Literature DB >> 20800382

Data-driven approach to generating achievable dose-volume histogram objectives in intensity-modulated radiotherapy planning.

Binbin Wu1, Francesco Ricchetti, Giuseppe Sanguineti, Michael Kazhdan, Patricio Simari, Robert Jacques, Russell Taylor, Todd McNutt.   

Abstract

PURPOSE: To propose a method of intensity-modulated radiotherapy (IMRT) planning that generates achievable dose-volume histogram (DVH) objectives using a database containing geometric and dosimetric information of previous patients. METHODS AND MATERIALS: The overlap volume histogram (OVH) is used to compare the spatial relationships between the organs at risk and targets of a new patient with those of previous patients in a database. From the OVH analysis, the DVH objectives of the new patient were generated from the database and used as the initial planning goals. In a retrospective OVH-assisted planning demonstration, 15 patients were randomly selected from a database containing clinical plans (CPs) of 91 previous head-and-neck patients treated by a three-level IMRT-simultaneous integrated boost technique. OVH-assisted plans (OPs) were planned in a leave-one-out manner by a planner who had no knowledge of CPs. Thus, DVH objectives of an OP were generated from a subdatabase containing the information of the other 90 patients. Those DVH objectives were then used as the initial planning goals in IMRT optimization. Planning efficiency was evaluated by the number of clicks of the "Start Optimization" button in the course of planning. Although the Pinnacle(3) treatment planning system allows planners to interactively adjust the DVH parameters during optimization, planners in our institution have never used this function in planning.
RESULTS: The average clicks required for completing the CP and OP was 27.6 and 1.9, respectively (p <.00001); three OPs were finished within a single click. Ten more patient's cord + 4 mm reached the sparing goal D(0.1cc) <44 Gy (p <.0001), where D(0.1cc) represents the dose corresponding to 0.1 cc. For planning target volume uniformity, conformity, and other organ at risk sparing, the OPs were at least comparable with the CPs. Additionally, the averages of D(0.1cc) to the cord + 4 mm decreased by 6.9 Gy (p <.0001); averages of D(0.1cc) to the brainstem decreased by 7.7 Gy (p <.005). The averages of V(30 Gy) to the contralateral parotid decreased by 8.7% (p <.0001), where V(30 Gy) represents the percentage volume corresponding to 30 Gy.
CONCLUSION: The method heralds the possibility of automated IMRT planning.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20800382     DOI: 10.1016/j.ijrobp.2010.05.026

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  84 in total

1.  Evaluating inter-campus plan consistency using a knowledge based planning model.

Authors:  Sean L Berry; Rongtao Ma; Amanda Boczkowski; Andrew Jackson; Pengpeng Zhang; Margie Hunt
Journal:  Radiother Oncol       Date:  2016-07-06       Impact factor: 6.280

2.  Automating proton treatment planning with beam angle selection using Bayesian optimization.

Authors:  Vicki T Taasti; Linda Hong; Jin Sup Andy Shim; Joseph O Deasy; Masoud Zarepisheh
Journal:  Med Phys       Date:  2020-05-27       Impact factor: 4.071

3.  Knowledge-Based Tradeoff Hyperplanes for Head and Neck Treatment Planning.

Authors:  Jiahan Zhang; Yaorong Ge; Yang Sheng; Chunhao Wang; Jiang Zhang; Yuan Wu; Qiuwen Wu; Fang-Fang Yin; Q Jackie Wu
Journal:  Int J Radiat Oncol Biol Phys       Date:  2020-01-24       Impact factor: 7.038

4.  Quantifying Unnecessary Normal Tissue Complication Risks due to Suboptimal Planning: A Secondary Study of RTOG 0126.

Authors:  Kevin L Moore; Rachel Schmidt; Vitali Moiseenko; Lindsey A Olsen; Jun Tan; Ying Xiao; James Galvin; Stephanie Pugh; Michael J Seider; Adam P Dicker; Walter Bosch; Jeff Michalski; Sasa Mutic
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-04-03       Impact factor: 7.038

5.  Dose Prediction Model for Duodenum Sparing With a Biodegradable Hydrogel Spacer for Pancreatic Cancer Radiation Therapy.

Authors:  Ziwei Feng; Avani D Rao; Zhi Cheng; Eun Ji Shin; Joseph Moore; Lin Su; Seong-Hun Kim; John Wong; Amol Narang; Joseph M Herman; Todd McNutt; Dengwang Li; Kai Ding
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-07-19       Impact factor: 7.038

6.  Modeling the dosimetry of organ-at-risk in head and neck IMRT planning: an intertechnique and interinstitutional study.

Authors:  Jun Lian; Lulin Yuan; Yaorong Ge; Bhishamjit S Chera; David P Yoo; Sha Chang; FangFang Yin; Q Jackie Wu
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

7.  Outlier identification in radiation therapy knowledge-based planning: A study of pelvic cases.

Authors:  Yang Sheng; Yaorong Ge; Lulin Yuan; Taoran Li; Fang-Fang Yin; Qingrong Jackie Wu
Journal:  Med Phys       Date:  2017-09-30       Impact factor: 4.071

8.  Automated intensity modulated treatment planning: The expedited constrained hierarchical optimization (ECHO) system.

Authors:  Masoud Zarepisheh; Linda Hong; Ying Zhou; Jung Hun Oh; James G Mechalakos; Margie A Hunt; Gig S Mageras; Joseph O Deasy
Journal:  Med Phys       Date:  2019-05-29       Impact factor: 4.071

9.  Machine learning and modeling: Data, validation, communication challenges.

Authors:  Issam El Naqa; Dan Ruan; Gilmer Valdes; Andre Dekker; Todd McNutt; Yaorong Ge; Q Jackie Wu; Jung Hun Oh; Maria Thor; Wade Smith; Arvind Rao; Clifton Fuller; Ying Xiao; Frank Manion; Matthew Schipper; Charles Mayo; Jean M Moran; Randall Ten Haken
Journal:  Med Phys       Date:  2018-08-24       Impact factor: 4.071

10.  Automated volumetric modulated Arc therapy treatment planning for stage III lung cancer: how does it compare with intensity-modulated radio therapy?

Authors:  Enzhuo M Quan; Joe Y Chang; Zhongxing Liao; Tingyi Xia; Zhiyong Yuan; Hui Liu; Xiaoqiang Li; Cody A Wages; Radhe Mohan; Xiaodong Zhang
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-09-01       Impact factor: 7.038

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