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Results for "Thomas R. Mazur": 5 found

Decision Support for Adaptive Vs Non-Adaptive SBRT for Left-Sided Adrenal Tumors

Authors: Robbie Beckert, Austen N. Curcuru, Farnoush Forghani, Yi Huang, Geoffrey D. Hugo, Hyun Kim, Eric Laugeman, Luke Christian Marut, Thomas R. Mazur, Allen Mo, Emily Sigmund

Affiliation: Washington University in St. Louis School of Medicine, WashU Medicine, Washington University School of Medicine in St. Louis, Wash U Medicine, Washington University in St. Louis, Department of Radiation Oncology, Washington University School of Medicine in St. Louis

Abstract Preview: Purpose: Adaptive SBRT is resource intensive, requiring additional personnel for online planning, and should be reserved for cases where it is most beneficial. The purpose of this research is to creat...

Effects of Enhanced Leaf Modeling on Single-Isocenter Multi-Target Stereotactic Radiosurgery Dose Accuracy

Authors: Thomas R. Mazur, Kevin Renick, Matthew C. Schmidt, Xiaodong Neo Zhao

Affiliation: Washington University in St. Louis School of Medicine, Washington University School of Medicine

Abstract Preview: Purpose: To compare dose calculation accuracy for single-isocenter multi-target stereotactic radiosurgery plans (SIMT-SRS) in Eclipse V18.0 with enhanced leaf model (ELM) using the anisotropic analyti...

Enhancing Robustness in Proton Therapy through Online Adaptive Workflow: An in-Silico Study

Authors: Robbie Beckert, Weiren Liu, Thomas R. Mazur, Allen Mo, Stephanie Perkins, Hailei Zhang, Tianyu Zhao

Affiliation: Washington University in St. Louis School of Medicine, University of South Florida, WashU Medicine

Abstract Preview: Purpose: Online adaptation may mitigate uncertainties in proton therapy arising from interfractional anatomical changes. While robust optimization accounts for setup and range uncertainties during pla...

Lu-PSMA-Dose, a French Retrospective Multicentric Dosimetry Study of 177Lu-PSMA Treatments for Metastatic Castration-Resistant Prostate Cancer

Authors: NadÚge Anizan, Jean-Noël Badel, Thomas Baudier, David Broggio, Désirée Deandreis, Ludovic Ferrer, Didier Franck, Camilo Garcia, Jean Gasteuil, Anne-Laure Giraudet, Olivier Humbert, Laetitia Imbert, Malick Koulibaly, Stéphanie Lamart, Sébastien Leygnac, Alexandre Pignard, Caroline Rousseau, Guido Rovera, David Sarrut, Paul Schwartz, Nicolas Varmenot

Affiliation: Institut de CancĂ©rologie de l’Ouest, Service de MĂ©decine NuclĂ©aire, Gustave Roussy, Service de Physique MĂ©dicale, Institut BergoniĂ©, Service de Physique MĂ©dicale, CHRU de Nancy Brabois, Service de MĂ©decine NuclĂ©aire, Centre de lutte contre le cancer LĂ©on BĂ©rard, UniversitĂ© de Lyon, Centre Antoine Lacassagne, Service de MĂ©decine NuclĂ©aire, UniversitĂ© Nice CĂŽte d’Azur, Centre Antoine Lacassagne, Service de MĂ©decine NuclĂ©aire, Gustave Roussy, Service de MĂ©decine NuclĂ©aire, Institut de CancĂ©rologie de l’Ouest, Service de Physique MĂ©dicale, Service de MĂ©decine NuclĂ©aire, AutoritĂ© de SĂ»retĂ© NuclĂ©aire et de Radioprotection (ASNR), PSE-SANTE/SDOS/LEDI, AutoritĂ© de SĂ»retĂ© NuclĂ©aire et de Radioprotection (ASNR), PSE-SANTE/SDOS, CREATIS CNRS UMR 5220; INSERM U 1044; UniversitĂ© de Lyon; INSA‑Lyon, CREATIS CNRS UMR 5220; INSERM U 1044; UniversitĂ© de Lyon; INSA‑Lyon; Centre de lutte contre le cancer LĂ©on BĂ©rard, Institut BergoniĂ©, Service de MĂ©decine NuclĂ©aire

Abstract Preview: Purpose: The main objective of the Lu-PSMA-Dose study, sponsored by ASNR, is to estimate retrospectively the individual absorbed dose delivered to patients treated with 177Lu-PSMA for metastatic castr...

Robustness of Deep Learning-Based Motion Compensated 4D-CBCT Reconstruction to out-of-Distribution Data

Authors: Geoffrey D. Hugo, Eric Laugeman, Thomas R. Mazur, Pamela Samson, Kim A. Selting, Zhehao Zhang

Affiliation: University of Illinois, Washington University in St. Louis School of Medicine, WashU Medicine

Abstract Preview: Purpose: To investigate the robustness of a deep learning (DL)-based 4D-CBCT motion-compensated (MoCo) reconstruction method to out-of-distribution data.
Methods: Our developed 4D-CBCT reconstructi...