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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DOI: 10.1177/15330338251402992
Published: 2025-06
Container: Technology in Cancer Research & Treatment
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1177/15330338251402992,
  title = {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},
  author = {Huipeng Meng and Yanlong Zhang and Jinghao Duan and Ruohui Zhang and Xinrui Wang and Pengfei Liu and Li Li and Yining Yang},
  year = {2025},
  journal = {Technology in Cancer Research \&amp; Treatment},
  doi = {10.1177/15330338251402992},
  url = {https://doi.org/10.1177/15330338251402992}
}

RIS

TY  - JOUR
TI  - 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
AU  - Huipeng Meng
AU  - Yanlong Zhang
AU  - Jinghao Duan
AU  - Ruohui Zhang
AU  - Xinrui Wang
AU  - Pengfei Liu
AU  - Li Li
AU  - Yining Yang
PY  - 2025
JO  - Technology in Cancer Research &amp; Treatment
DO  - 10.1177/15330338251402992
UR  - https://doi.org/10.1177/15330338251402992
ER  -

APA

Meng, H., Zhang, Y., Duan, J., Zhang, R., Wang, X., Liu, P., Li, L., & Yang, Y. (2025). 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. Technology in Cancer Research & Treatment. https://doi.org/10.1177/15330338251402992

Source records

crossref · retrieved 2026-11-08T20:06:28.658Z