Evidence map›Paper›PMID 33570225›Full record

ArticleJournal of applied clinical medical physics2021

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

Jason Vickress, Maria Alejandra Rangel Baltazar, Hossein Afsharpour

Abstract readEvaluation Study
In one paragraph

Article in Journal of applied clinical medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Jason VickressTrillium Health Partners/the Credit Valley Hospital, Mississauga, ON, Canada.ORCID https://orcid.org/0000-0002-6945-4479
Maria Alejandra Rangel BaltazarTrillium Health Partners/the Credit Valley Hospital, Mississauga, ON, Canada.
Hossein AfsharpourTrillium Health Partners/the Credit Valley Hospital, Mississauga, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDeformable 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.

methodsTo 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.

resultsThe 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.

conclusionThe 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.

Indexed as

Image Processing, Computer-AssistedRadiotherapy Planning, Computer-AssistedAlgorithmsHumansRadiotherapy DosageTomography, X-Ray ComputedDeformable image registration, adaptive radiotherapy, thoracic, computed tomography

Identifiers

PMID33570225
PMCPMC7984488

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