Literature DB >> 33570225

Evaluation of Varian's SmartAdapt for clinical use in radiation therapy for patients with thoracic lesions.

Jason Vickress1,2, Maria Alejandra Rangel Baltazar1, Hossein Afsharpour1,2.   

Abstract

INTRODUCTION: Deformable image registration (DIR) is a required tool in any adaptive radiotherapy program to help account for anatomical changes that occur during a multifraction treatment. SmartAdapt is a DIR tool from Varian incorporated within the eclipse treatment planning system, that can be used for contour propagation and transfer of PET, MRI, or computed tomography (CT) data. The purpose of this work is to evaluate the registration and contour propagation accuracy of SmartAdapt for thoracic CT studies using the guidelines from AAPM TG 132.
METHODS: To evaluate the registration accuracy of SmartAdapt the mean target registration error (TRE) was measured for ten landmarked 4DCT images from the https://www.dir-labs.com/ which included 300 landmarks matching the inspiration and expiration phase images. To further characterize the registration accuracy, the magnitude of deformation for each 4DCT was measured and compared against the mean TRE for each study. Contour propagation accuracy was evaluated using 22 randomly selected lung cancer cases from our center where there was either a replan, or the patient was treated for a new lesion within the lung. Contours evaluated included the right and left lung, esophagus, spinal canal, heart and the GTV and the results were quantified using the DICE similarity coefficient.
RESULTS: The mean TRE from all ten cases was 1.89 mm, the maximum mean TRE per case was 3.8 mm from case #8, which also had the most landmark pairs with displacements >2 cm. For contour propagation accuracy, the DICE coefficient results for left lung, right lung, heart, esophagus, and spinal canal were 0.93, 0.94, 0.90, 0.61, and 0.82 respectively.
CONCLUSION: The results from our study demonstrate that for thoracic images SmartAdapt in most cases will be accurate to below 2 mm in registration error unless there is deformation greater than 2 cm.
© 2021 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine.

Entities:  

Keywords:  Deformable image registration, adaptive radiotherapy, thoracic, computed tomography

Mesh:

Year:  2021        PMID: 33570225      PMCID: PMC7984488          DOI: 10.1002/acm2.13194

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


  16 in total

1.  Characterization of deformation and physical force in uniform low contrast anatomy and its impact on accuracy of deformable image registration.

Authors:  Raj Varadhan; Taiki Magome; Susanta Hui
Journal:  Med Phys       Date:  2016-01       Impact factor: 4.071

2.  Validation of automatic contour propagation for 4D treatment planning using multiple metrics.

Authors:  M Peroni; M F Spadea; M Riboldi; S Falcone; C Vaccaro; G C Sharp; G Baroni
Journal:  Technol Cancer Res Treat       Date:  2013-06-06

3.  Performance of 12 DIR algorithms in low-contrast regions for mass and density conserving deformation.

Authors:  U J Yeo; J R Supple; M L Taylor; R Smith; T Kron; R D Franich
Journal:  Med Phys       Date:  2013-10       Impact factor: 4.071

4.  Anatomical contouring variability in thoracic organs at risk.

Authors:  Ross McCall; Grayden MacLennan; Matthew Taylor; Nishele Lenards; Benjamin E Nelms; Matthew Koshy; Jeffrey Lemons; Ashley Hunzeker
Journal:  Med Dosim       Date:  2016 Winter       Impact factor: 1.482

5.  Comparison of manual and automatic segmentation methods for brain structures in the presence of space-occupying lesions: a multi-expert study.

Authors:  M A Deeley; A Chen; R Datteri; J H Noble; A J Cmelak; E F Donnelly; A W Malcolm; L Moretti; J Jaboin; K Niermann; Eddy S Yang; David S Yu; F Yei; T Koyama; G X Ding; B M Dawant
Journal:  Phys Med Biol       Date:  2011-07-01       Impact factor: 3.609

6.  Four-dimensional deformable image registration using trajectory modeling.

Authors:  Edward Castillo; Richard Castillo; Josue Martinez; Maithili Shenoy; Thomas Guerrero
Journal:  Phys Med Biol       Date:  2010-01-07       Impact factor: 3.609

7.  Interobserver delineation variation in lung tumour stereotactic body radiotherapy.

Authors:  G F Persson; D E Nygaard; C Hollensen; P Munck af Rosenschöld; L S Mouritsen; A K Due; A K Berthelsen; J Nyman; E Markova; A P Roed; H Roed; S Korreman; L Specht
Journal:  Br J Radiol       Date:  2012-09       Impact factor: 3.039

8.  Least median of squares filtering of locally optimal point matches for compressible flow image registration.

Authors:  Edward Castillo; Richard Castillo; Benjamin White; Javier Rojo; Thomas Guerrero
Journal:  Phys Med Biol       Date:  2012-07-13       Impact factor: 3.609

9.  Validation of Varian's SmartAdapt® deformable image registration algorithm for clinical application.

Authors:  Ihab S Ramadaan; Karsten Peick; David A Hamilton; Jamie Evans; Douglas Iupati; Anna Nicholson; Lynne Greig; Robert J W Louwe
Journal:  Radiat Oncol       Date:  2015-03-31       Impact factor: 3.481

10.  Evaluation of Image Registration Accuracy for Tumor and Organs at Risk in the Thorax for Compliance With TG 132 Recommendations.

Authors:  Christopher L Guy; Elisabeth Weiss; Shaomin Che; Nuzhat Jan; Sherry Zhao; Mihaela Rosu-Bubulac
Journal:  Adv Radiat Oncol       Date:  2018-09-07
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