SU-E-J-74: Dosimetric Advantages of Adaptive Radiotherapy for Head and Neck Cancer Are Confirmed with Weekly CBCT Images

2015 ◽  
Vol 42 (6Part8) ◽  
pp. 3281-3281
Author(s):  
Q Shang ◽  
Z Li ◽  
H Qu ◽  
M Ward ◽  
J Greskovich ◽  
...  
2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Enis Tinjak ◽  
Velda Smajlbegović ◽  
Adnan Beganović ◽  
Mirjana Ristanić ◽  
Halil Ćorović ◽  
...  

Introduction: Radiation therapy has long played an integral role in the manage¬ment of locally advanced head and neck cancer (HNC), both for organ preservation and to improve tumor control in the postoperative setting. The aim of this research is to investigate the effects of adaptive radiotherapy on dosimetric, clinical, and toxicity outcomes for patients with head and neck cancer undergoing radiation therapy treatment. Many sources have reported volume reductions in the primary target, nodal volumes, and parotid glands over treatment, which may result in unintended dosimetric changes affecting the side effect profile and even efficacy of the treatment. Adaptive radiotherapy (ART) is an interesting treatment paradigm that has been developed to directly adjust to these changes.Material and methods: This research contains the results of 15 studies, including clinical trials, randomized prospective and retrospective studies. The researches analyze the impact of radiation therapy on changes in tumor volume and the relationship with planned radiation dose delivery, as well as the possibility of using adaptive radiotherapy in response to identified changes. Also, medical articles and abstracts that are closely related to the title of adaptive radiotherapy were researched.Results: The application of ART significantly improved the quality of life of patients with head and neck cancer, as well as two-year locoregional control of the disease. The average time to apply ART is the middle of the treatment course approximately 17 to 20 fractions of the treatment.Conclusion: Based on systematic review of the literature, evidence based changes in target volumes and dose reduction at OAR, adaptive radiotherapy is recommended treatment for most of the patients with head and neck cancer with the support of image-guided radiotherapy.


IRBM ◽  
2014 ◽  
Vol 35 (1) ◽  
pp. 33-40 ◽  
Author(s):  
J. Castelli ◽  
A. Simon ◽  
O. Acosta ◽  
P. Haigron ◽  
M. Nassef ◽  
...  

Author(s):  
D.L. Schwartz ◽  
A.S. Garden ◽  
S. Tong ◽  
P. Wong ◽  
J. Garcia ◽  
...  

2010 ◽  
Vol 20 (2) ◽  
pp. 84-93 ◽  
Author(s):  
Pierre Castadot ◽  
John A. Lee ◽  
Xavier Geets ◽  
Vincent Grégoire

2018 ◽  
Vol 127 ◽  
pp. S225-S226
Author(s):  
J. Castelli ◽  
A. Simon ◽  
B. Rigaud ◽  
E. Chajon ◽  
K. Benezery ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (17) ◽  
pp. 4253
Author(s):  
Olga Hamming-Vrieze ◽  
Simon van Kranen ◽  
Iris Walraven ◽  
Arash Navran ◽  
Abrahim Al-Mamgani ◽  
...  

Delivered radiation dose can differ from intended dose. This study quantifies dose deterioration in targets, identifies predictive factors, and compares dosimetric to clinical patient selection for adaptive radiotherapy in head-and-neck cancer patients. One hundred and eighty-eight consecutive head-and-neck cancer patients treated up to 70 Gy were analyzed. Daily delivered dose was calculated, accumulated, and compared to the planned dose. Cutoff values (1 Gy/2 Gy) were used to assess plan deterioration in the highest/lowest dose percentile (D1/D99). Differences in clinical factors between patients with/without dosimetric deterioration were statistically tested. Dosimetric deterioration was evaluated in clinically selected patients for adaptive radiotherapy with CBCT. Respectively, 16% and 4% of patients had deterioration over 1 Gy in D99 and D1 in any of the targets, this was 5% (D99) and 2% (D1) over 2 Gy. Factors associated with deterioration of D99 were higher baseline weight/BMI, weight gain early in treatment, and smaller PTV margins. The sensitivity of visual patient selection with CBCT was 22% for detection of dosimetric changes over 1 Gy. Large dose deteriorations in targets occur in a minority of patients. Clinical prediction based on patient characteristics or CBCT is challenging and dosimetric selection tools seem warranted to identify patients in need for ART, especially in treatment with small PTV margins.


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