Diagnostic value of 18F-FDG PET/CT for atypical hepatic hemangioma

Author(s):  
Jianlin Wang ◽  
Aiqi Shi ◽  
Xiaofang Ding ◽  
Jiangyan Liu
2009 ◽  
Vol 37 (1) ◽  
pp. 136-145 ◽  
Author(s):  
Niklas Jasper ◽  
Jan Däbritz ◽  
Michael Frosch ◽  
Markus Loeffler ◽  
Matthias Weckesser ◽  
...  

2011 ◽  
Vol 32 (4) ◽  
pp. 252-259 ◽  
Author(s):  
Mei-Fang Cheng ◽  
Yen-Wen Wu ◽  
Kao-Lang Liu ◽  
Ruoh-Fang Yen ◽  
Yao-Ming Wu ◽  
...  

2017 ◽  
Vol 38 (1) ◽  
pp. 67-75 ◽  
Author(s):  
Zong Ruilong ◽  
Xie Daohai ◽  
Geng Li ◽  
Wang Xiaohong ◽  
Wang Chunjie ◽  
...  

2020 ◽  
Vol 9 (5) ◽  
pp. 1581
Author(s):  
Corinna Altini ◽  
Valentina Lavelli ◽  
Artor Niccoli-Asabella ◽  
Angela Sardaro ◽  
Alessia Branca ◽  
...  

Spondylodiscitis is a spine infection for which a diagnosis by a magnetic resonance imaging (MRI) is considered the most appropriate imaging technique. The aim of this study was to compare the role of an 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) and an MRI in this field. For 56 patients with suspected spondylodiscitis for whom MRI and 18F-FDG PET/CT were performed, we retrospectively analyzed the results. Cohen’s κ was applied to evaluate the agreement between the two techniques in all patients and in subgroups with a different number of spinal districts analyzed by the MRI. Sensitivity, specificity, and accuracy were also evaluated. The agreements of the 18F-FDG PET/CT and MRI in the evaluation of the entire population, whole-spine MRI, and two-districts MRI were moderate (κ = 0.456, κ = 0.432, and κ = 0.429, respectively). In patients for whom one-district MRI was performed, 18F-FDG PET/CT and MRI were both positive and completely concordant (κ = 1). We also separately evaluated patients with suspected spondylodiscitis caused by Mycobacterium tuberculosis for whom the MRI and 18F-FDG PET/CT were always concordant excepting in 2 of the 18 (11%) patients. Sensitivity, specificity, and accuracy of the MRI and 18F-FDG PET/CT were 100%, 60%, 97%, and 92%, 100%, and 94%, respectively. Our results confirmed the 18F-FDG PET/CT diagnostic value in the diagnosis of spondylodiscitis is comparable to that of MRI for the entire spine evaluation. This could be considered a complementary technique or a valid alternative to MRI.


2020 ◽  
Vol 9 (7) ◽  
pp. 2112
Author(s):  
Stamata Georga ◽  
Paraskevi Exadaktylou ◽  
Ioannis Petrou ◽  
Dimitrios Katsampoukas ◽  
Vasilios Mpalaris ◽  
...  

Conventional diagnostic imaging is often ineffective in revealing the underlying cause in a considerable proportion of patients with fever of unknown origin (FUO). The aim of this study was to assess the diagnostic value of fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT) in patients with FUO. We retrospectively reviewed 18F-FDG-PET/CT scans performed on 50 consecutive adult patients referred to our department for further investigation of classic FUO. Final diagnosis was based on histopathological and microbiological findings, clinical criteria, or clinical follow-up. Final diagnosis was established in 39/50 (78%) of the patients. The cause of FUO was infection in 20/50 (40%), noninfectious inflammatory diseases in 11/50 (22%), and malignancy in 8/50 (16%) patients. Fever remained unexplained in 11/50 (22%) patients. 18F-FDG-PET/CT scan substantially contributed to the diagnosis in 70% of the patients, either by identifying the underlying cause of FUO or by directing to the most appropriate site for biopsy. Sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of 18F-FDG-PET/CT for active disease detection in patients with FUO were 94.7%, 50.0%, 84.0%, 85.7%, and 75.0%, respectively. In conclusion, whole-body 18F-FDG-PET/CT is a highly sensitive method for detection of the underlining cause of FUO or for correctly targeting suspicious lesions for further evaluation.


2017 ◽  
Vol 45 (1) ◽  
pp. 102-109 ◽  
Author(s):  
Cinzia Crivellaro ◽  
Elena De Ponti ◽  
Federica Elisei ◽  
Sabrina Morzenti ◽  
Maria Picchio ◽  
...  

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