Evidence map›Paper›PMID 38803034›Full record

ArticleJournal of applied clinical medical physics2024

Dosimetric comparison of HyperArc and InCise MLC-based CyberKnife plans in treating single and multiple brain metastases.

Liying Zhu, Shengnan Dong, Lei Sun, Yixuan Xiao, Yihua Zhong, Mingyuan Pan, Yang Wang

Abstract readComparative Study
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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Review
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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.

Liying ZhuRadiation Oncology Center, Huashan Hospital, Fudan University, Shanghai, China.
Shengnan DongRadiation Oncology Center, Henan Province Hospital of TCM, Zhengzhou, China.ORCID https://orcid.org/0000-0002-1599-0065
Lei SunDepartment of Neurosurgery, CyberKnife Center, Huashan Hospital, Fudan University, Shanghai, China.
Yixuan XiaoRadiation Oncology Center, Huashan Hospital, Fudan University, Shanghai, China.
Yihua ZhongRadiation Oncology Center, Huashan Hospital, Fudan University, Shanghai, China.
Mingyuan PanRadiation Oncology Center, Huashan Hospital, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-6070-2528
Yang WangRadiation Oncology Center, Huashan Hospital, Fudan University, Shanghai, China.

Funding

Beijing Science and Technology Innovation Medical Development Foundation KC2021-JX-0186-120
6 · The paper itself

Abstract

background and purposeThis study aimed to compare the dosimetric attributes of two multi-leaf collimator based techniques, HyperArc and Incise CyberKnife, in the treatment of brain metastases. MATERIAL AND

methods17 cases of brain metastases were selected including 6 patients of single lesion and 11 patients of multiple lesions. Treatment plans of HyperArc and CyberKnife were designed in Eclipse 15.5 and Precision 1.0, respectively, and transferred to Velocity 3.2 for comparison.

resultsHyperArc plans provided superior Conformity Index (0.91 ± 0.06 vs. 0.77 ± 0.07, p < 0.01) with reduced dose distribution in organs at risk (D

conclusionHyperArc plans demonstrated superior performance compared with MLC-based CyberKnife plans in terms of conformity and the sparing of critical organs and normal tissues, although no significant difference in GI outcomes was noted. Conversely, CyberKnife plans achieved a higher target dose and HI. The study suggests that HyperArc is more efficient and particularly suitable for treating larger lesions in brain metastases.

Indexed as

Brain NeoplasmsOrgans at RiskRadiosurgeryRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedHumansPrognosisRadiometrybrain metastasesCyberKnifeHyperArcmulti‐leaf collimator

Identifiers

PMID38803034
PMCPMC11302820

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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.