Construction of a model for the improved planning of MCO-informed VMAT in RayStation using a knowledge base of clinical IMRT-MCO treatment plans

Thesis: S.B., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, 2017.

Bibliographic Details
Main Author: Colbert, Caroline M
Other Authors: Michael P. Short.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2017
Subjects:
Online Access:http://hdl.handle.net/1721.1/112375
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author Colbert, Caroline M
author2 Michael P. Short.
author_facet Michael P. Short.
Colbert, Caroline M
author_sort Colbert, Caroline M
collection MIT
description Thesis: S.B., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, 2017.
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spelling mit-1721.1/1123752019-04-10T14:02:51Z Construction of a model for the improved planning of MCO-informed VMAT in RayStation using a knowledge base of clinical IMRT-MCO treatment plans Colbert, Caroline M Michael P. Short. Massachusetts Institute of Technology. Department of Nuclear Science and Engineering. Massachusetts Institute of Technology. Department of Nuclear Science and Engineering. Nuclear Science and Engineering. Thesis: S.B., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, 2017. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 51-53). Intensity Modulated Radiation Therapy (IMRT) is a type of external beam radiation therapy that has proven effective at treating many cancers. A related therapy type, Volumetric Modulated Arc Therapy (VMAT), has the potential to provide comparable dose coverage to tumor sites while better sparing nearby organs at risk (OARs). Multi-criteria Optimization (MCO) is an algorithm that is used to optimize a patient's personalized IMRT treatment plan. VMAT treatment plans cannot be optimized using early versions of the MCO algorithm. The purpose of this study was to construct a model for the automated generation of VMAT treatment plans for prostate cancers using a knowledge base of previously implemented IMRT-MCO treatment plans. An initial model configuration was iteratively refined to produce VMAT plans that represent a quality 'first pass" that can be further optimized by trained treatment planners. The clinical implementation of a model like this one could significantly improve the timeliness of standard non-MCO VMAT optimization methods. by Caroline M. Colbert. S.B. 2017-12-05T16:25:09Z 2017-12-05T16:25:09Z 2017 2017 Thesis http://hdl.handle.net/1721.1/112375 1011413311 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 53 pages application/pdf Massachusetts Institute of Technology
spellingShingle Nuclear Science and Engineering.
Colbert, Caroline M
Construction of a model for the improved planning of MCO-informed VMAT in RayStation using a knowledge base of clinical IMRT-MCO treatment plans
title Construction of a model for the improved planning of MCO-informed VMAT in RayStation using a knowledge base of clinical IMRT-MCO treatment plans
title_full Construction of a model for the improved planning of MCO-informed VMAT in RayStation using a knowledge base of clinical IMRT-MCO treatment plans
title_fullStr Construction of a model for the improved planning of MCO-informed VMAT in RayStation using a knowledge base of clinical IMRT-MCO treatment plans
title_full_unstemmed Construction of a model for the improved planning of MCO-informed VMAT in RayStation using a knowledge base of clinical IMRT-MCO treatment plans
title_short Construction of a model for the improved planning of MCO-informed VMAT in RayStation using a knowledge base of clinical IMRT-MCO treatment plans
title_sort construction of a model for the improved planning of mco informed vmat in raystation using a knowledge base of clinical imrt mco treatment plans
topic Nuclear Science and Engineering.
url http://hdl.handle.net/1721.1/112375
work_keys_str_mv AT colbertcarolinem constructionofamodelfortheimprovedplanningofmcoinformedvmatinraystationusingaknowledgebaseofclinicalimrtmcotreatmentplans