Intravoxel incoherent motion (IVIM) model approximates the tissue perfusion as a form of pseudo-diffusion, extracted as fast diffusion component in diffusion weighted imaging (DWI). Despite the central role of tissue perfusion in the angiogenesis in cancer, the clinical application of IVIM is hampered due to the susceptibility to noise and tendency of overfitting bi-exponential decay function. Recent introduction of Bayesian algorithm significantly enhanced the robustness and accuracy of IVIM method, renewing its potential as a clinical tool. We therefore set out to examine current IVIM algorithms in the context of neoadjuvant chemotherapy on patients with breast cancer preceding the treatment.
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