Evidence map›Paper›PMID 40561140›Full record

ArticlePloS one2025

Impact of monitor unit optimization in volumetric modulated arc therapy planning for nasopharyngeal carcinoma.

Huaqu Zeng, Zhen Li, Zongyou Chen, Shukui Tang, Qifu Lin, Minzhi Zhong, Zunbei Wen

Abstract read
In one paragraph

Article in PloS one, 2025. 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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2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Huaqu ZengRadiotherapy Center, Gaozhou People's Hospital, Gaozhou, Guangdong, China.ORCID 0009-0007-4671-7161
Zhen LiDepartment of Oncology Radiotherapy, Zhongshan City People's Hospital, Zhongshan, Guangdong, China.
Zongyou ChenRadiotherapy Center, Gaozhou People's Hospital, Gaozhou, Guangdong, China.
Shukui TangRadiotherapy Center, Gaozhou People's Hospital, Gaozhou, Guangdong, China.
Qifu LinRadiotherapy Center, Gaozhou People's Hospital, Gaozhou, Guangdong, China.
Minzhi ZhongDepartment of Radiology, Guangzhou Red Cross Hospital, Guangzhou, Guangdong, China.
Zunbei WenRadiotherapy Center, Gaozhou People's Hospital, Gaozhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the impact of monitor units (MUs) optimization on volumetric modulated arc therapy (VMAT) plan for nasopharyngeal carcinoma (NPC).

methodsTwenty-one NPC patients were retrospectively analyzed. Dual-arc VMAT plan were designed using photon optimization algorithms without the monitor unit objective (MUO) tool, denoted as the base plan. Each base plan was re-optimized with the MUO tool with the Maximum MU parameter set to 30% of the base plans' total MUs and Strength parameters set to 50, 80, and 100, generating plans S50, S80, and S100. Target and organ-at-risk (OAR) dose distributions, MUs, beam delivery time, and gamma passing rates were compared between re-optimized and base plans. Statistical analysis was performed using SPSS 17.0 (paired t-tests; significance: P < 0.05).

resultsPlan S100 reduced target PCTV2 D98% by >4% (relative to the base plan) in four patients. Plan S80 reduced target PGTV and PGTVnd Dmax and target PCTV2 D98% for >3% but <4% in two patients, while other target dose parameters changed by <2%. Compared to the base plan, all re-optimized plans increased the brainstem Dmax (P < 0.05), though the maximum increase was < 1.5%. Plan S50 reduced both parotid glands D50% and Dmean (P < 0.001), while plan S80 reduced both parotids Dmean and the left parotid D50% (P < 0.001). Conversely, S100 increased both parotids D50% and Dmean and the spinal cord Dmax (P < 0.05). Plan S80 and S100 increased the thyroid V40 (P < 0.05). MU reductions averaged 5.1% (S50), 21.4% (S80), and 30.9% (S100), with consistent beam delivery times (~2.5 minutes). Gamma passing rates improved sequentially from the base plan to S50, S80, and S100.

conclusionMU optimization in NPC VMAT planning effectively reduces MUs and enhances delivery accuracy (improved gamma passing rates). While target coverage and OAR sparing were generally maintained, higher MUO strengths (e.g., S100) may necessitate careful consideration of dosimetric trade-offs. Moderate MUO settings (e.g., S80) offer a favorable balance between MU reduction and plan fidelity.

Indexed as

Nasopharyngeal CarcinomaNasopharyngeal NeoplasmsRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedAdultAlgorithmsCarcinomaFemaleHumansMaleMiddle AgedOrgans at RiskRadiotherapy DosageRetrospective Studies

Identifiers

PMID40561140
PMCPMC12193012

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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.