Dosimetric potential of knowledge‐based planning model trained with HyperArc plans for brain metastases-Reference-Cited by-同舟云学术

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Dosimetric potential of knowledge‐based planning model trained with HyperArc plans for brain metastases

Published:2022-11-05 Issue:2 Volume:24 Page:
ISSN:1526-9914
Container-title:Journal of Applied Clinical Medical Physics
language:en
Short-container-title:J Applied Clin Med Phys

Author:

Sagawa Tomohiro¹^ORCID,Ueda Yoshihiro¹,Tsuru Haruhi²,Kamima Tatsuya³,Ohira Shingo¹,Tamura Mikoto⁴,Miyazaki Masayoshi¹,Monzen Hajime⁴,Konishi Koji¹

Affiliation:

1. Department of Radiation Oncology Osaka International Cancer Institute Osaka Japan

2. Department of Medical Physics and Engineering Graduate School of Medicine Osaka University Suita Japan

3. Radiation Oncology Department Cancer Institute Hospital Japanese Foundation for Cancer Research Tokyo Japan

4. Department of Medical Physics Graduate School of Medical Sciences Kindai University Sayama Japan

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Radiation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acm2.13836

Reference28 articles.

1. Central Nervous System Cancers, Version 2.2014

2. Stereotactic radiosurgery for patients with multiple brain metastases (JLGK0901): a multi-institutional prospective observational study

3. Stereotactic radiosurgery for multiple brain metastases

4. Stereotactic radiosurgery for multiple brain metastases: two cases of preserved quality of life;Pham A;Cureus,2017

5. Whole Brain Radiotherapy Combined with Stereotactic Radiosurgery versus Stereotactic Radiosurgery Alone for Brain Metastases

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1. Prediction of dose-sparing by protons assessed by a knowledge-based planning tool in radiotherapy of brain tumours;Acta Oncologica;2023-10-04

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