Dosimetric analysis of the Varian Edge accelerator for long-size tumor treatment
RADIOBIOLOGY AND RADIOMEDICINE|更新时间:2025-02-28
|
Dosimetric analysis of the Varian Edge accelerator for long-size tumor treatment
“In the field of cervical cancer treatment, researchers compared the dosimetric differences between newly designed plans and automatically generated plans, and found that the new plan can reduce cold spots and hot spots in the target area, improve treatment efficacy, and provide a new treatment plan for patients with large-sized tumors.”
Journal of Radiation Research and Radiation ProcessingVol. 40, Issue 5, Pages: 48-55(2022)
作者机构:
甘肃省人民医院放疗科 兰州 730000
作者简介:
FENG Weigui (female) was born in January 1981, and graduated from Northwest Normal University in 2009, majoring in theoretical physics. Now she works in the Department of Radiation Oncology of Gansu Provincial Hospital as a medical physicist, engaging in medical physics of radiation therapy
CAI Hongyi, doctoral degree, master’s supervisor, chief physician, E-mail: gschy333@163.com
基金信息:
Natural Science Foundation of Gansu Province(21JR7RA598;21JR1RA010)
FENG Weigui,GUO Yixiao,ZHANG Lijuan,et al.Dosimetric analysis of the Varian Edge accelerator for long-size tumor treatment[J].Journal of Radiation Research and Radiation Processing,2022,40(05):48-55.
FENG Weigui,GUO Yixiao,ZHANG Lijuan,et al.Dosimetric analysis of the Varian Edge accelerator for long-size tumor treatment[J].Journal of Radiation Research and Radiation Processing,2022,40(05):48-55. DOI: 10.11889/j.1000-3436.2022-0012.
Dosimetric analysis of the Varian Edge accelerator for long-size tumor treatment
Dosimetric study on 3D-printing multi-channel applicator interstitial brachytherapy for cervical cancer
Dosimetric effect of multi-leaf collimator angle change on the left-sided breast hypofractionated radiotherapy with simultaneous integrated boost
Rectal and bladder dose prediction in volumetric modulated arc therapy for cervical cancer based on dose-volume histogram
Geometric and dosimetric evaluation of deep learning-based organs at risk auto-segmentation for rectal cancer
Related Author
Wen DU
Hongyi CAI
Lijuan ZHANG
Yixiao GUO
Weigui FENG
AN Yongwei
OUYANG Shuigen
LUO Li
Related Institution
Department of Radiotherapy, Gansu Provincial Cancer Hospital
Cancer Clinical Medical Center, Radiation Oncology Center, the First People Hospital of Zunyi/ the Third Affiliated Hospital of Zunyi Medical University
Room of Radiotherapy, Zigong First People's Hospital
Department of Radiation Oncology, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University; Shanghai Key Laboratory of Radiation Oncology
Institute of Modern Physics, Chinese Academy of Sciences