4.4 Article

Three-compartment spectral diffusion analysis for breast cancer magnetic resonance imaging

Journal

MAGNETIC RESONANCE IMAGING
Volume 103, Issue -, Pages 179-184

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.mri.2023.04.006

Keywords

Breast cancer; Magnetic resonance imaging; Diffusion-weighted imaging; Spectral diffusion analysis; Multicompartment diffusion model

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The three-compartment diffusion model using magnetic resonance spectral diffusion analysis accurately differentiated IDC from DCIS, but it was not superior to ADC and D-IVIM.
Rationale and objectives: To examine the diagnostic performance of a three-compartment diffusion model with the fixed cut-off diffusion coefficient (D) using magnetic resonance spectral diffusion analysis for differentiating between invasive ductal carcinoma (IDC) and ductal carcinoma in situ (DCIS) and compare the conventional apparent D (ADC), and mean kurtosis (MK), with the tissue D (D-IVIM), perfusion D (D*(IVIM)), and perfusion fraction (f(IVIM)) calculated by conventional intravoxel incoherent motion.Patients and methods: This retrospective study included women who underwent breast MRI with eight b-value diffusion-weighted imaging between February 2019 and March 2022. Spectral diffusion analysis was performed; very-slow, cellular, and perfusion compartments were defined using cut-off Ds of 0.1 x 10(-3) and 3.0 x 10(-3) mm(2)/s (static water D). The mean D (D-s, D-c, D-p, respectively) and fraction F (F-s, F-c, F-p, respectively) for each compartment were calculated. ADC and MK values were also calculated; receiver operating characteristic analyses were performed.Results: Histologically confirmed 132 ICD and 62 DCIS (age range 31-87 [53 +/- 11] years) were evaluated. The areas under the curve (AUCs) for ADC, MK, D-IVIM, D*(IVIM), f(IVIM), D-s, D-c, D-p, F-s, F-c, and F-p were 0.77, 0.72, 0.77, 0.51, 0.67, 0.54, 0.78, 0.51, 0.57, 0.54, and 0.57, respectively. The AUCs for the model combining very-slow and cellular compartments and the model combining the three compartments were 0.81 each, slightly and significantly higher than for ADC, D-IVIM, and D-c (P = 0.09-0.14); and MK (P < 0.05), respectively.Conclusion: Three-compartment model analysis using the diffusion spectrum accurately differentiated IDC from DCIS; however, it was not superior to ADC and D-IVIM. The diagnostic performance of MK was lower than that of the three-compartment model.

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