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Taxonomy: Education: Analysis
MO-E115-GePD-F2-2 | Radiomics-Based Outcome Prediction Model Development ForPancreatic Cancer D Zheng1*, M Baine1 , C Zhang2 , Q Du2 , X Liang3 , A Kamal1 , H Yu2 , (1) University of Nebraska Medical Center, Omaha, NE, (2) University of Nebraska Lincoln, Lincoln, NE, (3) University of Florida, Jacksonville, FL |
MO-E115-GePD-F2-4 | Longitudinal Changes of Cone Beam Computed Tomography Based Radiomics Features During Chemoradiotherapy for Locally Advanced Lung Cancer L Shi1*, Y Rong1 , M Daly1 , B Dyer1 , S Benedict1 , P Wang2 , J Qiu2 , T Yamamoto1 , (1) University of California Davis Comprehensive Cancer Center, Sacramento, CA, (2) Taishan Medical University, Taian, Shandong |
MO-E115-GePD-F2-5 | Radiomics Analysis of Contrast-Enhanced CT Images for Detection of Human Papilloma Virus in Patients with Oropharyngeal Cancers H Bagher-Ebadian*, C Liu , F Siddiqui , N Wen , B Movsas , I Chetty , Henry Ford Health System, Detroit, MI |
MO-E115-GePD-F6-6 | A Method to Assess Spatial Tumor Response Based On Texture Analysis of Daily CTs Acquired During Radiation Therapy D Schott1*, W Hall1 , T Schmidt2 , G Noid1 , P Knechtges1 , B Erickson1 , X Li1 , (1) Medical College of Wisconsin, Milwaukee, WI, (2) Marquette University, Milwaukee, WI |
MO-K-DBRB-7 | Automatic Extraction and Tracing of Small Bowel Morphology Based On MR Enterography D Ruan*, D Karimi , E Boehnke , m douek , P Hu , D Low , K Sheng , M Steinberg , UCLA, Los Angeles, CA |
MO-K-KDBRC-6 | JACK KROHMER JUNIOR INVESTIGATOR COMPETITION WINNER: Selecting Predictive Genomic Biomarkers for Oropharyngeal Cancer Treatment Prediction by Use of Advanced Machine Learning Method J Wu1*, C Lian2, S Ruan2, S Mutic1, M Anastasio1, H Gay1, W Thorstad1, X Wang1, H Li1, (1) Washington University in St. Louis, Saint Louis, MO, USA (2) University of Rouen, Rouen, France |
SU-E-KDBRC-3 | An Automation Framework for Real-Time Prospective Radiomics with Deformable Image Registration T Patel*, P Lang , D Moseley , A Hope , D Jaffray , N Becker , T Tadic , Princess Margaret Cancer Centre, University Health Network, Toronto, ON |
SU-E-KDBRC-5 | An Investigation of Machine Learning Methods for Delta-Radiomic Feature Analysis Y Chang1*, F Yin2 , (1) Duke Kunshan University, Kunshan, ,(2) Duke University Medical Center, Durham, NC; Duke Kunshan University, Kunshan |
SU-F-207-2 | Deriving Ventilation Imaging From 4DCT by Deep Convolutional Neural Network Y Zhong1*, Y Vinogradskiy2 , L Chen1 , N Myziuk3 , R Castillo4 , E Castillo3 , T Guerrero3 , S Jiang1 , J Wang1 , (1) UT Southwestern Medical Center, Dallas, TX, (2) University of Colorado Denver, Aurora, CO, (3) Beaumont Health System, Royal Oak, MI, (4) Emory Univ, Atlanta, GA |
SU-F-207-6 | Whole Skeleton Statistical Appearance Models Applied to the Detection of Abnormal Bone in NaF PET/CT Images T Perk1*, M Scarpelli1 , T Bradshaw1 , S Chen2 , R Jeraj1,3 , (1) University of Wisconsin, Madison, WI (2) The 1st hospital of China Medical University, Shenyang, Liaoning (3) University of Ljubljana, Ljubljana, Slovenia |
SU-F-209-1 | Hydrogel Spacer Or Gas Release Rectal Balloon, a Comparative Study of Prostate Intra-Fraction Motion in Proton Therapy Z Su*, J Wu , K Mund , N Mendenhall , R Nichols , B Hoppe , C Bryant , R Henderson , Z Li , University of Florida, Jacksonville, FL |
SU-F-209-3 | Predicting Motion Compensation Errors for CyberKnife SBRT Liver Patients Using a Machine Learning Algorithm M Liu1*, D Granville2 , J E Cygler1,2, E Vandervoort1,2 (1) Carleton University, Ottawa, ON (2) The Ottawa Hospital Cancer Centre, Ottawa, ON |
SU-F-DBRB-1 | Effects of Variability in Radiomics Software Packages in Classifying Patients with Radiation Pneumonitis J Foy*, J Fuhrman , S Armato , H Al-Hallaq , The University of Chicago, Chicago, IL |
SU-F-DBRB-5 | Exploring Feature Reliability On Multiple CT Image Acquisition Parameters for Abdominal Radiomic Studies - a Pilot Phantom Experiment L Lu , Y Liang*, B Zhao , Columbia University Medical Center, New York, NY |
SU-F-DBRB-7 | Rectal Cancer Prognosis Prediction Using Radiomics From Pretreatment MRI X Zhong1*, N Li2 , K Sung1 , X Qi1 , (1) UCLA School of Medicine, Los Angeles, CA, (2) Cancer Hospital Chinese Academy of Medical Sciences, Beijing, China |
SU-F-KDBRA1-6 | Pancreatic Cancer Risk Prediction Through An Artificial Neural Network W Muhammad*, G Hart , K Johung , Y Liang , B Nartowt , I Ali , J Deng , Yale university School of Medicine, New Haven, CT |
SU-F-KDBRC-5 | A Bayesian Network Model of Lymphatic Tumor Progression for Personalized Elective CTV Definition B Pouymayou*, O Riesterer , M Guckenberger , J Unkelbach , University Hospital Zurich, Zurich, Zurich |
SU-H300-GePD-F6-5 | Prediction of Post-Radiotherapy Residual Disease From Pre-Treatment Imaging Using Deep Learning D Huff1*, T Bradshaw1 , R Jeraj1,2 , (1) University of Wisconsin-Madison, Madison, WI (2) University of Ljubljana, Ljubljana, Slovenia |
SU-H300-GePD-F8-6 | Predicting Prognosis of Lung Cancer Patient Based On Radiomic Features From Slow CT Images S Sato1*, N Kadoya1 , K Takeda1 , T Kajikawa1 , T Yamamoto1 , K Takeda2 , K Jingu1 , (1) Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan (2) Department of Therapeutic Radiology, Tohoku University School of Medicine, Sendai, Japan |
SU-H330-GePD-F6-6 | Cone-Beam CT Radiomics Features as Potential Predictors for Esophageal Cancer Response J Teruel*, K Du , P Galavis , NYU Langone Health, New York, NY |
SU-H330-GePD-F8-3 | Quantitative Regression Model of CBCT Gamma Index and Its Clinical Application On Pre-Treatment Patient Setup Evaluation T Chen*, D Barbee , I Das , NYU Langone Medical Center, New York, NY |
SU-H330-GePD-F9-1 | A Population Based Statistical Model for Dose Distribution in Nasopharynx Cancer Gang Liu1,2,3 , Xuanfeng Ding2, Zhiyong Yang1, Zhiwen Liang1, Jing Yang1, Xin Nie1, Jun Han1, Hongyuan Liu1, Mi chen1,Ting Cao1, Xiaohui Zhu1, Hong Quan3, Qin Li1* 1. Cancer Center, Union Hospital, Huazhong University of Science and Technology, Tongji Medical College, Wuhan, 430023, China; 2. Beaumont Health System, Royal Oak, MI, 48304, USA. 3. School of Physics and Technology, Wuhan University, Hubei, Wuhan, 430072, China; |
SU-H400-GePD-F8-1 | Evaluate the Consistency in Feature Extraction Using Two Radiomics Software Platforms Y Zhang*, C Ma , X Wang , N Yue , K Nie , Rutgers University, New Brunswick, NJ |
SU-H430-GePD-F5-6 | Prediction of Tumor Progression in Locally Advanced Non-Small Cell Lung Cancer Using Standardized Uptake Values From Thoracic PET/CT Images J M Luna1*, D Kontos1 , K A Cengel1 , C B Simone II 2 , E S Diffenderfer1 , (1) University of Pennsylvania, Philadelphia, Pennsylvania, (2) University of Maryland School of Medicine, Baltimore, Maryland |
SU-H430-GePD-F8-1 | Classification of Hepatic Tumor Images Using Persistent Homology J Kotoku1*, A Oyama1 , Y Hiraoka2 , I Obayashi2 , K Shiraishi1 , A Haga3 ,H Kondo1 , Y Saikawa1 , T Kobayashi1 , S Furui1 , (1) Teikyo University, Tokyo, Japan,(2) Tohoku University, Aoba-ku, Sendai,Japan (3)Tokushima University, Tokushima, Japan |
SU-I-GPD-E-17 | Consensus Contouring Software with Real-Time Feedback for Radiation Oncology Training J Yang1*, R Fang2 , L Court1 , Z Liao1 , D Gomez1 , J Gunther1 , J Yang1 , (1) UT MD Anderson Cancer Center, Houston, TX, (2) Rice University, Houston, TX |
SU-I-GPD-I-14 | Characterization of Multi-Modality Imaging Phantom Incorporated 3D Printing and Biological Tissue Equivalent Technology h zhang1*, f zhang2 , J Qiu3 , Y Rong4 , N Ju5 , (1) Taishan Medical University, Taian, Shandong, (2) Taishan Medical University, Taian, Shandong, (3) Taishan Medical University, Taian, Shandong, (4) University of California-Davis, Sacramento, CA, (5) Taishan Medical University, Taian, Shandong |
SU-I-GPD-J-12 | Prediction of 3D Dose Distribution and PTV Contour Via Deep Multi-Task Learning Network F Guo1*, F Kong1 , Y Li2 , L Zhou1 , T Song1 , (1) Southern Medical University, Guangzhou, Guangdong, (2) SUN YAT-SEN UNIVERSITY CANCER CENTER, Guangzhou, Guangdong, |
SU-I-GPD-J-23 | Dosimetric Analysis On the Influence of Gas in the Digestive Tract On Different Types of Radiotherapy for Pancreas Cancer T Chen*, A Mccarthy , I Das , NYU Langone Medical Center, New York, NY |
SU-I-GPD-J-46 | The Comparison of Biologically Effective Dose Rate in Gamma Knife Radiosurgery Treatment with Trigeminal Neuralgia R Juh1*, T Suh2 , J Han1 , C Kim1 , C Oh1 , (1) Seoul National University Hospital, Seongnamsi, Gyeonggido(2) Catholic university Medical College, Seoul |
SU-I-GPD-J-54 | Efficient Multi-GPU Calculation of Local Radiomic Features From 2D and 3D Images R Neph*, K Sheng , UCLA Dept. of Radiation Oncology, Los Angeles, CA |
SU-I-GPD-J-55 | Comparation of Machine Learning Methods for NSCLC Overall Survival Time Prediction Based On Radiomics Analysis W Sun1*, M Jiang2 , J Dang3 , F Yin4 , (1) School of Information Science and Engineering, Shandong University, Jinan, Shandong, (2) School of Information Science and Engineering, Shandong University, Jinan, Shandong, (3) Chongqing Medical University, Chongqing, Chongqing, (4) Duke University Medical Center, Durham, NC |
SU-I-GPD-J-56 | A Radiomic Assessment of the Progression of Acoustic Neuroma After Gamma Knife Stereotactic Radiosurgery G Narayanasamy1*, G Zhang2 , E Siegel3 , G Campbell 4 , E Moros2 , E Galhardo1 , X Zhang1 , S Morrill1 , J Penagaricano1 , (1) Department of Radiation Oncology, University of Arkansas for Medical Sciences, Little Rock, AR, (2) H. Lee Moffitt Cancer Center, Tampa, FL, (3) Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, (4) College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR |
SU-I-GPD-J-61 | Transfer Learning-Based Tongue Gestures Classification Using Ultrasound Images Kele Xu1*, Dawei Feng2 , Shun Zou3 , (1) National University of Defense Technology, Wuhan, Hubei, (2) National University of Defense Technology, Changsha, Hunan, (3) National University of Defense Technology, Wuhan, Hubei |
SU-I-GPD-J-71 | Prediction of Local Persistence/Recurrence After Radiation Therapy Treatment of Head and Neck Cancer From PET/CT Using a Multi-Objective Radiomics Model Q Zhang*, Z Zhou , G Qin , P Li , J Shah , N Pham , S Gottumukkala , Z Moore , D Sher , J Wang , S Jiang , UT Southwestern Medical Center, Dallas, TX |
SU-I-GPD-P-4 | Design of a Radiotherapy Workflow System J Chen*, L Sun , j wang , W Hu , Fudan University Shanghai Cancer Center, Shanghai, Shanghai |
SU-I-GPD-P-5 | Secure and Trustable Sharing of Electronic Radiation Oncology Treatment Record Based On Blockchain Technology L Sun*, W Hu , J Chen , Fudan University Shanghai Cancer Center, Shanghai, Shanghai |
SU-I-GPD-P-7 | Frequency and Type of Errors Occurring When Using Look-Up Tables for Dose Calculations - a Retrospective Analysis G Nelson*, V Sarkar , A Paxton , V Pigrish , D Spitznagel , B Salter , University Utah, Salt Lake City, UT |
SU-I-GPD-P-8 | The Value of Performance Metrics in a Large Statewide Consortium: Using Planning Target Volumes Towards Improvements in Breast Planning J Moran1*, F Vicini2, M Grubb1, L Benedetti3 , T Bichay4 , T Boike5 , J Burmeister6 , M Dominello6 , D Dryden5 , K Griffith1 , G Gustafson3 , J Hayman1 , J Haywood7 , R Jagsi 1 , D Lack3 , R Marsh1 , M Matuszak1 , M Mietzel1 , V Narayana8 , J Parker9 , J Radawski10 , M Wilson11 , L Pierce1 , C Speers1 (1) university Michigan Medical Center, Ann Arbor, MI, (2) 21st Century Oncology, Farmington Hills, MI, (3) William Beaumont Hospital, Royal Oak, MI, (4) Mercy Health Saint Mary's Campus, Grand Rapids, MI, (5) McLaren Northern Michigan, Petoskey, MI, (6) Wayne State university School of Medicine, Detroit, MI, (7) Mercy Health Partners, Allendale, MI, (8) Providence Cancer Center, Southfield, MI, (9) Henry Ford Allegiance Health, Jackson, MI, (10) West Michigan Cancer Center, Kalamazoo, MI, (11) MHP Radiation Oncology Institute, Farmington Hills, MI on behalf of the Michigan Radiation Oncology Quality Consortium (MROQC) |
SU-I-GPD-P-11 | Implementing a New Modality, Without a Project Manager? Try FMEA C Buckey*, M Foster , G Penoncello , C Schulz , P Riopelle , P Burris , R Moore , W Rule , Mayo Clinic, Phoenix, AZ |
SU-I-GPD-P-13 | Development of An Independent Patient Data Validation Approach for Large Scale Radiotherapy Data Migration R Khan*, Y Wu , B Bottani , B Sun , S Mutic , C Alexander , D Bollinger , L Santanam , Washington University School of Medicine, St Louis, MO |
SU-I-GPD-P-18 | A Dosimetric Comparison of IMR Vs VMAT Optimization in Early Stage Whole Breast Cancer S Pella1*, N Moshiri2 , T Leventouri3 , (1) 21st Century Oncology, Boca Raton, FL, (2) Florida Atlantic University, Boca Raton, Florida, (3) Florida Atlantic University, Boca Raton, Florida |
SU-I-GPD-T-76 | The Effect of Patient Substitutes in Terms of the Accuracy in Out-Of-Field Dose Calculation P Hauri1,2*, C Lee3 , M Hartmann1 , U Schneider1,2, (1) Radiotherapy Hirslanden, Hirslanden Medical Center, Zuerich, Switzerland, (2) Department of Physics, University of Zurich, Zurich, Switzerland, (3) National Cancer Institute, Rockville, MD, |
SU-I-GPD-T-78 | Whole-Body Dose Equivalent Including Neutrons Is Similar for 6MV and 15MV IMRT, VMAT, and 3D Conformal Radiotherapy P Hauri1,2*, U Schneider1,2, (1) Radiotherapy Hirslanden, Hirslanden Medical Center, Zuerich, Switzerland, (2) Department of Physics, University of Zurich, Zurich, Switzerland |
SU-I-GPD-T-84 | Using Machine Learning to Predict GI Toxicity in Unresectable Pancreatic Cancer Patients Treated with Stereotactic Body Radiation Therapy T Wu*, S Liauw , University of Chicago Hospitals, Chicago, IL |
SU-I-GPD-T-99 | Evaluation of Independent Dose Volume Histogram Calculation Interpolation Methods Using An Open Source DVH Analysis Toolkit A Panchal*, Northwestern Medicine Chicago Proton Center, Warrenville, IL |
SU-I-GPD-T-149 | ChartAlert: Automation for Physics Weekly Patient Chart Checks in Radiation Oncology S Stathakis*, N Papanikolaou , N Kirby , K Rasmussen , D Saenz , University of Texas HSC SA, San Antonio, TX |
SU-I-GPD-T-242 | Effective Algorithm Sharing and Validating Using Serverless Cloud Computing In Radiation Oncology Y Chen1 , J Xia2*, (1) University of Iowa, Iowa City, IA, (2) University Of Iowa Hospitals and Clinics, Iowa City, IA |
SU-I-GPD-T-263 | Normal Tissue Dose Estimation Error for Breast EBRT Patients Due to the Calculation Algorithm Differences C Lee1*, R Golduber1 , M Mille2 , J Jung3 , A Berrington de Gonzalez2 , C Lee2 , (1) University of Michigan, Ann Arbor, MI, (2) National Cancer Institute, Bethesda, MD, (3) East Carolina Univ, Greenville, NC |
SU-I-GPD-T-448 | Potential for Using Smart Radiotherapy Biomaterials Instead of Traditional Image-Guided Radiotherapy Devices J Chin1*, M Moreau1,2, N Sinha2, R Mueller4, S Yasmin-Karim2, W Ngwa1,2,3, (1) University of Massachusetts Lowell, Lowell, MA (2) Harvard Medical School, Boston, MA (3) Dana Farber Cancer Institute, Boston, MA, Brigham and Women's Hospital (4) Heidelberg University, Heidelberg, Germany |
SU-K-205-1 | Convolutional Neural Network Fiducial Detection for Position Reconstruction Using a High-Efficiency Cadmium Tungstate Portal Imager C Lindsay1*, W Ansbacher1 , I Gagne1 , J Star-Lack2 , M Bazalova-Carter3 , (1) British Columbia Cancer Agency - Vancouver Island Centre, Victoria, BC (2) Varian Medical Systems, Palo Alto, CA, (3) University of Victoria, Victoria, BC |
SU-K-205-2 | Histology Classification in Early-Stage Non-Small-Cell Lung Cancers Using Radiomic Features A Haga1,2*, W Takahashi2 , S Aoki2 , K Nawa2 , H Yamashita2 , J Kotoku3 , O Abe2 , K Nakagawa2 , (1) University of Tokushima, Tokushima, (2) The University of Tokyo Hospital, Tokyo, (3) Teikyo University |
SU-K-205-6 | Radiomics Characteristics Correlate with Immune Activation: A TCIA/TCGA Data Analysis in Head and Neck Squamous Cell Carcinoma J Oh1*, E Katsoulakis1 , J Leeman1 , Y Yu2 , J Tsai1 , S McBride1 , N Katabi1 , A Apte1 , N Lee1 , V Hatzoglou1 , N Riaz1 , J Deasy1 , (1) Memorial Sloan Kettering Cancer Center, New York, NY, (2) University of California San Francisco, San Francisco, CA |
SU-K-DBRA-1 | Can Cannabinoids Be Used to Enhance Therapeutic Efficacy During Radiotherapy? S Yasmin-Karim*, M Moreau , R Mueller , W Ngwa , Harvard Medical School, Boston, MA |
SU-K-DBRA-4 | Evaluating the Linearity of Risk Functions Across Radiotherapy Outcomes Using Deep Learning C Ahern1 , T Pheiffer1*, C Berlind1 , W Lindsay1 , Y Xiao2 , C Simone3 , (1) Oncora Medical, Inc., Philadelphia, PA, (2) University of Pennsylvania, Philadelphia, PA, (3) University of Maryland School of Medicine, Baltimore, Maryland |
SU-L-KDBRA1-2 | An AI Based Algorithm and Framework for Automatic Classification of Events in An Incident Reporting System Z Sun , W Zong*, B Miller , I Chetty , N Wen , Henry Ford Health System, Detroit, MI |
SU-L-KDBRA1-3 | Anatomy-Adjusted Treatment Plan Quality Control A Roy1*, D Cutright2 , M Gopalakrishnan3 , A Yeh1 , B Mittal3 , (1) Bowling Green State University, Bowling Green, OH, (2) Brown University, Providence, RI, (3) Northwestern Memorial Hospital, Chicago, IL |
TH-AB-DBRB-1 | Optimal Energy of Virtual Monoenergetic Imaging From Dual-Energy CT for Target Delineation and Radiation Response Assessment G Noid1*, D Schott1 , T Schmidt2 , A Tai1 , X Li1 , (1) Medical College of Wisconsin, Milwaukee, WI, (2) Marquette University, Milwaukee, WI, |
TH-AB-DBRB-4 | A Multi-Objective Based Feature Selection Method for Lung Nodule Malignancy Classification Z Zhou1*, S Li2 , H Hao3 , X Chen4 , M Folkert5 , S Jiang6 , J Wang7 , (1) UT Southwestern Medical Center, Dallas, Texas, (2) Southern Medical University, Guangzhou, Guangdong, (3) Xidian University, Dallas, TX, (4) Xi'an Jiaotong University, Dallas, Texas, (5) UT Southwestern Medical Center, Dallas, Texas, (6) UT Southwestern Medical Center, Dallas, TX, (7) UT Southwestern Medical Center, Dallas, TX |
TH-AB-DBRB-7 | Investigating the Complementarity of Radiomics and Clinical Information for Predicting Treatment Failure in Multiple Cancer Types M Vallieres1*, A Chatterjee2 , F Lucia3 , V Bourbonne3 , P Bonaffini4 , I Masson5 , A Mervoyer5 , C Reinhold4 , D Visvikis1 , U Schick3 , J Seuntjens2 , O Morin6 , M Hatt1 (1) Laboratoire de Traitement de l'Information Medicale (LaTIM, INSERM UMR 1101), Brest, France; (2) Medical Physics Unit, McGill University, Montreal, Quebec, Canada; (3) Radiation Oncology Department, CHRU Morvan Brest, Brest, France; (4) Radiology Department, McGill University Health Centre, Montreal, Quebec, Canada; (5) Radiation Oncology Department, Institut de Cancerologie de l'Ouest, Nantes, France; (6) Department of Radiation Oncology, Division of Physics, University of California San Francisco, San Francisco, CA, USA |
TH-AB-DBRB-10 | Comparison of Single and Multi-Modality CT and MR Radiomics Models for Overall Survival and Local Control for Non-Small Cell Lung Cancer R N Mahon1*, G D Hugo2 , E Weiss1 , (1) Virginia Commonwealth University, Richmond, Virginia, (2) Washington University School of Medicine, St. Louis, MO |
TH-AB-KDBRB1-6 | Lung Nodule Malignancy Prediction by Combining Handcrafted Features and Deep Convolutional Neural Network S Li1*, L Chen2 ,Z Zhou2 ,H Hao3 , Y Duan1, B Li1, M Folkert2 , S Jiang2 , J Wang2 , (1) Southern Medical University, Guangzhou, Guangdong, China (2) UT Southwestern Medical Center, Dallas, Texas, USA (3) Xidian University, Xian, China |
TH-AB-KDBRB1-8 | A Stacking Method for Predicting Patient QA Passing Rates Using Machine Learning D Lam*, T Dvergsten , T Zhao , D Yang , S Mutic , B Sun , Washington University in St Louis, St Louis, MO |
TH-CD-KDBRC-12 | Segmentation of the Prostate and Organs at Risk in Male Pelvic CT Images Using Deep Learning S Kazemifar*, A Balagopal , D Nguyen , S McGuire , R Hannan , S Jiang , A Owrangi , UT Southwestern Medical Center, Dallas, TX |
TU-AB-DBRB-7 | CT-Based Radiomic Analysis for Prediction of Liver Progression Risk in Hepatocellular Carcinoma Patients Treated with Stereotactic Body Radiation Therapy L Wei*, D Owen , M Mendiratta-Lala , B Rosen , K Cuneo , T Lawrence , R Ten Haken , I El Naqa , University of Michigan, Ann Arbor, MI |
TU-AB-DBRB-8 | Radiomics Features Predict Tumor Volume Change During Head and Neck Cancer Radiotherapy M Surucu1*, I Mescioglu2 , F Cozzi1 , N Hurst1 , B Emami1 , J Roeske1 , (1) Loyola University Medical Center, Maywood, IL, (2) Lewis University, Romeoville, IL, |
TU-C1000-GePD-F9-5 | Topological Parametric Response Mapping for Use in Radiation Treatment Planning of Non-Small Cell Lung Cancer Patients D Owen*, P Boonstra , W Jackson , A Fortuna , B Hoff , S Jolly , R Ten Haken , C Galban , M Matuszak , University of Michigan, Ann Arbor, MI |
TU-C1030-GePD-F1-3 | Comparison of Noise Analysis and Deep Learning-Based Image Quality Assessment (IQA) Methods for Thoracic Computed Tomography (CT) B Grant1*, J Lee2 , J Chung3 , I Reiser2 , L Lan2 , J Papaioannou3 , M Giger2 , (1) Western Kentucky University, Bowling Green, KY, (2) The University of Chicago, Chicago, IL, (3) University of Chicago Medicine, Chicago, IL, |
TU-C1030-GePD-F2-1 | CT/MRI-Based Radiomics Analysis to Predict Radiation Induced Xerostomia in Head and Neck Cancer Radiotherapy K Sheikh*, L Peng , S Lee , P Han , Z Cheng , P Lakshminarayanan , T McNutt , H Quon , J Lee , Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD |
TU-C1030-GePD-F2-3 | Developing and Validating An Automatic System of Tracking Parotid Shrinkage in Weekly MRIs for Adaptive Radiotherapy Y Hu*, S Fontenla , N Tyagi , J Mechalakos , P Zhang , C Polvorosa , N Allgood , G Mageras , M Hunt , Memorial Sloan-Kettering Cancer Center, New York, NY |
TU-C1030-GePD-F3-3 | Evaluation of Secondary Neutron Dose Equivalent to a Point Representing a Fetus During Pencil Beam Scanning Proton Therapy Treatment of the Mother D Hecksel*, M Pankuch , M Gao , Northwestern Medicine Chicago Proton Center, Warrenville, IL |
TU-C1030-GePD-F5-6 | Automatic Detection of Graticule Isocenter and Scale From KV and MV Images J Yang1*, R Fang2 , W Du1 , L Court1 , (1) UT MD Anderson Cancer Center, Houston, TX, (2) Rice University, Houston, TX |
TU-C930-GePD-F4-1 | An Automaton Model of Tumor Growth with Response to Irradiation L Wu1*, Y Watanabe2 , (1) University of Minnesota,Minneapolis, MN, (2) University of Minnesota, Minneapolis, MN |
TU-C930-GePD-F8-3 | Diffusion Tensor Imaging Based Fiber Tracking for Prediction of the Position Accuracy of the Trigeminal Neuralgia for Radiosurgery R Juh1*, T Suh2 , J Han1 , C Kim1 , C Oh1 , (1) Seoul National University Hospital, Seongnam Si, Gyeonggido,(2) Catholic university Medical College, Seoul |
TU-I345-GePD-F9-2 | Identifying Predictors of Unplanned Hospitalizations After Radiotherapy Using Regularized Survival Models C Ahern1*, T Pheiffer1 , C Berlind1 , W Lindsay1 , Y Xiao2 , C Simone3 , (1) Oncora Medical, Inc., Philadelphia, PA, (2) University of Pennsylvania, Philadelphia, PA, (3) University of Maryland School of Medicine, Baltimore, Maryland |
TU-I345-GePD-F9-5 | Risk-Index of Colorectal Cancer to Triage for Screening B. Nartowt*, G. Hart , D. Roffman , I. Ali , W. Muhammad , Y. Liang , J. Deng , Yale university School of Medicine, New Haven, CT |
TU-K-202-4 | Automated Segmentation of Malignant Pleural Mesothelioma Tumor On Computed Tomography Scans Using Deep Convolutional Neural Networks E Gudmundsson1*, C Straus2 , A Nowak3 , H Kindler4 , S Armato5 , (1) ,,,(2) University of Chicago, Chicago, Illinois, (3) University of Western Australia, Crawley, WA, (4) University of Chicago, Chicago, Illinois, (5) The University of Chicago, Chicago, IL |
TU-K-207-3 | Medical Image Annotation with a New Low-Rank Modeling-Based Multi-Label Active Learning Method J Wu1, S Ruan2 , C Lian2 , S Mutic1 , M Anastasio1 , H Li1* , (1) Washington University in St. Louis, Saint Louis, MO, (2) University of Rouen, Rouen, Normandy |
TU-K-207-4 | Multi-Scale V-Net: A Deep Learning Framework for Brain Tumor Segmentation in Multiparametric MRI Y Liu*, X Shi , Y Xia , Y Lei , L Tang , T Liu , W Curran , H Mao , X Yang , Emory University, Atlanta, GA |
WE-AB-202-7 | Machine-Learning-Based Classification of Glioblastoma Using Dynamic Susceptibility Enhanced MR Image Derived Delta-Radiomic Features J Jeong*, L Wang , J Bing , Y Lei , T Liu , A Ali , W Curran , H Mao , X Yang , Emory University, Atlanta, GA |
WE-AB-KDBRC-2 | Longitudinal Assessment of 4DCT-Derived Ventilation Change Following Radiation Therapy TJ Patton1*, SE Gerard2 , W Shao2 , GE Christensen2 , JM Reinhardt2 , AM Baschnagel1 , JE Bayouth1 , (1) University of Wisconsin - Madison, Madison, WI, (2) The University of Iowa, Iowa City, IA |
WE-AB-KDBRC-5 | Multiparametric Regional Radiation Dose-Response of Normal Lung On Longitudinal MAA-SPECT/CT and FDG-PET/CT Imaging of FLARE-RT Protocol Patients H Thomas 1*, J Zeng1 , B Sasidharan2 , P Kinahan1 , R Miyaoka1 , H Vesselle1 , R Rengan1 , S Bowen1 , (1) University of Washington School of Medicine, Seattle, WA, (2) Christian Medical College Vellore, Vellore, Tamil Nadu, India |
WE-AB-KDBRC-8 | Characterizing Spatial Lung Function for Esophageal Cancer Patients A PINDER-ARABPOUR1*, B Jones1 , R Castillo2 , E Castillo3 , T Guerrero3 , K Goodman1 , T Schefter1 , J Kwak1 , M Miften1 , Y Vinogradskiy1 , (1) University of Colorado, Aurora, CO, (2) Emory Univ, Atlanta, GA, (3) Beaumont Health, Royal Oak, MI |
WE-C1000-GePD-F5-1 | Real-Time Patient Breath Hold Assessment for Deep Inspiration Breath Hold (DIBH) Treatments of Breast Cancer Using Portal Imaging Based Monitoring T Fuangrod1 , P Greer2,3 , J Lehmann2,3,4*, (1) HRH Princess Chulabhorn College of Medical Science, Bangkok, Thailand (2) Department of Radiation Oncology, Calvary Mater Newcastle, Newcastle, Australia, (3) School of Mathematical and Physical Sciences, University of Newcastle, Newcastle, Australia, (4) Institute of Medical Physics, University of Sydney, Sydney, Australia |
WE-C1000-GePD-F5-2 | User Interface Design for EPID Based Breath-Hold Monitoring System J Lehmann1,2,3*, M Doebrich1,2 , (1) Department of Radiation Oncology, Calvary Mater Newcastle, Newcastle, Australia,(2)School of Mathematical and Physical Sciences, University of Newcastle, Newcastle, Australia, (3) Institute of Medical Physics, University of Sydney, Sydney, Australia |
WE-C1000-GePD-F6-1 | Automatic Contrast Medium Extraction System Using Monochromatic CT Number D Kawahara1*, S Ozawa2 , S Tanaka3 , K Yokomachi4 , A Saito2 , T Higaki5 , C Fujioka4 , M Tsuneda1 , M Mori1 , Y Ohno4 , Y Nagata2 , (1)Medical and Dental Sciences Course, Graduate School of Biomedical & Health Sciences, Hiroshima University, Hiroshima City 734-8551, Japan, (2)MDepartment of Radiation Oncology, Institute of Biomedical & Health Sciences, Hiroshima University, Hiroshima City 734-8551, Japan, (3) Department of Nuclear Engineering and Management, School of Engineering, University of Tokyo, Tokyo 113-8654, Japan, (4) Radiation Therapy Section, Division of Clinical Support, Hiroshima University Hospital, Hiroshima City 734-8551, Japan, (5) Departments of Diagnostic Radiology and Radiology, Hiroshima University, Hiroshima City 732-0057, Japan |
WE-C1030-GePD-F4-4 | Using Electronic Medical Records to Monitor Emergency Room Visit for Patients Receiving Radiotherapy N YU*, D LaHurd , P Xia , C Savage , K Stephans , G Videtic , S Amarnath , Y Ron , J Suh , The Cleveland Clinic Foundation, Cleveland, OH |
WE-C1030-GePD-F4-6 | Multi-Classification of Clinical Notes for Natural Language Processing-Based Information Aggregation in Radiotherapy D Ruan*, Y Min , D Low , M Steinberg , UCLA, Los Angeles, CA |
WE-C930-GePD-F5-4 | Radiation Therapy Patient Setup Accuracy Comparison Between Surface Guidance and Tattoo H Zhao*, V Sarkar , A Paxton , M Szegedi , P Rassiah-Szegedi , Y Huang , L Huang , F Su , G Nelson , B Salter , University of Utah, Salt Lake City, UT |
WE-C930-GePD-F9-1 | Evaluation of Dose Reduction by Using Superflab Boluses at Out-Of-Field Region J Yoon1*, Y Xie2 , R Zhang2,3 , (1) East Carolina University, Greenville, NC, (2) Louisiana State University, Baton Rouge, LA, (3) Mary Bird Perkins Cancer Center, Baton Rouge, Louisiana |
WE-FG-207-3 | Deep Learning for Automated Quantification of Tumor Phenotypes A Hosny1*, T Coroller1 , P Grossmann1 , C Parmar1 , R Zeleznik1 , A Kumar1 , J Bussink2 , R Gillies3 , R Mak4 , H Aerts1 , (1) Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women Hospital, Harvard Medical School, Boston, MA, (2) Radboud University, Nijmegen, Nijmegen, (3) Moffitt Cancer Center, Tampa, FL, (4) Brigham and Women's Hospital, Boston, MA |
WE-FG-DBRA-3 | Ensemble Learning: A Case Study with Knowledge Based Treatment Planning J Zhang1*, T Xie2 , Y Sheng3 , Q Wu4 , F Yin5 , Y Ge6 , (1) Duke University Medical Center, Durham, NC, (2) Duke University Medical Center, Durham, NC, (3) Duke University Medical Center, Durham, NC, (4) Duke University Medical Center, Durham, NC, (5) Duke University Medical Center, Durham, NC, (6) UNC Charlotte, Charlotte, NC |
WE-FG-DBRA-7 | Modeling of Multiple Planning Target Volumes (PTVs) in Knowledge-Based Planning (KBP) J Zhang1*, Y Sheng2 , C Wang3 , T Xie4 , F Yin5 , Y Ge6 , Q Wu7 , (1) Duke University Medical Center, Durham, NC, (2) Duke University Medical Center, Durham, NC, (3) Duke University Medical Center, Durham, NC, (4) Duke University Medical Center, Durham, NC, (5) Duke University Medical Center, Durham, NC, (6) UNC Charlotte, Charlotte, NC, (7) Duke University Medical Center, Durham, NC |
WE-FG-DBRA-9 | Performance Comparison of Knowledge-Based Dose Prediction Techniques A Landers*, R Neph , F Scalzo , D Ruan , K Sheng , UCLA School of Medicine, Los Angeles, CA |
WE-J-KDBRA1-1 | A Method to Detect Errors in Radiation Therapy Physician Orders Using Association Rules X Chang*, H Li , Y Fu , B Sun , D Yang , Washington University School of Medicine, St Louis, MO |
WE-J-KDBRA1-2 | DVH Analytics: An Open-Source DICOM-RT Database D Cutright1*, M Gopalakrishnan2 , A Roy3 , A Panchal4 , B Mittal2 , (1) Brown University, Providence, RI, (2) Northwestern Memorial Hospital, Chicago, IL, (3) Bowling Green State University, Bowling Green, OH, (4) CDH Proton Center, Clarendon Hills, IL |
WE-J-KDBRA1-3 | Electronic Whiteboard Program for Improving Efficiency of Treatment Planning Workflow H Chen*, L de Souza Lawrence , A Raben , K Andreou , F Mourtada , Christiana Care Hospital, Newark, DE |
WE-J-KDBRA1-6 | Statistical Shape Models for the Automated Detection of OAR Segmentation Abnormalities E Schreibmann*, H Shim , T Liu , N Esiashvili, Emory University, Atlanta, GA |