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NeuroGam Software Analysis in Epilepsy Diagnosis Using 99mTc-ECD Brain Perfusion SPECT Imaging.

Fu P, Zhang F, Gao J, Jing J, Pan L, Li D, Wei L - Med. Sci. Monit. (2015)

Bottom Line: The results were compared with EEG and MRI, and the positive rates and localization to epileptic foci were analyzed.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.

View Article: PubMed Central - PubMed

Affiliation: Department of Nuclear Medicine, 3rd Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).

ABSTRACT
BACKGROUND The aim of this study was to explore the value of NeuroGam software in diagnosis of epilepsy by 99Tcm-ethyl cysteinate dimer (ECD) brain imaging. MATERIAL AND METHODS NeuroGam was used to analyze 52 cases of clinically proven epilepsy by 99Tcm-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. 99Tcm-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 99Tcm-ECD brain imaging.

No MeSH data available.


Related in: MedlinePlus

Typical images of perfusion defects in a 43-year-old female patient with epilepsy. NeuroGam software analysis revealed areas of decreased rCBF in the left frontal lobe (Br 44) and bilateral temporal lobe (Br 38).
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f1-medscimonit-21-2801: Typical images of perfusion defects in a 43-year-old female patient with epilepsy. NeuroGam software analysis revealed areas of decreased rCBF in the left frontal lobe (Br 44) and bilateral temporal lobe (Br 38).

Mentions: A 43-year-old female patient suffered loss of consciousness, with limb spasm persisting for more than 15 years. The symptoms of epilepsy seizure presented up to 12 times daily, and antiepileptic drugs caused no significant improvement. EEG waves were in the normal physiological range and no abnormal waves were detected. No abnormalities were seen in MRI. Decreased perfusion was observed in the left frontal lobe by 99Tcm-ECD brain perfusion imaging. The NeuroGam software analysis revealed the decrease areas of rCBF in the left frontal lobe (Br 44) and bilateral temporal lobe (Br 38). A semi-quantitative analysis of the areas with decreased rCBF, which was compared with the regional database by z-score, revealed a decrease of 2.7 standard deviations in the left frontal lobe (Br 44) and a decrease of 1.9 and 1.3 standard deviations in bilateral temporal lobe (Br 38) (Figures 1, 2).


NeuroGam Software Analysis in Epilepsy Diagnosis Using 99mTc-ECD Brain Perfusion SPECT Imaging.

Fu P, Zhang F, Gao J, Jing J, Pan L, Li D, Wei L - Med. Sci. Monit. (2015)

Typical images of perfusion defects in a 43-year-old female patient with epilepsy. NeuroGam software analysis revealed areas of decreased rCBF in the left frontal lobe (Br 44) and bilateral temporal lobe (Br 38).
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4581683&req=5

f1-medscimonit-21-2801: Typical images of perfusion defects in a 43-year-old female patient with epilepsy. NeuroGam software analysis revealed areas of decreased rCBF in the left frontal lobe (Br 44) and bilateral temporal lobe (Br 38).
Mentions: A 43-year-old female patient suffered loss of consciousness, with limb spasm persisting for more than 15 years. The symptoms of epilepsy seizure presented up to 12 times daily, and antiepileptic drugs caused no significant improvement. EEG waves were in the normal physiological range and no abnormal waves were detected. No abnormalities were seen in MRI. Decreased perfusion was observed in the left frontal lobe by 99Tcm-ECD brain perfusion imaging. The NeuroGam software analysis revealed the decrease areas of rCBF in the left frontal lobe (Br 44) and bilateral temporal lobe (Br 38). A semi-quantitative analysis of the areas with decreased rCBF, which was compared with the regional database by z-score, revealed a decrease of 2.7 standard deviations in the left frontal lobe (Br 44) and a decrease of 1.9 and 1.3 standard deviations in bilateral temporal lobe (Br 38) (Figures 1, 2).

Bottom Line: The results were compared with EEG and MRI, and the positive rates and localization to epileptic foci were analyzed.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.

View Article: PubMed Central - PubMed

Affiliation: Department of Nuclear Medicine, 3rd Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).

ABSTRACT
BACKGROUND The aim of this study was to explore the value of NeuroGam software in diagnosis of epilepsy by 99Tcm-ethyl cysteinate dimer (ECD) brain imaging. MATERIAL AND METHODS NeuroGam was used to analyze 52 cases of clinically proven epilepsy by 99Tcm-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. 99Tcm-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 99Tcm-ECD brain imaging.

No MeSH data available.


Related in: MedlinePlus