Literature DB >> 33285034

Development and clinical validation of a robust knowledge-based planning model for stereotactic body radiotherapy treatment of centrally located lung tumors.

Justin Visak1, Ronald C McGarry1, Marcus E Randall1, Damodar Pokhrel1.   

Abstract

PURPOSE: To develop a robust and adaptable knowledge-based planning (KBP) model with commercially available RapidPlanTM for early stage, centrally located non-small-cell lung tumors (NSCLC) treated with stereotactic body radiotherapy (SBRT) and improve a patient's"simulation to treatment" time.
METHODS: The KBP model was trained using 86 clinically treated high-quality non-coplanar volumetric modulated arc therapy (n-VMAT) lung SBRT plans with delivered prescriptions of 50 or 55 Gy in 5 fractions. Another 20 independent clinical n-VMAT plans were used for validation of the model. KBP and n-VMAT plans were compared via Radiation Therapy Oncology Group (RTOG)-0813 protocol compliance criteria for conformity (CI), gradient index (GI), maximal dose 2 cm away from the target in any direction (D2cm), dose to organs-at-risk (OAR), treatment delivery efficiency, and accuracy. KBP plans were re-optimized with larger calculation grid size (CGS) of 2.5 mm to assess feasibility of rapid adaptive re-planning.
RESULTS: Knowledge-based plans were similar or better than n-VMAT plans based on a range of target coverage and OAR metrics. Planning target volume (PTV) for validation cases was 30.5 ± 19.1 cc (range 7.0-71.7 cc). KBPs provided an average CI of 1.04 ± 0.04 (0.97-1.11) vs. n-VMAT plan'saverage CI of 1.01 ± 0.04 (0.97-1.17) (P < 0.05) with slightly improved GI with KBPs (P < 0.05). D2cm was similar between the KBPs and n-VMAT plans. KBPs provided lower lung V10Gy (P = 0.003), V20Gy (P = 0.007), and mean lung dose (P < 0.001). KBPs had overall better sparing of OAR at the minimal increased of average total monitor units and beam-on time by 460 (P < 0.05) and 19.2 s, respectively. Quality assurance phantom measurement showed similar treatment delivery accuracy. Utilizing a CGS of 2.5 mm in the final optimization improved planning time (mean, 5 min) with minimal or no cost to the plan quality.
CONCLUSION: The RTOG-compliant adaptable RapidPlan model for early stage SBRT treatment of centrally located lung tumors was developed. All plans met RTOG dosimetric requirements in less than 30 min of planning time, potentially offering shorter "simulation to treatment" times. OAR sparing via KBPs may permit tumorcidal dose escalation with minimal penalties. Same day adaptive re-planning is plausible with a 2.5-mm CGS optimizer setting.
© 2020 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine.

Entities:  

Keywords:  RapidPlan model; adaptive re-planning; centrally located lung SBRT; knowledge-based planning

Mesh:

Year:  2020        PMID: 33285034      PMCID: PMC7856508          DOI: 10.1002/acm2.13120

Source DB:  PubMed          Journal:  J Appl Clin Med Phys        ISSN: 1526-9914            Impact factor:   2.102


  24 in total

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Journal:  Med Phys       Date:  2011-05       Impact factor: 4.071

2.  Automated Instead of Manual Treatment Planning? A Plan Comparison Based on Dose-Volume Statistics and Clinical Preference.

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3.  Knowledge-Based Planning for Identifying High-Risk Stereotactic Ablative Radiation Therapy Treatment Plans for Lung Tumors Larger Than 5 cm.

Authors:  Saar Van't Hof; Alexander R Delaney; Hilâl Tekatli; Jos Twisk; Ben J Slotman; Suresh Senan; Max Dahele; Wilko F A R Verbakel
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-08-14       Impact factor: 7.038

4.  Clinical and dosimetric predictors of radiation pneumonitis in a large series of patients treated with stereotactic body radiation therapy to the lung.

Authors:  Ryan Baker; Gang Han; Siriporn Sarangkasiri; MaryLou DeMarco; Carolyn Turke; Craig W Stevens; Thomas J Dilling
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-08-25       Impact factor: 7.038

5.  Clinical evaluation of photon optimizer (PO) MLC algorithm for stereotactic, single-dose of VMAT lung SBRT.

Authors:  Justin Visak; Ronald C McGarry; Damodar Pokhrel
Journal:  Med Dosim       Date:  2020-05-19       Impact factor: 1.482

6.  Effect of Dosimetric Outliers on the Performance of a Commercial Knowledge-Based Planning Solution.

Authors:  Alexander R Delaney; Jim P Tol; Max Dahele; Johan Cuijpers; Ben J Slotman; Wilko F A R Verbakel
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-11-10       Impact factor: 7.038

7.  Improving Quality and Consistency in NRG Oncology Radiation Therapy Oncology Group 0631 for Spine Radiosurgery via Knowledge-Based Planning.

Authors:  Kelly C Younge; Robin B Marsh; Dawn Owen; Huaizhi Geng; Ying Xiao; Daniel E Spratt; Joseph Foy; Krithika Suresh; Q Jackie Wu; Fang-Fang Yin; Samuel Ryu; Martha M Matuszak
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-01-04       Impact factor: 7.038

8.  Flattening filter-free accelerators: a report from the AAPM Therapy Emerging Technology Assessment Work Group.

Authors:  Ying Xiao; Stephen F Kry; Richard Popple; Ellen Yorke; Niko Papanikolaou; Sotirios Stathakis; Ping Xia; Saiful Huq; John Bayouth; James Galvin; Fang-Fang Yin
Journal:  J Appl Clin Med Phys       Date:  2015-05-08       Impact factor: 2.102

9.  A novel and clinically useful dynamic conformal arc (DCA)-based VMAT planning technique for lung SBRT.

Authors:  Damodar Pokhrel; Justin Visak; Lana Sanford
Journal:  J Appl Clin Med Phys       Date:  2020-04-19       Impact factor: 2.102

10.  FFF-VMAT for SBRT of lung lesions: Improves dose coverage at tumor-lung interface compared to flattened beams.

Authors:  Damodar Pokhrel; Matthew Halfman; Lana Sanford
Journal:  J Appl Clin Med Phys       Date:  2019-12-20       Impact factor: 2.102

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  1 in total

1.  Automation and integration of a novel restricted single-isocenter stereotactic body radiotherapy (a-RESIST) method for synchronous two lung lesions.

Authors:  Lana Sanford Critchfield; Justin Visak; Mark E Bernard; Marcus E Randall; Ronald C McGarry; Damodar Pokhrel
Journal:  J Appl Clin Med Phys       Date:  2021-05-25       Impact factor: 2.102

  1 in total

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