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Diffusion-weighted MR imaging of pancreatic cancer: A comparison of mono-exponential, bi-exponential and non-Gaussian kurtosis models. | LitMetric

Diffusion-weighted MR imaging of pancreatic cancer: A comparison of mono-exponential, bi-exponential and non-Gaussian kurtosis models.

Eur J Radiol Open

Division of Medical Imaging and Technology, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden; Laboratory of Computational Medicine, Institute of Computer Science, FORTH, Heraklion, Greece; Centre for the Unknown, Champalimaud Foundation, Lisbon, Portugal.

Published: April 2016

Objectives: To compare two Gaussian diffusion-weighted MRI (DWI) models including mono-exponential and bi-exponential, with the non-Gaussian kurtosis model in patients with pancreatic ductal adenocarcinoma.

Materials And Methods: After written informed consent, 15 consecutive patients with pancreatic ductal adenocarcinoma underwent free-breathing DWI (1.5T, b-values: 0, 50, 150, 200, 300, 600 and 1000 s/mm). Mean values of DWI-derived metrics ADC, D, D*, f, K and D were calculated from multiple regions of interest in all tumours and non-tumorous parenchyma and compared. Area under the curve was determined for all metrics.

Results: Mean ADC and D showed significant differences between tumours and non-tumorous parenchyma (both < 0.001). Area under the curve for ADC, D, D*, f, K, and D were 0.77, 0.52, 0.53, 0.62, 0.42, and 0.84, respectively.

Conclusion: ADC and D could differentiate tumours from non-tumorous parenchyma with the latter showing a higher diagnostic accuracy. Correction for kurtosis effects has the potential to increase the diagnostic accuracy of DWI in patients with pancreatic ductal adenocarcinoma.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5144112PMC
http://dx.doi.org/10.1016/j.ejro.2016.04.002DOI Listing

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