On the optimal number of dose‐limiting shells in the SBRT auto‐planning design for peripheral lung cancer-Reference-Cited by-同舟云学术

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On the optimal number of dose‐limiting shells in the SBRT auto‐planning design for peripheral lung cancer

Published:2020-07-23 Issue:9 Volume:21 Page:134-142
ISSN:1526-9914
Container-title:Journal of Applied Clinical Medical Physics
language:en
Short-container-title:J. Appl. Clin. Med. Phys.

Author:

Duan Yanhua¹,Gan Wutian²,Wang Hao¹,Chen Hua¹,Gu Hengle¹,Shao Yan¹,Feng Aihui¹,Ying Yanchen¹,Fu Xiaolong¹,Zhang Chenchen¹,Xu Zhiyong¹,Jeff Yue Ning³

Affiliation:

1. Department of Radiation Oncology Shanghai Chest HospitalShanghai Jiao Tong University Shanghai China

2. Shcool of Physics and Technology University of Wuhan Wuhan China

3. Department of Radiation Oncology Rutgers Cancer Institute of New JerseyRutgers University New Brunswick NJ USA

Funder

Shanghai Jiao Tong University

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging,Instrumentation,Radiation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acm2.12983

Reference16 articles.

1. Automated inverse optimization facilitates lower doses to normal tissue in pancreatic stereotactic body radiotherapy

2. Reduced order constrained optimization (ROCO): Clinical application to lung IMRT

3. Improved Planning Time and Plan Quality Through Multicriteria Optimization for Intensity-Modulated Radiotherapy

4. Optimization of dose distributions of target volumes and organs at risk during stereotactic body radiation therapy for pancreatic cancer with dose-limiting auto-shells

5. Comparison of VMAT and IMRT strategies for cervical cancer patients using automated planning

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1. Predictive power of PTV volume for choosing manual or automatic planning in lung stereotactic body radiotherapy;Journal of Radiation Research and Applied Sciences;2024-09

2. Dosimetry and treatment efficiency of SBRT using TaiChiB radiotherapy system for two-lung lesions with one overlapping organs at risk;Journal of X-Ray Science and Technology;2024-03-27

3. An integrated solution of deep reinforcement learning for automatic IMRT treatment planning in non-small-cell lung cancer;Frontiers in Oncology;2023-02-03

4. Escalation of radiotherapy dose in large locally advanced drug-resistant gastrointestinal stromal tumors by multi-shell simultaneous integrated boost intensity-modulated technique: a feasibility study;Radiation Oncology;2022-12-28

5. Planning issues on linac-based stereotactic radiotherapy;World Journal of Clinical Cases;2022-12-16

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