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MO‐E‐BRB‐01: Panel Member
Author(s) -
Benedict S.
Publication year - 2016
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.4957261
Subject(s) - modality (human–computer interaction) , medicine , medical physics , radiation treatment planning , radiology , medical imaging , session (web analytics) , radiation therapy , computer science , artificial intelligence , world wide web
In this interactive session, lung SBRT patient cases will be presented to highlight real‐world considerations for ensuring safe and accurate treatment delivery. An expert panel of speakers will discuss challenges specific to lung SBRT including patient selection, patient immobilization techniques, 4D CT simulation and respiratory motion management, target delineation for treatment planning, online treatment alignment, and established prescription regimens and OAR dose limits. Practical examples of cases, including the patient flow thought the clinical process are presented and audience participation will be encouraged. This panel session is designed to provide case demonstration and review for lung SBRT in terms of (1) clinical appropriateness in patient selection, (2) strategies for simulation, including 4D and respiratory motion management, and (3) applying multi imaging modality (4D CT imaging, MRI, PET) for tumor volume delineation and motion extent, and (4) image guidance in treatment delivery. Learning Objectives: 1. Understand the established requirements for patient selection in lung SBRT 2. Become familiar with the various immobilization strategies for lung SBRT, including technology for respiratory motion management 3. Understand the benefits and pitfalls of applying multi imaging modality (4D CT imaging, MRI, PET) for tumor volume delineation and motion extent determination for lung SBRT 4. Understand established prescription regimes and OAR dose limits