Shuiqing Yang1, Lee Jiang2, Yingjie Mei3, Queenie Chan4, Allan Jin2, Feng Huang2, and Guihua Jiang1
1Medical Image Center, Guangdong NO.2 Provincial People's Hospital, Guangzhou, China, People's Republic of, 2Philips Healthcare (Suzhou), Suzhou, China, People's Republic of, 3Philips Healthcare, Guangzhou, China, People's Republic of, 4Philips Healthcare, HongKong, China, People's Republic of
Synopsis
Arterial stenosis of the
lower extremities is the most common cause of amputation in diabetic patients. Contrast-enhanced MR angiographyis images suffer from venous contamination and is reported potential renal toxicity. Our NCE-MRA showed a high percentage of stenosis segments
and provides higher image quality than the CE-MRA. The NCE-MRA technique is
capable of clear depiction and accurate detection of the whole lower extremity
arterial tree in patients with diabetes.Purpose
Arterial stenosis of the lower extremities is the
most common cause of amputation in diabetic patients [1]. Contrast-enhanced
(CE) MR angiography (MRA) is routinely used for imaging of lower extremity
arteries, but the images suffer from poor spatial resolution and venous
contamination, which is due to the short first pass window of contrast agents.
Recently an optimized non-contrast-enhanced (NCE) MRA technique using iMSDE
prepared bSSFP acquisition was proposed and showed great potential for lower
extremity stenosis examination in healthy volunteers [2]. The purpose of this
study was to assess the image quality of the iMSDE prepared NCE-MRA technique
and evaluate its feasibility of arterial stenosis detection in diabetic
patients, with the CE-MRA method as a reference.
Methods
The study was approved by local institutional
review board. 14 type 2 diabetes (11 males, 49-75 years) were recruited and
scanned with our NCE-MRA and CE-MRA techniques on a Achieva 1.5T scanner (Philips
Medical System, Best, Netherlands).
MR
Imaging For NCE-MRA, imaging parameters were: TR/TE=4.1/2.1 ms, Flip
angle 90°, FOV=340×359×80
mm3, acquisition matrix: 284×298,
67 slices, resolution 1.2 mm3 isotropic, SENSE factor 2, scan time
4-6min/station; CE-MRA imaging: TR/TE=2.7/0.96 ms, FOV=360×360×112
mm3, acquisition matrix: 256×200,
70 slices, resolution 1.4×1.8 mm2, scan
time:≈29.4 sec-1.54min/station.
Image analysis Image quality of
all images were assessed on Philips MR WorkSpace (Extended MR WorkSpace, 2.6.3.3,
2011) by a radiologist with 10 years’ experience in cardiovascular imaging.
Location and extent of arterial stenosis were reviewed by another two
radiologist with prior information blinded to each other.
Statistical analysis A paired t-test was used to compare the
differences of signal to noise ratio (SNR) and artery-muscle contrast to noise
ratio (CNR) between NCE-MRA and CE-MRA techniques (SPSS 20, IBM, Armonk, NY, USA
). a p value of 0.05 or less was considered to be statistically significant.
Results
All subjects successfully underwent NCE-MRA and
CE-MRA of the lower extremities. Of all the patients, a high percentage of
arterial segments with stenosis was confirmed on the NCE-MRA techniques
(185/196=94%, p = 0.185). The average SNR on NCE-MRA was higher than those on
CE-MRA (161.0±136.6 vs 111.4±72.9, p=0.013, Table 1) and no significant
difference of the average CNR on NCE-MRA and CE-MRA was found (p=0.068).
Discussion and conclusion
In this study, the feasibility
of the optimized iMSDE prepared NCE-MRA technique, which allows for easier and
faster scan, was evaluated using the CE-MRA as a reference. Our NCE-MRA showed
a high percentage of stenosis segments and provides higher image quality than
the CE-MRA. The NCE-MRA technique is capable of clear depiction and accurate
detection of the whole lower extremity arterial tree in patients with diabetes.
Acknowledgements
No acknowledgement found.References
[1]. Li J et al., ISMRM 2015; p: 2670
[2]. Thiruvoipati,
T., Peripheral artery disease in patients with diabetes: Epidemiology,
mechanisms, and outcomes. World Journal of Diabetes, 2015. 6(7): p. 961.
[3]. Liu, X., et al., Detection of
infragenual arterial disease using non-contrast-enhanced MR angiography in
patients with diabetes. Journal of Magnetic Resonance Imaging, 2014. 40(6): p.
1422-1429.