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NeuroGam Software Analysis in Epilepsy Diagnosis Using (99m)Tc-ECD Brain Perfusion SPECT Imaging
BACKGROUND: The aim of this study was to explore the value of NeuroGam software in diagnosis of epilepsy by (99)Tc(m)-ethyl cysteinate dimer (ECD) brain imaging. MATERIAL/METHODS: NeuroGam was used to analyze 52 cases of clinically proven epilepsy by (99)Tc(m)-ECD brain imaging. The results were com...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Scientific Literature, Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4581683/ https://www.ncbi.nlm.nih.gov/pubmed/26386662 http://dx.doi.org/10.12659/MSM.894566 |
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author | Fu, Peng Zhang, Fang Gao, Jianqing Jing, Jianmin Pan, Liping Li, Dongxue Wei, Lingge |
author_facet | Fu, Peng Zhang, Fang Gao, Jianqing Jing, Jianmin Pan, Liping Li, Dongxue Wei, Lingge |
author_sort | Fu, Peng |
collection | PubMed |
description | BACKGROUND: The aim of this study was to explore the value of NeuroGam software in diagnosis of epilepsy by (99)Tc(m)-ethyl cysteinate dimer (ECD) brain imaging. MATERIAL/METHODS: NeuroGam was used to analyze 52 cases of clinically proven epilepsy by (99)Tc(m)-ECD brain imaging. The results were compared with EEG and MRI, and the positive rates and localization to epileptic foci were analyzed. RESULTS: NeuroGam analysis showed that 42 of 52 epilepsy cases were abnormal. (99)Tc(m)-ECD brain imaging revealed a positive rate of 80.8% (42/52), with 36 out of 42 patients (85.7%) clearly showing an abnormal area. Both were higher than that of brain perfusion SPECT, with a consistency of 64.5% (34/52) using these 2 methods. Decreased regional cerebral blood flow (rCBF) was observed in frontal (18), temporal (20), and parietal lobes (2). Decreased rCBF was seen in frontal and temporal lobes in 4 out of 36 patients, and in temporal and parietal lobes of 2 out of 36 patients. NeuroGam further showed that the abnormal area was located in a different functional area of the brain. EEG abnormalities were detected in 29 out of 52 patients (55.8%) with 16 cases (55.2%) clearly showing an abnormal area. MRI abnormalities were detected in 17 out of 43 cases (39.5%), including 9 cases (52.9%) clearly showing an abnormal area. The consistency of NeuroGam software analysis, and EEG and MRI were 48.1% (25/52) and 34.9% (15/43), respectively. CONCLUSIONS: NeuroGam software analysis offers a higher sensitivity in detecting epilepsy than EEG or MRI. It is a powerful tool in (99)Tc(m)-ECD brain imaging. |
format | Online Article Text |
id | pubmed-4581683 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | International Scientific Literature, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-45816832015-10-06 NeuroGam Software Analysis in Epilepsy Diagnosis Using (99m)Tc-ECD Brain Perfusion SPECT Imaging Fu, Peng Zhang, Fang Gao, Jianqing Jing, Jianmin Pan, Liping Li, Dongxue Wei, Lingge Med Sci Monit Medical Technology BACKGROUND: The aim of this study was to explore the value of NeuroGam software in diagnosis of epilepsy by (99)Tc(m)-ethyl cysteinate dimer (ECD) brain imaging. MATERIAL/METHODS: NeuroGam was used to analyze 52 cases of clinically proven epilepsy by (99)Tc(m)-ECD brain imaging. The results were compared with EEG and MRI, and the positive rates and localization to epileptic foci were analyzed. RESULTS: NeuroGam analysis showed that 42 of 52 epilepsy cases were abnormal. (99)Tc(m)-ECD brain imaging revealed a positive rate of 80.8% (42/52), with 36 out of 42 patients (85.7%) clearly showing an abnormal area. Both were higher than that of brain perfusion SPECT, with a consistency of 64.5% (34/52) using these 2 methods. Decreased regional cerebral blood flow (rCBF) was observed in frontal (18), temporal (20), and parietal lobes (2). Decreased rCBF was seen in frontal and temporal lobes in 4 out of 36 patients, and in temporal and parietal lobes of 2 out of 36 patients. NeuroGam further showed that the abnormal area was located in a different functional area of the brain. EEG abnormalities were detected in 29 out of 52 patients (55.8%) with 16 cases (55.2%) clearly showing an abnormal area. MRI abnormalities were detected in 17 out of 43 cases (39.5%), including 9 cases (52.9%) clearly showing an abnormal area. The consistency of NeuroGam software analysis, and EEG and MRI were 48.1% (25/52) and 34.9% (15/43), respectively. CONCLUSIONS: NeuroGam software analysis offers a higher sensitivity in detecting epilepsy than EEG or MRI. It is a powerful tool in (99)Tc(m)-ECD brain imaging. International Scientific Literature, Inc. 2015-09-20 /pmc/articles/PMC4581683/ /pubmed/26386662 http://dx.doi.org/10.12659/MSM.894566 Text en © Med Sci Monit, 2015 This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License |
spellingShingle | Medical Technology Fu, Peng Zhang, Fang Gao, Jianqing Jing, Jianmin Pan, Liping Li, Dongxue Wei, Lingge NeuroGam Software Analysis in Epilepsy Diagnosis Using (99m)Tc-ECD Brain Perfusion SPECT Imaging |
title | NeuroGam Software Analysis in Epilepsy Diagnosis Using (99m)Tc-ECD Brain Perfusion SPECT Imaging |
title_full | NeuroGam Software Analysis in Epilepsy Diagnosis Using (99m)Tc-ECD Brain Perfusion SPECT Imaging |
title_fullStr | NeuroGam Software Analysis in Epilepsy Diagnosis Using (99m)Tc-ECD Brain Perfusion SPECT Imaging |
title_full_unstemmed | NeuroGam Software Analysis in Epilepsy Diagnosis Using (99m)Tc-ECD Brain Perfusion SPECT Imaging |
title_short | NeuroGam Software Analysis in Epilepsy Diagnosis Using (99m)Tc-ECD Brain Perfusion SPECT Imaging |
title_sort | neurogam software analysis in epilepsy diagnosis using (99m)tc-ecd brain perfusion spect imaging |
topic | Medical Technology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4581683/ https://www.ncbi.nlm.nih.gov/pubmed/26386662 http://dx.doi.org/10.12659/MSM.894566 |
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