Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Jianrong Dai"'
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-9 (2024)
Abstract Background Volumetric modulated arc therapy (VMAT) planning optimization involves iterative adjustment of numerous parameters, and hence requires repeatedly dose recalculation. In this study, we used the deep learning method to develop a fas
Externí odkaz:
https://doaj.org/article/cfa03680cb15490ba7450465248c3203
Publikováno v:
Frontiers in Big Data, Vol 7 (2024)
PurposeVolumetric modulated arc therapy (VMAT) is a new treatment modality in modern radiotherapy. To ensure the quality of the radiotherapy plan, a physics plan review is routinely conducted by senior clinicians; however, this process is less effici
Externí odkaz:
https://doaj.org/article/99b35fd4222b45629ff9b314c806b312
Publikováno v:
Technology in Cancer Research & Treatment, Vol 23 (2024)
Purpose This study aims to investigate the influence of the magnetic field on treatment plan quality using typical phantom test cases, which encompass a circle target test case, AAPM TG119 test cases (prostate, head-and-neck, C-shape, multi-target te
Externí odkaz:
https://doaj.org/article/2ad41151fd454ddc9376f2d97b1e1df3
Autor:
Wenting Ren, Lu Hou, Ke Zhang, Huan Chen, Xin Feng, Ziming Jiang, Fei Shao, Jianrong Dai, Yibo Gao, Jie He
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
Background and purposeCurrent studies have substantiated the sparing effect of ultra-high dose rate irradiation (FLASH) in various organs including the brain, lungs, and intestines. Whether this sparing effect extends to esophageal tissue remains une
Externí odkaz:
https://doaj.org/article/cb3e716c8dbf4eb3b440196fe4bd3980
Autor:
Qi Fu, Xinyuan Chen, Yuxiang Liu, Jingbo Zhang, Yingjie Xu, Xi Yang, Manni Huang, Kuo Men, Jianrong Dai
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
PurposeDifficulties remain in dose optimization and evaluation of cervical cancer radiotherapy that combines external beam radiotherapy (EBRT) and brachytherapy (BT). This study estimates and improves the accumulated dose distribution of EBRT and BT
Externí odkaz:
https://doaj.org/article/0b56b88229574e65abda4905b7b9bcfb
Autor:
Wenting Ren, Xiaoxiang Zhou, Ziming Jiang, Shiqi Li, Haoxuan Zhang, Jianrong Dai, Yexiong Li, Nan Bi, Yibo Gao, Jie He
Publikováno v:
Clinical and Translational Medicine, Vol 14, Iss 5, Pp n/a-n/a (2024)
Externí odkaz:
https://doaj.org/article/0bd00691d91840cb962029ce183dc36d
Publikováno v:
Radiation Oncology, Vol 18, Iss 1, Pp 1-11 (2023)
Abstract Background Although magnetic resonance imaging (MRI)-to-computed tomography (CT) synthesis studies based on deep learning have significantly progressed, the similarity between synthetic CT (sCT) and real CT (rCT) has only been evaluated in i
Externí odkaz:
https://doaj.org/article/c00192e49eb948ab8e00abc38a00ca7f
Publikováno v:
Radiation Oncology, Vol 18, Iss 1, Pp 1-7 (2023)
Abstract Background Accurate delineation of clinical target volume of tumor bed (CTV-TB) is important but it is also challenging due to surgical effects and soft tissue contrast. Recently a few auto-segmentation methods were developed to improve the
Externí odkaz:
https://doaj.org/article/888787f574c44f72bace01699c88f10a
Autor:
Zeliang Ma, Bin Liang, Ran Wei, Yunsong Liu, Yongxing Bao, Meng Yuan, Yu Men, Jianyang Wang, Lei Deng, Yirui Zhai, Nan Bi, Luhua Wang, Jianrong Dai, Zhouguang Hui
Publikováno v:
Thoracic Cancer, Vol 14, Iss 28, Pp 2839-2845 (2023)
Abstract Background Radiotherapy‐induced esophagitis (RE) diminishes the quality of life and interrupts treatment in patients with non‐small cell lung cancer (NSCLC) undergoing postoperative radiotherapy. Dosimetric models showed limited capabili
Externí odkaz:
https://doaj.org/article/d9d3b48ecb7c45e4843c3b43237d1fd6
Autor:
Ji Zhu, Xinyuan Chen, Yuxiang Liu, Bining Yang, Ran Wei, Shirui Qin, Zhuanbo Yang, Zhihui Hu, Jianrong Dai, Kuo Men
Publikováno v:
Radiation Oncology, Vol 18, Iss 1, Pp 1-9 (2023)
Abstract Purpose This study was to improve image quality for high-speed MR imaging using a deep learning method for online adaptive radiotherapy in prostate cancer. We then evaluated its benefits on image registration. Methods Sixty pairs of 1.5 T MR
Externí odkaz:
https://doaj.org/article/5dd326e23a5b42ac85e8f06fb03c4037