A study on diffusion and kurtosis features of cervical cancer based on non-Gaussian diffusion weighted model
Autor: | Guangyao Wu, Fei Tuo, Panying Wang, Qunqi Sun, Hongbin Cai, Deepa Thapa |
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Rok vydání: | 2018 |
Předmět: |
Adult
Gaussian Normal Distribution Biomedical Engineering Biophysics Uterine Cervical Neoplasms Pilot Projects 030218 nuclear medicine & medical imaging 03 medical and health sciences symbols.namesake 0302 clinical medicine medicine Humans Effective diffusion coefficient Radiology Nuclear Medicine and imaging Diffusion (business) Diffusion Kurtosis Imaging Aged Retrospective Studies Mathematics Cervical cancer medicine.diagnostic_test business.industry Reproducibility of Results Magnetic resonance imaging Middle Aged medicine.disease Diffusion Magnetic Resonance Imaging Diffusion Tensor Imaging 030220 oncology & carcinogenesis Myometrium symbols Kurtosis Female Nuclear medicine business Gaussian network model |
Zdroj: | Magnetic Resonance Imaging. 47:60-66 |
ISSN: | 0730-725X |
Popis: | Objective To explore the diffusion and kurtosis features of cervical cancer (CC) and study the feasibility of diffusion kurtosis imaging (DKI) based on the non-Gaussian diffusion-weighted model to differentiate the stage and grade of CC. Methods A total of 50 patients with pathologically confirmed CC were enrolled. MRI examinations including DKI (with 5b values 200, 500, 1000, 1500, and 2000smm− 2 were performed before any treatment. The apparent coefficient (Dapp) and the apparent kurtosis value (Kapp) were derived from the non-gaussian diffusion model, and the apparent diffusion coefficient (ADC) was derived from the Gaussian model. The parameters of CC and normal tissue (myometrium) were obtained, analyzed statistically, and evaluated with respect to differentiating stage and grade between the tissue and the CC. Results ADC and Dapp values of CC were significantly lower than that of the normal myometrium (P = 0.024 and P Conclusions The pilot study demonstrated that these diffusion and kurtosis indices from DKI based on the non-Gaussian diffusion-weighted model putatively differentiated the grade and stage of CC. |
Databáze: | OpenAIRE |
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