The apparent diffusion coefficient is a quantitative measure derived from imaging or microfluidic data to assess molecular mobility in biological or fluid systems.
The apparent diffusion coefficient (ADC) is a quantitative parameter derived from diffusion-weighted MRI (DWI). When DWI is performed with different b-factors (gradient pulse amplitudes), an exponentialsignal decay curve is obtained. ADC numerically equals the slope of this curve on a semi-log scale and reflects the average diffusion within a voxel (three-dimensional pixel). On ADC maps, areas with restricted diffusion appear hypointense (dark), which correlates with high cellularity of malignant tumors.
History
Diffusion MRI was proposed by Stejskal and Tanner in 1965, using gradient pulses to measure self-diffusion. In 1984, Denis Le Bihan demonstrated its applicability in medicine, obtaining the first diffusion-weighted images of the brain. The term 'apparent diffusion coefficient' emphasized the difference from free diffusion due to tissue barriers. By the 1990s, ADC had become a routine quantitative biomarker in MRI. In the 2000s, the IVIM concept (Le Bihan et al.) allowed separation of the microcirculation contribution. Today, ADC is a key component of multiparametric prostate MRI and brain diagnostics.
How it works
The DWI sequence includes two strong gradient pulses of equal amplitude G, duration δ, separated by interval Δ. The first pulse encodes the phase of spins according to their position, the second refocuses. If a spin has moved, the phase shift is not compensated, and the signal is attenuated. By measuring the signal at a minimum of two b-values (b = γ²G²δ²(Δ-δ/3), where γ is the gyromagnetic ratio), a plot of ln(S) vs b is constructed. The slope of this plot (absolute value) is the ADC. In practice, a monoexponential model is used, but due to complex microstructure, deviations may occur. The ADC map is computed pixel-by-pixel after model fitting.
In practice
In MRI, ADC maps help distinguish cancer (dense cellular structure, reduced diffusion) from healthy tissue or edema, improving diagnostic accuracy without biopsy.
Fun fact
ADC values help not only to detect cancer but also to predict its aggressiveness: the lower the ADC, the higher the Gleason score on biopsy.
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