{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T15:40:14Z","timestamp":1790696414797,"version":"4.1.0"},"reference-count":24,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2013,1,7]],"date-time":"2013-01-07T00:00:00Z","timestamp":1357516800000},"content-version":"vor","delay-in-days":6,"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":[[2013,1]]},"abstract":"<jats:p>Intensity\u2010modulated radiation therapy (IMRT) has become a standard technique in radiation therapy for treating different types of cancers. Various class solutions have been developed for simple cases (e.g., localized prostate, whole breast) to generate IMRT plans efficiently. However, for more complex cases (e.g., head and neck, pelvic nodes), it can be time\u2010consuming for a planner to generate optimized IMRT plans. To generate optimal plans in these more complex cases which generally have multiple target volumes and organs at risk, it is often required to have additional IMRT optimization structures such as dose limiting ring structures, adjust beam geometry, select inverse planning objectives and associated weights, and additional IMRT objectives to reduce cold and hot spots in the dose distribution. These parameters are generally manually adjusted with a repeated trial and error approach during the optimization process. To improve IMRT planning efficiency in these more complex cases, an iterative method that incorporates some of these adjustment processes automatically in a planning script is designed, implemented, and validated. In particular, regional optimization has been implemented in an iterative way to reduce various hot or cold spots during the optimization process that begins with defining and automatic segmentation of hot and cold spots, introducing new objectives and their relative weights into inverse planning, and turn this into an iterative process with termination criteria. The method has been applied to three clinical sites: prostate with pelvic nodes, head and neck, and anal canal cancers, and has shown to reduce IMRT planning time significantly for clinical applications with improved plan quality. The IMRT planning scripts have been used for more than 500 clinical cases.<\/jats:p>\n                  <jats:p>PACS numbers: 87.55.D, 87.55.de<\/jats:p>","DOI":"10.1120\/jacmp.v14i1.4052","type":"journal-article","created":{"date-parts":[[2017,2,27]],"date-time":"2017-02-27T17:59:32Z","timestamp":1488218372000},"page":"176-191","source":"Crossref","is-referenced-by-count":82,"title":["Automated IMRT planning with regional optimization using planning scripts"],"prefix":"10.1002","volume":"14","author":[{"given":"Ilma","family":"Xhaferllari","sequence":"first","affiliation":[{"name":"Department of Medical Biophysics University of Western Ontario  London Ontario Canada"},{"name":"London Regional Cancer Program London Health Sciences Centre  London Ontario Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eugene","family":"Wong","sequence":"additional","affiliation":[{"name":"Department of Medical Biophysics University of Western Ontario  London Ontario 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