Improved planning time and plan quality through multicriteria optimization for intensity-modulated radiotherapy

被引：151

作者：

Craft, David L. ^{[1
]}

Hong, Theodore S. ^{[1
]}

Shih, Helen A. ^{[1
]}

Bortfeld, Thomas R. ^{[1
]}

机构：

[1] Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, United States

来源：

International Journal of Radiation Oncology Biology Physics | 2012年 / 82卷 / 01期

关键词：

Inverse problems - Pareto principle - Radiotherapy;

D O I：

10.1016/j.ijrobp.2010.12.007

中图分类号：

学科分类号：

摘要：

Purpose: To test whether multicriteria optimization (MCO) can reduce treatment planning time and improve plan quality in intensity-modulated radiotherapy (IMRT). Methods and Materials: Ten IMRT patients (5 with glioblastoma and 5 with locally advanced pancreatic cancers) were logged during the standard treatment planning procedure currently in use at Massachusetts General Hospital (MGH). Planning durations and other relevant planning information were recorded. In parallel, the patients were planned using an MCO planning system, and similar planning time data were collected. The patients were treated with the standard plan, but each MCO plan was also approved by the physicians. Plans were then blindly reviewed 3 weeks after planning by the treating physician. Results: In all cases, the treatment planning time was vastly shorter for the MCO planning (average MCO treatment planning time was 12 min; average standard planning time was 135 min). The physician involvement time in the planning process increased from an average of 4.8 min for the standard process to 8.6 min for the MCO process. In all cases, the MCO plan was blindly identified as the superior plan. Conclusions: This provides the first concrete evidence that MCO-based planning is superior in terms of both planning efficiency and dose distribution quality compared with the current trial and error-based IMRT planning approach. Copyright © 2012 Elsevier Inc. Printed in the USA. All rights reserved.

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