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dc.contributor.advisor Lo, Joseph Y en_US
dc.contributor.advisor Das, Shiva K en_US
dc.contributor.author Chanyavanich, V
dc.contributor.author Das, SK
dc.contributor.author Lee, WR
dc.contributor.author Lo, JY
dc.coverage.spatial United States
dc.date.accessioned 2011-05-20T19:35:48Z
dc.date.issued 2011-05
dc.identifier http://www.ncbi.nlm.nih.gov/pubmed/21776786
dc.identifier.citation Med Phys, 2011, 38 (5), pp. 2515 - 2522
dc.identifier.issn 0094-2405
dc.identifier.uri http://hdl.handle.net/10161/3879
dc.description Dissertation en_US
dc.description.abstract PURPOSE: To demonstrate the feasibility of using a knowledge base of prior treatment plans to generate new prostate intensity modulated radiation therapy (IMRT) plans. Each new case would be matched against others in the knowledge base. Once the best match is identified, that clinically approved plan is used to generate the new plan. METHODS: A database of 100 prostate IMRT treatment plans was assembled into an information-theoretic system. An algorithm based on mutual information was implemented to identify similar patient cases by matching 2D beam's eye view projections of contours. Ten randomly selected query cases were each matched with the most similar case from the database of prior clinically approved plans. Treatment parameters from the matched case were used to develop new treatment plans. A comparison of the differences in the dose-volume histograms between the new and the original treatment plans were analyzed. RESULTS: On average, the new knowledge-based plan is capable of achieving very comparable planning target volume coverage as the original plan, to within 2% as evaluated for D98, D95, and D1. Similarly, the dose to the rectum and dose to the bladder are also comparable to the original plan. For the rectum, the mean and standard deviation of the dose percentage differences for D20, D30, and D50 are 1.8% +/- 8.5%, -2.5% +/- 13.9%, and -13.9% +/- 23.6%, respectively. For the bladder, the mean and standard deviation of the dose percentage differences for D20, D30, and D50 are -5.9% +/- 10.8%, -12.2% +/- 14.6%, and -24.9% +/- 21.2%, respectively. A negative percentage difference indicates that the new plan has greater dose sparing as compared to the original plan. CONCLUSIONS: The authors demonstrate a knowledge-based approach of using prior clinically approved treatment plans to generate clinically acceptable treatment plans of high quality. This semiautomated approach has the potential to improve the efficiency of the treatment planning process while ensuring that high quality plans are developed.
dc.format.extent 2515 - 2522
dc.language eng
dc.relation.ispartof Med Phys
dc.relation.isversionof 10.1118/1.3574874
dc.subject Artificial Intelligence
dc.subject Decision Support Systems, Clinical
dc.subject Humans
dc.subject Knowledge Bases
dc.subject Male
dc.subject Prostatic Neoplasms
dc.subject Radiotherapy Planning, Computer-Assisted
dc.subject Radiotherapy, Conformal
dc.subject Retrospective Studies
dc.subject Therapy, Computer-Assisted
dc.subject Treatment Outcome
dc.title Knowledge-based IMRT treatment planning for prostate cancer.
dc.type Journal Article
dc.department Medical Physics en_US
duke.embargo.months 6 en_US
pubs.author-url http://www.ncbi.nlm.nih.gov/pubmed/21776786
pubs.issue 5
pubs.organisational-group /Duke
pubs.organisational-group /Duke/Pratt School of Engineering
pubs.organisational-group /Duke/Pratt School of Engineering/Biomedical Engineering
pubs.organisational-group /Duke/School of Medicine
pubs.organisational-group /Duke/School of Medicine/Clinical Science Departments
pubs.organisational-group /Duke/School of Medicine/Clinical Science Departments/Radiation Oncology
pubs.organisational-group /Duke/School of Medicine/Clinical Science Departments/Radiology
pubs.organisational-group /Duke/School of Medicine/Clinical Science Departments/Surgery
pubs.organisational-group /Duke/School of Medicine/Clinical Science Departments/Surgery/Surgery, Urology
pubs.organisational-group /Duke/School of Medicine/Institutes and Centers
pubs.organisational-group /Duke/School of Medicine/Institutes and Centers/Duke Cancer Institute
pubs.publication-status Published
pubs.volume 38

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