2018
DOI: 10.1016/j.radonc.2018.04.020
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Implications of improved diagnostic imaging of small nodal metastases in head and neck cancer: Radiotherapy target volume transformation and dose de-escalation

Abstract: Diagnostic imaging continues to evolve, and now has unprecedented accuracy for detecting small nodal metastasis. This influences the tumor load in elective target volumes and subsequently has consequences for the radiotherapy dose required to control disease in these volumes. Small metastases that used to remain subclinical and were included in elective volumes, will nowadays be detected and included in high-dose volumes. Consequentially, high-dose volumes will more often contain low-volume disease. These targ… Show more

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Cited by 36 publications
(34 citation statements)
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“…oropharynx) or HPV-status. The results support the concept of target volume transformation and demonstrate the potential of FDG-PET to guide radiotherapy dose de-escalation in elective neck treatment in HNSCC [3]. In the following section, the concept of target volume transformation will be explicated and illustrated by clinical evidence provided in this paper.…”
Section: Discussionsupporting
confidence: 63%
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“…oropharynx) or HPV-status. The results support the concept of target volume transformation and demonstrate the potential of FDG-PET to guide radiotherapy dose de-escalation in elective neck treatment in HNSCC [3]. In the following section, the concept of target volume transformation will be explicated and illustrated by clinical evidence provided in this paper.…”
Section: Discussionsupporting
confidence: 63%
“…This 'upgrading' of small nodal metastases from CTV elective-nodal to GTV is defined as target volume transformation ( Fig. 4A) [3]. This is demonstrated in the current analysis by the smaller volume (0.46 cc versus 1.02 cc, p < 0.001) of preexisting lymph nodes on the initial treatment planning CT-scan (at the locations of the CTV elective-nodal recurrences) in patients with FDG-PET/CT-based NTV.…”
Section: Discussionmentioning
confidence: 99%
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