2015
DOI: 10.1016/j.radonc.2015.05.020
|View full text |Cite
|
Sign up to set email alerts
|

Impact of daily anatomical changes on EPID-based in vivo dosimetry of VMAT treatments of head-and-neck cancer

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
26
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 31 publications
(27 citation statements)
references
References 17 publications
1
26
0
Order By: Relevance
“…It could also be used, if processed immediately, to identify the correctness of individual multileaf collimator (MLC) fields 32 and to identify significant anatomical changes such as those seen in H&N cancer patients experiencing weight loss during treatment. 33 After the DC software obtains the in-air fluence in RMU it is possible to independently calculate the dose delivered to a given patient using the original planning CT scan. Currently the DC software uses a PBC algorithm to calculate this dose while the Eclipse treatment planning system used the Analytical Anisotropic Algorithm (AAA).…”
Section: B | Radiotherapy Courses and Patientsmentioning
confidence: 99%
“…It could also be used, if processed immediately, to identify the correctness of individual multileaf collimator (MLC) fields 32 and to identify significant anatomical changes such as those seen in H&N cancer patients experiencing weight loss during treatment. 33 After the DC software obtains the in-air fluence in RMU it is possible to independently calculate the dose delivered to a given patient using the original planning CT scan. Currently the DC software uses a PBC algorithm to calculate this dose while the Eclipse treatment planning system used the Analytical Anisotropic Algorithm (AAA).…”
Section: B | Radiotherapy Courses and Patientsmentioning
confidence: 99%
“…First, a characteristic limitation of using the planning CT to reconstruct dose via EPID images is that the CT may not reflect accurately the patient’s setup or anatomy at treatment, producing a dose calculation error. 29 As a result, dose differences should mainly be interpreted as flags warranting further investigation. Second, we make use of correlation ratios obtained through slab phantoms and thus do not model the differences in scatter due to inhomogeneities.…”
Section: Resultsmentioning
confidence: 99%
“…In our anatomy‐based VMAT optimization strategy, the field shape always conform to the PTV outline, and this choice should avoid both target missing and possible interplay effect. Only a DVH‐analysis based on 3D IVD would allow a quantitative assessment of the clinical relevance of observed deviations . Secondly, as shown in Fig.…”
Section: Discussionmentioning
confidence: 99%