Ying Li1, Cuiping Ren1, Jingliang Cheng1, and Zhizheng Zhuo2
1First affiliated hospital of Zhengzhou university, Zhengzhou, China, 2Clinical Science, Philips Healthcare, Beijing, China
Synopsis
This work investigated
and evaluated the role of magnetic resonance (MR) diffusion kurtosis
imaging(DKI) in characterizing the bone
tumors, and furtherly evaluate the ability of DKI parameters to differentiate
benign and malignant tumors by using
receiver operating characteristic curve(ROC), which
might be helpful for clinical diagnosis and studies.
Purpose
Recent studies have shown that DKI provides a new method
to evaluate the non-gaussian diffusion behavior in complex biological tissues
in various brain diseases1and breast tumors2, but it was rarely
used in the study of bone tumors. The purpose of this study is to investigate
the application of DKI on bone tumors and furtherly evaluate the ability of DKI
parameters to differentiate benign and malignant tumors. Methods
Thirty-five
patients (20 males and 15 females aged 35.1±19.6 years old) with bone tumors
(all have been diagnosed as bone tumor according to pathological biopsy)were included
in this study. And based on the WHO Classification of Tumors of Soft Tissue and
Bone(2012) criteria, 35 patients were divided into two groups:17 for benign
tumors and 18 for malignancies. All the patients were scanned by MR DKI sequence
based on a 3T MR scanner (Ingenia, Philips Healthcare, Best, the Netherlands).
The DKI scanning was performed with 3 b-values of 0, 600, 1,200 s/mm2
and 15 motion-sensitive gradient directions. The DTI parameters (mean
diffusivity (MD),fractional anisotropy(FA), axial diffusivity (AD), radial
diffusivity (RD)) and DKI parameters (mean kurtosis (MK), axial kurtosis(AK),
radial kurtosis(RK)) were calculated by using DKE software (Version 2.6.0,
website:www.musc.edu/cbi). All the above
parameters were measured by drawing ROIs (Region of Interest) within the periphery
and center of the lesions. And the measured parameters in benign and malignant
lesions were compared by using Mann-Whitney U test with SPSS software (version
16.0). A P value of less than 0.05 was
considered statistically significant. And receiver operating characteristic
(ROC) analysis was performed to assess the sensitivity and specificity of every
parameter in the diagnosis of benign and malignant bone lesions.Results
The statistical results of the
parameters with significant difference between benign and malignant lesions
were summarized in Table 1. The results revealed that FA and RK values of the
periphery in the lesions are significantly different (P <0.05).All the
parameters of the center in the lesions are not significantly different (P >0.05).
The ROC analysis results were shown in Figure 2, which showed the ability of FA
and RK values of the lesion periphery to
differentiate benign and malignant lesions, and the area under the ROC
curve are 0.82 and 0.775 respectively.Discussion
DKI
is a non-invasive functional imaging based on diffusion MRI technique, which
provide useful information of tumor cytoarchitectonic complexityon the water
diffusion properties3.Our study results show
that the DTI and DKI related parameters is able to differentiate benign from
malignant bone tumors. Meanwhile, according
to our analysis, FA values which belong to DTI related parameters and RK which
belong to
DKI related parameters have the ability of characterizing bone
tumors, which
reflect microstructure differences between benign and malignant tumors. In
the future, more patients will be included in our study and furtherly to
evaluate the clinical application of texture analysis and classifiers in
clinical bone diseases. Conclusions
DKI technique is helpful to
evaluate the pathological behavior and provide useful information on the
diffusion properties related to bone tumors microenvironment. Acknowledgements
No acknowledgement found.References
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[3].Dongmei
Wu, Guanwu Li, Junxiang Zhang, et al. Characterization of
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