scholarly journals Deep learning auto-segmentation and automated treatment planning for trismus risk reduction in head and neck cancer radiotherapy

2021 ◽  
Vol 19 ◽  
pp. 96-101
Author(s):  
Maria Thor ◽  
Aditi Iyer ◽  
Jue Jiang ◽  
Aditya Apte ◽  
Harini Veeraraghavan ◽  
...  
2020 ◽  
Vol 47 (10) ◽  
pp. 4683-4693 ◽  
Author(s):  
Anaïs Barateau ◽  
Renaud De Crevoisier ◽  
Axel Largent ◽  
Eugenia Mylona ◽  
Nicolas Perichon ◽  
...  

1998 ◽  
Vol 84 (2) ◽  
pp. 160-166 ◽  
Author(s):  
Patrizia Olmi ◽  
Carlo Fallai

The Authors present a review of randomized trials on non conventional fractionation in head and neck cancer radiotherapy with conventional fractionation as control arm. Hyperfractionation was studied in 5 trials, accelerated hyperfractionation in 4 trials and accelerated fractionation in 3 trials. Furthermore, the reviews of eminent Authors dealing with the above mentioned trials are summarized. In spite of improved local control rate reported with hyperfractionation, non conventional radiotherapy schedules are not yet recommended as routine clinical practice, but all the radiation oncologists are invited to join trials on this subject.


Author(s):  
L. Scott Johnson ◽  
Charles A. Pelizzari ◽  
Robert Grzeszczuk ◽  
Martin Ryan ◽  
Daniel J. Haraf ◽  
...  

2014 ◽  
Vol 10 (10) ◽  
pp. 1667-1673 ◽  
Author(s):  
Jared D. Sturgeon ◽  
John A. Cox ◽  
Lauren L. Mayo ◽  
G. Brandon Gunn ◽  
Lifei Zhang ◽  
...  

2005 ◽  
Vol 76 ◽  
pp. S167-S168
Author(s):  
M. Gardner ◽  
P. Halimi ◽  
D. Valinta ◽  
M.M. Plantet ◽  
A. Banal ◽  
...  

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