2014
DOI: 10.1016/j.mri.2014.04.005
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Feasibility of diffusional kurtosis tensor imaging in prostate MRI for the assessment of prostate cancer: Preliminary results

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Cited by 54 publications
(42 citation statements)
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“…Current clinical applications of DTI for prostate cancer are focused predominantly on differentiation of tumor from normal prostate gland [ 7 – 13 ] and slightly on the assessment of tumor aggressiveness with respect to GS [ 14 16 ]. A wide range of MD and FA values from prostate tumor foci has been reported.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Current clinical applications of DTI for prostate cancer are focused predominantly on differentiation of tumor from normal prostate gland [ 7 – 13 ] and slightly on the assessment of tumor aggressiveness with respect to GS [ 14 16 ]. A wide range of MD and FA values from prostate tumor foci has been reported.…”
Section: Introductionmentioning
confidence: 99%
“…A wide range of MD and FA values from prostate tumor foci has been reported. Most of the studies show that FA of prostate tumor foci is higher than the one of noncancerous prostate tissue [ 7 10 ] while lower or equal FA values have been also reported in some studies [ 10 – 13 ]. The variability in DTI measures can be mainly due to the uncertainties during imaging.…”
Section: Introductionmentioning
confidence: 99%
“…Several studies have highlighted the clinical benefit of DKI over DTI in the human brain, for example in the assessment of Parkinson disease or cerebral gliomas . Initial studies have demonstrated the feasibility of DKI in the abdomen, such as the kidney and prostate (Fig. ).…”
Section: Discussionmentioning
confidence: 99%
“…This deviation from a uniform diffusion pattern can be mathematically described as kurtosis and visualized by DKI, which applies diffusion gradients with multiple b-values in multiple spatial directions [38]. The DKI-derived metric K has been shown to be significantly different in cancer than in non-cancerous prostate tissue [39] and has also been used to differentiate high-grade from low-grade prostate cancer [4042]. Others, however, found that the K-values of prostate cancer and benign prostatic hyperplasia showed marked overlap [43] and that DKI-derived metrics did not provide a significant benefit for detection and grading of prostate cancer when compared to standard ADC-maps [44].…”
Section: Dw-mri As a Tool For Risk-assessmentmentioning
confidence: 99%