Deterioration of Intended Target Volume Radiation Dose Due to Anatomical Changes in Patients with Head-and-Neck Cancer
Publication year
2021Source
Cancers, 13, 17, (2021), article 4253ISSN
Publication type
Article / Letter to editor
Display more detailsDisplay less details
Organization
Health Evidence
Journal title
Cancers
Volume
vol. 13
Issue
iss. 17
Subject
Radboudumc 15: Urological cancers RIHS: Radboud Institute for Health Sciences; Health Evidence - Radboud University Medical CenterAbstract
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 (D(1)/D(99)). 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 D(99) and D(1) in any of the targets, this was 5% (D(99)) and 2% (D(1)) over 2 Gy. Factors associated with deterioration of D(99) 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.
This item appears in the following Collection(s)
- Academic publications [246164]
- Electronic publications [133781]
- Faculty of Medical Sciences [93268]
- Open Access publications [107296]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.