scholarly journals MRI estimates of brain iron concentration in normal aging using quantitative susceptibility mapping

NeuroImage ◽  
2012 ◽  
Vol 59 (3) ◽  
pp. 2625-2635 ◽  
Author(s):  
Berkin Bilgic ◽  
Adolf Pfefferbaum ◽  
Torsten Rohlfing ◽  
Edith V. Sullivan ◽  
Elfar Adalsteinsson
2015 ◽  
Vol 34 (1) ◽  
pp. 339-353 ◽  
Author(s):  
Clare B. Poynton ◽  
Mark Jenkinson ◽  
Elfar Adalsteinsson ◽  
Edith V. Sullivan ◽  
Adolf Pfefferbaum ◽  
...  

NeuroImage ◽  
2009 ◽  
Vol 47 (2) ◽  
pp. 493-500 ◽  
Author(s):  
Adolf Pfefferbaum ◽  
Elfar Adalsteinsson ◽  
Torsten Rohlfing ◽  
Edith V. Sullivan

Blood ◽  
2018 ◽  
Vol 132 (15) ◽  
pp. 1618-1621 ◽  
Author(s):  
Xin Miao ◽  
Soyoung Choi ◽  
Benita Tamrazi ◽  
Yaqiong Chai ◽  
Chau Vu ◽  
...  

2018 ◽  
Author(s):  
Phillip G. D. Ward ◽  
Ian H Harding ◽  
Thomas G. Close ◽  
Louise A Corben ◽  
Martin B Delatycki ◽  
...  

AbstractBackgroundFriedreich ataxia is a recessively inherited, progressive neurological disease characterised by impaired mitochondrial iron metabolism. The dentate nuclei of the cerebellum are characteristic sites of neurodegeneration in the disease, but little is known of the longitudinal progression of pathology in these structures.MethodsUsing in vivo magnetic resonance imaging, including quantitative susceptibility mapping, we investigated changes in iron concentration and volume in the dentate nuclei in individuals with Friedreich ataxia (n=20) and healthy controls (n=18) over a two-year period.ResultsThe longitudinal rate of iron concentration was significantly elevated bilaterally in participants with Friedreich ataxia relative to healthy controls. Atrophy rates did not differ significantly between groups. Change in iron concentration and atrophy both correlated with baseline disease severity or duration, indicating sensitivity of these measures to disease stage. Moreover, atrophy was maximal in individuals early in the disease course, while the rate of iron concentration increased with disease progression.ConclusionsProgressive dentate nuclei pathology is evident in vivo in Friedreich ataxia, and the rates of change of iron concentration and atrophy in these structures are sensitive to the disease stage. The findings are consistent with an increased rate of iron concentration and atrophy early in the disease, followed by iron accumulation and stable volume in later stages. This pattern suggests that iron dysregulation persists after loss of the vulnerable neurons in the dentate. The significant changes observed over a two-year period highlights the utility of quantitative susceptibility mapping as a longitudinal biomarker and staging tool.


Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Muhammad E Haque ◽  
Refaat E Gabr ◽  
Xiurong Zhao ◽  
Khader M Hasan ◽  
Ponnada A Narayana ◽  
...  

Objective: To serially quantify changes of iron concentration within hematomas in the intracerebral hemorrhage (ICH) pig model using non-invasive R2* and quantitative susceptibility mapping (QSM) MRI methods. Introduction: Hemolysis-related release of hemoglobin/heme/free iron after ICH causes cytotoxic injury. An accurate post hemorrhage assessment of iron would be valuable to develop strategies to prevent secondary damage. The T2* relaxation rate (R2* =1/T2*) on MRI depends on the regional oxy- versus deoxyhemoglobin. Post-ICH excess of deoxyhemoglobin has been applied as a quantitative marker to estimate iron in the brain. However, quantitative susceptibility mapping (QSM) is a new MRI technique that can quantify iron concentration within the hematoma by measuring induced magnetic susceptibility. Using R2* mapping and QSM in a large animal ICH model, we measured spatiotemporal changes in iron concentration in the brain. Methods: Lobar ICH was induced by infusion of 2.5 ml autologous blood in 8 Yorkshire pigs with average age/wt of 4-6wk/12.5±2.5kg. MRI was obtained at days 1 and 7. A 3D anatomical and multi-echo gradient echo images were obtained on a clinical 3.0 T Philips Ingenia MRI system. Parametric R2* and susceptibility maps were generated. Regions of interest were placed within hematoma and contralesional CSF. Results: R2* measurements in the hematoma at day 1 and day 7 were 41.3 ± 7.3 and 37.7 ± 7.7 s -1 , respectively, whereas the corresponding susceptibility measurements were 0.75± 0.3 and 0.70 ± 0.5 ppm. The CSF R2* were 5.53 ± 2.1 and 6.85 ± 2.4 s -1 , whereas susceptibility showed 0.06 ± 0.16 and 0.02 ± 0.03 ppm at the two time points. Both R2* and QSM showed no significant change in iron concentration within the hematoma ROI with p-value of 0.18 and 0.72 over a week. Absence of hyperintense regions remote from the hematoma in susceptibility maps suggested lack of diffuse iron deposition. Good correlation was observed between R2* and QSM (correlation coefficient 0.83 and 0.78 within hematoma, and -0.66 and -0.07 within CSF, at day 1 and 7, respectively). Conclusion: R2* and especially QSM, with their ability to provide quantitative iron content, are valuable tools to test new ICH treatments particularly targeting iron in this large animal model.


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