Texture parameters of r2* maps are correlated ...
Type de document :
Article dans une revue scientifique: Article original
PMID :
URL permanente :
Titre :
Texture parameters of r2* maps are correlated with iron concentration and red blood cells count in clot analogs: a 7t micro-mri study
Auteur(s) :
Bretzner, Martin [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Lopes, Renaud [Auteur]
Troubles cognitifs dégénératifs et vasculaires - U1171
Mccarthy, Ray [Auteur]
Corseaux, Delphine [Auteur]
Récepteurs nucléaires, Maladies Cardiovasculaires et Diabète (EGID) - U1011
Auger, Florent [Auteur]
Troubles cognitifs dégénératifs et vasculaires - U1171
Gunning, Gillian [Auteur]
Beauval, Nicolas [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Bongiovanni, Antonino [Auteur]
Plateforme BioImaging Center Lille - PLBS [BICeL]
Tardivel, Meryem [Auteur]
Plateforme BioImaging Center Lille - PLBS [BICeL]
Cordonnier, Charlotte [Auteur]
Troubles cognitifs dégénératifs et vasculaires - U1171
Pruvo, Jean-Pierre [Auteur]
Troubles cognitifs dégénératifs et vasculaires - U1171
Susen, Sophie [Auteur]
Récepteurs nucléaires, Maladies Cardiovasculaires et Diabète (EGID) - U1011
Leclerc, Xavier [Auteur]
Troubles cognitifs dégénératifs et vasculaires - U1171
Kuchcinski, Gregory [Auteur]
Troubles cognitifs dégénératifs et vasculaires - U1171
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Lopes, Renaud [Auteur]
Troubles cognitifs dégénératifs et vasculaires - U1171
Mccarthy, Ray [Auteur]
Corseaux, Delphine [Auteur]
Récepteurs nucléaires, Maladies Cardiovasculaires et Diabète (EGID) - U1011
Auger, Florent [Auteur]
Troubles cognitifs dégénératifs et vasculaires - U1171
Gunning, Gillian [Auteur]
Beauval, Nicolas [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Bongiovanni, Antonino [Auteur]
Plateforme BioImaging Center Lille - PLBS [BICeL]
Tardivel, Meryem [Auteur]
Plateforme BioImaging Center Lille - PLBS [BICeL]
Cordonnier, Charlotte [Auteur]
Troubles cognitifs dégénératifs et vasculaires - U1171
Pruvo, Jean-Pierre [Auteur]
Troubles cognitifs dégénératifs et vasculaires - U1171
Susen, Sophie [Auteur]
Récepteurs nucléaires, Maladies Cardiovasculaires et Diabète (EGID) - U1011
Leclerc, Xavier [Auteur]
Troubles cognitifs dégénératifs et vasculaires - U1171
Kuchcinski, Gregory [Auteur]
Troubles cognitifs dégénératifs et vasculaires - U1171
Titre de la revue :
Journal of neuroradiology. Journal de neuroradiologie
Nom court de la revue :
J Neuroradiol
Numéro :
47
Pagination :
306-311
Éditeur :
Elsevier
Date de publication :
2019-11-11
ISSN :
0150-9861
Mot(s)-clé(s) :
Texture analysis
Clot
Relaxometry
Stroke
MRI
Clot
Relaxometry
Stroke
MRI
Discipline(s) HAL :
Sciences du Vivant [q-bio]
Résumé en anglais : [en]
OBJECTIVE: Previous studies have suggested that mechanical revascularization in acute ischemic stroke (AIS) patients could be affected by clot histology. In this 7-T micro-MRI study, we used R2* relaxometry of clot analogs ...
Lire la suite >OBJECTIVE: Previous studies have suggested that mechanical revascularization in acute ischemic stroke (AIS) patients could be affected by clot histology. In this 7-T micro-MRI study, we used R2* relaxometry of clot analogs to evaluate the relationship between texture parameters of R2* maps and clot constituents. METHODS: Twelve AIS clot analogs were experimentally generated to obtain a wide range of red blood cell concentrations. All clots underwent a MR acquisition using a 7-T micro-MR system. A 3D multi-echo gradient-echo sequence was performed and R2* maps were generated. First order and second order statistics of R2* histograms within the clots were calculated. Iron concentration in clots was measured using absorption spectrometry and red blood cell count (RBC) was obtained by histopathological analysis. RESULTS: RBC count was strongly correlated with iron concentration within clots (r=0.87, P<.001). Higher RBC count and iron concentration were significantly correlated with first order parameters including: (a) global positive shift of the R2* histogram with higher '10th percentile', 'median', 'mean' and '90th percentile'; (b) increase of the global magnitude of voxel values with higher 'total energy' and 'root mean squared'; (c) greater uniformity of the voxel values with higher 'uniformity' and lower 'entropy'. Second order statistical parameters confirmed that higher RBC count and iron concentration correlated with (a) greater concentration of high gray-level values in the image; (b) more "coarse" texture of R2* maps. CONCLUSIONS: Texture analysis of MRI-R2* maps can accurately estimate the red blood cell count and iron content of AIS clot analogs.Lire moins >
Lire la suite >OBJECTIVE: Previous studies have suggested that mechanical revascularization in acute ischemic stroke (AIS) patients could be affected by clot histology. In this 7-T micro-MRI study, we used R2* relaxometry of clot analogs to evaluate the relationship between texture parameters of R2* maps and clot constituents. METHODS: Twelve AIS clot analogs were experimentally generated to obtain a wide range of red blood cell concentrations. All clots underwent a MR acquisition using a 7-T micro-MR system. A 3D multi-echo gradient-echo sequence was performed and R2* maps were generated. First order and second order statistics of R2* histograms within the clots were calculated. Iron concentration in clots was measured using absorption spectrometry and red blood cell count (RBC) was obtained by histopathological analysis. RESULTS: RBC count was strongly correlated with iron concentration within clots (r=0.87, P<.001). Higher RBC count and iron concentration were significantly correlated with first order parameters including: (a) global positive shift of the R2* histogram with higher '10th percentile', 'median', 'mean' and '90th percentile'; (b) increase of the global magnitude of voxel values with higher 'total energy' and 'root mean squared'; (c) greater uniformity of the voxel values with higher 'uniformity' and lower 'entropy'. Second order statistical parameters confirmed that higher RBC count and iron concentration correlated with (a) greater concentration of high gray-level values in the image; (b) more "coarse" texture of R2* maps. CONCLUSIONS: Texture analysis of MRI-R2* maps can accurately estimate the red blood cell count and iron content of AIS clot analogs.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
CHU Lille
Inserm
Institut Pasteur de Lille
Université de Lille
Inserm
Institut Pasteur de Lille
Université de Lille
Collections :
Équipe(s) de recherche :
Troubles cognitifs dégénératifs et vasculaires
Date de dépôt :
2022-02-02T10:24:35Z
2024-03-13T11:14:54Z
2024-03-13T11:14:54Z