Department of Radiology, Daejeon St. Mary's Hospital, Daejeon.
Seoul St. Mary's Hospital, The Catholic University of Korea, Republic of Korea.
Medicine (Baltimore). 2021 Oct 15;100(41):e27495. doi: 10.1097/MD.0000000000027495.
Intravoxel incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging (MRI) can be used to estimate perfusion-related parameters, but these parameters may differ, based on the curve-fitting algorithm used for IVIM. Microvessel density (MVD) and vascular endothelial growth factor (VEGF) status are used as angiogenic factors in breast cancer. We aimed to investigate the relationship between MVD, VEGF, and intravoxel incoherent motion (IVIM)-derived parameters, obtained by 4 curve-fitting algorithms, in patients with invasive breast cancers.This retrospective study investigated IVIM-derived parameters, D (ie, tissue diffusivity), D∗ (ie, pseudodiffusivity), and f (ie, perfusion fraction), of 55 breast cancers, using 10 b values (range, 0-800 s/mm2) and 4 curve-fitting algorithms: algorithm 1, linear fitting of D and f first, followed by D∗; algorithm 2, linear fitting of D and f and nonlinear fitting of D∗; algorithm 3, linear fitting of D and f, linear fitting of D∗, and ignoring D contribution for low b values; and algorithm 4, full nonlinear fitting of D, f, and D∗. We evaluated whole-tumor histograms of D, f, and D∗ for their association with MVD and VEGF.D∗10, D∗25, D∗50, D∗mean, D∗75, D∗90, f10, and f25, derived using algorithm 3, were associated with VEGF expression (P = .043, P = 0.012, P = .019, P = .024, P = .044, P = .041, P = .010, and P = .005, respectively). However, no correlation existed between MVD and IVIM-derived parameters.Perfusion-related IVIM parameters obtained by curve-fitting algorithm 3 may reflect VEGF expression.
体素内不相干运动（IVIM）扩散加权磁共振成像（MRI）可用于估计灌注相关参数，但这些参数可能因用于 IVIM 的曲线拟合算法而异。微血管密度（MVD）和血管内皮生长因子（VEGF）状态被用作乳腺癌的血管生成因子。我们旨在研究 4 种曲线拟合算法得出的 MVD、VEGF 与 IVIM 衍生参数之间的关系，这些参数是在患有浸润性乳腺癌的患者中获得的。这项回顾性研究使用 10 个 b 值（范围 0-800 s/mm2）和 4 种曲线拟合算法（算法 1：先对 D（即组织扩散系数）和 f（即灌注分数）进行线性拟合，然后对 D进行拟合；算法 2：对 D 和 f 进行线性拟合，对 D进行非线性拟合；算法 3：对 D 和 f 进行线性拟合，对 D进行线性拟合，并对低 b 值忽略 D 的贡献；算法 4：对 D、f 和 D进行全非线性拟合），研究了 55 例乳腺癌的 IVIM 衍生参数 D（即组织扩散系数）、D*（即假性扩散系数）和 f（即灌注分数）。我们评估了 D、f 和 D的整个肿瘤直方图，以评估它们与 MVD 和 VEGF 的相关性。算法 3 得到的 D10、D25、D50、Dmean、D75、D*90、f10 和 f25 与 VEGF 表达相关（P=0.043、P=0.012、P=0.019、P=0.024、P=0.044、P=0.041、P=0.010 和 P=0.005）。然而，MVD 与 IVIM 衍生参数之间没有相关性。算法 3 得到的与灌注相关的 IVIM 参数可能反映了 VEGF 的表达。
