qing li1, shuangshuang xie1, yu zhang2, wenjing hou1, yue cheng1, and wen shen1
1Radiology, Tianjin First Center Hospital, Tianjin, China, People's Republic of, 2Philips healthcare, Beijing, China, People's Republic of
Synopsis
This
study investigated the value of multi-parametric analysis using MR IVIM, BOLD
MRI and DKI for the diagnosis of liver fibrosis. Eight patients with clinically
diagnosed liver fibrosis and thirteen healthy control subjects were scanned
with DKI, IVIM, BOLD. IVIM derived D*, D, f, DKI derived MD, K value and BOLD
derived R2* were compared between the two groups. Our results showed D*, D, f,
MD decreased, R2* and K value increased in patients with liver fibrosis, but
only D* and D demonstrated significant difference (P<0.05). We
therefore conclude D* and D could be useful in the diagnosis of liver fibrosis.Purpose
Liver fibrosis is an abnormal continuation of connective tissue production and deposition1. Recent evidence suggests that liver fibrosis can be reversible2. Accurate diagnosis of liver fibrosis is crucial for making therapeutic decisions, predicting progression and determining prognosis3. Diffusion dependent intravoxel incoherent motion (IVIM), diffusion kurtosis imaging (DKI) and blood oxygenation level dependent (BOLD) MRI are useful in quantifying the diffusion and perfusion effects in tissue4-6. Previous studies have demonstrated the capability of IVIM and BOLD to evaluate liver cirrhosis or fibrosis4, 5. However, no reports have been published to evaluted liver fibrosis using DKI or multi-parametric MR imaging. The purpose of this study was to investigate the value of multi-parametric analysis using MR IVIM, BOLD and DKI for the diagnosis of liver fibrosis.
Materials and Methods
Eight patients
with clinically diagnosed liver fibrosis (mean age=50.5±9.1 years; F/M=3/5) and
thirteen healthy control subjects (mean age=38.4±13.2 years; F/M=5/8) were
recruited. DKI, IVIM, BOLD scans were acquired using a 3.0 T scanner (Ingenia,
Philips, Healthcare, Best, the Netherlands) and a 32 channel phased-array
receiver coil with a whole liver. IVIM and DKI data were analyzed by using DWI
post-processing software performed in a proprietary programming environment
(PRIDE; Philips Medical Systems) and bold data were analyzed using the software
ImageJ (available at http://rsb.info.nih.gov/ij/). Ten
regions of interest (ROIs) were drawn on the upper, hilar and lower slices with
attention to avoid the large blood vessels, bile ducts and artifacts. The
location and size of each ROI was as same as possible in different sequences.
Diffusion and perfusion related parameters (IVIM derived D*, D, f; DKI derived
MD, K value; BOLD derived R2*) were compared by Student t-test using IBM SPSS
Statistics 20.0 (Armonk, New York, USA). P<0.05 indicated a
significant difference.
Results
MR parameters
derived from IVIM, DKI and BOLD were compared between the two groups and
summarized in table 1. Typical parametric images of the two groups are demonstrated
in Figure1. Compared to control group, the perfusion related D* decreased and R2*
increased, and the diffusion related D, f and MD decreased and K value
increased in patient group with liver fibrosis. But only D* and D demonstrated
significant difference between the two groups (P<0.05).
Discussion
In
this study, D* decreased and R2* increased in patient group with liver fibrosis
compared to control group, which might indicate the reduction of whole liver
perfusion and arterial blood supply. The decrease of D, MD and increase of K
value might result from the limitation of water diffusion, and this was
consistent with the pathological changes of liver fibrosis with the excessive
deposition of extracellular matrix. Therefore, the combination of
multi-parametric MR imaging can provide more diagnostic information to give
overall assessment of liver fibrosis.
Conclusion
Among all parameters derived from MR IVIM, DKI and BOLD, decreased D* and D could be useful in the diagnosis of liver fibrosis.
Acknowledgements
No acknowledgement found.References
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