fluorodeoxyglucose pet
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2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Nazim Coskun ◽  
Berkay Cagdas ◽  
Unsal Eroglu ◽  
Yilmaz Aslan ◽  
Seyda Turkolmez

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Sung Hun Bae ◽  
Ju-Yeon Kim ◽  
Eun Jung Jung ◽  
Han Shin Lee ◽  
Bong-Hoi Choi ◽  
...  

2021 ◽  
Vol 46 (11) ◽  
pp. 5086-5094
Author(s):  
Verena Plodeck ◽  
Ivan Platzek ◽  
Johannes Streitzig ◽  
Heiner Nebelung ◽  
Sophia Blum ◽  
...  

Abstract Purpose To compare the diagnostic performance of 18F-fluorodeoxyglucose-PET/MRI and MRI in the diagnosis of pelvic recurrence of rectal cancer. Methods All PET/MRIs of patients in the follow-up of rectal cancer performed between 2011 and 2018 at our institution were retrospectively reviewed. Recurrence was confirmed/excluded either by histopathology or imaging follow-up (> 4 months). Four groups of readers (groups 1/2: one radiologist each, groups 3/4: one radiologist/one nuclear medicine physician) independently interpreted MRI and PET/MRI. The likelihood of recurrence was scored on a 5-point-scale. Inter-reader agreement, sensitivity, specificity, PPV/NPV and accuracy were assessed. ROC curve analyses were performed. Results Fourty-one PET/MRIs of 40 patients (mean 61 years ± 10.9; 11 women, 29 men) were included. Sensitivity of PET/MRI in detecting recurrence was 94%, specificity 88%, PPV/NPV 97% and 78%, accuracy 93%. Sensitivity of MRI was 88%, specificity 75%, PPV/NPV 94% and 60%, accuracy 85%. ROC curve analyses showed an AUC of 0.97 for PET/MRI and 0.92 for MRI, but the difference was not statistically significant (p = 0.116). On MRI more cases were scored as equivocal (12% versus 5%). Inter-reader agreement was substantial for PET/MRI and MRI (0.723 and 0.656, respectively). Conclusion 18F-FDG-PET/MRI and MRI are accurate in the diagnosis of locally recurrent rectal cancer. Sensitivity, specificity, PPV, NPV and accuracy are comparable for both modalities, but PET/MRI increases readers’ confidence levels and reduces the number of equivocal cases. Graphic abstract


Author(s):  
Ghassan Elourimi ◽  
Michael Soussan ◽  
Matthieu Groh ◽  
Antoine Martin ◽  
Francoise Héran ◽  
...  

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