Weiyan Zhou, Fengchun Hua, Jianfei Xiao, Ming Li, Yuhua Zhu, Tao Hua
{"title":"Preoperative 11C-methionine PET imaging in glioma grading efficacy and its predictive value for IDH1 gene mutation status","authors":"Weiyan Zhou, Fengchun Hua, Jianfei Xiao, Ming Li, Yuhua Zhu, Tao Hua","doi":"10.3760/CMA.J.CN321828-20190729-00138","DOIUrl":null,"url":null,"abstract":"Objective \nTo assess the preoperative 11C-methionine (11C-MET) PET imaging in glioma grading efficacy and its predictive value for isocitrate dehydrogenase enzyme 1 (IDH1) gene mutation status. \n \n \nMethods \nA total of 118 glioma cases (70 males, 48 females; median age 45 years, age range: 10-71 years; Ⅱ grade 65 cases, Ⅲ grade 34 cases, Ⅳ grade 19 cases) received 11C-MET PET imaging in PET Center of Huashan Hospital from February 2012 to November 2017 were retrospectively analyzed. Lesion-based semi-quantitative analysis was conducted on the 11C-MET imaging. Maximum standardized uptake value (SUVmax), peak standardized uptake value (SUVpeak), tumor-to-background ratio (TBR; SUVmax in lesion/mean standardized uptake value (SUVmean) in normal contralateral cortex) were calculated. Independent-sample t test and one-way analysis of variance were applied to assess the differentiating efficacy of 11C-MET PET imaging for different glioma groups. Based on IDH1 immunohistochemical staining results, predictive efficacy of 11C-MET PET diagnostic parameters on IDH1 mutation status in glioma patients was further analyzed with receiver operating characteristic (ROC) curve analysis. \n \n \nResults \nLow-grade glioma (LGG; grade Ⅱ) group showed significant differences from high-grade glioma (HGG; grade Ⅲ-Ⅳ) group in SUVmax(2.458±1.100 vs 3.828±1.540; t=5.624, P<0.01), SUVpeak (2.160±0.991 vs 3.261±1.319; t=5.175, P<0.01) and TBR (2.283±0.942 vs 3.434±1.395; t=5.328, P<0.01). SUVmax (2.458±1.100, 3.591±1.611 and 4.251±1.343; F=17.67, P<0.01), SUVpeak(2.160±0.991, 3.040±1.335 and 3.656±1.225; F=15.48, P<0.01) and TBR (2.283±0.942, 3.010±1.242 and 4.192±1.358; F=22.73, P<0.01) were different in grade Ⅱ, Ⅲ and Ⅳ glioma subgroups. SUVmax, SUVpeak and TBR all showed significant differences between grade Ⅱ and grade Ⅲ gliomas, grade Ⅱ and grade Ⅳ gliomas, and there were also statistical differences between grade Ⅲ and grade Ⅳ glioma with TBR (all P<0.01). SUVmax indicated the best single-parameter prediction performance (area under curve (AUC) =0.808, z=7.193, P<0.01), while the SUVmax + SUVpeak showed the best performance (AUC=0.852, z=9.115, P<0.01). In the subgroup of grade Ⅱ (n=55), TBR of patients with IDH1 gene mutation (n=41) was lower than that of patients with IDH1 wild-types (n=14; 2.152±0.759 vs 2.793±1.208; t=2.326, P=0.02), while TBR of those with oligodendrogenic components (n=26) was higher than that of patients with IDH1 gene mutation only (n=18; 2.383±0.825 vs 1.854±0.478; t=2.447, P=0.02). \n \n \nConclusions \nPreoperative semi-quantitative parameters (SUVmax, SUVpeak, TBR) of 11C-MET brain PET imaging have satisfactory grading discrimination performance for glioma patients. SUVmax is the best predictor for IDH1 mutation as a single parameter, while SUVmax + SUVpeak showed the most optimized predictive ability. The oligodendrogenic components in glioma can increase the uptake of 11C-MET, which may affect the effectiveness of 11C-MET in determining glioma grade to some extent. \n \n \nKey words: \nGlioma; Positron-emission tomography; Methionine; Genes; Mutation; Isocitrate Dehydrogenase","PeriodicalId":10099,"journal":{"name":"中华核医学与分子影像杂志","volume":"40 1","pages":"153-158"},"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.CN321828-20190729-00138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
To assess the preoperative 11C-methionine (11C-MET) PET imaging in glioma grading efficacy and its predictive value for isocitrate dehydrogenase enzyme 1 (IDH1) gene mutation status.
Methods
A total of 118 glioma cases (70 males, 48 females; median age 45 years, age range: 10-71 years; Ⅱ grade 65 cases, Ⅲ grade 34 cases, Ⅳ grade 19 cases) received 11C-MET PET imaging in PET Center of Huashan Hospital from February 2012 to November 2017 were retrospectively analyzed. Lesion-based semi-quantitative analysis was conducted on the 11C-MET imaging. Maximum standardized uptake value (SUVmax), peak standardized uptake value (SUVpeak), tumor-to-background ratio (TBR; SUVmax in lesion/mean standardized uptake value (SUVmean) in normal contralateral cortex) were calculated. Independent-sample t test and one-way analysis of variance were applied to assess the differentiating efficacy of 11C-MET PET imaging for different glioma groups. Based on IDH1 immunohistochemical staining results, predictive efficacy of 11C-MET PET diagnostic parameters on IDH1 mutation status in glioma patients was further analyzed with receiver operating characteristic (ROC) curve analysis.
Results
Low-grade glioma (LGG; grade Ⅱ) group showed significant differences from high-grade glioma (HGG; grade Ⅲ-Ⅳ) group in SUVmax(2.458±1.100 vs 3.828±1.540; t=5.624, P<0.01), SUVpeak (2.160±0.991 vs 3.261±1.319; t=5.175, P<0.01) and TBR (2.283±0.942 vs 3.434±1.395; t=5.328, P<0.01). SUVmax (2.458±1.100, 3.591±1.611 and 4.251±1.343; F=17.67, P<0.01), SUVpeak(2.160±0.991, 3.040±1.335 and 3.656±1.225; F=15.48, P<0.01) and TBR (2.283±0.942, 3.010±1.242 and 4.192±1.358; F=22.73, P<0.01) were different in grade Ⅱ, Ⅲ and Ⅳ glioma subgroups. SUVmax, SUVpeak and TBR all showed significant differences between grade Ⅱ and grade Ⅲ gliomas, grade Ⅱ and grade Ⅳ gliomas, and there were also statistical differences between grade Ⅲ and grade Ⅳ glioma with TBR (all P<0.01). SUVmax indicated the best single-parameter prediction performance (area under curve (AUC) =0.808, z=7.193, P<0.01), while the SUVmax + SUVpeak showed the best performance (AUC=0.852, z=9.115, P<0.01). In the subgroup of grade Ⅱ (n=55), TBR of patients with IDH1 gene mutation (n=41) was lower than that of patients with IDH1 wild-types (n=14; 2.152±0.759 vs 2.793±1.208; t=2.326, P=0.02), while TBR of those with oligodendrogenic components (n=26) was higher than that of patients with IDH1 gene mutation only (n=18; 2.383±0.825 vs 1.854±0.478; t=2.447, P=0.02).
Conclusions
Preoperative semi-quantitative parameters (SUVmax, SUVpeak, TBR) of 11C-MET brain PET imaging have satisfactory grading discrimination performance for glioma patients. SUVmax is the best predictor for IDH1 mutation as a single parameter, while SUVmax + SUVpeak showed the most optimized predictive ability. The oligodendrogenic components in glioma can increase the uptake of 11C-MET, which may affect the effectiveness of 11C-MET in determining glioma grade to some extent.
Key words:
Glioma; Positron-emission tomography; Methionine; Genes; Mutation; Isocitrate Dehydrogenase
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.