Evidence map›Paper›PMID 30803375›Full record

ArticleTechnology in cancer research & treatment2019

Effect of Deformation Methods on the Accuracy of Deformable Image Registration From Kilovoltage CT to Tomotherapy Megavoltage CT.

Wannapha Nobnop, Imjai Chitapanarux, Somsak Wanwilairat, Ekkasit Tharavichitkul, Vicharn Lorvidhaya, Patumrat Sripan

Abstract read
In one paragraph

Article in Technology in cancer research & treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Wannapha Nobnop1 Division of Radiation Oncology, Department of Radiology, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0002-5266-2845
Imjai Chitapanarux1 Division of Radiation Oncology, Department of Radiology, Chiang Mai University, Chiang Mai, Thailand.
Somsak Wanwilairat1 Division of Radiation Oncology, Department of Radiology, Chiang Mai University, Chiang Mai, Thailand.
Ekkasit Tharavichitkul1 Division of Radiation Oncology, Department of Radiology, Chiang Mai University, Chiang Mai, Thailand.
Vicharn Lorvidhaya1 Division of Radiation Oncology, Department of Radiology, Chiang Mai University, Chiang Mai, Thailand.
Patumrat Sripan1 Division of Radiation Oncology, Department of Radiology, Chiang Mai University, Chiang Mai, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe registration accuracy of megavoltage computed tomography images is limited by low image contrast when compared to that of kilovoltage computed tomography images. Such issues may degrade the deformable image registration accuracy. This study evaluates the deformable image registration from kilovoltage to megavoltage images when using different deformation methods and assessing nasopharyngeal carcinoma patient images.

methodsThe kilovoltage and the megavoltage images from the first day and the 20th fractions of the treatment day of 12 patients with nasopharyngeal carcinoma were used to evaluate the deformable image registration application. The deformable image registration image procedures were classified into 3 groups, including kilovoltage to kilovoltage, megavoltage to megavoltage, and kilovoltage to megavoltage. Three deformable image registration methods were employed using the deformable image registration and adaptive radiotherapy software. The validation was compared by volume-based, intensity-based, and deformation field analyses.

resultsThe use of different deformation methods greatly affected the deformable image registration accuracy from kilovoltage to megavoltage. The asymmetric transformation with the demon method was significantly better than other methods and illustrated satisfactory value for adaptive applications. The deformable image registration accuracy from kilovoltage to megavoltage showed no significant difference from the kilovoltage to kilovoltage images when using the appropriate method of registration.

conclusionsThe choice of deformation method should be considered when applying the deformable image registration from kilovoltage to megavoltage images. The deformable image registration accuracy from kilovoltage to megavoltage revealed a good agreement in terms of intensity-based, volume-based, and deformation field analyses and showed clinically useful methods for nasopharyngeal carcinoma adaptive radiotherapy in tomotherapy applications.

Indexed as

AlgorithmsHumansNasopharyngeal NeoplasmsRadiographic Image Interpretation, Computer-AssistedRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedSoftwareTomography, X-Ray Computeddeformable image registrationDIRARTkVCTMVCTtomotherapy

Identifiers

PMID30803375
PMCPMC6373993

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.