Xiaonan Wang1, Tongtong Sun1, Jinxia Zhu2, Stephan Kannengiesser3, and Hongyan Ni4
1Tianjin Medical University, Tianjin, China, 2Siemens Healthineers Ltd., Beijing, China, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Tianjin First Central Hospital, Tianjin, China
Synopsis
We used R2* mapping to assess iron overload in multiple
organs of patients with transfusion-dependent diseases and related the R2* values to transfusion
volumes and serum ferritin (SF) levels. The organs assessed included the liver,
spleen, pancreas, vertebral bone marrow, and myocardium. The results showed a
correlation between the R2* values of multiple organs and between the R2* values
of some organs and transfusion volumes. This study revealed differences in the distribution
of iron overload in various organs and suggested that transfusion volumes could
be used to predict the degree of liver iron overload in patients with
transfusion-dependent diseases.
Introduction
Long-term transfusion could lead to transfusion-related multi-organ
hemosiderosis, a cytotoxic condition that can lead to organ-specific
complications. Furthermore, the dynamic process of iron absorption and
clearance differs among various iron-sensitive organs 1. The early
stages of iron overload do little harm to patients and are often ignored;
however, iron deposition is an ongoing process due to the lack of an iron
excretion mechanism 2. Therefore, the early assessment of
multi-organ iron overload is essential for the proper treatment of these cases.
The purpose of this study was to use R2* mapping to
quantitatively measure iron deposition in the liver,
spleen, pancreas, vertebral bone marrow, and myocardium of patients with
transfusion-dependent diseases,
and to explore the deposition characteristics in multiple organs. We studied
the relationship of iron overload in these organs with red
blood cell (RBC) transfusion volumes and serum ferritin (SF) levels.Methods
Seventy-four patients with transfusion-dependent diseases (median
age, 48 years [range 19-87], 40 males) and 21 healthy controls (HCs) (median age,
41 years [range 22-65], 8 females) were enrolled and subjected to MRI
examinations using a 3T system (MAGNETOM Prisma, Siemens Healthcare, Erlangen,
Germany) with an 18-channel body coil in combination of a 32-channel spin coil.
R2* data for the abdomen were acquired using a prototypic 3D 6-echo DIXON VIBE sequence
with breath-holding. Relevant parameters were as follows: repetition time (TR)=9.00
ms, echo time (TE)=1.07 / 2.86 / 4.65 / 6.44 / 8.23 / 10.02 ms, field of view
(FOV)=400*350 mm2, matrix=111 x 160, bandwidth=1060 Hz/Px, flip
angle=4°, slices=64, slice thickness=3.5 mm, and acquisition time=13 s. Cardiac
R2* mapping was acquired using an 8-echo gradient echo (GRE) sequence with
electrocardiogram (ECG) gating and breath-holding. The relevant parameters were
as follows: TR=910.4 ms, TE=1.62 / 3.95 / 6.18 / 8.41 / 10.64 / 12.87 / 15.1 /
17.33 ms, FOV=360*270 mm2, flip angle=18°, bandwidth=1149 Hz/Px, and
acquisition time=12 s.
All the R2* maps were generated inline after data
acquisition.
R2* values of the liver, pancreas, spleen, bone marrow, and
myocardium were measured, along with RBC transfusion volumes and SF levels. Representative
images of patients with hemosiderosis are shown in Fig 1.
At 3 T, values of cardiac R2* >79 sec-1 were considered cardiac iron overload 3. Liver iron
overload was defined as mild, moderate, and severe when R2* values were 120-435,
436-952, and >952 sec-1, respectively 3. Mean R2*
values of the HCs plus two standard deviations (+ 2 SD) were employed as cutoff
points for the other organs. R2* values of non-liver organs among patients with
different liver iron overload levels were compared with reference values. Spearman
correlation analysis was used to assess correlations between the R2* values of
each organ and RBC transfusion volumes and SF levels.Results
Of the 74 patients, 26(35.1%), 22(29.7%), and 14(18.9%)
had mild, moderate, and severe liver iron overload, respectively. The mean R2*
values for spleen, bone marrow and pancreas in HCs were (25.67±9.2), (115.7±9.07)
and (29.03±11.24), respectively. The median of R2* values of spleen and bone
marrow were increased in patients with various liver iron overload levels;
abnormally elevated pancreatic R2* values were observed in the patients with
moderate liver iron overload, and abnormally elevated myocardial R2* values
were observed in patients with severe liver iron overload. (Figure 2). Overall,
hepatic R2* values correlated moderately with splenic R2* values (r=0.49) and
moderately with the values for bone marrow (r=0.58) and pancreas (r=0.51), but
not with those for the myocardium. Bone marrow R2* values correlated weakly
with splenic R2* values (r=0.32). Pancreatic R2* values correlated weakly with
myocardial R2* values (r = 0.29). A very strong
correlation was noted between hepatic R2* and total RBC transfusion volumes
(r=0.90). A correlation between total RBC transfusion volume
and other metrics of iron burden were also seen, including splenic R2*, marrow
R2*, pancreatic R2*, cardiac R2*, and SF (r=0.43, 0.51, 0.62, 0.45, and 0.26,
respectively) (Figure 3). SF levels correlated with liver R2* values (r=0.29) but
not with those of any other organ. The RBC transfusion volumes for predicting mild,
moderate, and severe liver iron deposition were 18, 34, and 60 U
(respectively), with area under the curve (AUC) values of 0.822, 0.924, and
0.935.Discussion & Conclusions
Bone marrow and spleen iron deposition were seen early after
transfusion. As iron deposition develops in the liver, iron overload develops
in the pancreas and myocardium. Significant correlations were found between
iron overload levels in the liver, bone marrow, and spleen, as expressed by
respective R2* values. These results revealed the characteristics of
iron distribution in patients with transfusion-dependent diseases. Furthermore,
RBC transfusion volumes correlated with iron deposition in multiple organs, especially
in the liver. Transfusion volumes could replace R2* values for predicting
liver iron overload in patients with transfusion-dependent diseases.Acknowledgements
This study was supported by the Tianjin Research Innovation
Project for Postgraduate Students (15KG134).References
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