scholarly journals 18 F‐FDG PET/CT for response evaluation of regional lymph nodes in 97 head and neck squamous cell carcinoma patients: Differences in the predictive value of residual disease after radiotherapy and chemoradiotherapy

2020 ◽  
Vol 45 (5) ◽  
pp. 805-810 ◽  
Author(s):  
Saskia H. Hanemaaijer ◽  
Maran Fazzi ◽  
Roel J. H. M. Steenbakkers ◽  
Bart Dorgelo ◽  
Bert Vegt ◽  
...  
2014 ◽  
Vol 7 ◽  
pp. CMENT.S16399 ◽  
Author(s):  
Harri Keski-Säntti ◽  
Timo Mustonen ◽  
Jukka Schildt ◽  
Kauko Saarilahti ◽  
Antti A. Mäkitie

Background In many centers, 18F-fluorodeoxyglucose-positron emission tomography/computed tomography (FDG–PET/CT) is used to monitor treatment response after definitive (chemo)radiotherapy [(C)RT] for head and neck squamous cell carcinoma (HNSCC), but its usefulness remains somewhat controversial. We aimed at assessing the accuracy of FDG-PET/CT in detecting residual disease after (C)RT. Method All HNSCC patients with FDG-PET/CT performed to assess treatment response 10–18 weeks after definitive (C)RT at our institution during 2008–2010 were included. The patient charts were reviewed for FDG-PET/CT findings, histopathologic findings, and follow-up data. The median follow-up time for FDG-PET/CT negative patients was 26 months. Results Eighty-eight eligible patients were identified. The stage distribution was as follows: I, n = 1; II, n = 15; III, n = 17; IV, n = 55. The negative predictive value, positive predictive value, specificity, sensitivity, and accuracy of FDG-PET/CT in detecting residual disease were 87%, 81%, 94%, 65%, and 85%, respectively. The corresponding specific figures for the primary tumor site were 91%, 71%, 94%, 59%, and 86% and for the neck 93%, 100%, 100%, 75%, and 94%, respectively. Conclusions In patients who have received definitive (C)RT for HNSCC, post-treatment FDG-PET/CT has good potential to guide clinical decision-making. Patients with negative scan can safely be followed up clinically only, while positive scan necessitates tissue biopsies or a neck dissection to rule out residual disease.


2016 ◽  
Vol 119 ◽  
pp. S513
Author(s):  
J. Price ◽  
A. Pascoe ◽  
C. Weston ◽  
S. Kathirgamakarthigeyan ◽  
M. Griffin ◽  
...  

2018 ◽  
Vol 39 (10) ◽  
pp. 1884-1888 ◽  
Author(s):  
P. Wangaryattawanich ◽  
B.F. Branstetter ◽  
M. Hughes ◽  
D.A. Clump ◽  
D.E. Heron ◽  
...  

2020 ◽  
Author(s):  
Xiaohui Wang ◽  
Qingdong Cao ◽  
Xiaojing Wang ◽  
Ying Wang ◽  
Dan Li ◽  
...  

Abstract BackgroundMost esophageal squamous cell carcinoma (ESCC) imaging diagnoses can be performed by routine CT and ultrasound, but it is difficult to detect metastatic lymph nodes or minor lesions. Functional imaging diagnosis based on 18F-FDG PET/CT has potential advantages for detection of metastatic lymph nodes, or differentiation of benign from malignant lymph nodes, and for typing and staging of ESCC. The purpose of this study is to provide 18F-FDG PET/CT imaging for ESCC patient to quantify the difference between malignant lymph nodes (MLN) and benign lymph nodes (BLN) for ESCC. MethodsDynamic 18F-FDG PET/CT was performed in 46 patients (26 patients without MLN (N0 stage) and 20 with MLN (non-N0 stage) who were pathologically confirmed for ESCC. Visual and quantitative differences were measured in primary tumor (PT), MLN and BLN regions of interest (ROIs). Finally, 52 MLN and 133 BLN (83 from N0 stage and 50 from non-N0 stage) were included for analysis. Pharmacokinetic analysis was performed by a Patlak model using Matlab program to obtain the influx constant (Ki). Maximum standardized uptake value (SUVmax) was also determined from the static and dynamic PET/CT scans. Based on the receiver operator characteristic (ROC) curve, the sensitivity and specificity for each parameter in differentiation diagnosis were evaluated. ResultsKi and SUVmax in PT non-N0 group was slightly higher than in N0 groups (0.04 ± 0.02 vs 0.03 ± 0.03, 8.01 ± 3.90 vs 7.08 ± 5.39, respectively), but with no significant difference (p > 0.05). And Ki and SUVmax in MLN were higher than BLN with statistically significant difference (KiMLN vs KiBLN ( 0.021 ± 0.014 vs 0.006 ± 0.004, p < 0.0001); (SUVmaxMLN vs SUVmaxBLN (4.35 ± 2.27 vs 1.89 ± 0.85, p < 0.0001); The sensitivity both Ki and SUVmax were 80.77 %, the specificity for Ki was 89.47%, and SUVmax 87.22% respectively. And the diagnostic accuracy Ki (90.61%) was slightly better than SUVmax (88.16%). ConclusionsQuantitative parameters (both Ki and SUVmax) of 18F-FDG in ESCC patients are sensitive diagnostic measurements capable to identify MLNs from BLNs.


2012 ◽  
Vol 30 (5) ◽  
pp. 723-726 ◽  
Author(s):  
Henry M. Rosevear ◽  
Hadyn Williams ◽  
Matthew Collins ◽  
Andrew J. Lightfoot ◽  
Teresa Coleman ◽  
...  

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