Xi Deng1, Meiru Bu1, Meiqing Wu2, Wei Cui3, Long Qian3, Zisan Zeng1, and Muliang Jiang1
1Radiology Department of the First Affiliated Hospital of Guangxi Medical University, Nanning, China, 2Hematology Department of The First Affiliated Hospital of Guangxi Medical University, Nanning, China, 3MR Research, GE Healthcare, Beijing, China, Beijing, China
Synopsis
Keywords: Gray Matter, Blood, Beta-thalassemia; T2 heterogeneity;
Beta-thalassemia (β-TM) is an inherited blood disorder
with severe
anemia.
In this study, we investigated alterations of T2 heterogeneity in cortical
regions caused by β-TM using magnetic resonance imaging (MRI). Compared with
healthy controls, β-TM patients showed increased T2 heterogeneities in bilateral inferior orbitofrontal,
left calcarine, left cuneus and left superior occipital lobe, while no
decreased T2
heterogeneity was observed. Thus, we concluded that T2 heterogeneities could
reveal the β-TM-affecting T2 alterations in brain.
Introduction
Beta-thalassemia
(β-TM) is a chronic genetically haematological disorder with defective
production of hemoglobin. Although the frequent therapy of transfusions and iron
chelation can significantly prolong survival, β-TM patients still suffer from
several complications including cognitive impairment. T2 relaxometry measured
by MRI approach could be able to report tissue microstructure and relate to cognition1.
In patients with β-TM, most studies described a shortened T2 relaxometry in subcortical
regions2,
whereas others found a prolonged result3.
These opposite results imply that there are increased and decreased T2
relaxometry in different regions and averaging across the entire region could
yield different results as the predominant T2 alteration may vary across
patients. The T2 heterogeneity was proposed to measure T2 variance within
region and correlated with cognitive change in Alzheimer’s disease4.
Therefore, in this study, we employed the T2 heterogeneity to uncover the
altered T2 relaxometry in patients with β-TM.Methods
Eighteen patients
with β-TM (mean age ± standard deviation: 11.78±3.735 years; sex: 7 females and
11 males) and 8 healthy control (HC) subjects (age: 7.13±2.558 years; sex: 2
females and 6 males) were recurred from First Affiliated Hospital of Guangxi
Medical University (participants’ information was shown in Table 1). The
protocol of this study was approved by the local ethics committee. All
participants signed an informed consent form prior to participation in this
study.
MRI
data of all participants was obtained on a 3.0-T magnetic resonance scanner
(SIGNA Premier MR, GE Healthcare, WI, USA) with a 48-channel head coil. For
each subject, T1-weighted (T1w) images were acquired using the sagittal three-dimensional
fast spoiled gradient echo-based sequence with 1.00 mm isotropic resolution.
T2-mapping images were acquired using synthetic magnetic resonance imaging
(SyMRI) sequence. SyMRI is a two-dimensional multiple-dynamic multiple-echo
(MDME) sequence. The major sequence parameters included: repetition time (TR) =
10,205.0 ms; echo time (TE) =11.3 ms; flip angle (FA) = 20°; echo train length =
16; in-plane pixel size = 2.0 mm×2.0 mm; and slice thickness = 2 mm with
no gap.
The T2 relaxometry
in each cortical region was obtained as follow: the quantitative T1- and T2-
mapping (T1m and T2m) images were calculated
from the SyMRI data using the vendor-provided postprocessing software
(SyntheticMR, v11.2.2). Then, the linear transformation matrix between T1m
images and T1w images and non-linear warped images between T1w images and T1w
template images in MNI space were obtained using the Advanced Normalization
Tools (ANTs). T2m images were transformed to MNI space by applying the linear
transformation matrix and non-linear warped images. Finally, T2 relaxometry values
in each cortical region were extracted using Automated Anatomical Labeling
atlas.
For each cortical
region, T2 relaxometry data were fitted to 18 different distribution functions
using the maximum likelihood estimation in MATLAB software4.
Then, the distribution function with minimum Akaike Information Criteria value
was selected. And the midpoint and heterogeneity values were extracted based on
the selected distribution function. Finally, a general linear mode with the
group as the main factor and sex and age as covariates was conducted to analyze
difference in the midpoint and heterogeneity between the β-TM and HC groups.Results
Generalized
extreme value distribution function showed the best fitting results for the T2
distributions of all brain regions in majority participants. The location
parameter (μ) and scale parameter (σ) of the generalized extreme value distribution
function were extracted as midpoint and heterogeneity4.
Fitting examples of one β-TM patient and one healthy subject were showed in Fig.
1. The heterogeneities of two distributions were obviously different, while
the midpoints were same.
Compared with HC
subjects, increased T2 heterogeneities were showed in bilateral inferior orbitofrontal,
left calcarine, left cuneus and left superior occipital lobe. No decreased T2 heterogeneity
was found. The brain regions with different T2 heterogeneity and the
corresponding detail information were showed the Fig. 2 and Table 2
respectively. For the T2 midpoints, no significantly difference was found.Discussion
n
this study, regional T2 heterogeneities of cortical areas were evaluated in the
patients with β-TM. Compared with HC subjects, altered T2 heterogeneities were
found in some cortical regions, whereases no significant difference in T2 midpoint
was found (Table 2). This result suggested that the β-TM may cause both decreased
and increased T2 relaxometry among the voxels of these brain regions (Fig. 1),
while the midpoints of T2 relaxometry may not be affected. In β-TM, the iron deposition
is the main factor for the T2 decrease5.
And the T2 increase may be the results of cell member disruption which may lead
to the increase of water mobility. All these disruptions could induce the
cognitive decline. The altered T2 heterogeneities were found in frontal and
occipital lobes which are associated with attention and visual function. And
the disruption in of these functions were reported in β-TM patients by previous
studies6.
Thus, T2 heterogeneity has the potential to evaluate the cognitive impairment
in patients with β-TM.Conclusion
Heterogeneity can
be used to evaluated T2 alteration of cortical regions affected by β-TM.Acknowledgements
No acknowledgement found.References
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