Structured Light and Micro-CT to Reduce Positive Margin Rate in Breast Conserving Surgery B Maloney1*, S Streeter1, K Paulsen1,2,3, B Pogue1,2,3, W Wells2,3,4, R Barth2,3,4, (1) Thayer School of Engineering, Dartmouth College, Hanover, NH, (2) Geisel School of Medicine, Dartmouth College, Hanover, NH, (3) Norris Cotton Cancer Center, Lebanon, NH, (4) Dartmouth Hitchcock Medical Center, Lebanon, NH |
| TU-A-TRACK 1-0 | The Robots Are Coming! AI for Breast Imaging Interpretation L Hadjiiski1*, I Sechopoulos2*, (1) University of Michigan, Ann Arbor, MI, (2) Radboud University Medical Centre, Nijmegen, NL |
| TU-A-TRACK 1-1 | Breast cancer detection and characterization in the era of AI L Hadjiiski1*, I Sechopoulos2*, (1) University of Michigan, Ann Arbor, MI, (2) Radboud University Medical Centre, Nijmegen, NL |
| TU-A-TRACK 1-2 | Evaluation and Optimization of AI for breast imaging: What can it do, and how good is it? L Hadjiiski1*, I Sechopoulos2*, (1) University of Michigan, Ann Arbor, MI, (2) Radboud University Medical Centre, Nijmegen, NL |
| TU-B-TRACK 1-2 | Comparison of Radiologists Reading Errors Between Digital Mammography and Breast Tomosynthesis R Nishikawa1*, N D'Ardenne2, C Wu3, J Wolfe4, (1) University of Pittsburgh, Pittsburgh, PA, (2) University of Pittsburgh, Pittsburgh, PA, (3) Harvard University, ,,(4) Harvard University, |
| TU-B-TRACK 1-3 | Protocol Optimization for Microcalcification Detectability in Breast CT: A Phantom Study Using Model Observers A Hernandez1*, A Becker2, S Lyu2, C Abbey3, J Boone1,4, (1) Department of Radiology, University of California Davis, (2) Biomedical Engineering Graduate Group, University of California Davis, (3) Department of Psychological & Brain Sciences, University of California Santa Barbara, (4) Department of Biomedical Engineering, University of California Davis |
| TU-B-TRACK 1-4 | Breast Glandular Tissue Volume and Volumetric Glandular Ratio Using Dual-Energy Mammography J Castillo-lopez2, Y Villasenor-navarro2, M Brandan1, G Pacheco-guevara1*, (1) Instituto de Fisica, UNAM, Mexico City, MX (2) Instituto Nacional de Cancerologia, Mexico City, MX |
| TU-B-TRACK 1-6 | Multiscale Monte Carlo Simulations for Advanced X-Ray Breast Imaging: Dosimetric Studies R Trevisan Massera1,2*, A Tomal1, R Thomson2, (1) University of Campinas, BR,(2) Carleton Univ, Ottawa, ON |
| TU-C-TRACK 3-5 | SIB-VMAT for Left-Breast DIBH Patients On Halcyon Linac: A Novel Approach to Integrate Electron Breast Boost Dose in the Primary Beams J Snyder*, M Bernard, D Pokhrel, University of Kentucky, Lexington, KY |
| WE-E-TRACK 1-0 | Hot Topics in Breast MRI K Kulkarni1*, J Mcdonald2*, F Pineda1*, (1) University of Chicago, Chicago, IL, (2) Mayo Clinic, Rochester, MN |