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Identify glioma recurrence and treatment effects with triple-tracer PET/CT
BACKGROUND: Differential diagnosis of tumour recurrence (TuR) from treatment effects (TrE), mostly induced by radiotherapy and chemotherapy, is still difficult by using conventional computed tomography (CT) or magnetic resonance (MR) imaging. We have investigated the diagnostic performance of PET/CT...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165792/ https://www.ncbi.nlm.nih.gov/pubmed/34059015 http://dx.doi.org/10.1186/s12880-021-00624-1 |
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author | Li, Cong Yi, Chang Chen, Yingshen Xi, Shaoyan Guo, Chengcheng Yang, Qunying Wang, Jian Sai, Ke Zhang, Ji Ke, Chao Chen, Fanfan Lv, Yanchun Zhang, Xiangsong Chen, Zhongping |
author_facet | Li, Cong Yi, Chang Chen, Yingshen Xi, Shaoyan Guo, Chengcheng Yang, Qunying Wang, Jian Sai, Ke Zhang, Ji Ke, Chao Chen, Fanfan Lv, Yanchun Zhang, Xiangsong Chen, Zhongping |
author_sort | Li, Cong |
collection | PubMed |
description | BACKGROUND: Differential diagnosis of tumour recurrence (TuR) from treatment effects (TrE), mostly induced by radiotherapy and chemotherapy, is still difficult by using conventional computed tomography (CT) or magnetic resonance (MR) imaging. We have investigated the diagnostic performance of PET/CT with 3 tracers, (13)N-NH(3), (18)F-FDOPA, and (18)F-FDG, to identify TuR and TrE in glioma patients following treatment. METHODS: Forty-three patients with MR-suspected recurrent glioma were included. The maximum and mean standardized uptake values (SUVmax and SUVmean) of the lesion and the lesion-to-normal grey-matter cortex uptake (L/G) ratio were obtained from each tracer PET/CT. TuR or TrE was determined by histopathology or clinical MR follow-up for at least 6 months. RESULTS: In this cohort, 34 patients were confirmed to have TuR, and 9 patients met the diagnostic standard of TrE. The SUVmax and SUVmean of (13)N-NH(3) and (18)F-FDOPA PET/CT at TuR lesions were significantly higher compared with normal brain tissue ((13)N-NH(3) 0.696 ± 0.558, 0.625 ± 0.507 vs 0.486 ± 0.413; (18)F-FDOPA 0.455 ± 0.518, 0.415 ± 0.477 vs 0.194 ± 0.203; both P < 0.01), but there was no significant difference in (18)F-FDG (6.918 ± 3.190, 6.016 ± 2.807 vs 6.356 ± 3.104, P = 0.290 and 0.493). L/G ratios of (13)N-NH(3) and (18)F-FDOPA were significantly higher in TuR than in TrE group ((13)N-NH(3,) 1.573 ± 0.099 vs 1.025 ± 0.128, P = 0.008; (18)F-FDOPA, 2.729 ± 0.131 vs 1.514 ± 0.141, P < 0.001). The sensitivity, specificity and AUC (area under the curve) by ROC (receiver operating characteristic) analysis were 57.7%, 100% and 0.803, for (13)N-NH(3); 84.6%, 100% and 0.938, for (18)F-FDOPA; and 80.8%, 100%, and 0.952, for the combination, respectively. CONCLUSION: Our results suggest that although multiple tracer PET/CT may improve differential diagnosis efficacy, for glioma TuR from TrE, (18)F-FDOPA PET-CT is the most reliable. The combination of (18)F-FDOPA and (13)N-NH(3) does not increase the diagnostic efficiency, while (18)F-FDG is not worthy for differential diagnosis of glioma TuR and TrE. |
format | Online Article Text |
id | pubmed-8165792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81657922021-06-01 Identify glioma recurrence and treatment effects with triple-tracer PET/CT Li, Cong Yi, Chang Chen, Yingshen Xi, Shaoyan Guo, Chengcheng Yang, Qunying Wang, Jian Sai, Ke Zhang, Ji Ke, Chao Chen, Fanfan Lv, Yanchun Zhang, Xiangsong Chen, Zhongping BMC Med Imaging Research Article BACKGROUND: Differential diagnosis of tumour recurrence (TuR) from treatment effects (TrE), mostly induced by radiotherapy and chemotherapy, is still difficult by using conventional computed tomography (CT) or magnetic resonance (MR) imaging. We have investigated the diagnostic performance of PET/CT with 3 tracers, (13)N-NH(3), (18)F-FDOPA, and (18)F-FDG, to identify TuR and TrE in glioma patients following treatment. METHODS: Forty-three patients with MR-suspected recurrent glioma were included. The maximum and mean standardized uptake values (SUVmax and SUVmean) of the lesion and the lesion-to-normal grey-matter cortex uptake (L/G) ratio were obtained from each tracer PET/CT. TuR or TrE was determined by histopathology or clinical MR follow-up for at least 6 months. RESULTS: In this cohort, 34 patients were confirmed to have TuR, and 9 patients met the diagnostic standard of TrE. The SUVmax and SUVmean of (13)N-NH(3) and (18)F-FDOPA PET/CT at TuR lesions were significantly higher compared with normal brain tissue ((13)N-NH(3) 0.696 ± 0.558, 0.625 ± 0.507 vs 0.486 ± 0.413; (18)F-FDOPA 0.455 ± 0.518, 0.415 ± 0.477 vs 0.194 ± 0.203; both P < 0.01), but there was no significant difference in (18)F-FDG (6.918 ± 3.190, 6.016 ± 2.807 vs 6.356 ± 3.104, P = 0.290 and 0.493). L/G ratios of (13)N-NH(3) and (18)F-FDOPA were significantly higher in TuR than in TrE group ((13)N-NH(3,) 1.573 ± 0.099 vs 1.025 ± 0.128, P = 0.008; (18)F-FDOPA, 2.729 ± 0.131 vs 1.514 ± 0.141, P < 0.001). The sensitivity, specificity and AUC (area under the curve) by ROC (receiver operating characteristic) analysis were 57.7%, 100% and 0.803, for (13)N-NH(3); 84.6%, 100% and 0.938, for (18)F-FDOPA; and 80.8%, 100%, and 0.952, for the combination, respectively. CONCLUSION: Our results suggest that although multiple tracer PET/CT may improve differential diagnosis efficacy, for glioma TuR from TrE, (18)F-FDOPA PET-CT is the most reliable. The combination of (18)F-FDOPA and (13)N-NH(3) does not increase the diagnostic efficiency, while (18)F-FDG is not worthy for differential diagnosis of glioma TuR and TrE. BioMed Central 2021-05-31 /pmc/articles/PMC8165792/ /pubmed/34059015 http://dx.doi.org/10.1186/s12880-021-00624-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Li, Cong Yi, Chang Chen, Yingshen Xi, Shaoyan Guo, Chengcheng Yang, Qunying Wang, Jian Sai, Ke Zhang, Ji Ke, Chao Chen, Fanfan Lv, Yanchun Zhang, Xiangsong Chen, Zhongping Identify glioma recurrence and treatment effects with triple-tracer PET/CT |
title | Identify glioma recurrence and treatment effects with triple-tracer PET/CT |
title_full | Identify glioma recurrence and treatment effects with triple-tracer PET/CT |
title_fullStr | Identify glioma recurrence and treatment effects with triple-tracer PET/CT |
title_full_unstemmed | Identify glioma recurrence and treatment effects with triple-tracer PET/CT |
title_short | Identify glioma recurrence and treatment effects with triple-tracer PET/CT |
title_sort | identify glioma recurrence and treatment effects with triple-tracer pet/ct |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165792/ https://www.ncbi.nlm.nih.gov/pubmed/34059015 http://dx.doi.org/10.1186/s12880-021-00624-1 |
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