2017
DOI: 10.1016/j.clinimag.2017.01.003
|View full text |Cite
|
Sign up to set email alerts
|

PET+MR versus PET/CT in the initial staging of head and neck cancer, using a trimodality PET/CT+MR system

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

3
18
1
1

Year Published

2018
2018
2023
2023

Publication Types

Select...
5
1

Relationship

3
3

Authors

Journals

citations
Cited by 46 publications
(23 citation statements)
references
References 39 publications
3
18
1
1
Order By: Relevance
“…Multivariate logistic regression demonstrated that the best model for prediction of PVS involvement is the presence fat plane obliteration. This corresponds well to the findings of Hsu et al A recent study by Sekine et al compared the diagnostic accuracy of FDG‐PET/CT and FDG‐PET/MR for the assessment of tumor resectability in a mixed cohort of advanced HNSCC . Among other resectability‐defining factors, they compared the ability of both modalities to diagnose PVS involvement.…”
Section: Discussionsupporting
confidence: 86%
See 3 more Smart Citations
“…Multivariate logistic regression demonstrated that the best model for prediction of PVS involvement is the presence fat plane obliteration. This corresponds well to the findings of Hsu et al A recent study by Sekine et al compared the diagnostic accuracy of FDG‐PET/CT and FDG‐PET/MR for the assessment of tumor resectability in a mixed cohort of advanced HNSCC . Among other resectability‐defining factors, they compared the ability of both modalities to diagnose PVS involvement.…”
Section: Discussionsupporting
confidence: 86%
“…This corresponds well to the findings of Hsu et al 10 A recent study by Sekine et al compared the diagnostic accuracy of FDG-PET/CT and FDG-PET/MR for the assessment of tumor resectability in a mixed cohort of advanced HNSCC. 6 Among other resectability-defining factors, they compared the ability of both modalities to diagnose PVS involvement. They reported a positive predictive value, negative predictive value, and accuracy of 87.5%, 98%, and 98.3% for FDG-PET/CT and 100%, 100%, and 100% for FDG-PET/MR, respectively.…”
Section: Results In the Context Of The Existing Literaturementioning
confidence: 99%
See 2 more Smart Citations
“…Eine erste kleine Studie von Kanda et al, die die retrospektive Fusion von PET-und MRT-Datensätzen untersuchte, zeigte Vorteile für die PET/MRT im T-Staging [33]. Auch Studien von anderen Forschungsgruppen, die am ehesten aufgrund der ge-ringen Probandenzahl keinen statistisch signifikanten Vorteil der PET/MRT gegenüber der PET/CT zeigen konnten, wiesen einen positiven Trend für die PET/MRT auf [34,35]. Auch zeigte sich in einer Studie von Sekine et al aus dem Jahre 2017 ein geringer, wenn auch nicht statistisch signifikanter Trend zu einer besseren Beurteilbarkeit der Resezierbarkeit in der PET/MRT [36].…”
Section: Primärdiagnostikunclassified