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Goal-Driven Beam Setting Optimization for Whole-Breast Radiation Therapy.

dc.contributor.author Wang, Wentao
dc.contributor.author Sheng, Yang
dc.contributor.author Yoo, Sua
dc.contributor.author Blitzblau, Rachel C
dc.contributor.author Yin, Fang-Fang
dc.contributor.author Wu, Q Jackie
dc.date.accessioned 2019-10-01T14:03:38Z
dc.date.available 2019-10-01T14:03:38Z
dc.date.issued 2019-01
dc.identifier.issn 1533-0346
dc.identifier.issn 1533-0338
dc.identifier.uri https://hdl.handle.net/10161/19367
dc.description.abstract PURPOSE:To develop an automated optimization program to generate optimal beam settings for whole-breast radiation therapy driven by clinically oriented goals. MATERIALS AND METHODS:Forty patients were retrospectively included in this study. Each patient's planning images, contoured structures of planning target volumes, organs-at-risk, and breast wires were used to optimize for patient-specific-beam settings. Two beam geometries were available tangential beams only and tangential plus supraclavicular beams. Beam parameters included isocenter position, gantry, collimator, couch angles, and multileaf collimator shape. A geometry-based goal function was defined to determine such beam parameters to minimize out-of-field target volume and in-field ipsilateral lung volume. For each geometry, the weighting in the goal function was trained with 10 plans and tested on 10 additional plans. For each query patient, the optimal beam setting was searched for different gantry-isocenter pairs. Optimal fluence maps were generated by an in-house automatic fluence optimization program for target coverage and homogeneous dose distribution, and dose calculation was performed in Eclipse. Automatically generated plans were compared with manually generated plans for target coverage and lung and heart sparing. RESULTS:The program successfully produced a set of beam parameters for every patient. Beam optimization time ranged from 10 to 120 s. The automatic plans had overall comparable plan quality to manually generated plans. For all testing cases, the mean target V95% was 91.0% for the automatic plans and 88.5% for manually generated plans. The mean ipsilateral lung V20Gy was lower for the automatic plans (15.2% vs 17.9%). The heart mean dose, maximum dose of the body, and conformity index were all comparable. CONCLUSION:We developed an automated goal-driven beam setting optimization program for whole-breast radiation therapy. It provides clinically relevant solutions based on previous clinical practice as well as patient specific anatomy on a substantially faster time frame.
dc.language eng
dc.publisher SAGE Publications
dc.relation.ispartof Technology in cancer research & treatment
dc.relation.isversionof 10.1177/1533033819858661
dc.subject automation
dc.subject beam geometry
dc.subject breast cancer
dc.subject optimization
dc.subject treatment planning
dc.subject whole breast radiation therapy
dc.title Goal-Driven Beam Setting Optimization for Whole-Breast Radiation Therapy.
dc.type Journal article
duke.contributor.id Yoo, Sua|0338101
duke.contributor.id Blitzblau, Rachel C|0525412
duke.contributor.id Yin, Fang-Fang|0334491
duke.contributor.id Wu, Q Jackie|0378401
dc.date.updated 2019-10-01T14:03:37Z
pubs.begin-page 1533033819858661
pubs.organisational-group School of Medicine
pubs.organisational-group Duke
pubs.organisational-group Radiation Oncology
pubs.organisational-group Clinical Science Departments
pubs.organisational-group Duke Cancer Institute
pubs.organisational-group Institutes and Centers
pubs.organisational-group Duke Kunshan University Faculty
pubs.organisational-group Duke Kunshan University
pubs.publication-status Published
pubs.volume 18
duke.contributor.orcid Blitzblau, Rachel C|0000-0002-4296-2238
duke.contributor.orcid Yin, Fang-Fang|0000-0002-2025-4740


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