{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,4]],"date-time":"2025-05-04T08:22:52Z","timestamp":1746346972163},"reference-count":32,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2013,5,6]],"date-time":"2013-05-06T00:00:00Z","timestamp":1367798400000},"content-version":"vor","delay-in-days":5,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Applied Clin Med Phys"],"published-print":{"date-parts":[[2013,5]]},"abstract":"<jats:p>In step\u2010and\u2010shoot IMRT plans, aperture\u2010based optimization (or one\u2010step optimization) has been considered as a means of improving monitor unit (MU) efficiency compared to fluence\u2010based optimization (or two\u2010step optimization). However, the extent of improvement on MU efficiency varies, depending on the implementation and design of one\u2010step optimization. In this paper, we attempted to investigate MU efficiency issue in two methods of one\u2010step optimization implemented in two commercial treatment planning systems (TPSs). Five patients with nasopharyngeal cancer and five patients with advanced prostate cancer were selected for this study. For these patients, clinically used IMRT plans were generated using the Direct Machine Parameter Optimization (DMPO) in the Pinnacle TPS. New IMRT plans were created using the Direct Aperture Optimization (DAO) method in the Panther TPS. For the purpose of this study, we used the similar planning dose objectives and beam configurations with a similar total number of segments in each pair of DMPO and DAO plans. With similar plan quality, DMPO plans required more MUs than DAO plans. The average number of MUs (expressed in mean <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/acm20232-math-0001.png\" xlink:title=\"urn:x-wiley:15269914:media:acm20232:acm20232-math-0001\" \/> SD) for the DMPO and DAO plans was <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/acm20232-math-0002.png\" xlink:title=\"urn:x-wiley:15269914:media:acm20232:acm20232-math-0002\" \/> and <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/acm20232-math-0003.png\" xlink:title=\"urn:x-wiley:15269914:media:acm20232:acm20232-math-0003\" \/> for the nasopharynx cases, and <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/acm20232-math-0004.png\" xlink:title=\"urn:x-wiley:15269914:media:acm20232:acm20232-math-0004\" \/> and <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/acm20232-math-0005.png\" xlink:title=\"urn:x-wiley:15269914:media:acm20232:acm20232-math-0005\" \/> for the prostate cases, respectively. The average segment areas (expressed in mean <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/acm20232-math-0006.png\" xlink:title=\"urn:x-wiley:15269914:media:acm20232:acm20232-math-0006\" \/> SD) for the DMPO plans were smaller than those for the DAO plans: <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/acm20232-math-0007.png\" xlink:title=\"urn:x-wiley:15269914:media:acm20232:acm20232-math-0007\" \/> vs. <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/acm20232-math-0008.png\" xlink:title=\"urn:x-wiley:15269914:media:acm20232:acm20232-math-0008\" \/> for the nasopharynx cases, and <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/acm20232-math-0009.png\" xlink:title=\"urn:x-wiley:15269914:media:acm20232:acm20232-math-0009\" \/> vs. <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/acm20232-math-0010.png\" xlink:title=\"urn:x-wiley:15269914:media:acm20232:acm20232-math-0010\" \/> for the prostate cases, respectively. In conclusion, two one\u2010step optimization algorithms, DMPO and DAO, resulted in much different MU efficiency with the similar number of segments and optimization parameters. This MU difference is largely attributed to the fact that large area segments are used more often in DAO plans than in DMPO plans.<\/jats:p><jats:p>PACS number: 87.55.de<\/jats:p>","DOI":"10.1120\/jacmp.v14i3.4056","type":"journal-article","created":{"date-parts":[[2017,2,27]],"date-time":"2017-02-27T23:05:58Z","timestamp":1488236758000},"page":"232-243","source":"Crossref","is-referenced-by-count":8,"title":["Relationship of segment area and monitor unit efficiency in aperture\u2010based IMRT optimization"],"prefix":"10.1002","volume":"14","author":[{"given":"Peng","family":"Qi","sequence":"first","affiliation":[{"name":"Department of Radiation Oncology Cleveland Clinic  Cleveland OH USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ping","family":"Xia","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Cleveland Clinic  Cleveland OH 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