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[Fast spin echo and fast fluid attenuated inversion recovery sequences in multiple sclerosis]

A Paolillo1, E Giugni, A Bozzao

  • 1Dipartimento di Scienze Neurologiche, Università, La Sapienza, Roma.

Insights

Fast fluid attenuated inversion recovery (fast-FLAIR) MRI sequences offer improved lesion detection and reduced quantitation time in multiple sclerosis (MS) studies compared to conventional spin echo (CSE). While FSE sequences detected fewer lesions, fast-FLAIR demonstrated better identification of cortical lesions and higher contrast.

Area of Science:

  • Radiology and Imaging
  • Neurology
  • Medical Physics

Background:

  • Accurate quantitation of multiple sclerosis (MS) lesion burden is crucial for disease monitoring and treatment efficacy.
  • Conventional spin echo (CSE) MRI sequences are established but may have limitations in lesion detection and quantitation efficiency.
  • Fast spin echo (FSE) and fast fluid attenuated inversion recovery (fast-FLAIR) are advanced MRI techniques offering potential improvements.

Purpose of the Study:

  • To compare the efficacy of FSE and fast-FLAIR sequences against CSE in quantifying MS lesion burden.
  • To evaluate interobserver variability, time efficiency, and lesion signal intensity across different MRI sequences.
  • To assess the performance of these sequences in detecting lesions across various brain regions (infratentorial, white matter, cortical/subcortical).

Main Methods:

  • A semiautomated lesion detection program was used to calculate the number and volume of MS lesions on CSE, FSE, and fast-FLAIR images from 38 remitting MS patients.
  • Two expert observers independently analyzed the images, with interobserver differences, quantitation time, and lesion signal intensity (contrast-to-noise ratio) recorded.
  • Lesions were classified by location: infratentorial, white matter, and cortical/subcortical.

Main Results:

  • CSE identified 2970 lesions totaling 961.7 cm³. FSE detected significantly fewer (16.6%) and smaller (24.9%) lesions compared to CSE.
  • Fast-FLAIR showed a nonsignificant overall reduction in lesion number (0.5%) and volume (4.8%) but significantly detected fewer infratentorial lesions while identifying more cortical/subcortical lesions.
  • Fast-FLAIR demonstrated superior lesion-to-white matter contrast, significantly reduced quantitation time, and minimal interobserver variability.

Conclusions:

  • Fast-FLAIR sequences are recommended for MS studies due to their ability to identify cortical/subcortical lesions, high contrast-to-noise ratio, and efficient semiautomated quantitation.
  • Despite limitations with infratentorial lesions, fast-FLAIR offers advantages in lesion detection and analysis speed over CSE and FSE.
  • The high interobserver agreement and time savings make fast-FLAIR a valuable tool for MS lesion burden assessment.

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