Blar i NTNU Open på forfatter "Vidic, Igor"
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Accuracy of breast cancer lesion classification using intravoxel incoherent motion diffusion-weighted imaging is improved by the inclusion of global or local prior knowledge with bayesian methods
Vidic, Igor; Jerome, Neil Peter; Bathen, Tone Frost; Goa, Pål Erik; While, Peter Thomas (Journal article; Peer reviewed, 2019)Background Diffusion‐weighted MRI (DWI) has potential to noninvasively characterize breast cancer lesions; models such as intravoxel incoherent motion (IVIM) provide pseudodiffusion parameters that reflect tissue perfusion, ... -
Multi-modal characterization of vasculature and nanoparticle accumulation in five tumor xenograft models
Sulheim, Einar; Kim, Jana; van Wamel, Annemieke; Kim, Eugene; Snipstad, Sofie; Vidic, Igor; Grimstad, Ingeborg; Widerøe, Marius; Torp, Sverre Helge; Lundgren, Steinar; Waxman, David J.; Davies, Catharina de Lange (Journal article; Peer reviewed, 2018)Preclinical research has demonstrated that nanoparticles and macromolecules can accumulate in solid tumors due to the enhanced permeability and retention effect. However, drug loaded nanoparticles often fail to show increased ... -
Simulation of water self-diffusion in breast tissue
Bakken, Brynjar Larssen (Master thesis, 2018)Diffusion weighted magnetic resonance imaging (DW-MRI) can be used to distinguish malignant tumour tissue from benign lesions and healthy tissue. Although this is a well established clinical method, the detailed relationship ... -
Stromal collagen content in breast tumors correlates with in vivo diffusion-weighted imaging: A comparison of multi b-value DWI with histologic specimen from benign and malignant breast lesions
Egnell, Liv Elisabet; Vidic, Igor; Jerome, Neil Peter; Bofin, Anna M.; Bathen, Tone Frost; Goa, Pål Erik (Journal article; Peer reviewed, 2019)Background:Increased deposition and reorientation of stromal collagenfibers are associated with breast cancer progres-sion and invasiveness. Diffusion-weighted imaging (DWI) may be sensitive to the collagenfiber organization ... -
Support vector machine for breast cancer classification using diffusion-weighted MRI histogram features: Preliminary study.
Vidic, Igor; Egnell, Liv; Jerome, Neil Peter; Teruel, Jose Ramon; Sjøbakk, Torill Eidhammer; Østlie, Agnes; Fjøsne, Hans Erikssønn; Bathen, Tone Frost; Goa, Pål Erik (Journal article, 2017)Background Diffusion-weighted MRI (DWI) is currently one of the fastest developing MRI-based techniques in oncology. Histogram properties from model fitting of DWI are useful features for differentiation of lesions, and ...