DISCLAIMER:
Entry of taxonomy/keywords during proffered abstract submission was optional.
Not all abstracts will appear in search results.
Keywords: lung
| MO-C930-IePD-F6-4 | Deep Inspiration Breath Hold (DIBH) for Lung SABR Under Mechanically-Assisted and Non-Invasive Ventilation (MANIV) L Vander Veken*, G Van Ooteghem, B Ghaye, A Razavi, X Geets, Imagerie Moleculaire et Radiotherapie Experimentale Brussels BE |
| MO-E115-IePD-F7-3 | Implementation of Novel Treatment Planning Strategies to Reduce Cardiac Dose in Locally Advanced Non-Small Cell Lung Cancer Patients J Kim*, J Dewalt, A Feldman, K Adil, B Movsas, I Chetty, Henry Ford Health System, Detroit, MI |
| MO-FG-BRB-6 | Explainable Machine Learning for Predicting Overall Survival of Patients with Locally Advanced Non-Small Cell Lung Cancer Treated with Photon and Proton Radiotherapy L Duan1*, S Lee1, R Caruana2, T Kegelman1, S Feigenberg1, Y Xiao1 (1) Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA (2) Microsoft Research, Redmond, WA |
| MO-FG-BRB-10 | An Integrated Machine Learning and Biomechanical Modeling Guided Deformable Image Registration Framework for Consistent Parenchymal Tissue Tracking in Lung CT Scans B Stiehl*, M Lauria, L Naumann, D O'Connell, P Boyle, I Barjaktarevic, D Low, A Santhanam, UCLA, Los Angeles, CA |
| MO-G-BRC-3 | First Experimental Demonstration of Time-Resolved Plastic Scintillation Dosimetry On An MR-Linac P Uijtewaal1*, P Borman1, B Cote2, Y Lechasseur2, J Turcotte2, S Lambert-girard2, P Woodhead1, S Woodings1, W de Vries1, R Flores3, S Smith3, B Raaymakers1, M Fast1, (1) Umc Utrecht, (2) Medscint, Inc., Quebec, QC, CA, (3) Modus Medical Devices, Inc., London, ON, CA |
| MO-I430-BReP-F1-2 | Diagnostic Performance of Lung Cancer Screening On Low Dose CT C Read*, T Tailor, K Smith, M Cerullo, L Strickland, C Wang, B Tong, K Lafata, Duke University Medical Center, Durham, NC |
| MO-I430-BReP-F2-5 | Development and Validation of Strong Tesla Electron Return Effect Reduction (STEER) Planning Technique for Centrally Located Lung Radiotherapy with MR-Linac System J Visak*, B Cai, M Lin, A Pompos, A Godley, P Iyengar, C Park, K Westover, University of Texas Southwestern Medical Center, Dallas, TX |
| PO-GePV-I-85 | Chest X-Ray Enhancement Based On Bone-Suppression Model Using Multi-Dilated-Rate Strategy Z Chen*, H Sun, L Song, G Ren, J Yang, J Cai, The Hong Kong Polytechnic University, Hong Kong |
| PO-GePV-M-65 | A Comparative Evaluation of Radiomic Feature Selection and Machine Learning Models for Clinical Outcome Prediction in Lung Cancer G Ge*, J Zhang, University of Kentucky, Lexington, KY |
| PO-GePV-M-96 | Assessing the Ability to Detect Lung Target Amplitude Changes Between 3D CBCT and 4D CBCT by Geometric and Dosimetric Evaluation C Baley*, N Kirby, S Stathakis, N Papanikolaou, D Saenz, University of Texas HSC SA, San Antonio, TX |
| PO-GePV-M-144 | Generation of Synthetic CT From CBCT Images to Reconstruct Dose for Lung Cancer Radiotherapy D Patel1*, T Stanescu2, J-P Bissonnette2, (1) University of Toronto, Toronto, ON, CA, (2) Princess Margaret Cancer Centre, Toronto, ON, CA |
| PO-GePV-M-162 | Variation in Relative Left and Right Diaphragm Positions Across Imaging Sessions Using CT Simulation and Cone-Beam CT Images M Lauria1*, K Singhrao2, J Lewis3, D O'Connell1, W Lin4, A Santhanam1, L Naumann1, B Stiehl1, P Boyle1, P Lee5, D Low1, (1) UCLA, Los Angeles, CA, (2) UCSF, San Francisco, CA, (3) Cedars-Sinai Medical Center, Pacific Palisades, CA, (4) Pepperdine University, Malibu, CA, (5) MD Anderson Cancer Center, Houston, TX |
| PO-GePV-M-177 | Determination of the Elastostatic Force Exerted in the Lungs During Breathing From Image Registration S Bhandari*,A Bain, J Jung, , East Carolina Univ, Greenville, NC |
| PO-GePV-M-178 | Lymphocyte-Sparing Radiotherapy: Reducing Dose to Lymphocyte-Related Organs at Risk in Locally Advanced Lung Cancer N Bassiri, M Daly, T Yamamoto*, UC Davis School of Medicine, Sacramento, CA |
| PO-GePV-M-179 | Consistency Between Two Independent Methods of Lobe-Wise Ventilation Calculation From Free-Breathing CT M Lauria*, B Stiehl, D O'Connell, A Santhanam, L Naumann, P Boyle, I Barjaktarevic, D Low, UCLA, Los Angeles, CA |
| PO-GePV-M-183 | A Hybrid Framework to Quantitatively Assess Deformable Image Registration Accuracy with a Complete Implementation of TG-132 Based Validation L Naumann*, B Stiehl, M Lauria, P Boyle, D Low, A Santhanam, UCLA, Los Angeles, CA |
| PO-GePV-M-188 | How Fiducial Bracketing Affects Lung Tumor Tracking W Belcher*, J Jung, A Ju, K Yang, S Sharma, East Carolina Univ, Greenville, NC |
| PO-GePV-M-209 | Automated Clinical Target Volume (CTV) Delineation Using Deep 4D Neural Networks with Enhanced OAR Sparing in Radiation Therapy of Non-Small Cell Lung Cancer (NSCLC) Y Xie1*, K Kang2, Y Wang3, M Khandekar4, H Willers5, F Keane6, T Bortfeld7, (1) Massachusetts General Hospital, Boston, MA, (2) Independent Researcher, ,,(3) Massachusetts General Hospital, Boston, MA, (4) Massachusetts General Hospital, ,,(5) Massachusetts General Hospital, Boston, MA, (6) Massachusetts General Hospital, ,,(7) Massachusetts General Hospital, Boston, MA |
| PO-GePV-M-351 | Three-Dimensional Dose-Function Data-Based Deep Convolutional Neural Network for Predicting Pulmonary Toxicity After Radiotherapy for Lung Cancer Y Fujita1*, Y Nakajima1, D Kawahara2, T Kimura3, T Yamamoto4, (1) Komazawa University, Tokyo, JP, (2) Hiroshima University, Hiroshima, JP, (3) Kochi University, Kochi, JP, (4) UC Davis School of Medicine, Sacramento, CA |
| PO-GePV-M-354 | 4DCT Based Ventilation Imaging Correlation to Pulmonary Function Test for SBRT Lung Patients T Lin*1, J Piskorski1, M Blau1, A Ritter2, J Shah2, C Ma1, (1)Fox Chase Cancer Center, Temple University, Philadelphia, PA (2) Siemens Healthineers |
| PO-GePV-T-4 | Simulation of 4DCT Phase-Based Measurement Errors in Tumor Size and Motion L Naumann*, R Savjani, M Lauria, B Stiehl, P Boyle, A Santhanam, D Low, UCLA, Los Angeles, CA |
| PO-GePV-T-114 | Dosiomics in the Prediction of Local Recurrences of Non-Small Cell Lung Cancers Treated with Stereotactic Body Radiation Therapy M diMayorca1*, T Wilhite1, M Tavakoli1, K Nie2. (1) University of Pittsburgh School of Medicine and UPMC Hillman Cancer Center, Pittsburgh, PA, (2) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ. |
| PO-GePV-T-185 | Evaluation and Short-Term Outcomes of Proton SBRT Using Pencil Beam Scanning for Solitary NSCLC C Shang, MB*, G Evans, M Rahman, T Williams, S. Florida Proton Therapy Institute, Delray Beach, FL |
| PO-GePV-T-308 | Anatomic Optimization of VMAT Field Arrangement and Isocenter Placement for Cardiac Sparing Whole-Lung Radiation Therapy J Teruel*, P Galavis, A Mccarthy, B Cooper, D Barbee, NYU Langone Health, New York, NY |
| PO-GePV-T-407 | Differences Between AcurosXB and AAA On Collimator Angle in VMAT-SBRT for Lung Tumor Y Yamanaka1*, K Inoue2, Y Suetsugu3, M Tateishi1, T Hirose4, J Fukunaga4, T Yoshitake1, T Sasaki5, K Atsumi1, (1) Kyushu University, Fukuoka-shi, 40, JP, (2) Steel Memorial Yawata Hosp., Kitakyushu-shi, Fukuoka-ken, 40, JP, (3) Hos. of the Univ. of Occupational and Environmental Health, Kitakyushu-shi, Fukuoka-ken, 40, JP, (4) Kyushu Univ. Hosp., Fukuoka-shi, Fukuoka-ken, 40, JP, (5) Iizuka Hosp.,Iizuka-shi, Fukuoka-ken, 40,JP, |
| PO-GePV-T-412 | Lowering Modulation Factor in Lung SBRT Plans While Observing RTOG Constraints A Boria1*, G Narayanasamy1, M Bimali2, D Desai3, F Kalantari1, P Sabouri1, Z Su1, (1) University of Arkansas for Medical Sciences, Little Rock, AR, (2) Nexus Institute for Research and Innovation, Lalitpur, Nepal, (3) Memorial Hospital, Chattanooga, TN. |
| PO-GePV-T-433 | Comparison of the Dose Distribution to Organs at Risk for Right and Left Lung Tumors From SBRT Radiation Treatments Created for Trilogy and Radixact Treatment Machines A Kumari1*, S Klash2, (1) Rutgers University, New Jersey, (2) VAPHS, Pittsburgh, PA |
| SU-E-201-5 | Delineating Functional Lung Volume by Combining DECT Derived Perfused Blood Volume and 4DCT Derived Ventilation Maps for Radiation Treatment Planning G Noid1*, A Tai1, E Gore1, J Shah2, X Li1, (1) Medical College of Wisconsin, Milwaukee, WI, (2) Siemens Healthineers, Durham, NC |
| SU-E-201-7 | Physics-Informed Machine Learning for Estimating Pulmonary Perfusion From Non-Contract 4DCT Y Liu1*, A Nowacki1, R Castillo2, Y Vinogradskiy3, G Nair4, C Stevens4, E Castillo1, (1) University of Texas at Austin, Austin, TX, (2) Emory University, Atlanta, GA, (3) Thomas Jefferson University, Philadelphia, PA, (4) William Beaumont Hospital, Royal Oak, MI |
| SU-F-BRC-1 | Evaluation of Variables Predicting Pulmonary Function Test (PFT) Changes for Lung Cancer Patients Treated On a Prospective 4DCT-Ventilation Functional Avoidance Clinical Trial N Ghassemi1*, R Castillo2, E Castillo3, B Jones4, M Miften5, B Kavanagh6, B Lu7, M Werner-Wasik8, R Miller9, J Barta10, I Grills11, T Guerrero12, C Rusthoven13, Y Vinogradskiy14, (1) Thomas Jefferson University Hospital, Philadelphia, PA, (2) Emory University, Atlanta, GA, (3) University of Texas at Austin, Austin, TX, (4) University of Colorado School of Medicine, Aurora, CO, (5) University of Colorado School of Medicine, Aurora, CO, (6) University of Colorado School of Medicine, Aurora, CO, (7) University of Florida, Gainesville, FL, (8) Sidney Kimmel Cancer Center at Thomas Jefferson University Hospital, Philadelphia, ,(9) Thomas Jefferson University, ,,(10) Thomas Jefferson University, ,,(11) Beaumont Health System, Royal Oak, MI, (12) ,Royal Oak, MI, (13) University Of Colorado Anschutz Medical Campus, ,,(14) Thomas Jefferson University, Philadelphia, PA |
| SU-H330-IePD-F8-4 | Characterization of Functional Lung Tissue M Rodriguez1,2, A Wright1,2, WT Watkins1*, (1) City of Hope Medical Center, Duarte, CA (2) University of California Riverside, Riverside, CA |
| SU-H330-IePD-F8-5 | A Novel Super-Voxel Method for Generating Robust Lung Ventilation Image From CT Z Chen*, Y Huang, G Ren, J Cai, The Hong Kong Polytechnic University, Hung Hom, Kowloon |
| SU-H400-IePD-F5-3 | A Comparative Study of Radiomics and Deep-Learning Approaches for Predicting Surgery Outcomes in Early-Stage Non-Small Cell Lung Cancer (NSCLC) H Zhang1, Z Yang2, B Ackerson2, Z Hu1, M Khazaieli2, C Kelsey2, F Yin2, C Wang2*, (1) Duke Kunshan University, Kunshan, Jiangsu, China, (2) Duke University, Durham, NC |
| SU-K-BRC-6 | High-Resolution Ultrashort Echo Time (UTE) 4D MRI with Camera-Based Respiratory Motion Sensing for Lung Cancer Radiotherapy Treatment Planning and Monitoring C Wu1*, G Krishnamoorthy2, V Yu3, E Subashi4, A Rimner5, R Otazo6, (1) Memorial Sloan Kettering Cancer Center, New York, NY, (2) Philips Healthcare, MR R&D, Rochester, MN, (3) Memorial Sloan Kettering Cancer Center, New York, NY, (4) Memorial Sloan Kettering Cancer Center, New York, NY, (5) Memorial Sloan-Kettering Cancer Center, New York, NY, (6) Memorial Sloan Kettering Cancer Center, New York, NY |
| SU-K-BRC-7 | Impact of Visual Biofeedback On Breathing Regularity During 4D-MRI Acquisition On the MR-Linac K Keijnemans*, P Borman, B Raaymakers, M Fast, Department of Radiotherapy, University Medical Center Utrecht, NL |
| TH-C-202-2 | Correlation of Metabolic Tumor Response with Pulmonary Toxicity Following Risk-Adaptive Chemoradiation for Unresectable Non-Small Cell Lung Cancer: Inherent Radiosensitivity Or Immunogenicity? E Gates1*, D Hippe2, H Vesselle3, J Zeng1, S Bowen1,3, (1) University of Washington Department of Radiation Oncology, Seattle, WA, (2) Fred Hutchinson Cancer Research Center, Seattle, WA, (3) University Of Washington Department of Radiology, Seattle, WA |
| TH-D-207-5 | Hybrid Adversarial Network for Ultra-Quality Pulmonary Anatomy Imaging From Cone-Beam CT Images J Zhu1, W Chen2, Y Huang1*,A Nicol3, Y Lam4, J Cai5, G Ren6, (1) Hong Kong Polytechnic University, Hong Kong (2) Chinese Academy of Sciences, Shenzhen Advanced Technology Academe, Shenzhen,CN(3) The Hong Kong Polytechnic University, Hong Kong(4) Hong Kong Polytechnic University, Hong Kong(5) Hong Kong Polytechnic University, Hong Kong (6) Hong Kong Polytechnic University, Hong Kong |
| TH-D-BRC-6 | Outcome Prediction for Metastatic Lung Cancer Patients After Radiotherapy and Immunotherapy Using Patient, Tumor, Treatment, and Immunologic Factors Y KIM1*, I Chamseddine2, C Grassberger2, Y Cho3, W Sung1, (1) Department of Biomedical Engineering and Department of Biomedicine & Health Science, College of Medicine, The Catholic University of Korea, Seoul, South Korea (2) Department of Radiation Oncology, Massachusetts General Hospital/Harvard Medical School, United States (3) Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea |
| TH-E-BRC-1 | A Systematic Comparison of DNN-Based Lung CT Elastography Using Auto-Encoder, U-Net, Conditional and Cycle Generative Adversarial Network Techniques B Stiehl*, M Lauria, L Naumann, D O'Connell, P Boyle, I Barjaktarevic, D Low, A Santhanam, UCLA, Los Angeles, CA |
| TU-D1000-IePD-F3-4 | Lung SBRT: Quality Management for Improved Outcomes I Iftimia, A Mckee, A Nixon, H Hsu, P Halvorsen*, Beth Israel - Lahey Health/TUSM, Burlington, MA |
| TU-D1000-IePD-F4-3 | A 3D Dosimetric Data-Driven Multipath Network for Outcome Prediction in Early-Stage Non-Small Cell Lung Cancer Patients Treated with Stereotactic Body Radiotherapy T Arsenault1*, A Amini1, B George2, S Bhat2, L Bailey2, P Vempati4, B Young4, C Towe1, P Linden1, Y Sun2, N Zaorsky1, D Spratt4, R Muzic3, T Biswas4, T Podder4, (1) University Hospitals Cleveland Medical Center, Cleveland, OH, (2) Case Western Reserve University, School Of Medicine, (3) Case Western Reserve University, Department of Biomedical Engineering, (4) Seidman Cancer Center /Uh Cleveland & CWRU, OH, Cleveland, OH, |
| TU-D1000-IePD-F4-4 | SBRT Lung Treatment Planning Methods to Lower the Modulation Factor A Boria1*, G Narayanasamy1, D Desai2, F Kalantari1, P Sabouri1, Z Su1, (1) University of Arkansas for Medical Sciences, Little Rock, AR, (2) Memorial Hospital, Chattanooga, TN. |
| TU-I345-IePD-F2-3 | Using Deep Neural Network for Beam Angle Selection in 4π IMRT Planning of Patients with Lung Cancer A Sadeghnejad Barkousaraie*, M Lin, S Jiang, D Nguyen, The University of Texas Southwestern Medical Center, Dallas, TX |
| WE-B-202-5 | Scatter Correction of 4D Cone Beam Computed Tomography Images for Time-Resolved Proton Dose Calculation: First Patient Application H Schmitz1*, M Rabe1, G Janssens2, S Rit3, K Parodi4, C Belka1,5, G Landry1,4, F Kamp1,6, C Kurz1,4, (1) Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany, DE, (2) Ion Beam Applications SA, Louvain-la-Neuve, Belgium, BE, (3) Univ Lyon, INSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69373, LYON, France, FR, (4) Department of Medical Physics, Ludwig-Maximilians-Universitaet Muenchen (LMU Munich), Garching (Munich), Germany, DE, (5) German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany, DE, (6) Department of Radiation Oncology, University Hospital Cologne, Cologne, Germany, DE |
| WE-C1000-IePD-F1-3 | Automating 4DCT-Ventilation Imaging Generation Using AI-Based Advanced Lung Contours Y Chen1*, S Pahlavian2, P Jacobs2, F Forghani3, E Castillo4, R Castillo5, Y Vinogradskiy1, (1) Thomas Jefferson University, Philadelphia, PA, (2) MIM Software Inc., Beachwood, OH, (3) Washington University, Creve Coeur, MO, (4) University of Texas at Austin, Austin, TX, (5) Emory University, Atlanta, GA |
| WE-C1030-IePD-F3-2 | A New Independent Outcome Predictor for Lung Stereotactic Body Radiation Therapy Patients, Plan Averaged Beam Modulation H Liu*, C Li, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, CN |
| WE-C930-IePD-F2-3 | Development of Markerless Intra-Fraction Motion Prediction in Image-Guided Radiotherapy Based On Deep Learning D Zhou1*, M Nakamura1, N Mukumoto2, Y Matsuo3, T Mizowaki3, (1) Kyoto University, Graduate School of Medicine, Department of Human Health Sciences, Kyoto, JP, (2) Osaka City University, Graduate School of Medicine, Department of Radiation Oncology, Osaka, JP, (3) Kyoto University, Graduate School of Medicine, Department of Radiation Oncology and Image-Applied Therapy, Kyoto, ,JP |
| WE-C930-IePD-F6-5 | A Generative Adversarial Transfer Learning Framework for Predicting Lung Diaphragm and Rib-Cage Mechanics From Free and Forced Breathing Lung Imaging A Santhanam1*, B Stiehl2, M Lauria3, L Naumann4, I Barjaktarevic5, M McNitt-Gray6, D Low7, (1) University of California, Los Angeles, Los Angeles, CA, (2) ,Los Angeles, CA, (3) UCLA, Los Angeles, CA, (4) ,Los Angeles, CA, (5) University of California, Los Angeles, Los Angeles, ,(6) David Geffen School of Medicine at UCLA, Los Angeles, CA, (7) UCLA, Los Angeles, CA |