Yu Song1, Qingwei Song1, Aibo Wang2, Ailian Liu1, Yanwei Miao1, Nan Zhang1, Haonan Zhang1, and Lizhi Xie3
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Department of Radiology, Peking University Third Hospital, Beijing, China, 3GE Healthcare, MR Research, Beijing, China
Synopsis
Diabetes is a metabolic disease
that leads to a high risk of fracture related to osteoporosis. Noninvasive and
reliable assessment of osteoporosis is essential for clinical practice. The aim of this study was to explore the
agreement of the Proton Density Fat Fraction (PDFF) values of lumbar
vertebra measured by Magnetic Resonance
Imaging (MRI) IDEAL-IQ sequences at different field strengths and to
investigate the value of IDEAL-IQ in the assessment of osteoporosis risk in diabetic.
Introduction
Osteoporosis is a progressive metabolic bone
lesion characterized by a decrease in bone mass, which in turn leads to
increased risk of bone fractures [1]. Numerous studies have reported
that osteoporosis is closely related to diabetes, chronic liver disease, kidney
disease and hyperthyroidism caused by long-term use of
steroids and anti-epileptic drugs [2]. Therefore, the noninvasive
and reliable assessment for the risk of osteoporosis is critical for clinical
diagnosis and treatment. Over recent years, different studies have
reported that precise measurement of fat content in bone marrow could be used
as a biomarker for quantifying osteoporosis [3]. MR IDEAL-IQ
technology can be used for quantitative measurement of PDFF and iron content
related parameters by multi-echo acquisition [4].
In
this study, we investigated the accuracy
and reliability of quantitative assessment of lumbar vertebral fat fraction by
IDEAL-IQ at 1.5T and 3.0T MR and its value in assessing the risk of
osteoporosis in diabetic patients Material and Methods
After providing informed consent,
36
diabetic patients were subjected to 1.5T and 3.0T MR lumbar vertebra and Dual
energy X-ray absorptiometry(DXA) scan respectively , MR scan sequences included sagittal T2WI, T1WI,
axial T1WI and IDEAL-IQ sequences. Patients were divided into normal bone
mass, osteopenia and osteoporosis group.
The
IDEAL-IQ sequence parameters are as follows: 1.5T MR:TR = 17.6ms, TE =
6ms, NEX = 4, FOV = 32 × 32cm, layer thickness = 5 mm, Phase = 192, flip angle
= 5 °, bandwidth = 125 kHz , scan time is 122s; 3.0T MR:TR=5.7ms, TE=2.8ms,
NEX=4, FOV=32×32cm, layer thickness=6mm, Phase=192, flip angle=3°,
bandwidth=125, The scan time is 78s.
The
IDEAL-IQ sequence automatically generates 6 images, including PDFF images, R2* relaxation rate images, water images,
fat images, in-phase and out-phase images. The PDFF values of vertebral bone
marrows were measured on GE ADW4.6 post processing workstation (Figure 1a-b)
:
the largest slice of the sagittal plane of the L1~L5 vertebral body (the image through the middle
of the lumbar vertebra) was selected, and the rectangular region of interest(ROI)
was manually placed to the center of the vertebral body, the ROI of each
vertebral body is the same. Each ROI should include the vertebral cancellous
bone to the maximum, but avoid the cortical bone, endplate and intervertebral
disc. Each vertebral body was averaged after 3 measurements. Bland-Altman difference plots were
used to assess bias and agreement among PDFF measurements across the two
different field strengths. Pearson correlation coefficients were calculated to
assess the linear relationship between PDFF and BMD.Results
Excellent interrater agreement
was shown between the PDFF of lumbar vertebra obtained with 1.5T and 3.0T MR (Figure 2, Table 1).
Paired
sample t-test analysis showed 1.5T & 3.0T L1 vertebral bodies(t=0.59,P=0.56),1.5T & 3.0T L2 vertebral bodies(t=-1.04,P=0.31),1.5T & 3.0T L3 vertebral bodies(t=-0.74,P=0.46),1.5T & 3.0T L4
vertebral bodies(t=-1.18,P=0.25),1.5T & 3.0T L5
vertebral bodies(t=-1.12,P=0.27). The
average PDFF values among three groups were 43.65±3.91, 49.78±6.67 and
57.85±3.84, respectively (Table 2). One-way ANOVA revealed a statistically significant difference in PDFF
between normal and osteoporosis group (Post-Hoc LSD,
P=0.013), while no significant difference was found between normal and osteopenia
group or osteopenia and osteoporosis group (Post- Hoc LSD, P=0.084; Post-Hoc,
P=0.171). Pearson correlation analysis showed that BMD was negatively
correlated with PDFF values (r=-0.88,P<0.01, Figure 3).Discussion and conclusion
Our results
demonstrated that the lumbar vertebral PDFF quantitatively measured at different field strengths showed excellent interrater
agreement and strong positive Pearson correlation. Our results showed good agreement and reproducibility of quantifying the
lumbar vertebra bone marrow fat content by using MRI IDEAL-IQ sequence at 1.5T
and 3.0T imaging.
Furthermore, in this
study, we investigated the value of IDEAL-IQ for assessing the risk of
osteoporosis in diabetic patients.
We found that the
average PDFF values in normal, osteopenia and osteoporosis
group were gradually increasing, and that the PDFF value of osteoporosis group
was significantly higher compared to normal group (P <0.05). Our data also
suggested that patients with osteopenia and osteoporosis had a higher PDFF
value compared to those in normal group. With the decrease of bone mass, the
PDFF value gradually increased; the PDFF value of lumbar vertebral measured by
MR IDEAL-IQ technology had strong negative correlation with the BMD measured by
the bone mineral density. Moreover, our data revealed that the PDFF measurement
is not affected by different MR field strengths, which suggested that the
quantitative assessment of lumbar vertebral fat content in diabetic patients by
IDEAL-IQ can be performed with devices of different MR field strength. In conclusion, IDEAL-IQ can
quantitatively evaluate the fat fraction of lumbar vertebral and evaluate the
risk of osteoporosis in diabetic patients. PDFF measurements at
MR are highly reproducible between different field strengths, which is of
guiding value for clinical diagnosis and treatment.Acknowledgements
No acknowledgement found.References
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