Jun Yu1, Jingwei Zheng1, Weilin Xu1, Jiaqi Weng2, Liansheng Gao1, Li Tao1, Feng Liang3, Jianmin Zhang4. 1. Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China. 2. Shaoxin Keqiao Women & Children's Hospital, Shaoxin, Zhejiang, China. 3. Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China. Electronic address: frankfeng@zju.edu.cn. 4. Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Brain Research Institute, Zhejiang University, Hangzhou, Zhejiang, China; Collaborative Innovation Center for Brain Science, Zhejiang University, Hangzhou, Zhejiang, China. Electronic address: zjm135@zju.edu.cn.
Abstract
BACKGROUND: Distinguishing radiation necrosis from brain tumor recurrence remains challenging. We performed a meta-analysis to assess the diagnostic accuracy of 2 different amino acid tracers used in positron emission tomography/computed tomography scans: 18F-FDOPA (6-[18F]-fluoro-L-3,4-dihydroxyphenylalanine) and 18F-FET (O-(2-18F-fluoroethyl)-L-tyrosine). METHODS: We searched for studies in 3 databases: PubMed, Embase, and Chinese Biomedical databases. The data were extracted from eligible studies and then processed with heterogeneity test, threshold effect test, and calculations of sensitivity, specificity, and area under the summary receiver operating characteristic curve. Meta-regression and subgroup analyses were performed to explore the source of heterogeneity. RESULTS: A total of 48 studies (18F-FDOPA, n = 21; 18F-FET, n = 27) were included. Quantitative synthesis determined pooled weight values in the 18F-FDOPA and 18F-FET groups: sensitivity, 0.85 versus 0.82; specificity, 0.77 versus 0.80; diagnostic odds ratio, 21.7 versus 23.03; area under the curve (AUC) values, 0.8771 versus 0.8976 (P = 0.46). Moreover, the type of tumor was identified as the possible source of the significant heterogeneity (I2 = 52%; P = 0.003) found in the 18F-FDOPA group. In meta-regression and subgroup analyses, 18F-FDOPA showed better diagnostic accuracy in patients with glioma compared with patients with brain metastases (AUC values, 0.9691 vs. 0.837; P < 0.01). 18F-FDOPA also showed a significant advantage in the diagnosis of glioma recurrence compared with 18F-FET (AUC values, 0.9691 vs. 0.9124; P = 0.015). CONCLUSIONS: Both 18F-FDOPA and 18F-FET exhibit moderate overall accuracy in diagnosing brain tumor recurrence from radiation necrosis. However, 18F-FDOPA is more adept at diagnosing glioma recurrence compared with brain metastases, and it is more effective than 18F-FET in diagnosing glioma recurrence.
BACKGROUND: Distinguishing radiation necrosis from brain tumor recurrence remains challenging. We performed a meta-analysis to assess the diagnostic accuracy of 2 different amino acid tracers used in positron emission tomography/computed tomography scans: 18F-FDOPA (6-[18F]-fluoro-L-3,4-dihydroxyphenylalanine) and 18F-FET (O-(2-18F-fluoroethyl)-L-tyrosine). METHODS: We searched for studies in 3 databases: PubMed, Embase, and Chinese Biomedical databases. The data were extracted from eligible studies and then processed with heterogeneity test, threshold effect test, and calculations of sensitivity, specificity, and area under the summary receiver operating characteristic curve. Meta-regression and subgroup analyses were performed to explore the source of heterogeneity. RESULTS: A total of 48 studies (18F-FDOPA, n = 21; 18F-FET, n = 27) were included. Quantitative synthesis determined pooled weight values in the 18F-FDOPA and 18F-FET groups: sensitivity, 0.85 versus 0.82; specificity, 0.77 versus 0.80; diagnostic odds ratio, 21.7 versus 23.03; area under the curve (AUC) values, 0.8771 versus 0.8976 (P = 0.46). Moreover, the type of tumor was identified as the possible source of the significant heterogeneity (I2 = 52%; P = 0.003) found in the 18F-FDOPA group. In meta-regression and subgroup analyses, 18F-FDOPA showed better diagnostic accuracy in patients with glioma compared with patients with brain metastases (AUC values, 0.9691 vs. 0.837; P < 0.01). 18F-FDOPA also showed a significant advantage in the diagnosis of glioma recurrence compared with 18F-FET (AUC values, 0.9691 vs. 0.9124; P = 0.015). CONCLUSIONS: Both 18F-FDOPA and 18F-FET exhibit moderate overall accuracy in diagnosing brain tumor recurrence from radiation necrosis. However, 18F-FDOPA is more adept at diagnosing glioma recurrence compared with brain metastases, and it is more effective than 18F-FET in diagnosing glioma recurrence.
Authors: Mariam Aboian; Ramon Barajas; Julia Shatalov; Vahid Ravanfar; Emma Bahroos; Elizabeth Tong; Jennie W Taylor; N Oberheim Bush; Patricia Sneed; Youngho Seo; Soonmee Cha; Miguel Hernandez-Pampaloni Journal: Neurooncol Pract Date: 2020-10-14
Authors: Giorgio Treglia; Barbara Muoio; Gianluca Trevisi; Maria Vittoria Mattoli; Domenico Albano; Francesco Bertagna; Luca Giovanella Journal: Int J Mol Sci Date: 2019-09-20 Impact factor: 5.923