Evidence map›Paper›PMID 34633736›Full record

ArticleJournal of applied clinical medical physics2022

Development of a novel program for conversion from tetrahedral-mesh-based phantoms to DICOM dataset for radiation treatment planning: TET2DICOM.

Bo-Wi Cheon, Se Hyung Lee, Min Cheol Han, Chul Hee Min, Haegin Han, Chan Hyeong Kim, Jin Sung Kim

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Article in Journal of applied clinical medical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

The trial behind it

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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

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Bo-Wi CheonDepartment of Radiation Convergence Engineering, Yonsei University, Wonju, Korea.
Se Hyung LeeDepartment of Nuclear Engineering, Hanyang University, Seoul, Korea.
Min Cheol HanDepartment of Radiation Oncology, Yonsei University College of Medicine, Seoul, Korea.
Chul Hee MinDepartment of Radiation Convergence Engineering, Yonsei University, Wonju, Korea.
Haegin HanDepartment of Nuclear Engineering, Hanyang University, Seoul, Korea.
Chan Hyeong KimDepartment of Nuclear Engineering, Hanyang University, Seoul, Korea.
Jin Sung KimDepartment of Radiation Oncology, Yonsei University College of Medicine, Seoul, Korea.

Funding

Korea Foundation Of Nuclear Safety (KoFONS)Korea Institute of Energy Technology Evaluation and Planning (KETEP)Ministry of Science, ICT, and Future Planning 2021R1I1A1A01057995Ministry of Trade, Industry & Energy (MOTIE)National Research Foundation of Korea (NRF)Nuclear Safety and Security Commission (NSSC)Republic of Korea 2101073Republic of Korea G032579811
6 · The paper itself

Abstract

purposeTetrahedral mesh (TM)-based computational human phantoms have recently been developed for evaluation of exposure dose with the merit of precisely representing human anatomy and the changing posture freely. However, conversion of recently developed TM phantoms to the Digital Imaging and Communications in Medicine (DICOM) file format, which can be utilized in the clinic, has not been attempted. The aim of this study was to develop a technique, called TET2DICOM, to convert the TM phantoms to DICOM datasets for accurate treatment planning. MATERIALS AND

methodsThe TM phantoms were sampled in voxel form to generate the DICOM computed tomography images. The DICOM-radiotherapy structure was defined based on the contour data. To evaluate TET2DICOM, the shape distortion of the TM phantoms during the conversion process was assessed, and the converted DICOM dataset was implemented in a commercial treatment planning system (TPS).

resultsThe volume difference between the TM phantoms and the converted DICOM dataset was evaluated as less than about 0.1% in each organ. Subsequently, the converted DICOM dataset was successfully implemented in MIM (MIM Software Inc., Cleveland, USA, version 6.5.6) and RayStation (RaySearch Laboratories, Stockholm, Sweden, version 5.0). Additionally, the various possibilities of clinical application of the program were confirmed using a deformed TM phantom in various postures.

conclusionIn conclusion, the TM phantom, currently the most advanced computational phantom, can be implemented in a commercial TPS and this technique can enable various TM-based applications, such as evaluation of secondary cancer risk in radiotherapy.

Indexed as

Radiotherapy Planning, Computer-AssistedTomography, X-Ray ComputedHumansPhantoms, ImagingSoftwareSwedenclinical softwareCTDICOMtetrahedral-mesh phantomvoxelization

Identifiers

PMID34633736
PMCPMC8803294

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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.