Diffusion-Weighted Imaging (DWI) is an MRI-based technique that measures the random Brownian motion of water molecules within tissues. This technique is valuable in oncology for its ability to detect changes in tissue cellularity and the integrity of cell membranes.
In biological tissues, water molecules face barriers like cell membranes, fibers, or large molecules that impede their movement. This movement and restriction of the water molecules makes up the diffusion MRI signal. The apparent diffusion coefficient (ADC) is a quantitative metric derived from DWI that measures the magnitude of water molecule diffusion in tissues ¹. Multiple DWI images are obtained at different gradient strengths to calculate the ADC. Analyzing the data obtained from these images generates a map of ADC values. These numerical values help quantify the amount of water molecule displacement within the tissue over time.
Equation relating signal intensity to ADC values.
Provides contrast between different types of tissue without the need for contrast agents.
Can detect early changes in tissue that are not visible on conventional MRI.
Particularly useful in characterizing ovarian masses and distinguishing between benign and malignant lesions.
Noise correction is critical, especially at higher b-values (>1000).
Ongoing research aims to refine DWI techniques to improve accuracy and reduce noise.
Combining DWI with other imaging modalities and developing advanced models like the Restriction Spectrum Imaging (RSI) model to enhance specificity and sensitivity in ovarian cancer detection.
References:
Gallagher, F.A. (2010). An introduction to functional and molecular imaging with MRI. Clinical Radiology, 65(7), 557–566. https://doi.org/10.1016/j.crad.2010.04.006