Yali Long, Qiao He, Bing Zhang, Xinchong Shi, C. Yi
{"title":"13N-NH3、11C-MET和18F-FDG在脑胶质瘤诊断和评价中的比较","authors":"Yali Long, Qiao He, Bing Zhang, Xinchong Shi, C. Yi","doi":"10.3760/CMA.J.CN321828-20190724-00141","DOIUrl":null,"url":null,"abstract":"Objective \nTo compare the application of 13N-NH3, 11C-methionine (MET) and 18F-fluorodeoxyglucose (FDG) PET/CT imaging in the diagnosis and evaluation of suspected cerebral glioma. \n \n \nMethods \nFrom September 2010 to December 2017, ninety patients (54 males, 36 females; age: (40.0±14.0) years) in the First Affiliated Hospital of Sun Yat-sen University with suspected glioma based on clinical diagnosis, who underwent 13N-NH3, 11C-MET and 18F-FDG PET/CT imaging, were prospectively enrolled in the study. All patients were confirmed by histology or clinical and radiological follow-up. Images were interpreted by visual evaluation (higher radioactive uptake in lesions than that in the contralateral normal brain parenchyma was considered as positive (+ ), equal/lower were considered as negative (-)) and semi-quantitative analysis (the maximum standardized uptake value (SUV) of lesion (L) to the mean SUV of normal white matter (WM) (L/WM ratio)). Receiver operating characteristic (ROC) curve analysis was used and the area under curves (AUCs) were calculated and compared. The diagnostic efficacies of 3 imaging methods and the combination for diagnosing gliomas and the abilities to differentiating high-grade gliomas (HGG) and low-grade gliomas (LGG) were compared. \n \n \nResults \nIn 90 patients, 30 HGG, 27 LGG, 10 non-glioma brain tumors and 23 non-neoplastic lesions (NNL) were diagnosed. On visual evaluation, the sensitivities for differentiating tumors from NNL were 62.7%(42/67), 94.0%(63/67) and 35.8% (24/67) for 13N-NH3, 11C-MET and 18F-FDG PET/CT respectively, while the specificities were 95.7%(22/23), 56.5% (13/23) and 65.2% (15/23), and the accuracies were 71.1%(64/90), 84.4%(76/90) and 43.3% (39/90). Taking the metabolic patterns of + /+ /+ , + /+ /- and + /-/- (11C-MET/13N-NH3/18F-FDG) as the diagnosis standard of tumor lesions, the specificity and accuracy of the combined method increased to 73.9%(17/23) and 88.9%(80/90) with the sensitivity remaining the same (94.0%, 63/67). ROC curve analysis (L/WM) showed that the sensitivity, specificity and AUC were 64.2%(43/67), 100%(23/23) and 0.819 for 13N-NH3 PET/CT, and 89.6%(60/67), 69.6%(16/23) and 0.840 for 11C-MET PET/CT (z=-0.316, P>0.05). The accuracy for differentiating high and low grade glioma were 86.0% (49/57), 87.7%(50/57) and 93.0%(53/57) for 13N-NH3, 11C-MET and 18F-FDG PET/CT, with the AUC of 0.896, 0.928 and 0.964, respectively (z values: -0.554 to 1.334, all P>0.05). \n \n \nConclusions \n13N-NH3 PET/CT imaging has remarkably high specificity but low sensitivity for the differentiation of brain tumors from NNL. 11C-MET PET/CT imaging was found to be highly useful for detection of brain tumors. However, like 18F-FDG, high MET uptake is frequently observed in some NNL. 13N-NH3, 11C-MET and 18F-FDG PET/CT imaging all appear to be valuable for evaluating the histological grade of gliomas, and the combination of them is more useful for the accurate diagnosis of glioma. \n \n \nKey words: \nGlioma; Positron-emission tomography; Tomography, X-ray computed; NH3; Methionine; Deoxyglucose","PeriodicalId":10099,"journal":{"name":"中华核医学与分子影像杂志","volume":"40 1","pages":"159-165"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of 13N-NH3, 11C-MET and 18F-FDG PET/CT imaging in the diagnosis and evaluation of cerebral glioma\",\"authors\":\"Yali Long, Qiao He, Bing Zhang, Xinchong Shi, C. Yi\",\"doi\":\"10.3760/CMA.J.CN321828-20190724-00141\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective \\nTo compare the application of 13N-NH3, 11C-methionine (MET) and 18F-fluorodeoxyglucose (FDG) PET/CT imaging in the diagnosis and evaluation of suspected cerebral glioma. \\n \\n \\nMethods \\nFrom September 2010 to December 2017, ninety patients (54 males, 36 females; age: (40.0±14.0) years) in the First Affiliated Hospital of Sun Yat-sen University with suspected glioma based on clinical diagnosis, who underwent 13N-NH3, 11C-MET and 18F-FDG PET/CT imaging, were prospectively enrolled in the study. All patients were confirmed by histology or clinical and radiological follow-up. Images were interpreted by visual evaluation (higher radioactive uptake in lesions than that in the contralateral normal brain parenchyma was considered as positive (+ ), equal/lower were considered as negative (-)) and semi-quantitative analysis (the maximum standardized uptake value (SUV) of lesion (L) to the mean SUV of normal white matter (WM) (L/WM ratio)). Receiver operating characteristic (ROC) curve analysis was used and the area under curves (AUCs) were calculated and compared. The diagnostic efficacies of 3 imaging methods and the combination for diagnosing gliomas and the abilities to differentiating high-grade gliomas (HGG) and low-grade gliomas (LGG) were compared. \\n \\n \\nResults \\nIn 90 patients, 30 HGG, 27 LGG, 10 non-glioma brain tumors and 23 non-neoplastic lesions (NNL) were diagnosed. On visual evaluation, the sensitivities for differentiating tumors from NNL were 62.7%(42/67), 94.0%(63/67) and 35.8% (24/67) for 13N-NH3, 11C-MET and 18F-FDG PET/CT respectively, while the specificities were 95.7%(22/23), 56.5% (13/23) and 65.2% (15/23), and the accuracies were 71.1%(64/90), 84.4%(76/90) and 43.3% (39/90). Taking the metabolic patterns of + /+ /+ , + /+ /- and + /-/- (11C-MET/13N-NH3/18F-FDG) as the diagnosis standard of tumor lesions, the specificity and accuracy of the combined method increased to 73.9%(17/23) and 88.9%(80/90) with the sensitivity remaining the same (94.0%, 63/67). ROC curve analysis (L/WM) showed that the sensitivity, specificity and AUC were 64.2%(43/67), 100%(23/23) and 0.819 for 13N-NH3 PET/CT, and 89.6%(60/67), 69.6%(16/23) and 0.840 for 11C-MET PET/CT (z=-0.316, P>0.05). The accuracy for differentiating high and low grade glioma were 86.0% (49/57), 87.7%(50/57) and 93.0%(53/57) for 13N-NH3, 11C-MET and 18F-FDG PET/CT, with the AUC of 0.896, 0.928 and 0.964, respectively (z values: -0.554 to 1.334, all P>0.05). \\n \\n \\nConclusions \\n13N-NH3 PET/CT imaging has remarkably high specificity but low sensitivity for the differentiation of brain tumors from NNL. 11C-MET PET/CT imaging was found to be highly useful for detection of brain tumors. However, like 18F-FDG, high MET uptake is frequently observed in some NNL. 13N-NH3, 11C-MET and 18F-FDG PET/CT imaging all appear to be valuable for evaluating the histological grade of gliomas, and the combination of them is more useful for the accurate diagnosis of glioma. \\n \\n \\nKey words: \\nGlioma; Positron-emission tomography; Tomography, X-ray computed; NH3; Methionine; Deoxyglucose\",\"PeriodicalId\":10099,\"journal\":{\"name\":\"中华核医学与分子影像杂志\",\"volume\":\"40 1\",\"pages\":\"159-165\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"中华核医学与分子影像杂志\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3760/CMA.J.CN321828-20190724-00141\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华核医学与分子影像杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/CMA.J.CN321828-20190724-00141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison of 13N-NH3, 11C-MET and 18F-FDG PET/CT imaging in the diagnosis and evaluation of cerebral glioma
Objective
To compare the application of 13N-NH3, 11C-methionine (MET) and 18F-fluorodeoxyglucose (FDG) PET/CT imaging in the diagnosis and evaluation of suspected cerebral glioma.
Methods
From September 2010 to December 2017, ninety patients (54 males, 36 females; age: (40.0±14.0) years) in the First Affiliated Hospital of Sun Yat-sen University with suspected glioma based on clinical diagnosis, who underwent 13N-NH3, 11C-MET and 18F-FDG PET/CT imaging, were prospectively enrolled in the study. All patients were confirmed by histology or clinical and radiological follow-up. Images were interpreted by visual evaluation (higher radioactive uptake in lesions than that in the contralateral normal brain parenchyma was considered as positive (+ ), equal/lower were considered as negative (-)) and semi-quantitative analysis (the maximum standardized uptake value (SUV) of lesion (L) to the mean SUV of normal white matter (WM) (L/WM ratio)). Receiver operating characteristic (ROC) curve analysis was used and the area under curves (AUCs) were calculated and compared. The diagnostic efficacies of 3 imaging methods and the combination for diagnosing gliomas and the abilities to differentiating high-grade gliomas (HGG) and low-grade gliomas (LGG) were compared.
Results
In 90 patients, 30 HGG, 27 LGG, 10 non-glioma brain tumors and 23 non-neoplastic lesions (NNL) were diagnosed. On visual evaluation, the sensitivities for differentiating tumors from NNL were 62.7%(42/67), 94.0%(63/67) and 35.8% (24/67) for 13N-NH3, 11C-MET and 18F-FDG PET/CT respectively, while the specificities were 95.7%(22/23), 56.5% (13/23) and 65.2% (15/23), and the accuracies were 71.1%(64/90), 84.4%(76/90) and 43.3% (39/90). Taking the metabolic patterns of + /+ /+ , + /+ /- and + /-/- (11C-MET/13N-NH3/18F-FDG) as the diagnosis standard of tumor lesions, the specificity and accuracy of the combined method increased to 73.9%(17/23) and 88.9%(80/90) with the sensitivity remaining the same (94.0%, 63/67). ROC curve analysis (L/WM) showed that the sensitivity, specificity and AUC were 64.2%(43/67), 100%(23/23) and 0.819 for 13N-NH3 PET/CT, and 89.6%(60/67), 69.6%(16/23) and 0.840 for 11C-MET PET/CT (z=-0.316, P>0.05). The accuracy for differentiating high and low grade glioma were 86.0% (49/57), 87.7%(50/57) and 93.0%(53/57) for 13N-NH3, 11C-MET and 18F-FDG PET/CT, with the AUC of 0.896, 0.928 and 0.964, respectively (z values: -0.554 to 1.334, all P>0.05).
Conclusions
13N-NH3 PET/CT imaging has remarkably high specificity but low sensitivity for the differentiation of brain tumors from NNL. 11C-MET PET/CT imaging was found to be highly useful for detection of brain tumors. However, like 18F-FDG, high MET uptake is frequently observed in some NNL. 13N-NH3, 11C-MET and 18F-FDG PET/CT imaging all appear to be valuable for evaluating the histological grade of gliomas, and the combination of them is more useful for the accurate diagnosis of glioma.
Key words:
Glioma; Positron-emission tomography; Tomography, X-ray computed; NH3; Methionine; Deoxyglucose
期刊介绍:
Chinese Journal of Nuclear Medicine and Molecular Imaging (CJNMMI) was established in 1981, with the name of Chinese Journal of Nuclear Medicine, and renamed in 2012. As the specialized periodical in the domain of nuclear medicine in China, the aim of Chinese Journal of Nuclear Medicine and Molecular Imaging is to develop nuclear medicine sciences, push forward nuclear medicine education and basic construction, foster qualified personnel training and academic exchanges, and popularize related knowledge and raising public awareness.
Topics of interest for Chinese Journal of Nuclear Medicine and Molecular Imaging include:
-Research and commentary on nuclear medicine and molecular imaging with significant implications for disease diagnosis and treatment
-Investigative studies of heart, brain imaging and tumor positioning
-Perspectives and reviews on research topics that discuss the implications of findings from the basic science and clinical practice of nuclear medicine and molecular imaging
- Nuclear medicine education and personnel training
- Topics of interest for nuclear medicine and molecular imaging include subject coverage diseases such as cardiovascular diseases, cancer, Alzheimer’s disease, and Parkinson’s disease, and also radionuclide therapy, radiomics, molecular probes and related translational research.