18F-FDG PET for detecting recurrent head and neck cancer, local lymph node involvement and distant metastases

2004 ◽  
Vol 43 (03) ◽  
pp. 91-101 ◽  
Author(s):  
M. Schmalenbach ◽  
M. Jungehülsing ◽  
P. Theissen ◽  
M. Dietlein ◽  
U. Schröder ◽  
...  

Summary Aim: Assessment of the clinical value of 18F-FDG-PET for detection of recurrent head and neck cancer, local lymph node involvement and distant metastases comparing a qualitative visual with a semiquantitative analysis (SUV values). Patients, methods: Retrospective evaluation of 73 18F-FDG PET studies in 55 patients by use of a four-step qualitative visual grading system and calculation of standard uptake values in pathological lesions. Calculation of SUV values in normal regions for generating a map of physiological 18F-FDG distribution. Correlation to histopathological findings and clinical follow-up. Results: 1. Qualitative visual analysis of 18F-FDG PET studies: a) local recurrence sensitivity 79%, specificity 97%, positive predictive value 95%, negative predictive value 85%, and diagnostic accuracy 89%; b) local metastatic lymph nodes 100%, 95%, 85%, 100%, 96%; c) distant metastases 100%, 98%, 86%, 100%, 98%, respectively. 2. Semiquantitative analysis had only little incremental, non-significant value in comparison to qualitative visual analysis for the detection of a local recurrence in two patients: a) local recurrence: sensitivity 83%, specificity 100%, positive predictive value 100%, negative predictive value 88%, and diagnostic accuracy 93%; b) local metastatic lymph nodes or c) distant metastases did not change in comparison to qualitative visual analysis. Conclusion: 18F-FDG PET is an effective tool for re-staging of patients with suspected recurrence after therapy for head and neck cancer.

2010 ◽  
Vol 51 (2) ◽  
pp. 176-182 ◽  
Author(s):  
C. A. Uyl-de Groot ◽  
A. Senft ◽  
R. de Bree ◽  
C. R. Leemans ◽  
O. S. Hoekstra

2012 ◽  
Vol 53 (11) ◽  
pp. 1730-1735 ◽  
Author(s):  
S.-C. Chan ◽  
H.-M. Wang ◽  
S.-H. Ng ◽  
C.-L. Hsu ◽  
Y.-J. Lin ◽  
...  

2006 ◽  
Vol 34 (5) ◽  
pp. 651-657 ◽  
Author(s):  
Aijun Sun ◽  
Jens Sörensen ◽  
Mikael Karlsson ◽  
Ingela Turesson ◽  
Bengt Langström ◽  
...  

2017 ◽  
Vol 122 ◽  
pp. 41-42
Author(s):  
J. Schatteman ◽  
D. Van Gestel ◽  
D. Berwouts ◽  
W. De Gersem ◽  
I. Goethals ◽  
...  

2011 ◽  
Vol 137 (7) ◽  
pp. 1085-1093 ◽  
Author(s):  
Peng Xie ◽  
Minghuan Li ◽  
Hanxi Zhao ◽  
Xindong Sun ◽  
Zheng Fu ◽  
...  

2017 ◽  
Vol 72 ◽  
pp. 62-70 ◽  
Author(s):  
Shin-Ae Kim ◽  
Jong-Lyel Roh ◽  
Jae Seung Kim ◽  
Jeong Hyun Lee ◽  
Sang Hoon Lee ◽  
...  

2011 ◽  
Vol 27 ◽  
pp. S6-S7
Author(s):  
X. Bontemps ◽  
R. Abgral ◽  
C. Leleu ◽  
A. Turzo ◽  
G. Valette ◽  
...  

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