Evidence map›Paper›PMID 38368607›Full record

ArticleJournal of applied clinical medical physics2024

Dosimetric evaluation in Helical TomoTherapy for lung SBRT using Monte Carlo-based independent dose verification software.

Takahiro Kosaka, Jun Takatsu, Tatsuya Inoue, Kotaro Iijima, Michimasa Suzuki, Naoya Murakami, Naoto Shikama

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 38% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Takahiro KosakaJuntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0002-8592-7918
Jun TakatsuDepartment of Radiation Oncology, Faculty of Medicine, Juntendo University, Bunkyo-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0001-9848-9251
Tatsuya InoueDepartment of Radiology, Juntendo University Urayasu Hospital, Urayasu-shi, Chiba, Japan.ORCID https://orcid.org/0000-0003-0001-7921
Kotaro IijimaDepartment of Radiation Oncology, Faculty of Medicine, Juntendo University, Bunkyo-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1691-0175
Michimasa SuzukiDepartment of Radiology, Juntendo University Urayasu Hospital, Urayasu-shi, Chiba, Japan.
Naoya MurakamiDepartment of Radiation Oncology, Graduate School of Medicine, Juntendo University, Bunkyo-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0003-0660-9987
Naoto ShikamaDepartment of Radiation Oncology, Graduate School of Medicine, Juntendo University, Bunkyo-ku, Tokyo, Japan.
Juntendo University · JPJuntendo University Urayasu Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo elucidate the dosimetric errors caused by a model-based algorithm in lung stereotactic body radiation therapy (SBRT) with Helical TomoTherapy (HT) using Monte Carlo (MC)-based dose verification software.

methodsFor 38 plans of lung SBRT, the dose calculation accuracy of a treatment planning system (TPS) of HT was compared with the results of DoseCHECK, the commercial MC-based independent verification software. The following indices were extracted to evaluate the correlation of dosimetric errors: (1) target volume, (2) average computed tomography (CT) value of the planning target volume (PTV) margin, and (3) average CT value of surrounding 2-mm area of the PTV (PTV ring). Receiver operating characteristic (ROC) analyses determined the threshold for 5% of differences in PTV D

resultsTPS of HT overestimated by more than 5% in the PTV D

conclusionThe TPS of HT might overestimate the PTV dose by more than 5% if any the three indices in this study were below threshold. Therefore, independent verification with an MC-based algorithm should be strongly recommended for lung SBRT in HT.

Indexed as

AlgorithmsLung NeoplasmsMonte Carlo MethodRadiosurgeryRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedSoftwareHumansOrgans at RiskRadiometryHelical TomoTherapylung cancerMonte Carlosecondary independent dose verificationstereotactic body radiation therapy

Identifiers

PMID38368607
PMCPMC11087163
OpenAlexW4391917611

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.