Texture parameters of R2* maps are correlated with iron concentration and red blood cells count in clot analogs: A 7-T micro-MRI study - 24/05/20
, Renaud Lopes a, b, Ray McCarthy c, Delphine Corseaux d, e, f, Florent Auger a, Gillian Gunning c, Nicolas Beauval i, Antonino Bongiovanni g, Meryem Tardivel g, Charlotte Cordonnier h, Jean-Pierre Pruvo a, b, Sophie Susen d, e, f, Xavier Leclerc a, b, Grégory Kuchcinski a, bBienvenue sur EM-consulte, la référence des professionnels de santé.
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| pages | 6 |
| Iconographies | 4 |
| Vidéos | 0 |
| Autres | 0 |
Résumé |
Graphical abstract |
Highlights |
• | RBC count is strongly correlated with iron concentration within clots. |
• | Texture analysis of R2* maps predict the RBC count and iron content of clot analogs. |
• | R2* maps of RBC rich clots present a more coarse texture. |
• | R2* maps of RBC poor clots present a finer texture. |
Abstract |
Background and purpose |
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.
Materials and 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.
Le texte complet de cet article est disponible en PDF.Keywords : MRI, Stroke, Clot, Texture analysis, Relaxometry
Plan
| ☆ | Previous presentation: Annual meeting of the French Society of Neuroradiology (SFNR). Date: the 27th of March 2019. Location: Paris, France. Presentation type: oral communication during a scientific session. |
Vol 47 - N° 4
P. 306-311 - juin 2020 Retour au numéro
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