Repeatability of IVIM biomarkers from diffusion-weighted MRI in head and neck:Bayesian probability versus neural network

Purpose: The intravoxel incoherent motion (IVIM) model for DWI might provide useful biomarkers for disease management in head and neck cancer. This study compared the repeatability of three IVIM fitting methods to the conventional nonlinear least-squares regression: Bayesian probability estimation, a recently introduced neural network approach, IVIM-NET, and a version of the neural network modified to increase consistency, IVIM-NETmod. Methods: Ten healthy volunteers underwent two imaging sessions of the neck, two weeks apart, with two DWI acquisitions per session. Model parameters (ADC, diffusion coefficient (Formula presented.), perfusion fraction (Formula presented.), and pseudo-diffusion coefficient (Formula presented.)) from each fit method were determined in the tonsils and in the pterygoid muscles. Within-subject coefficients of variation (wCV) were calculated to assess repeatability. Training of the neural network was repeated 100 times with random initialization to investigate consistency, quantified by the coefficient of variance. Results: The Bayesian and neural network approaches outperformed nonlinear regression in terms of wCV. Intersession wCV of (Formula presented.) in the tonsils was 23.4% for nonlinear regression, 9.7% for Bayesian estimation, 9.4% for IVIM-NET, and 11.2% for IVIM-NETmod. However, results from repeated training of the neural network on the same data set showed differences in parameter estimates: The coefficient of variances over the 100 repetitions for IVIM-NET were 15% for both (Formula presented.) and (Formula presented.), and 94% for (Formula presented.); for IVIM-NETmod, these values improved to 5%, 9%, and 62%, respectively. Conclusion: Repeatabilities from the Bayesian and neural network approaches are superior to that of nonlinear regression for estimating IVIM parameters in the head and neck

Tumour heterogeneity assessment using histogram analysis of IVIM-based diffusion and perfusion characteristics of cervical cancer

Histogram analysis of intravoxel incoherent motion (IVIM) diffusion-weighted MRI (DWI) could be a promising quantitative approach in assessing tumour heterogeneity. We retrospectively studied thirty-five treatment-naïve patients with cervical cancer who had IVIM MRI examinations to determine to the value of IVIM histogram analysis, as a means of assessing tumour heterogeneity, in relationship with clinical staging. We observed statistically significant differences in most histogram parameters of f (perfusion fraction) between patients with early and locally advanced disease but only three histogram parameters of D (true diffusion coefficient) were statistically different in patients with early and locally advanced cervical cancer

Radiation-induced early temporal changes of IVIM-based diffusion and perfusion patterns of bone marrow predict the likelihood of hematological toxicity

Electronic Poster Session: MSK - Bone & Soft Tissue: no. 4465Intravoxel incoherent motion (IVIM) diffusion-weighted MRI offers the unique opportunity to simultaneously study the diffusion and perfusion changes in the bone marrow following whole-pelvis radiotherapy. We prospectively studied twenty-eight patients with cervical cancer who had paired IVIM MRI examinations before and at week-4 of treatment. We observed a distinctive positive trend of D (true diffusion coefficient) in patients who suffered hematological toxicity (HT), whilst D remained relatively stable in patients who did not suffer HT. In addition, f (perfusion fraction) increased following treatment, but this pattern was not unique to patients who suffered HT

Histogram analysis of intravoxel incoherent motion MRI in predicting chemoradiotherapy response in cervical cancer

Histogram analysis of intravoxel incoherent motion (IVIM) diffusion-weighted MRI (DWI) could be a promising quantitative approach in predicting tumour response to chemoradiotherapy (CRT) in cervical cancer. We retrospectively studied twenty-five patients with cervical cancer who had paired IVIM MRI examinations before and at week-4 of treatment. We observed that histogram skewness of true diffusion coefficient (D) prior to treatment and that a large increase in the 90th percentile of D following CRT were predictive of better CRT response

Histogram analysis of intravoxel incoherent motion parameters in assessing tumour diffusion and perfusion heterogeneity in cervical cancer before and after chemoradiotherapy

Histogram analysis of intravoxel incoherent motion (IVIM) diffusion-weighted MRI (DWI) could be a promising quantitative approach in assessing tumour heterogeneity. We retrospectively studied twenty-five patients with cervical cancer who had paired IVIM MRI examinations before and at week-4 of chemoradiotherapy treatment (CRT). We observed histogram skewness and kurtosis significantly decreased while mean and all percentiles significantly increased in apparent diffusion coefficient (ADC), true diffusion coefficient (D) and perfusion fraction (f) following treatment. Furthermore, these significant differences were not correlated with a change in primary tumour volume (PTV) following treatment

Diffusion-weighted magnetic resonance imaging of primary cervical cancer in the detection of sub-centimetre metastatic lymph nodes

202006 bcrcVersion of RecordPublishe

Repeatability of MR fingerprinting in normal cervix and utility in cervical carcinoma

202110 bcvcVersion of RecordPublishe