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Taxonomy: IM- Dataset analysis/biomathematics: Informatics
| BReP-SNAP-M-71 | Exploration of Potential Parameters That Influence When to Replan Head and Neck Cancer Patients A Andrade*, G Shenouda, J Kildea, McGill University, Montreal, QC, CA |
| BReP-SNAP-M-75 | Forecasting Individual Patient Response to Radiotherapy with a Dynamic Carrying Capacity Model M Zahid*1, N Mohsin1, A Mohamed2, J Caudell1, L Harrison1, C Fuller2, E Moros1, H Enderling1, (1) H. Lee Moffitt Cancer Center, Tampa, FL, (2) UT M.D. Anderson Cancer Center, Houston, TX |
| BReP-SNAP-M-98 | Machine Learning Analysis of Treatment Session Time Components R Kashani, D Smith*, C Mayo, University of Michigan, Ann Arbor, MI |
| BReP-SNAP-M-109 | On the Impact of Image Rotation On Quantitative Textural Features in Radiomics Analysis H Bagher-Ebadian1*, I Chetty1, (1) Henry Ford Health System, Detroit, MI |
| BReP-SNAP-M-115 | Prediction of Radiation Pneumonitis After Lung Stereotactic Body Radiation Therapy Using Dosiomics Features: A Retrospective Multi-Institutional Study T Adachi1,2*, M Nakamura1,2, T Shintani2, T Mitsuyoshi2,3, R Kakino1,2, T Ogata3, H Tanabe3, T Ono2, H Hirashima2, T Sakamoto4, M Kokubo3, Y Matsuo2, T Mizowaki2, (1) Department of Information Technology and Medical Engineering, Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan, (2) Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, Kyoto, Japan, (3) Department of Radiation Oncology, Kobe City Medical Center General Hospital, Hyogo, Japan(4) Department of Radiation Oncology, Kyoto Katsura Hospital, Kyoto, Japan |
| BReP-SNAP-M-147 | Update On DVH Analytics: An Open-Source DICOM-RT Database Application D Cutright1*, M Gopalakrishnan2, A Roy3, (1) University of Chicago Medicine, Chicago, IL, (2) Northwestern Memorial Hospital, Chicago, IL, (3) The University of Texas at San Antonio, San Antonio, TX |
| PO-GeP-I-125 | Good Methodological Practices in Radiomics: FAIR-Inspired Strategies for Managing and Preserving Costly Information G Couture*, D LeBlanc, L Archambault, P Despres, CHU de Quebec - Universite Laval, Quebec, QC, 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-M-62 | Anonymization of DICOM Files in HTML5 Based Web Browser for Radiation Therapy P Rana, W Sleeman*, M Poblacion, J Palta, P Ghosh, R Kapoor, Virginia Commonwealth University, Richmond, VA |
| PO-GeP-M-63 | Application of Kilovoltage Cone-Beam CT Images in Extracting Radiomics Signature for Predicting Radiation-Induced Pneumonitis Y Huang*, H Liu, R Yu, Y Pu, Y Zhang#, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, BeijingCN, #corresponding author: Yibao Zhang; email: zhangyibao@pku.edu.cn |
| PO-GeP-M-68 | Assessing the Dosimetric Links Between Organ-At-Risk Delineation Variability and Treatment Planning Variability W Choi1,2, V Leandro Alves2*, E Aliotta2, H Nourzadeh2, J Siebers2, (1) Virginia State University, Petersburg, VA, (2) University of Virginia, Charlottesville, VA |
| PO-GeP-M-86 | Building Workflow Automation of Radiotherapy Platform Via Data Lake Approach A Li*, L Cervino, M Hunt, J Mechalakos, L Santanam, P Zhang, J Deasy, Memorial Sloan Kettering Cancer Center, New York, NY |
| PO-GeP-M-125 | Creation of An Automated Hand-Crafted Radiomics Methodology and Assessment of Its Potential to Contribute to a Prospective Trial E Carver*, J Snyder, D Bergman, M Shah, S Siddiqui, N Wen, Henry Ford Health System, Detroit, MI |
| PO-GeP-M-131 | Data Collection for Radiation Oncology Big Data Initiatives: An Integrated Clinical Workflow Based Solution R Kapoor1*, W Sleeman1, J Palta1, (1) Virginia Commonwealth University, Richmond, VA |
| PO-GeP-M-150 | Development and Validation of a Web-Crawler-Based Medical Records Information Aggregation Tool H Liu*, Y Huang, Y Pu, H Wu, Y Zhang#, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, BeijingCN,#corresponding author: Yibao Zhang; email: zhangyibao@pku.edu.cn |
| PO-GeP-M-163 | Domain Classification and Analysis of National Institutes of Health Funded Medical Physics Research M Scarpelli1*, B Whelan2, K Farahani3, (1) Barrow Neurological Institute, Phoenix, AZ, (2) Siemens Healthineers, Forcheim, BY, DE, (3) National Cancer Institute, Bethesda, MD |
| PO-GeP-M-195 | Evaluating the Efficacy of Regression Models in Radiomics: A Study with NSCLC Patients HHF Choi1*, (1) ,Vancouver, BC, CA |
| PO-GeP-M-218 | Feasibility of An Assisted Chart Review for Assessing the Development of Radiation Pneumonitis Jordan McKenzie(1), Jinying Wu(2), Hua Shen(2), Shan Rajapakshe(3), Rasika Rajapakshe(4,5), Angela Lin(5,6) (1) Northern Medical Program, Faculty of Medicine, University of British Columbia; (2) Department of Mathematics & Statistics, University of Calgary; (3) Island Medical Program, Faculty of Medicine, University of British Columbia; (4) Medical Physics, BC Cancer Kelowna; (5) Department of Surgery, Faculty of Medicine, University of British Columbia; (6) Radiation Oncology, BC Cancer Kelowna. |
| PO-GeP-M-228 | Functional Programming and Immutable Data in Treatment Planning Systems N Depauw*, T Madden, H Kooy, Massachusetts General Hospital, Boston, MA |
| PO-GeP-M-236 | High Resolution Spectroscopic MRI and Scripting: Towards Automated Planning for a Multi-Center Clinical Trial E Schreibmann, K Ramesh*, H Shu, H Shim, Department of Radiation Oncology and Winship Cancer Institute of Emory University |
| PO-GeP-M-289 | Machine Learning Models in Predicting Pathological Complete Response After Neo-Adjuvant Chemoradiation for Locally Advanced Rectal Cancer Y Zhang1,2*, M diMayorca1,3, L Shi4, X Sun4, S Jabbour1, Y Zhang1, N Yue1, K Nie1, (1) Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ (2) Department of Radiology, University of California,Irvine, CA, (3) Columbia University, New York (4) Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang Univ., Hangzhou, ,CN, |
| PO-GeP-M-334 | Prediction of Uterus Volume Shrinkage for Cervical Cancer Patients During Radiotherapy Using Machine-Learning Approach with Treatment Planning-CT Radiomic Features M Nakano1*, T Nakamoto2, Y Kumai1, Y Koizumi1, M Sumi1, K Nawa2, T Imae2, Y Yoshioka1, M Oguchi1, (1) Cancer Institute Hospital of JFCR, Koto-ku, Tokyo, JP, (2) The University of Tokyo Hospital, Bunkyo-ku, Tokyo, JP |
| PO-GeP-M-336 | Producing Clinical Data in Real-Time From An Automated and Paperless Workflow Implemented in Our Oncology Information System H Miras del Rio1*, A Bertolet Reina2, A Wals1, J Macias1, (1) Hospital Universitario Virgen Macarena, Seville (SPAIN), ,(2) University of Pennsylvania, Philadelphia, PA |
| PO-GeP-M-337 | Prognostic Prediction for Lung Stereotactic Body Radiotherapy Using Breath-Hold CT-Based Radiomic Features with Random Survival Forest: A Multi-Institutional Study R Kakino1,2,3*, M Nakamura1,2, T Mitsuyoshi2,4, T Shintani2, M Kokubo4, Y Negoro5, M Fushiki6, M Ogura7, S Itasaka8, C Yamauchi9, S Otsu10, T Sakamoto11, M Sakamoto12, N Araki13, H Hirashima2, T Adachi1,2, Y Matsuo2, T Mizowaki2, (1) Division of Medical Physics, Department of Information Technology and Medical Engineering, Human Health Sciences, Graduate School of Medicine, Kyoto University, (2) Department of Radiation Oncology and Image-applied Therapy, Graduate School of Medicine, Kyoto University, (3) Research Fellow at Japan Society for the Promotion of Science, (4) Department of Radiation Oncology, Kobe City Medical Center General Hospital, (5) Department of Radiology, Tenri Hospital, (6) Department of Radiation Oncology, Nagahama City Hospital, Nagahama, (7) Department of Radiation Oncology, Kishiwada City Hospital, Kishiwada , (8) Department of Radiation Oncology, Kurashiki Central Hospital, (9) Department of Radiation Oncology, Shiga General Hospital, (10) Department of Radiation Oncology, Kyoto City Hospital, (11) Department of Radiation Oncology, Kyoto-Katsura Hospital, (12) Department of Radiology, Japanese Red Cross Fukui Hospital, (13) Department of Radiation Oncology, National Hospital Organization Kyoto Medical Center |
| PO-GeP-M-371 | ROdiomX: A New Validated Software for the Radiomics Analysis of Medical Images in Radiation Oncology H Bagher-Ebadian1*, M Lu1, F Siddiqui1, A Ghanem1, N Wen1, Q Wu1, B Movsas1, I Chetty1, (1) Henry Ford Health System, Detroit, MI |
| PO-GeP-M-395 | The Content-Based Standardizing Nomenclatures (CBSN) in Radiotherapy for Nasopharyngeal Carcinoma OARs X MAI1,2, S HUANG1,2, Z Zhong1,2, W Zheng1,3, S Chen1,2, S Zhou2, S Huang1, Y XIA1, X HUANG1, X Yang1*, (1) Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, Guangdong, 510060, China,(2) XinHua College of Sun Yat-sen University, Guangzhou, Guangdong, 510520, China, (3)Southern Theater Air Force Hospital of the People's Liberation Army, Guangzhou, Guangdong, 510050, China |
| PO-GeP-M-396 | The Correction Term of a Three-Pool Kinetic Model for In Vitro Anaerobic Glycolysis Under MRI C Hsieh1,2*, K Lu2,3, G Lin2,3, C Wu4, F Chen4,5, (1) Institute for Radiological Research, Chang Gung University, Taoyuan, TW, ROC, (2) Imaging Core Lab, Chang Gung Memorial Hospital, Linkou, Taoyuan, TW, ROC (3) Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Linkou, Taoyuan, TW, ROC (4) Radiation Biology Core Lab., Chang Gung Memorial Hospital, Linkou, Taoyuan, TW, ROC (5) Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, TW, ROC |
| PO-GeP-P-51 | ArchiveDicomizer--Bring Buried Clinical Data Into New Life W Lu1*, Y Yan1, M Chen1, (1) UT Southwestern Medical Center, Dallas, TX |
| PO-GeP-P-75 | Design and Implementation of Data Archiving System for Radiotherapy Treatment Plans P Huang*, J Dai, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, 11CN, |
| PO-GeP-T-254 | Data-Driven Dose Volume Histogram Prediction M Polizzi1*, R Watkins2, W Watkins3, (1) Virginia Commonwealth University, Richmond, VA, (2) Virginia Polytechnic Institute and State University, Department of Computational Modeling and Data Analytics, (3) University of Virginia, Charlottesville, VA |
| PO-GeP-T-596 | Mosaiq Integrated Digital Whiteboard A Kalet1, J Meyer1, N Cao1*, L Young1, M Lavilla2, (1) University of Washington Medical Center, Seattle, WA, (2) Seattle Cancer Care Alliance, Seattle, WA |
| PO-GeP-T-620 | Orchestrating Clinical and Technical Data Flow to Drive Automation of Treatment Planning B Carozza, F Girard, L Etienne, A Lauzon*, M Hinse, F Hobeila, CISSS de Laval, Laval, Quebec, CA |
| PO-GeP-T-700 | Reduction of Interobserver Contouring Variations Through a Retrospective, Evidence-Based Intervention H Patrick1*, L Souhami2, J Kildea1,2, (1) McGill University, Montreal, QC, CA, (2) McGill University Health Centre, Montreal, QC, CA, |
| PO-GeP-T-736 | Standardization of CSI Treatment Planning and Its Evaluation Using a DVH Registry E Sepulveda, MSc*, H Patrick, MSc, J Kildea, PhD, McGill University, Montreal, QCCA, |
| SU-E-TRACK 3-4 | Multi-Institutional Data Mining of IMRT QA Results and Control Charts Per TG-218 Using the Open-Source Software IQDM J George1*, S Kucuker Dogan2, M Chamberland3, D Cutright1, (1) University of Chicago Medicine, Chicago, IL, (2) Northwestern Memorial Hospital, Chicago, IL, (3) The University of Vermont Medical Center, Burlington, VT |
| TU-EF-TRACK 3-4 | Automated Plan Check Software Using a Multi-Layered Rules and AI Based Approach Samuel M.H. Luk*, Landon S. Wootton, Alan M. Kalet, University of Washington Medical Center, Seattle, WA |