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Education | IM | IM/TH | Leadership | TH | show all

Taxonomy: IM- CT: Biomarkers

MO-GH-SAN2-9Improved Glioblastoma Survival Prediction Using Deep Learning-Based Radiomic Features From Preoperative Multimodal MR Images
J Fu*, K Singhrao , X Zhong , X Qi , Y Yang , D Ruan , J Lewis , UCLA School of Medicine, Los Angeles, CA
PO-GePV-I-2Developing in Vivo Diffusion and Functional MR Imaging Biomarkers in a Knock-in Mouse Model of DYT1 Dystonia
H Liu*, D Vaillancourt , University of Florida, Gainesville, FL
SU-E-SAN2-4Evaluating the Stability of Radiomics Features Using 4D-CT
X Wang1*, C Ma1 , H Wang2 , Y Zhang1 , N Yue1 , K Nie1 , (1) Rutgers-Cancer Institute of New Jersey, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ, (2) Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
SU-F-221CD-3Functional Lung Avoidance Maps to Guide Radiation Therapy: Free-Breathing Proton MRI Versus Four-Dimensional CT to Measure Specific-Ventilation in Non-Small Cell Lung Cancer
D Capaldi1*, K Sheikh2 , D Hoover3 , B Yaremko3 , D Palma3 , G Parraga4 , (1) Stanford University, Stanford, California, (2) Johns Hopkins University, Baltimore, MD, (3) London Regional Cancer Program, London, ON, (4) Western University, London, ON
SU-J400-CAMPUS-F2-4Radiomics of Sulfur Colloid SPECT/CT to Predict Child-Pugh Class in Hepatocellular Carcinoma Patients
S Schaub1*, D Hippe1 , S Bowen1 , L Wootton1 , W Chaovalitwongse2 , P Kinahan1 , S Apisarnthanarax1 , M Nyflot1 , (1) University of Washington, Seattle, WA, (2) University of Arkansas, Fayetteville, AR
TH-A-SAN2-2Prediction of MGMT Status for Newly Diagnosed Glioblastoma Patients Using Radiomics Feature Extraction From 18F-DOPA PET Imaging
J Qian*, M Herman , D Brinkmann , N Laack , P Korfiatis , B Kemp , C Hunt , V Lowe , D Pafundi , Mayo Clinic, Rochester, MN
TH-C-SAN2-1Harmonizing Imaging Protocols: Impact On Radiomics Survival Prediction in Large Patient Cohorts
R Ger*, S Zhou , D Mackin , H Elhalawani , B Elgohari , J Meier , C Fuller , R Howell , R Layman , H Li , O Mawlawi , R Stafford , L Court , UT MD Anderson Cancer Center, Houston, TX
TU-AB-221AB-5Disease Progression in Idiopathic Pulmonary Fibrosis: The Potential for Stratifying Patients Using Hyperpolarized Xenon-129 Magnetic Resonance Imaging
L Rankine1,2*, Z Wang2 , J Wang3 , M He2 , H McAdams2 , J Mammarappallil2 , C Rackley2 , B Driehuys2 , R Tighe2 , (1) The University of North Carolina at Chapel Hill, NC, (2) Duke University, Durham, NC, (3) The Ohio State University Wexner Medical Center, Columbus, OH
TU-AB-225BCD-6Molecular Image-Directed Bone Biopsies in Metastatic Prostate Cancer Patients
A Roth1*, S Harmon1 , T Perk1 , M Tuite1 , S Tomlins2 , G Liu1 , R Jeraj1,3 , (1) University of Wisconsin-Madison, Madison, WI, (2) University of Michigan, Ann Arbor, MI, (3) University of Ljubljana, Ljubljana, Slovenia
TU-AB-SAN2-9Investigating Radiomics to Predict Positive Lymph Nodes in Oral Cavity Squamous Cell Carcinoma (OSCC)
A Traverso12*, A Hosni-Abdalaty2 , M Hasan2 , J Kim2 , J Ringash2 , J Cho2 , S Bratman2 , A Bailey2 , J Waldron9 , M Welch2 , J Irish3 , B O'Sullivan2 , J De Almeida3 , M Giuliani2 , D Chepeha2 , D Goldstein2 , D Jaffray2 , L Wee1 , A Dekker1 , A Hope2 , (1) MAASTRO Clinic, Maastricht, The Netherlands ,(2) Princess Margaret Cancer Centre, Toronto, Canada (3) University Health Network, Toronto, Canada
TU-AB-SAN2-11ComBat Harmonization for Radiomcs Studies with CT Images
R N Mahon1*, M Ghita1 , G D Hugo2 , E Weiss1 , (1) Virginia Commonwealth University, Richmond, VA, (2) Washington University School of Medicine, St. Louis, MO
TU-C1030-GePD-F2-5Synthetic CTs Generated by Deep Learning Approaches: How Good Are They for Radiomics Analysis?
F Tixier*, P Klages , S Riyahi , J Jiang , H Um , N Tyagi , R Young , H Veeraraghavan , Memorial Sloan-Kettering Cancer Center, New York, NY
TU-C930-GePD-F6-3Standardizing Patient Orientation to Improve Generalization of Radiomics Models
A Iyer*, J Oh , M Thor , J Deasy , A Apte , Memorial Sloan Kettering Cancer Center, New York, NY
TU-C930-GePD-F6-4The Stability of CT Radiomics Feature Using Repeated Scans
C Ma1*, (1) Rutgers Cancer Institute of New Jersey
TU-HI-SAN2-6Delta-Radiomics and Tumor Characteristic Factors as a Combined Biomarker for Chemoradiation Therapy of Locally Advanced Pancreatic Cancer
H Nasief1*, W Hall2 , C Zheng3 , S Tsai4 , L Wang5 , B Erickson6 , X Li7 , (1) Medical College of Wisconsin, Marshall, WI, (2) Medical College of Wisconsin, Milwaukee, WI, (3) University of Wisconsin Milwaukee, Milwaukee, WI, (4) Medical College of Wisconsin, Milwaukee, WI, (5) Medical College of Wisconsin, Milwaukee, WI, (6) Medical College of Wisconsin, Milwaukee, WI, (7) Medical College of Wisconsin, Milwaukee, WI
WE-AB-221AB-5Dual-Energy CT Ventilation & Perfusion Imaging as An Accessible Alternative to Nuclear Medicine Techniques
J Korte* , N Bucknell , S Siva , B Woon , P Jackson , T Mulcahy , J Callahan , T Kron , N Hardcastle , Peter MacCallum Cancer Centre, Melbourne, Australia