Literature DB >> 29051996

Diffusion-Weighted MRI Stroke Volume Following Recanalization Treatment is Threshold-Dependent.

Rani Gupta Sah1,2,3, Christopher D d'Esterre1,2,3,4, Michael D Hill1,2,4, Moiz Hafeez1,2, Sana Tariq2,4, Nils D Forkert3,4, Andrew M Demchuk1,2,4, Mayank Goyal1,2,3,4, Philip A Barber5,6,7,8.   

Abstract

PURPOSE: Infarct lesion segmentation has been problematic as there are a wide range of relative and absolute diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) thresholds that have been used for this purpose. We examined differences of stroke lesion volume and evolution evaluated by magnetic resonance imaging (MRI) during the immediate post-treatment phase (<5 h) and at 24 h.
METHODS: In this study 33 acute ischemic stroke patients were imaged with MRI <5 h and 24 h post-reperfusion treatment. Lesion volumes were segmented on ADC maps and average DWI using literature cited absolute ADC and relative DWI thresholds. The segmented lesion volumes within both time points were compared and the absolute change in lesion volume (infarct growth) between the two time points was calculated and compared using Bland-Altman analysis.
RESULTS: Lesion volumes differed significantly when different relative DWI or absolute ADC thresholds were used (p < 0.05), which held true for baseline as well as follow-up lesions. The median absolute changes in lesion volume from baseline to follow-up for ADC thresholds of 550 × 10-6 mm2/s, 600 × 10-6 mm2/s, 630 × 10-6 mm2/s and 650 × 10-6 mm2/s were 3.5 ml, 4.2 ml, 4.5 ml, and 6.5 ml, respectively (p < 0.05). Likewise, the median absolute changes in lesion volume from baseline to follow-up for DWI thresholds, k = 0.85, 1.28, 1.64, 1.96, and 2.7 were 10.1 ml, 7.3 ml, 5.7 ml, 5.4 ml and 4.2 ml, respectively (p < 0.05).
CONCLUSION: Absolute lesion volumes and changes in lesion volumes (infarct growth) measured after recanalization treatment were dependent on absolute ADC and relative DWI thresholds, which may have clinical significance. Standardization of techniques for measuring DWI lesion volumes requires immediate attention.

Entities:  

Keywords:  Diffusion weighted magnetic resonance imaging; Infarction; Ischemic; Reperfusion

Mesh:

Year:  2017        PMID: 29051996     DOI: 10.1007/s00062-017-0634-4

Source DB:  PubMed          Journal:  Clin Neuroradiol        ISSN: 1869-1439            Impact factor:   3.649


  5 in total

Review 1.  Imaging After Thrombolysis and Thrombectomy: Rationale, Modalities and Management Implications.

Authors:  Felix C Ng; Bruce C V Campbell
Journal:  Curr Neurol Neurosci Rep       Date:  2019-07-06       Impact factor: 5.081

2.  Dynamic CTA-Derived Perfusion Maps Predict Final Infarct Volume: The Simple Perfusion Reconstruction Algorithm.

Authors:  C C McDougall; L Chan; S Sachan; J Guo; R G Sah; B K Menon; A M Demchuk; M D Hill; N D Forkert; C D d'Esterre; P A Barber
Journal:  AJNR Am J Neuroradiol       Date:  2020-10-01       Impact factor: 3.825

3.  Defining reperfusion post endovascular therapy in ischemic stroke using MR-dynamic contrast enhanced perfusion.

Authors:  Christopher D d'Esterre; Rani Gupta Sah; Zarina Assis; Aron S Talai; Andrew M Demchuk; Michael D Hill; Mayank Goyal; Ting-Yim Lee; Nils D Forkert; Philip A Barber
Journal:  Br J Radiol       Date:  2020-09-17       Impact factor: 3.039

4.  Dynamics of Water Diffusion Changes in Different Tissue Compartments From Acute to Chronic Stroke-A Serial Diffusion Tensor Imaging Study.

Authors:  Anna Christina Alegiani; Simon MacLean; Hanna Braass; Susanne Gellißen; Tae-Hee Cho; Laurent Derex; Marc Hermier; Yves Berthezene; Norbert Nighoghossian; Christian Gerloff; Jens Fiehler; Götz Thomalla
Journal:  Front Neurol       Date:  2019-02-26       Impact factor: 4.003

5.  Localized prediction of tissue outcome in acute ischemic stroke patients using diffusion- and perfusion-weighted MRI datasets.

Authors:  Malte Grosser; Susanne Gellißen; Patrick Borchert; Jan Sedlacik; Jawed Nawabi; Jens Fiehler; Nils D Forkert
Journal:  PLoS One       Date:  2020-11-05       Impact factor: 3.240

  5 in total

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