Literature DB >> 21924781

Development of an online adaptive solution to account for inter- and intra-fractional variations.

X Allen Li1, Feng Liu, An Tai, Ergun Ahunbay, Guangpei Chen, Tracy Kelly, Colleen Lawton, Beth Erickson.   

Abstract

PURPOSE: The current IGRT repositioning cannot fully account for the organ deformation and rotation. We introduce a comprehensive solution using gated IMRT with online adaptive replanning to manage both inter- and intra-fractional variations. METHODS AND MATERIALS: The solution includes (1) generating respiration-gated IMRT plans based on 4DCT, (2) acquiring daily gated CT in treatment position prior to the treatment using a diagnostic-quality in-room CT (CTVision, Siemens) with the same gating window as that for the planning CT, (3) performing online repositioning or adaptive replanning based on the gated CT of the day, and (4) delivering the treatment with gating. The entire solution is demonstrated with RT data from 10 selected pancreatic cancer cases. The dosimetric impact of various advanced delivery technologies was investigated.
RESULTS: The online adaptive replanning based on the CT of the day combining with gating significantly improves normal tissue sparing during RT for pancreatic cancer. As the complexity of the delivery technology increases from no IGRT to with IGRT, gating and online adaptive replanning, the inter- and intra-fractional variations can be accounted for with increased adequacy.
CONCLUSION: The online adaptive replanning technique based on daily respiration-gated diagnostic-quality CT combined with gated delivery can effectively correct for inter- and intra-fraction variations during radiation therapy.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 21924781     DOI: 10.1016/j.radonc.2011.08.027

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  5 in total

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Authors:  Edward D Brandner; Indrin J Chetty; Tawfik G Giaddui; Ying Xiao; M Saiful Huq
Journal:  Med Phys       Date:  2017-04-20       Impact factor: 4.071

Review 2.  Improving radiotherapy planning, delivery accuracy, and normal tissue sparing using cutting edge technologies.

Authors:  Carri K Glide-Hurst; Indrin J Chetty
Journal:  J Thorac Dis       Date:  2014-04       Impact factor: 2.895

Review 3.  Magnetic resonance linear accelerator technology and adaptive radiation therapy: An overview for clinicians.

Authors:  William A Hall; Eric Paulson; X Allen Li; Beth Erickson; Christopher Schultz; Alison Tree; Musaddiq Awan; Daniel A Low; Brigid A McDonald; Travis Salzillo; Carri K Glide-Hurst; Amar U Kishan; Clifton D Fuller
Journal:  CA Cancer J Clin       Date:  2021-11-18       Impact factor: 508.702

Review 4.  Adaptive Radiation Therapy (ART) Strategies and Technical Considerations: A State of the ART Review From NRG Oncology.

Authors:  Carri K Glide-Hurst; Percy Lee; Adam D Yock; Jeffrey R Olsen; Minsong Cao; Farzan Siddiqui; William Parker; Anthony Doemer; Yi Rong; Amar U Kishan; Stanley H Benedict; X Allen Li; Beth A Erickson; Jason W Sohn; Ying Xiao; Evan Wuthrick
Journal:  Int J Radiat Oncol Biol Phys       Date:  2020-10-24       Impact factor: 7.038

5.  Development and evaluation of machine learning models for voxel dose predictions in online adaptive magnetic resonance guided radiation therapy.

Authors:  M Allan Thomas; Yabo Fu; Deshan Yang
Journal:  J Appl Clin Med Phys       Date:  2020-04-19       Impact factor: 2.102

  5 in total

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