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A B C D E F G H I J K L M N O P Q R S T U V W X Y Z # | show all

Keywords: optimization
BReP-SNAP-I-3Algorithm for Optimization of the X-Ray Beam and Filter Parameters in Dual-Energy Imaging Systems
I Romadanov1*, M Sattarivand2, (1) Nova Scotia Health Authority, Halifax, NS, CA, (2) Nova Scotia Cancer Centre, Halifax, NS, CA
BReP-SNAP-I-23Impact of a High Power Tube On Optimal KVp Selection in Function of Patient Size
G Van Gompel*, N Buls, H Nieboer, J De Mey, Universitair Ziekenhuis Brussel, Brussels, Belgium, BE
BReP-SNAP-M-14A Patient Risk Model to Determine the Optimal Frequency of Quality Control for Radiotherapy Machines
M Ma*, J Dai, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing,100021,China
BReP-SNAP-M-76From Fluence to Dose: Real-Time Adaptive MLC Tracking Using Dose Optimization
L Mejnertsen1*, E Hewson1, D Nguyen1,2, J Booth3,4, P Keall1, (1) ACRF Image-X Institute, The University of Sydney, Camperdown, NSW, AU, (2) School of Biomedical Engineering, University of Technology Sydney, NSW, AU, (3) Royal North Shore Hospital, Sydney, NSW, AU, (4) Medical Physics, School of Physics, University of Sydney, Camperdown, NSW, AU.
BReP-SNAP-M-145Two-Step Subspace Mapping Based Diaphragm Displacement Prediction by Markerless Abdominal Surface Measurement
H Yu*1,2, E Zhang2, S Yu2, Z Yang2, L Ma2, M Chen2, X Gu2, W Lu2, (1) Xidian University, Shaanxi, China, (2) UT Southwestern Medical Center, Dallas, TX
BReP-SNAP-M-148Using An Independent Dose Calculation System to Optimize Clinical Thresholds and Reduce the Number of Physical Dose Measurements Required for Patient-Specific Quality Assurance
K Hasse*, B Ziemer, Y Natsuaki, G Valdes, E Hirata, T Solberg, J Scholey, A Witztum, UCSF Comprehensive Cancer Center, San Francisco, CA
BReP-SNAP-T-4A Beamlet-Free Algorithm for Efficient Optimization of Proton Therapy Plans Based On Monte Carlo Simulations
K Souris1*, A Barragan Montero1, G Buti1, M Cohilis1, S Wuyckens1, G Janssens2, E Sterpin1,3, J Lee1, (1) UCLouvain / MIRO, Brussels, Belgium, (2) IBA s.a., Louvain-la-Neuve, Belgium, (3) KULeuven, Leuven, Belgium
BReP-SNAP-T-9A Flexible Projection-Based Non-Convex Inverse Planning Algorithm for Intensity-Modulated Proton Therapy
M Brooke1*, Y Censor2, A Gibali3, S Penfold4, R Schulte5, F Van den Heuvel1, (1) CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford, GB, (2) University of Haifa, Haifa, IL, (3) ORT Braude College, Karmiel, IL, (4) University Of Adelaide, Adelaide, AUS, (5) Loma Linda University, Loma Linda, CA
BReP-SNAP-T-19Accelerated Multi-Criterial Optimization for Pancreas SBRT Using Machine-Learning Dose Prediction
P. James Jensen*, Jiahan Zhang, Q. Jackie Wu, Duke University Medical Center, Durham, NC
BReP-SNAP-T-22Adaptive Stereotactic Abdominal Plan Quality and Fidelity Evaluation On Ethos
E Laugeman*, Y Hao, Z Jiang, G Hugo, S Mutic, H Kim, L Henke, B Cai, Washington University School of Medicine, St. Louis, MO
BReP-SNAP-T-36Comparison of Pareto Surface Interpolations for Multi-Criterial Optimization Algorithm Evaluation
P. James Jensen1,2*, Jiahan Zhang2, Q. Jackie Wu2, (1) Duke University Medical Center, Durham, NC, (2) Duke University Medical Center, Durham, NC
BReP-SNAP-T-75Hybrid Direct Aperture Optimization for VMAT, Dynamic Trajectory Radiotherapy (DTRT) and Dynamic Mixed Beam Radiotherapy (DYMBER)
S Mueller1*, N Torelli1, A Duetschler1, O Elicin1, D M Aebersold1, M F M Stampanoni2, M K Fix1, P Manser1, (1) Inselspital, Bern University Hospital, and University of Bern, Bern, CH, (2) ETH Zurich and PSI, Villigen, CH
BReP-SNAP-T-84Improving Plan Quality Through Automation of Treatment Planning Processes Using Scripting in RayStation
G Jarry*, M Ayles, M Brunet-Benkhoucha, D Martin, Hopital Maisonneuve-Rosemont, Montreal, CA,
BReP-SNAP-T-117Prioritizing Patient-Specific Geometry: Beam Angle Optimization in Stereotactic Radiosurgery
T Mann*, N Ploquin, K Thind, Tom Baker Cancer Center/University of Calgary, Calgary, AB
BReP-SNAP-T-132Towards a Treatment Planning Optimization Framework Utilizing Predicted Quality Assurance Outcomes From a Machine Learning Model to Maximize Plan Quality and Deliverability
P Wall1*, J Fontenot1,2, (1) Louisiana State University, Baton Rouge, LA, (2) Mary Bird Perkins Cancer Center, Baton Rouge, LA
BReP-SNAP-T-1514Pi Optimization to Compare Single Versus Multiple Gaze Angle Selection in Ocular Proton Therapy
E Fleury1 2*, C Thomas3 4, B Little3, JW Beenakker5, JP Pignol3 4, P Trnkova1 6, M Hoogeman1 2, (1) Erasmus Medical Center, Rotterdam, The Netherlands (2) Holland Proton Therapy Center, Delft, The Netherlands (3) Dalhousie University, Halifax, Canada (4) Queen Elizabeth II Health Sciences Centre, Halifax, Canada (5) Leiden University Medical Center, Leiden, The Netherlands (6) Medizinische Universitat Wien, Vienna, Austria
MO-CD-TRACK 1-3Multi-Ion Therapy: Development, Validation and Clinical Direction of a Novel Particle Treatment Modality
S Mein1,2*, B Kopp1,2, I Dokic1,2, S Harrabi1, TT Boehlen3, T Haberer1, J Debus1,2, A Abdollahi1,2, A Mairani1,4 (1) Heidelberg Ion-beam Therapy Center (HIT), Heidelberg, DE, (2) German Cancer Research Center (DKFZ), Heidelberg, DE, (3) Center for Proton Therapy, Paul Scherrer Institute (PSI), Villigen, Switzerland, (4) National Centre of Oncological Hadrontherapy (CNAO), Pavia, Italy
MO-EF-TRACK 3-4ROAD: ROtational Direct Aperture Optimization with a Decoupled Ring-Collimator for FLASH
Q Lyu1*, R Neph1, D O'Connor2, D Ruan1, S Boucher3, K Sheng1, (1) UCLA School of Medicine, Los Angeles, CA, (2) University of San Francisco, San Francisco, CA, (3) Radiabeam Technologies, Santa Monica, CA
PO-GeP-I-56Comparing Radiation Output and Image Quality Between Factory-Default and Clinically-Used Protocols for a Single-Plane Flat-Panel-Detector Based Fluoroscopy System: A Call for Optimizing Equipment Performance
J Dave1*, (1) Thomas Jefferson University, Philadelphia, PA
PO-GeP-I-96Dual Energy CT Protocol Optimization for Increased Blood Detectability of Virtual Non-Contrast Images in a Single Source Dual Energy CT System: A Phantom Study
C Olguin*, S Leon, I Barreto, R De Jesus, M Arreola, University of Florida College of Medicine, Gainesville, FL
PO-GeP-I-162Optimizing Imaging Angles in CBCT
Z Hui*, O Dillon, University of Sydney, Sydney, NSW, AU
PO-GeP-I-222Understanding the Interdependent Relationship Between Radiation Dose and Iterative Reconstruction Strength in Abdominal CT Using a Live Animal Model
H Ganesh*, F Raslau, C Adams, E Escott, J Zhang, University of Kentucky, Lexington, KY
PO-GeP-M-69Assessment of Bone Electron Density Effects On Dose Calculation and Optimization Accuracy for MRI-Only Treatment Planning for Cervical Carcinoma in 1.5 T MR-Linac
S Ding1,2*, H Liu1,2, Y Li1,2, B Wang1,2, B Liu1,2, X Qi1,2, X Cao1,2, X HUANG1,2, (1) Sun Yat-sen University Cancer Center, Guangzhou,CN, (2) State Key Laboratory of Oncology in South China,Guangzhou,CN
PO-GeP-M-114Comparison of Daily Plan Adaptation Strategies On a Cohort of Pancreatic Cancer Patients Treated with SBRT
A Magallon-Baro*, M Milder, P Granton, J Nuyttens, M Hoogeman, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Radiotherapy, the Netherlands
PO-GeP-M-142Delay-Line Based Optical Reservoir Computing Towards Real-Time Respiratory Motion Prediction
Z Liang1, C Shi2, X Tang3*, J Li4, X Shen5, Z Huang6, (1) Rensselaer Polytechinic Institute, Troy, NY, (2) Memorial Sloan Kettering Cancer Center, Marlboro, NJ, (3) Yale New Haven Hospital, New Haven, CT, (4) Rensselaer Polytechnic Institute, Troy, NY, (5) Rensselaer Polytechnic Institute, New York, NY, (6) Rensselaer Polytechnic Institute, Troy, NY
PO-GeP-M-407Towards a Mathematical Framework to Address Uncertainty, Adaptation Cost and Tractability in Robust Adaptive Radiation Therapy
M Boeck*, Brigham and Women's Hospital, Boston, MA, Dana-Farber Cancer Institute, Boston, MA, Harvard Medical School, Boston MA, KTH Royal Institute of Technology, Stockholm, Sweden, RaySearch Laboratories AB, Stockholm, Sweden
PO-GeP-P-39Overview of Published Diagnostic Reference Level Data for South Africa
C Trauernicht1*, (1) Tygerberg Hospital and Stellenbosch University, Cape Town, ,ZA
PO-GeP-P-52Is Average Body Diameter Helpful in Choosing Exposure Technique in PA Chest X-Ray?
H Ai1*, (1) Rush University Medical Center, Chicago, IL
PO-GeP-P-73An 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-15A Control-Theoretic Framework for Intra-Fraction Motion Management in MRI-Guided Radiotherapy
H Moazami Goudarzi1*, T Mazur2, S Mirzapour3, G Sharp4, E Salari5, (1) Wichita State University, Wichita, KS, (2) Washington University in St. Louis, St. Louis, MO, (3) Wichita State University, Wichita, KS, (4) Massachusetts General Hospital, Boston, MA, (5) Wichita State University, Wichita, KS
PO-GeP-T-28A Feasibility Study to Standardize Prostate Planning Using An MR-Guided Radiotherapy Platform
C Zatwarnicki*, I Zawisza, H Zhang, C Kota, Reading Hospital - Tower Health, West Reading, PA
PO-GeP-T-31A Method for Determining Optimal Arc Parameters in VMAT
B Perumal1*, H Etti2, V Ranganathan3, N Ramar4, G Joe Anto5, M S R6, (1) Philips health systems, Bangalore, Karnataka, IN, (2) Department Of Medical Physics, Bharathiar University, ,,(3) Philips Health Systems, ,,(4) Philips Health Systems, ,IN, (5) Philips Health Systems, ,,(6) Department of Physics, School of Advanced Sciences, Vellore Institute of Technology Vellore,
PO-GeP-T-72A Study On Active Scanning Path Optimization for Intensity Modulated Proton Therapy Based On Improved Adaptive Genetic Algorithm
Lian Zhang1, Wenjun Fan2*, Jun Han1, Jing Yang1, Xiaohui Zhu1, Biao Tu1, Zhiwen Liang and Sheng Zhang1, (1) Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, CN, (2) Department of Otolaryngology, Renmin Hospital of Wuhan University, Wuhan, Hubei, CN.
PO-GeP-T-95An Efficient Optimization Method for Prostate LDR Planning by Including Prior Knowledge
G Szalkowski1*, R Chen2, T Royce1, A Wang1, J Lian1, (1) University of North Carolina at Chapel Hill, Chapel Hill, NC, (2) University Of Kansas
PO-GeP-T-100An Intelligent IMRT Optimization Method Based On Radiobiological Effects Oriented by Dose Prediction
X Lu1*, Y Li2, A Wu1, M Qi1, Y Liu1, L Zhou1, T Song1, (1) Southern Medical University, Guangzhou, Guangdong, CN, (2) Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, CN
PO-GeP-T-106Analysis of a Machine Learning Based Planning Tool for Parotid Dose Prediction and Sparing
N Shaheen*, R Bayliss, P Hill, University of Wisconsin, Madison, WI
PO-GeP-T-160Brachytherapy LDR Prostate Plans Robustness Test Based On Random Sampling
M Rodriguez1*, (1) British Columbia Cancer Agency, Victoria, BC, CA
PO-GeP-T-166Cardiac 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-188Clinical Implementation of a New a Single-Isocenter Multiple-Target Cranial Optimization Algorithm
C Knill*, R Sandhu, R Halford, L Lin, Z Seymour, I Grills, P Chinnaiyan, Beaumont Health System, Royal Oak, MI
PO-GeP-T-222Comparison of Forward-Planned and Inversely-Optimized Dose Distributions for Patients Treated Using An Hybrid Interstitial Gynecological Applicator Placed Under MRI Guidance for Treatment of Cervical Cancer
S Simiele1*, G Mcginnis2, M Cunningham1, C Starks1, L Colbert2, M Joyner2, L Lin2, A Jhingran2, P Eifel2, A Venkatesan3, A Klopp2, (1) Department of Radiation Physics, MD Anderson Cancer Center, Houston, TX, (2) Department of Radiation Oncology, MD Anderson Cancer Center, Houston, TX, (3) Abdominal Imaging Department, MD Anderson Cancer Center, Houston, TX
PO-GeP-T-242Constrained Optimization for Marker-Based Tumour Tracking in VMAT
A Omotayo*, B McCurdy, S Venkataraman, CancerCare Manitoba, Winnipeg, MB
PO-GeP-T-276Determination of the Optimal Fall-Off Value for the NTO in Centrally Located Lung Masses and Prostate Patients
M Gagne*, S James, C Huh, A Al-Basheer, Augusta University, Augusta, GA
PO-GeP-T-296Development of Energy Layer Optimization Considering Minimum MU Constraint for Single Field Optimization in Spot-Scanning Proton Therapy
S Hirayama1*, T Toshito2, S Fujitaka1, T Umekawa1, R Fujimoto3, A Ushikubo3, Y Nagamine3, K Hayashi4, H Ogino5, (1) Hitachi Ltd., Reserch & Development Group, (2) Department of Proton Therapy Physics, Nagoya Proton Therapy Center, Nagoya City West Medical Center, (3) Hitachi, Ltd. Smart Life Business Management Division,(4) Department of Proton Therapy Technology, Nagoya Proton Therapy Center, Nagoya City West Medical Center, (5)Department of Radiation Oncology, Nagoya Proton Therapy Center, Nagoya City West Medical Center
PO-GeP-T-320Dosimetric and NTCP Analysis of Hippocampus, Parotid and Lacrimal Glands Sparing After Whole Brain IMRT
M Oakey*, J Fenoli, K Wang, S Das, P Mavroidis, Univ North Carolina, Chapel Hill, NC
PO-GeP-T-339Dosimetric Evaluation of a Cone-Based and a MLC-Based Treatment Planning Technique for Multiple Brain Metastases Stereotactic Radiosurgery (SRS)
N Vallone1*, J Brindle1,2, Z Saleh1,2, M Schwer1,2, T Dipetrillo1,2, J Hepel1,2, T Kinsella1,2, K Leonard1,2, P Koffer1,2, E Yu1,2,Y Yang1,2, (1) Brown University, Providence, RI (2) Rhode Island Hospital, Providence, RI
PO-GeP-T-374Efficient Proton Arc Therapy with Column-Generation Planning
M Chen*, X Gu, W Lu, UT Southwestern Medical Center, Dallas, TX
PO-GeP-T-438Experimental Validation of Delivery of Robust Mixed-Beam Radiotherapy Plans
E Heath1*, S Mueller2, G Guyer2, A Duetschler2, M K Fix2, P Manser2, (1) Carleton Univ, Ottawa, ON, CA, (2) Inselspital, Bern University Hospital, and University Of Bern, Bern, CH
PO-GeP-T-471Fully Probabilistic Optimization Framework That Integrates Uncertainty in Target Volume Definition
G Buti1*, K Souris1, A M Barragan Montero1, J A Lee1, E Sterpin1,2, (1) Molecular Imaging, Radiotherapy & Oncology, Universite Catholique de Louvain, Brussels, BE Belgium, (2) Laboratory of Experimental Radiotherapy, Katholieke Universiteit Leuven, Leuven, BE Belgium
PO-GeP-T-478Hippocampal-Sparing in Whole-Brain Radiation Therapy: A New VMAT Treatment Planning and Optimization Technique
D Soultan*, M Smith, J Edds, H Saleh, H Saleh, Kansas University Medical Center, Department of Radiation Oncology, Kansas City, KS
PO-GeP-T-516Incorporating Total Treatment Time Into Butterfly Optimization for Vaginal Cylinder Brachytherapy
X Wu*, I Brezovich, S Shen, E Covington, D Stanley, R Popple, Univ Alabama Birmingham, Birmingham, AL
PO-GeP-T-522Integrating Knowledge-Based Models for An Enhanced Iterative Automated Treatment Planning Process
M Vaccarelli1,2*, J Baker3, (1) Hofstra University, Hempstead, NY, (2) Northwell Health, Lake Success, NY, (3) Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY
PO-GeP-T-589Monte Carlo Based Treatment Plan Optimization for Intensity Modulated Proton Therapy
R Kueng1, H A Loebner*1, S Mueller1, D Frei1, W Volken1, D M Aebersold1, M F M Stampanoni2, M K Fix1, P Manser1, (1) Inselspital, Bern University Hospital, and University of Bern, Bern, CH, (2) ETH Zurich and PSI, Villigen, CH
PO-GeP-T-614Optimisation Strategy and Conformity Guidance for Mono-Isocentre SRS VMAT of Targets
K Blythe*, D Eaton, Guys And St Thomas Nhs Foundation Trust
PO-GeP-T-618Optimization of Treatment Isocenter Location in Radiation Therapy to Minimize the Impacts of Rotational Uncertainties
T Cui1*, Y Zhou2, N Yue3, I Vergalasova4, Y Zhang5, J Zhu6, K Nie7, (1) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, (2) Fudan University Zhongshan Hospital, Shanghai, 31, CN, (3) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, (4) Rutgers, Cancer Institute of New Jersey, New Brunswick, NJ, (5) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, (6) Rutgers cancer institute of New Jersey, New Brunswick, NJ, (7) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ
PO-GeP-T-649Preclinical Feasibility and Evaluation of An IMRT Optimization Method That Directly Incorporates Personalized Radiosensitivity Models
D Polan1*, V Wu1, M Varsta2, D Owen1, M Epelman1, M Schipper1, M Matuszak1, (1) University of Michigan, Ann Arbor, MI, (2) Varian Medical Systems, Palo Alto, CA
PO-GeP-T-674Quality of Head and Neck VMAT Treatment Plans Transferred Between Machines
R Zakariaee*, J DeMarco, J Lewis, Z Zumsteg, B Fraass, Cedars-Sinai Medical Center, Los Angeles, CA
PO-GeP-T-692Rapid Hippocampal Sparing HyperArc VMAT Radiosurgery for Multiple Brain Metastases
A Palmiero*, L Critchfield, t hunter, W St Clair, M Randall, D Pokhrel, University of Kentucky, Lexington, KY
PO-GeP-T-712Robust Proton Plan Optimization Considering Geometrical and Biological Uncertainties
J Oden*, E Traneus, RaySearch Laboratories AB, Stockholm, SE
PO-GeP-T-775The Impact of Knowledge-Based Planning and Multicriteria Optimization On Treatment Planning Workflows
J Rogers*, M DiMascio, J Stanulus, W Ramer, A Boe, Atrium Health - Rock Hill and Lancaster Radiation Therapy, Indian Land, SC
PO-GeP-T-799Toward Automated Planning of Ventricular Tachycardia Cases
E Schreibmann1*, D Qian1, M Llyod2, K Higgins1, (1) Department of Radiation Oncology and Winship Cancer Institute of Emory University (2) Department of Radiology Emory University
PO-GeP-T-858Automated SBRT Planning Using Constrained Hierarchical Optimization: Three Year Clinical Experience with Over 1900 Patients
L Hong*, Y Zhou, Q Huang, J Yang, H Pham, J Mechalakos, M Hunt, J Deasy, M Zarepisheh, Memorial Sloan Kettering Cancer Center, New York, NY
TH-A-TRACK 5-7Robust Treatment Planning with Conformal Arc Informed VMAT (CAVMAT)
E Cullom1*, Z Gude1, Y Xia2, K Chuang2, Y Zlateva3, J Kirkpatrick3, F Yin3, J Adamson3, W Giles3, (1) Duke University, Durham, NC, (2) Duke Kunshan University, Zhubei City, HSQ, TW, (3) Duke University Medical Center, Durham, NC
TU-EF-TRACK 3-1BEST IN PHYSICS (THERAPY): Automated Proton Treatment Planning with Robust Optimization Using Constrained Hierarchical Optimization
V Taasti1*, L Hong2, J Deasy2, M Zarepisheh2, (1) MAASTRO Clinic,Maastricht, NL, (2) Memorial Sloan-Kettering Cancer Center, New York, NY
TU-EF-TRACK 3-13Reinforcement Learning for Fast and Intelligent Radiation Therapy Optimization
W Hrinivich*, J Lee, Johns Hopkins University, Baltimore, MD
WE-A-TRACK 3-5GPU-Accelerated Treatment Planning System for Intensity-Modulated Proton Therapy (IMPT)
J Shan*, W Wong, S Patel, S Schild, M Fatyga, W Liu, Mayo Clinic Arizona, Phoenix, AZ
WE-F-TRACK 4-0Diagnostic Imaging and 100 MSv+ Doses
W Sensakovic1*, M Rehani2*, M Lipford3*, T Szczykutowicz4*, (1) Mayo Clinic, Phoenix, AZ, (2) Massachusetts General Hospital, Boston, MA, (3) University of Wisconsin, Madison, WI, (4) University Wisconsin-Madison, Madison, WI
WE-F-TRACK 4-1Do patient receive 100mSv+ from diagnostic scanning?
W Sensakovic1*, M Rehani2*, M Lipford3*, T Szczykutowicz4*, (1) Mayo Clinic, Phoenix, AZ, (2) Massachusetts General Hospital, Boston, MA, (3) University of Wisconsin, Madison, WI, (4) University Wisconsin-Madison, Madison, WI
WE-F-TRACK 4-2Patients with over 100 mSv doses: Experience from large scale studies to assess the magnitude
W Sensakovic1*, M Rehani2*, M Lipford3*, T Szczykutowicz4*, (1) Mayo Clinic, Phoenix, AZ, (2) Massachusetts General Hospital, Boston, MA, (3) University of Wisconsin, Madison, WI, (4) University Wisconsin-Madison, Madison, WI
WE-F-TRACK 4-3Dose Reduction Opportunities in MDCT
W Sensakovic1*, M Rehani2*, M Lipford3*, T Szczykutowicz4*, (1) Mayo Clinic, Phoenix, AZ, (2) Massachusetts General Hospital, Boston, MA, (3) University of Wisconsin, Madison, WI, (4) University Wisconsin-Madison, Madison, WI
WE-F-TRACK 4-4Round-Table Discussion
W Sensakovic1*, M Rehani2*, M Lipford3*, T Szczykutowicz4*, (1) Mayo Clinic, Phoenix, AZ, (2) Massachusetts General Hospital, Boston, MA, (3) University of Wisconsin, Madison, WI, (4) University Wisconsin-Madison, Madison, WI