Diffusion kurtosis imaging as a biomarker of breast cancer
Diffusion kurtosis imaging (DKI) is a diffusion-weighted imaging method that describes non-Gaussian signal behavior using a relatively simple mathematical model. A parameter, kurtosis K, describes the deviation of the diffusion signal decay from a Gaussian pattern.
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Prognostic Value of Pre-Treatment Diffusion Kurtosis Imaging for Progression-Free Survival Prediction in Advanced Nasopharyngeal Carcinoma. [PDF]
Ren W, Zheng X, Wu S, Wu C, Zheng D.
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Non-invasive MRI-based assessment of reactive stromal grade in prostate cancer using diffusion kurtosis imaging and stretched-exponential model. [PDF]
Zhou KP +7 more
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MRI-based diffusion weighted imaging and diffusion kurtosis imaging grading of clear cell renal cell carcinoma using a deep learning classifier. [PDF]
Zheng W +10 more
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The diagnostic and prediction performance of MR diffusion kurtosis imaging in the glioma molecular classification: a systematic review and meta-analysis. [PDF]
Zhao H, Hou Z, He Q, Liu X, Xie J.
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Assessment of microstructural abnormalities in gray and white matter of minimal hepatic encephalopathy patients using diffusion kurtosis imaging and their associations with neurocognitive dysfunction. [PDF]
Sun Q, Fan W, Liu Y, Kou Z, Han P.
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Diffusion kurtosis imaging and arterial spin labeling MRI for assessment of post-contrast acute kidney injury risk in rats with subclinical kidney injury. [PDF]
Yuan H +8 more
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Diffusion tensor imaging and diffusion kurtosis imaging of the pancreas - feasibility, robustness and protocol comparison in a healthy population. [PDF]
Bilreiro C +5 more
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Effect of simultaneous multislice acceleration on the quantitative measurements of diffusion-weighted imaging, intravoxel incoherent motion, and diffusion kurtosis imaging in hepatocellular carcinoma and abdominal organs. [PDF]
Yang T +6 more
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An Assessment of the Diagnostic Accuracy of Magnetic Resonance Diffusion Kurtosis Imaging in Diagnosing Degenerative Lumbar Spine Disease: A Scoping Review. [PDF]
Abraham Barnes N +3 more
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