Evidence map›Paper›PMID 41330722›Full record

ArticleTechnology in cancer research & treatment

Optimization of Normal Tissue Objectives (NTO) in HyperArc Radiosurgery for Brain Oligometastases: A Systematic Analysis of the Trade-Offs among Dosimetric Quality, Plan Complexity, and Treatment Efficiency.

Huipeng Meng, Yanlong Zhang, Jinghao Duan, Ruohui Zhang, Xinrui Wang, Pengfei Liu, Li Li, Yining Yang

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Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Huipeng MengDepartment of Radiation Oncology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.ORCID 0000-0002-7947-1360
Yanlong ZhangSchool of Medical Technology, Tianjin Medical College, Tianjin, China.
Jinghao DuanShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Ruohui ZhangThe Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Xinrui WangDepartment of Radiation Oncology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.
Pengfei LiuDepartment of Radiation Oncology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.
Li LiDepartment of Radiation Oncology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.
Yining YangDepartment of Radiation Oncology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveTo systematically investigate the impact of adjusting the relative weight of the built-in Stereotactic Radiosurgery Normal Tissue Objective (SRS-NTO) on dosimetric quality, plan complexity, and delivery efficiency in HyperArc™ stereotactic radiosurgery (SRS) for brain oligometastases.MethodsIn this retrospective planning study, a cohort of 20 patients with 1-3 brain oligometastases was analyzed. For each case, six distinct HyperArc plans were designed and optimized using the Varian Eclipse™ Treatment Planning System. To precisely isolate its impact, the relative weight of the SRS-NTO to the PTV objective was systematically varied across six levels-50%, 75%, 100% (default), 125%, 150%, and 200%-while all other planning parameters were held constant. A comprehensive comparative evaluation was then performed to assess the plans across four key domains: (i) dosimetric quality, evaluated by metrics including the Paddick Conformity Index (CI), Gradient Index (GI), and dose to Organs at Risk (OARs); (ii) plan complexity, characterized by various modulation and aperture-based indices; (iii) delivery efficiency, primarily quantified by the total Monitor Units (MUs); and (iv) physical deliverability, verified via Gamma analysis.ResultsIncreasing NTO weight did not significantly alter dosimetric quality; key metrics for CI, GI, and OAR sparing remained statistically equivalent (p > .05). Conversely, higher NTO weights prompted a significant reduction in total MUs (p < .001) that reached an optimum at the 150% setting, and enhanced plan deliverability, evidenced by significantly higher Gamma passing rates under stricter verification criteria. An inflection point was observed beyond the 150% setting, with higher weights leading to degraded plan complexity and efficiency. Strategies within the 125% to 150% range demonstrated a superior balance, achieving optimal dosimetric trends while maximizing gains in efficiency and precision.ConclusionIn HyperArc SRS for brain oligometastases, moderately increasing the SRS-NTO weight from the default 100% into the 125% to 150% range is a superior clinical strategy. This adjustment significantly enhances treatment efficiency and delivery precision by reducing plan complexity, without compromising dosimetric quality, thereby achieving a superior overall performance.

Indexed as

Brain NeoplasmsRadiosurgeryRadiotherapy Planning, Computer-AssistedHumansOrgans at RiskRadiometryRadiotherapy DosageRadiotherapy, Intensity-ModulatedRetrospective StudiesTreatment Outcomebrain oligometastaseshyperArcnormal tissue objectiveradiotherapytreatment efficiency

Identifiers

PMID41330722
PMCPMC12678733

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