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Combined quantitative T2 mapping and [(18)F]FDG PET could improve lateralization of mesial temporal lobe epilepsy

OBJECTIVES: To investigate whether quantitative T2 mapping is complementary to [(18)F]FDG PET in epileptogenic zone detection, thus improving the lateralization accuracy for drug-resistant mesial temporal lobe epilepsy (MTLE) using hybrid PET/MR. METHODS: We acquired routine structural MRI, T2-weigh...

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Autores principales: Zhang, Miao, Huang, Hui, Liu, Wei, Tang, Lihong, Li, Qikang, Wang, Jia, Huang, Xinyun, Lin, Xiaozhu, Meng, Hongping, Wang, Jin, Zhan, Shikun, Li, Biao, Luo, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381472/
https://www.ncbi.nlm.nih.gov/pubmed/35347363
http://dx.doi.org/10.1007/s00330-022-08707-5
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author Zhang, Miao
Huang, Hui
Liu, Wei
Tang, Lihong
Li, Qikang
Wang, Jia
Huang, Xinyun
Lin, Xiaozhu
Meng, Hongping
Wang, Jin
Zhan, Shikun
Li, Biao
Luo, Jie
author_facet Zhang, Miao
Huang, Hui
Liu, Wei
Tang, Lihong
Li, Qikang
Wang, Jia
Huang, Xinyun
Lin, Xiaozhu
Meng, Hongping
Wang, Jin
Zhan, Shikun
Li, Biao
Luo, Jie
author_sort Zhang, Miao
collection PubMed
description OBJECTIVES: To investigate whether quantitative T2 mapping is complementary to [(18)F]FDG PET in epileptogenic zone detection, thus improving the lateralization accuracy for drug-resistant mesial temporal lobe epilepsy (MTLE) using hybrid PET/MR. METHODS: We acquired routine structural MRI, T2-weighted FLAIR, whole brain T2 mapping, and [(18)F]FDG PET in 46 MTLE patients and healthy controls on a hybrid PET/MR scanner, followed with computing voxel-based z-score maps of patients in reference to healthy controls. Asymmetry indexes of the hippocampus were calculated for each imaging modality, which then enter logistic regression models as univariate or multivariate for lateralization. Stereoelectroencephalography (SEEG) recordings and clinical decisions were collected as gold standard. RESULTS: Routine structural MRI and T2w-FLAIR lateralized 47.8% (22/46) of MTLE patients, and FDG PET lateralized 84.8% (39/46). T2 mapping combined with [(18)F]FDG PET improved the lateralization accuracy by correctly lateralizing 95.6% (44/46) of MTLE patients. The asymmetry indexes of hippocampal T2 relaxometry and PET exhibit complementary tendency in detecting individual laterality, especially for MR-negative patients. In the quantitative analysis of z-score maps, the ipsilateral hippocampus had significantly lower SUVR (LTLE, p < 0.001; RTLE, p < 0.001) and higher T2 value (LTLE, p < 0.001; RTLE, p = 0.001) compared to the contralateral hippocampus. In logistic regression models, PET/T2 combination resulted in the highest AUC of 0.943 in predicting lateralization for MR-negative patients, followed by PET (AUC = 0.857) and T2 (AUC = 0.843). CONCLUSIONS: The combination of quantitative T2 mapping and [(18)F]FDG PET could improve lateralization for temporal lobe epilepsy. KEY POINTS: • Quantitative T2 mapping and(18)F-FDG PET are complementary in the characterization of hippocampal alterations of MR-negative temporal lobe epilepsy patients. • The combination of quantitative T2 and(18)F-FDG PET obtained from hybrid PET/MR could improve lateralization for temporal lobe epilepsy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-022-08707-5.
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spelling pubmed-93814722022-08-18 Combined quantitative T2 mapping and [(18)F]FDG PET could improve lateralization of mesial temporal lobe epilepsy Zhang, Miao Huang, Hui Liu, Wei Tang, Lihong Li, Qikang Wang, Jia Huang, Xinyun Lin, Xiaozhu Meng, Hongping Wang, Jin Zhan, Shikun Li, Biao Luo, Jie Eur Radiol Neuro OBJECTIVES: To investigate whether quantitative T2 mapping is complementary to [(18)F]FDG PET in epileptogenic zone detection, thus improving the lateralization accuracy for drug-resistant mesial temporal lobe epilepsy (MTLE) using hybrid PET/MR. METHODS: We acquired routine structural MRI, T2-weighted FLAIR, whole brain T2 mapping, and [(18)F]FDG PET in 46 MTLE patients and healthy controls on a hybrid PET/MR scanner, followed with computing voxel-based z-score maps of patients in reference to healthy controls. Asymmetry indexes of the hippocampus were calculated for each imaging modality, which then enter logistic regression models as univariate or multivariate for lateralization. Stereoelectroencephalography (SEEG) recordings and clinical decisions were collected as gold standard. RESULTS: Routine structural MRI and T2w-FLAIR lateralized 47.8% (22/46) of MTLE patients, and FDG PET lateralized 84.8% (39/46). T2 mapping combined with [(18)F]FDG PET improved the lateralization accuracy by correctly lateralizing 95.6% (44/46) of MTLE patients. The asymmetry indexes of hippocampal T2 relaxometry and PET exhibit complementary tendency in detecting individual laterality, especially for MR-negative patients. In the quantitative analysis of z-score maps, the ipsilateral hippocampus had significantly lower SUVR (LTLE, p < 0.001; RTLE, p < 0.001) and higher T2 value (LTLE, p < 0.001; RTLE, p = 0.001) compared to the contralateral hippocampus. In logistic regression models, PET/T2 combination resulted in the highest AUC of 0.943 in predicting lateralization for MR-negative patients, followed by PET (AUC = 0.857) and T2 (AUC = 0.843). CONCLUSIONS: The combination of quantitative T2 mapping and [(18)F]FDG PET could improve lateralization for temporal lobe epilepsy. KEY POINTS: • Quantitative T2 mapping and(18)F-FDG PET are complementary in the characterization of hippocampal alterations of MR-negative temporal lobe epilepsy patients. • The combination of quantitative T2 and(18)F-FDG PET obtained from hybrid PET/MR could improve lateralization for temporal lobe epilepsy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-022-08707-5. Springer Berlin Heidelberg 2022-03-28 2022 /pmc/articles/PMC9381472/ /pubmed/35347363 http://dx.doi.org/10.1007/s00330-022-08707-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) .
spellingShingle Neuro
Zhang, Miao
Huang, Hui
Liu, Wei
Tang, Lihong
Li, Qikang
Wang, Jia
Huang, Xinyun
Lin, Xiaozhu
Meng, Hongping
Wang, Jin
Zhan, Shikun
Li, Biao
Luo, Jie
Combined quantitative T2 mapping and [(18)F]FDG PET could improve lateralization of mesial temporal lobe epilepsy
title Combined quantitative T2 mapping and [(18)F]FDG PET could improve lateralization of mesial temporal lobe epilepsy
title_full Combined quantitative T2 mapping and [(18)F]FDG PET could improve lateralization of mesial temporal lobe epilepsy
title_fullStr Combined quantitative T2 mapping and [(18)F]FDG PET could improve lateralization of mesial temporal lobe epilepsy
title_full_unstemmed Combined quantitative T2 mapping and [(18)F]FDG PET could improve lateralization of mesial temporal lobe epilepsy
title_short Combined quantitative T2 mapping and [(18)F]FDG PET could improve lateralization of mesial temporal lobe epilepsy
title_sort combined quantitative t2 mapping and [(18)f]fdg pet could improve lateralization of mesial temporal lobe epilepsy
topic Neuro
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381472/
https://www.ncbi.nlm.nih.gov/pubmed/35347363
http://dx.doi.org/10.1007/s00330-022-08707-5
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