• Home
  • About
  • People
  • News
    • Advanced diffusion tensor MRI based phenotyping for imaging genetics studies
    • Cardiovascular phenotype-genotype analysis within a CT based lung cancer sreening trial
    • Computer-aided Risk Assessment of Breast Cancer using Gene-Correlated Dynamic Contrast-enhanced MRI
    • Genes in Space
    • High-field (7T) MR Imaging genetics for early prediction of neurocognitive impairment in diabetes
    • Imaging Genetics to unravel the causes of Alzheimer's disease
    • Search for the yet unknown
    • Visual Analysis in Population Imaging Research (VAnPIRe)
  • Contact

Computer-aided Risk Assessment of Breast Cancer using Gene-Correlated Dynamic Contrast-enhanced MRI

People

K.G.A. Gilhuijs

Project Leader

Prof. dr W. Mali

Prof. dr ir. M. Viergever

Bas Van Der Velden

Tycho Bismeijer

Objectives

In this project we aim to find clues from magnetic resonance images (MRI) of the normal breast to predict whether these women are likely to develop a non-dormant cancer. Whether a cancer should be considered “dormant” will be established by analyzing the genes inside the cancer tissue that these women developed. The effects of abnormal gene regulations on the biology of the cancers will be analysed and compared with the MRI. In the future we envision that one pre-screening MRI will result in individualized screening programs, tailored to the individual risk of the women, rather than the one-size-fits-all screening programs that are currently employed.

Recent results

LINK reconstruction of the IL-2 signaling pathway starting from 10 proteins (red symbols) when allowed to grow to 70 proteins. Blue (grey) nodes are true (false) positives.

We have setup and tested the 7 Tesla MR imaging protocol that will be used for data collection with T2D patients and healthy controls. We have optimized image analyses methods to obtain high-resolution MR-based myelin-related cortical maps (see Figure).

MRI of breast cancer (red contour on the right). Also shown are automatically extracted normal tissues from the healthy breast on the other side (blue outlines).

Publications

  1. van der Velden BHM, Dmitriev I, Loo CE, Pijnappel RM, Gilhuijs KGA. Association between parenchymal enhancement of the contralateral breast in DCE-MRI and outcome of patients with unilateral invasive breast cancer. Radiology
  2. van der Velden, B. H., Elias, S. G., Bismeijer, T., Loo, C. E., Viergever, M. A., Wessels, L. F., & Gilhuijs, K. G. (2017). Complementary value of contralateral parenchymal enhancement on DCE-MRI to prognostic models and molecular assays in high-risk ER+HER2- breast cancer. Clinical Cancer Research, clincanres-0176.

© Erasmus MC 2016

Back to top