T2-weighted and T2 relaxometry images in patients with medial temporal lobe epilepsy

Ana Carolina Coan1, Leonardo Bonilha, Paul S Morgan

  • 1Neuroimaging Laboratory, Department of Neurology, State University of Campinas, 13083-970 Campinas, SP, Brazil.

Abstract

Insights

T2 relaxometry is more sensitive than single-echo T2 quantification for detecting hippocampal abnormalities in medial temporal lobe epilepsy (MTLE) patients, particularly in the hippocampus body and tail.

Area of Science:

  • Neuroimaging
  • Epilepsy Research
  • Magnetic Resonance Imaging (MRI)

Background:

  • Hippocampal sclerosis (HS) is a common cause of medial temporal lobe epilepsy (MTLE).
  • Increased T2-weighted MRI signal in the hippocampus is associated with HS.
  • Two methods for quantifying this signal are single-echo T2 quantification and T2 relaxometry.

Purpose of the Study:

  • To compare the sensitivity of single-echo T2 quantification and T2 relaxometry in detecting hippocampal signal abnormalities in MTLE patients.
  • To determine if these two MRI quantification techniques are equivalent for assessing HS in MTLE.

Main Methods:

  • Magnetic resonance images from 50 MTLE patients and 15 healthy subjects were analyzed.
  • Hippocampal T2 signal was quantified using both single-echo T2 MRI and T2 relaxometry within manually traced regions of interest.
  • Repeated measures ANOVA was used to compare Z-scores from both quantification methods.

Main Results:

  • A significant difference was observed between single-echo T2 quantification and T2 relaxometry (P < .001).
  • T2 relaxometry yielded significantly higher Z-scores in the hippocampus body (P = .002) and tail (P < .0001) compared to single-echo T2.
  • Significant interactions between anatomical location and measurement type were found (P = .008).

Conclusions:

  • T2 relaxometry is more sensitive than single-echo T2 quantification in detecting T2 signal abnormalities in the hippocampus body and tail of MTLE patients.
  • These findings suggest T2 relaxometry may be a more effective tool for diagnosing HS in MTLE.

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