Zobrazeno 1 - 10
of 17 397
pro vyhledávání: '"Adaptive Radiotherapy"'
Autor:
Leipold, Vanda1,2 (AUTHOR) domagoj.kosmina@radiochirurgia.hr, Jakšić, Blanka1,3 (AUTHOR), Avdičević, Asmir1 (AUTHOR), Kosmina, Domagoj1 (AUTHOR), Kaučić, Hrvoje1 (AUTHOR), Alerić, Ivana1,2 (AUTHOR), Schwarz, Karla3 (AUTHOR), Mlinarić, Mihaela1 (AUTHOR), Ursi, Giovanni1 (AUTHOR), Čehobašić, Adlan1 (AUTHOR), Schwarz, Dragan1,2,4 (AUTHOR)
Publikováno v:
Current Oncology. Dec2024, Vol. 31 Issue 12, p7625-7630. 6p.
Autor:
Wang, Huadong1 (AUTHOR), Li, Zhenkai1,2 (AUTHOR), Shi, Dengxin1 (AUTHOR), Yin, Peijun1 (AUTHOR), Liang, Benzhe1,3 (AUTHOR), Zou, Jingmin1,4 (AUTHOR), Tao, Qiuqing1,5 (AUTHOR), Ma, Wencheng1,4 (AUTHOR), Yin, Yong1 (AUTHOR) yinyongsd@126.com, Li, Zhenjiang1 (AUTHOR) zhenjli1987@163.com
Publikováno v:
Radiation Oncology. 12/18/2024, Vol. 19 Issue 1, p1-11. 11p.
Accurate segmentation of gross tumor volume (GTV) is essential for effective MRI-guided adaptive radiotherapy (MRgART) in head and neck cancer. However, manual segmentation of the GTV over the course of therapy is time-consuming and prone to interobs
Externí odkaz:
http://arxiv.org/abs/2412.00663
Autor:
Xin, Xin1,2 (AUTHOR), Tang, Bin2 (AUTHOR) jackytang86@163.com, Wu, Fan2 (AUTHOR), Lang, Jinyi2 (AUTHOR), Li, Jie2 (AUTHOR), Wang, Xianliang2 (AUTHOR), Liu, Min2 (AUTHOR), Zhang, Qingxian1 (AUTHOR), Liao, Xiongfei2 (AUTHOR), Yang, Feng1,2 (AUTHOR), Orlandini, Lucia Clara2 (AUTHOR)
Publikováno v:
Radiation Oncology. 9/2/2024, Vol. 19 Issue 1, p1-8. 8p.
Autor:
Courtney, P. Travis1 (AUTHOR) PCourtney@mednet.ucla.edu, L. Santoso, Milisuryani1 (AUTHOR), Savjani, Ricky R.1 (AUTHOR), K. Reddy, Vishruth1 (AUTHOR), Chai-Ho, Wanxing2 (AUTHOR), Velez Velez, Maria A.2 (AUTHOR), J. Wong, Deborah2 (AUTHOR), Palodichuk, Christy1 (AUTHOR), Basehart, T. Vincent1 (AUTHOR), P. O'Connell, Dylan1 (AUTHOR), Cao, Minsong1 (AUTHOR), Telesca, Donatello3 (AUTHOR), Chin, Robert K.1 (AUTHOR)
Publikováno v:
BMC Cancer. 12/21/2024, Vol. 24 Issue 1, p1-16. 16p.
Autor:
Zhang, Haozhao, Dohopolski, Michael, Stojadinovic, Strahinja, Giuliani, Luiza, Anand, Soummitra, Kim, Heejung, Pompos, Arnold, Godley, Andrew, Jiang, Steve, Dan, Tu, Wardak, Zabi, Timmerman, Robert, Peng, Hao
Purpose: We aimed to develop a data-driven multiomics approach integrating radiomics, dosiomics, and delta features to predict treatment response at an earlier stage (intra-treatment) for brain metastases (BMs) patients treated with PULSAR. Methods:
Externí odkaz:
http://arxiv.org/abs/2407.04040
Autor:
Azzarouali, Sana1,2,3 (AUTHOR) s.azzarouali@amsterdamumc.nl, Goudschaal, Karin2,3 (AUTHOR), Visser, Jorrit2,3 (AUTHOR), Daniëls, Laurien2,3 (AUTHOR), Bel, Arjan2,3 (AUTHOR), den Boer, Duncan1,2 (AUTHOR)
Publikováno v:
Radiation Oncology. 10/7/2024, Vol. 19 Issue 1, p1-10. 10p.
Autor:
Sana Azzarouali, Karin Goudschaal, Jorrit Visser, Laurien Daniëls, Arjan Bel, Duncan den Boer
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-10 (2024)
Abstract Purpose The aim was to study the potential for an online fully automated daily adaptive radiotherapy (RT) workflow for bladder cancer, employing a focal boost and fiducial markers. The study focused on comparing the geometric and dosimetric
Externí odkaz:
https://doaj.org/article/5550bc6d512744ddac5fe6715665f8c4
Autor:
Yukari Nagayasu, Shoki Inui, Yoshihiro Ueda, Akira Masaoka, Masahide Tominaga, Masayoshi Miyazaki, Koji Konishi
Publikováno v:
Journal of Medical Physics, Vol 49, Iss 3, Pp 335-342 (2024)
Aims: This study aimed to evaluate the geometrical accuracy of atlas-based auto-segmentation (ABAS), deformable image registration (DIR), and deep learning auto-segmentation (DLAS) in adaptive radiotherapy (ART) for head-and-neck cancer (HNC). Subjec
Externí odkaz:
https://doaj.org/article/c079bb8921084ac89b27fffd84cd53c9
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