Literature DB >> 23698463

The comparison of 13N-ammonia and 18F-FDG in the evaluation of untreated gliomas.

Xinchong Shi1, Yubo Liu, Xiangsong Zhang, Chang Yi, Xiaoyan Wang, Zhifeng Chen, Bing Zhang.   

Abstract

OBJECTIVE: Noninvasive evaluation of glioma is of great help for clinical practice. In this study, we investigated the utility of 13N-ammonia in the evaluation of untreated gliomas and compared the results with that of 18F-FDG.
METHODS: Forty-five consecutive patients with final diagnosis of glioma were included in this study. PET/CT imaging was performed for all of them with both 18F-FDG and 13N-ammonia as tracers. Imaging results were analyzed by tumor-to-gray matter (T/G) ratios. Receiver operating characteristic curve analysis was conducted to determine the optimal T/G cutoff values of each tracer between low-grade and high-grade gliomas.
RESULTS: Forty-eight separate lesions were identified in all (grade II, n = 16; grade III, n = 12; and grade IV, n = 20). Twenty-nine out of 32 high-grade lesions (91%) showed higher uptakes than normal gray matter with N-ammonia in comparison with the result of 21 lesions (66%) with 18F-FDG. The optimal T/G cutoff values for 18F-FDG and 13N-ammonia were 0.64 and 0.86 separately with the area under each curve 0.910 and 0.943. The sensitivity and specificity of predicting high-grade gliomas with optimal cutoff values were 83% and 93% for 18F-FDG and 94% and 94% for 13N-ammonia, respectively.
CONCLUSION: 13N-Ammonia is superior to 18F-FDG not only in separating low-grade gliomas from high-grade ones but also in the detection of high-grade gliomas for better tumor to normal gray matter contrast.

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Year:  2013        PMID: 23698463     DOI: 10.1097/RLU.0b013e318295298d

Source DB:  PubMed          Journal:  Clin Nucl Med        ISSN: 0363-9762            Impact factor:   7.794


  7 in total

1.  Perfusion-metabolism coupling in recurrent gliomas: a prospective validation study with 13N-ammonia and 18F-fluorodeoxyglucose PET/CT.

Authors:  Bangkim Chandra Khangembam; Sellam Karunanithi; Punit Sharma; Sudhir Suman Kc; Rajeev Kumar; Pramod Kumar Julka; Rakesh Kumar; Chandrasekhar Bal
Journal:  Neuroradiology       Date:  2014-07-03       Impact factor: 2.804

Review 2.  13N-NH3 PET/CT in oncological disease.

Authors:  Domenico Albano; Raffaele Giubbini; Francesco Bertagna
Journal:  Jpn J Radiol       Date:  2019-10-10       Impact factor: 2.374

3.  Differentiation of suprasellar meningiomas from non-functioning pituitary macroadenomas by 18F-FDG and 13N-Ammonia PET/CT.

Authors:  Lei Ding; Fangling Zhang; Qiao He; Zhoulei Li; Xinchong Shi; Ruocheng Li; Xiangsong Zhang
Journal:  BMC Cancer       Date:  2020-06-17       Impact factor: 4.430

4.  Tc-99m Glucoheptonate Single Photon Emission Computed Tomography-Computed Tomography for Detection of Recurrent Glioma: A Prospective Comparison with N-13 Ammonia Positron Emission Tomography-Computed Tomography.

Authors:  Bangkim Chandra Khangembam; Abhinav Singhal; Rajeev Kumar; Chandrasekhar Bal
Journal:  Indian J Nucl Med       Date:  2019 Apr-Jun

5.  Pharmacological Vitamin C Treatment Impedes the Growth of Endogenous Glutamine-Dependent Cancers by Targeting Glutamine Synthetase.

Authors:  Yali Long; Jia Qiu; Bing Zhang; Peng He; Xinchong Shi; Qiao He; Zhifeng Chen; Wanqing Shen; Zhoulei Li; Xiangsong Zhang
Journal:  Front Pharmacol       Date:  2021-05-11       Impact factor: 5.810

6.  Identify glioma recurrence and treatment effects with triple-tracer PET/CT.

Authors:  Cong Li; Chang Yi; Yingshen Chen; Shaoyan Xi; Chengcheng Guo; Qunying Yang; Jian Wang; Ke Sai; Ji Zhang; Chao Ke; Fanfan Chen; Yanchun Lv; Xiangsong Zhang; Zhongping Chen
Journal:  BMC Med Imaging       Date:  2021-05-31       Impact factor: 1.930

7.  Feasibility on the Use of Radiomics Features of 11[C]-MET PET/CT in Central Nervous System Tumours: Preliminary Results on Potential Grading Discrimination Using a Machine Learning Model.

Authors:  Giorgio Russo; Alessandro Stefano; Pierpaolo Alongi; Albert Comelli; Barbara Catalfamo; Cristina Mantarro; Costanza Longo; Roberto Altieri; Francesco Certo; Sebastiano Cosentino; Maria Gabriella Sabini; Selene Richiusa; Giuseppe Maria Vincenzo Barbagallo; Massimo Ippolito
Journal:  Curr Oncol       Date:  2021-12-12       Impact factor: 3.677

  7 in total

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