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Abstract #4701

Comparison of six diffusion-weighted imaging models for the detection of treatment effects in pancreatic cancer patients

Oliver J Gurney-Champion1,2,3, Remy Klaassen4,5, Marc R W Engelbrecht2, Jaap Stoker2, Johanna W Wilmink4, Marc G Besselink6, Arjan Bel3, Geertjan van Tienhoven3, Hanneke W M van Laarhoven4, and Aart J Nederveen2

1Joint department of physics, Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom, 2Department of Radiology & Nuclear Medicine, Academic Medical Center, Amsterdam, Netherlands, 3Department of Radiation Oncology, Academic Medical Center, Amsterdam, Netherlands, 4Department of Medical Oncology, Academic Medical Center, Amsterdam, Netherlands, 5LEXOR (Laboratory for Experimental Oncology and Radiobiology), Academic Medical Center, Amsterdam, Netherlands, 6Department of Surgery, Academic Medical Center, Amsterdam, Netherlands

We tested the performance of six diffusion models for detecting effects from treatment in pancreatic ductal adenocarcinoma. All models, including the mono-exponential fit, were able to detect parameter changes after treatment in individual patients for five out of nine patients. For multi-parametric models treatment affected different parameters for different patients, allowing potentially discriminating between types of effects. The pseudo diffusion coefficient values from the intravoxel incoherent motion model were in line with instant dephasing due to bulk motion rather than capillary perfusion, limiting its clinical interpretation. Using two mono-exponential fits, one at low and one at high b-values, was preferred.

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