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IM | IM/TH | TH | show all

Taxonomy: IM- MRI : Biomarkers

MO-E115-GePD-F2-4Longitudinal 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-F2-5Radiomics 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
SU-E-KDBRC-5An 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-DBRB-5Exploring 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-7Rectal 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-H300-GePD-F8-6Predicting 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-F6-2CT-Based Radiomics Features Predict Brain Metastasis in Small Cell Lung Cancer
Q Wen*, J Zhu , Q Qiu , T Bai , X Meng , Y Yin , J Yu , Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong
SU-H330-GePD-F6-6Cone-Beam CT Radiomics Features as Potential Predictors for Esophageal Cancer Response
J Teruel*, K Du , P Galavis , NYU Langone Health, New York, NY
SU-I-GPD-J-54Efficient 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-K-205-7Characterizing Differed Patterns of Respiration Induced Tumor Shape Changes in Lung Adenocarcinoma and Squamous Cell Carcinoma - A Pilot Study in 4D-CT
Y Lao1*, R Tuli1 , J David1 , A Mirhadi1 , N Lepore2 , H Sandler1 , Y Wang3 , W Yang1 , (1)Cedars Sinai Medical Center, Los Angeles, California, (2) Children's Hospital Los Angeles, Los Angeles, California, (3) Arizona State University, Tempe, Arizona
TH-AB-DBRB-1Optimal 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-3Predicting Meningioma Tumor Recurrence Using Radiogenomics Data
T Coroller*, W Bi , N Greenwald , R Zeleznik , E Huynh , C Parmar , R Huang , H Aerts , Dana-Farber Cancer Institute, Brigham & Women's Hospital, Harvard Medical School, Boston, MA
TH-AB-DBRB-10Comparison 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
TU-AB-DBRB-7CT-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-8Radiomics 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-C1030-GePD-F2-1CT/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