A Novel method of seizure onset zone localization by serial Tc-99 m ECD brain perfusion SPECT clearance patterns.
Brain Imaging Behav
; 16(4): 1646-1656, 2022 Aug.
Article
in En
| MEDLINE
| ID: mdl-35199278
In this prospective study, we postulate that there is a difference between clearance of [99mTc]Tc- ethyl cysteinate dimer (ECD) in the seizure onset zone (SOZ) and other brain areas and thus SOZ localization by clearance patterns might become a potential novel method for SOZ localization in epilepsy. The parametric images of brain ECD clearance were generated by linear regression model analysis from serial brain SPECT scans from 30 to 240 min after ECD injection (7-times point) in 7 patients with drug-resistant epilepsy and 3 normal volunteers. Clearance patterns of the SOZ confirmed by good surgical outcome or consensus with other investigations were analyzed quantitatively and semi-quantitatively by visual grading (slower or faster washout than contralateral brain regions). The average [99mTc]Tc-ECD clearance rates of SOZs were + 1.08% ± 2.57%/hr (wash in), -7.02% ± 2.56%/hr (washout), and -5.37% ± 1.71%/hr (washout) in ictal, aura and interictal states, respectively. Paired t-tests between the SOZ and contralateral regions showed statistically significant difference (p = 0.039 in interictal state). Clearance patterns that can define the SOZs were 1) wash in and slow washout on ictal slope, 2) fast washout on aura slope and interictal slope with 100% (6/6), 100% (2/2) and 75% (6/8) localization using ictal, aura, and interictal slope maps, respectively. Our study provided the evidence that clearance pattern methods are potential additive diagnostic tools for SOZ localization when routine one-time point SPECT are unable to define the SOZ.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Electroencephalography
/
Epilepsy
Type of study:
Diagnostic_studies
/
Observational_studies
/
Prognostic_studies
Limits:
Humans
Language:
En
Journal:
Brain Imaging Behav
Journal subject:
CEREBRO
/
CIENCIAS DO COMPORTAMENTO
/
DIAGNOSTICO POR IMAGEM
Year:
2022
Document type:
Article
Affiliation country:
Country of publication: