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Extended perfusion protocol for MS lesion quantification. | LitMetric

Extended perfusion protocol for MS lesion quantification.

Open Med (Wars)

Foundation for Research and Technology - Hellas, Institute of Computer Science, Computational Bio-Medicine Laboratory, N. Plastira 100, Vassilika Vouton, GR-700 13 Heraklion, Crete, Greece.

Published: June 2020

AI Article Synopsis

  • - This study explores a new MRI technique called Snaps, designed to improve the detection of subtle blood-brain barrier (BBB) disruptions in multiple sclerosis (MS) patients by extending the time of imaging without cutting into much extra time.
  • - By applying the Snaps protocol on 24 lesions from 12 MS patients, researchers found that it significantly outperformed traditional methods, identifying 49% more affected areas related to BBB disruption.
  • - The analysis indicated that the extended Tofts model offered the best accuracy in fitting data for both Snaps and conventional protocols, confirming Snaps provides more detailed information despite only a slight increase in imaging time.

Article Abstract

This study aims to examine a time-extended dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) protocol and report a comparative study with three different pharmacokinetic (PK) models, for accurate determination of subtle blood-brain barrier (BBB) disruption in patients with multiple sclerosis (MS). This time-extended DCE-MRI perfusion protocol, called Snaps, was applied on 24 active demyelinating lesions of 12 MS patients. Statistical analysis was performed for both protocols through three different PK models. The Snaps protocol achieved triple the window time of perfusion observation by extending the magnetic resonance acquisition time by less than 2 min on average for all patients. In addition, the statistical analysis in terms of adj- goodness of fit demonstrated that the Snaps protocol outperformed the conventional DCE-MRI protocol by detecting 49% more pixels on average. The exclusive pixels identified from the Snaps protocol lie in the low range, potentially reflecting areas with subtle BBB disruption. Finally, the extended Tofts model was found to have the highest fitting accuracy for both analyzed protocols. The previously proposed time-extended DCE protocol, called Snaps, provides additional temporal perfusion information at the expense of a minimal extension of the conventional DCE acquisition time.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711864PMC
http://dx.doi.org/10.1515/med-2020-0100DOI Listing

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